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de Andrade Pantoja MH, Poleti MD, de Novais FJ, Duarte KKS, Mateescu RG, Mourão GB, Coutinho LL, Fukumasu H, Titto CG. Skin transcriptomic analysis reveals candidate genes and pathways associated with thermotolerance in hair sheep. Int J Biometeorol 2024; 68:435-444. [PMID: 38147121 DOI: 10.1007/s00484-023-02602-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 11/10/2023] [Accepted: 12/09/2023] [Indexed: 12/27/2023]
Abstract
The skin plays an important role in thermoregulation. Identification of genes on the skin that contribute to increased heat tolerance can be used to select animals with the best performance in warm environments. Our objective was to identify candidate genes associated with the heat stress response in the skin of Santa Ines sheep. A group of 80 sheep assessed for thermotolerance was kept in a climatic chamber for 8 days at a stress level temperature of 36 °C (10 am to 04 pm) and a maintenance temperature of 28 °C (04 pm to 10 am). Two divergent groups, with seven animals each, were formed after ranking them by thermotolerance using rectal temperature. From skin biopsy samples, total RNA was extracted, quantified, and used for RNA-seq analysis. 15,989 genes were expressed in sheep skin samples, of which 4 genes were differentially expressed (DE; FDR < 0.05) and 11 DE (FDR 0.05-0.177) between the two divergent groups. These genes are involved in cellular protection against stress (HSPA1A and HSPA6), ribosome assembly (28S, 18S, and 5S ribosomal RNA), and immune response (IGHG4, GNLY, CXCL1, CAPN14, and SAA-4). The candidate genes and main pathways related to heat tolerance in Santa Ines sheep require further investigation to understand their response to heat stress in different climatic conditions and under solar radiation. It is essential to verify whether these genes and pathways are present in different breeds and to understand the relationship between heat stress and other genes identified in this study.
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Affiliation(s)
- Messy Hannear de Andrade Pantoja
- Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, 13635-900, Brazil
| | - Mirele Daiana Poleti
- Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, 13635-900, Brazil
| | - Francisco José de Novais
- Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, 13635-900, Brazil
| | - Kelly Kéffny Souza Duarte
- Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, 13635-900, Brazil
| | - Raluca G Mateescu
- Department of Animal Sciences, University of Florida, Gainesville, FL, USA
| | - Gerson Barreto Mourão
- Escola Superior de Agricultura Luiz de Queiroz Universidade de São Paulo, Av. Pádua Dias, 11, Piracicaba, São Paulo, Brazil
| | - Luiz Lehmann Coutinho
- Escola Superior de Agricultura Luiz de Queiroz Universidade de São Paulo, Av. Pádua Dias, 11, Piracicaba, São Paulo, Brazil
| | - Heidge Fukumasu
- Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, 13635-900, Brazil
| | - Cristiane Gonçalves Titto
- Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, 13635-900, Brazil.
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Contriciani RE, Grade CVC, Buzzatto-Leite I, da Veiga FC, Ledur MC, Reverter A, Alexandre PA, Cesar ASM, Coutinho LL, Alvares LE. Phenotypic divergence between broiler and layer chicken lines is regulated at the molecular level during development. BMC Genomics 2024; 25:168. [PMID: 38347479 PMCID: PMC10863267 DOI: 10.1186/s12864-024-10083-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 02/02/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND Understanding the molecular underpinnings of phenotypic variations is critical for enhancing poultry breeding programs. The Brazilian broiler (TT) and laying hen (CC) lines exhibit striking differences in body weight, growth potential, and muscle mass. Our work aimed to compare the global transcriptome of wing and pectoral tissues during the early development (days 2.5 to 3.5) of these chicken lines, unveiling disparities in gene expression and regulation. RESULTS Different and bona-fide transcriptomic profiles were identified for the compared lines. A similar number of up- and downregulated differentially expressed genes (DEGs) were identified, considering the broiler line as a reference. Upregulated DEGs displayed an enrichment of protease-encoding genes, whereas downregulated DEGs exhibited a prevalence of receptors and ligands. Gene Ontology analysis revealed that upregulated DEGs were mainly associated with hormone response, mitotic cell cycle, and different metabolic and biosynthetic processes. In contrast, downregulated DEGs were primarily linked to communication, signal transduction, cell differentiation, and nervous system development. Regulatory networks were constructed for the mitotic cell cycle and cell differentiation biological processes, as their contrasting roles may impact the development of distinct postnatal traits. Within the mitotic cell cycle network, key upregulated DEGs included CCND1 and HSP90, with central regulators being NF-κB subunits (RELA and REL) and NFATC2. The cell differentiation network comprises numerous DEGs encoding transcription factors (e.g., HOX genes), receptors, ligands, and histones, while the main regulatory hubs are CREB, AR and epigenetic modifiers. Clustering analyses highlighted PIK3CD as a central player within the differentiation network. CONCLUSIONS Our study revealed distinct developmental transcriptomes between Brazilian broiler and layer lines. The gene expression profile of broiler embryos seems to favour increased cell proliferation and delayed differentiation, which may contribute to the subsequent enlargement of pectoral tissues during foetal and postnatal development. Our findings pave the way for future functional studies and improvement of targeted traits of economic interest in poultry.
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Affiliation(s)
- Renata Erbert Contriciani
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil
| | - Carla Vermeulen Carvalho Grade
- Instituto Latino-Americano de Ciências da Vida e da Natureza, Universidade Federal da Integração Latino-Americana (UNILA), Foz do Iguaçu, Brazil
| | - Igor Buzzatto-Leite
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil
| | - Fernanda Cristina da Veiga
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (USP), Piracicaba, Brazil
| | | | - Antonio Reverter
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Agriculture and Food, Brisbane, QLD, Australia
| | - Pamela Almeida Alexandre
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Agriculture and Food, Brisbane, QLD, Australia
| | - Aline Silva Mello Cesar
- Department of Agri-Food Industry, Food and Nutrition, Luiz de Queiroz College of Agriculture, University of São Paulo (USP), Piracicaba, Brazil
| | - Luiz Lehmann Coutinho
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (USP), Piracicaba, Brazil.
| | - Lúcia Elvira Alvares
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.
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Banho CA, de Carvalho Marques B, Sacchetto L, Sepedro Lima AK, Pereira Parra MC, Jeronimo Lima AR, Ribeiro G, Jorge Martins A, dos Santos Barros CR, Carolina Elias M, Coccuzzo Sampaio S, Nanev Slavov S, Strazza Rodrigues E, Vieira Santos E, Tadeu Covas D, Kashima S, Augusto Brassaloti R, Petry B, Gaspar Clemente L, Lehmann Coutinho L, Akemi Assato P, da Silva da Costa FA, Souza-Neto JA, Maria Tommasini Grotto R, Daiana Poleti M, Cristina Chagas Lesbon J, Chicaroni Mattos E, Fukumasu H, Giovanetti M, Carlos Junior Alcantara L, Rahal P, Pessoa Araújo JF, Althouse BM, Vasilakis N, Lacerda Nogueira M. Dynamic clade transitions and the influence of vaccine rollout on the spatiotemporal circulation of SARS-CoV-2 variants in São Paulo, Brazil. Res Sq 2024:rs.3.rs-3788142. [PMID: 38343798 PMCID: PMC10854302 DOI: 10.21203/rs.3.rs-3788142/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
Since 2021, the emergence of variants of concern (VOC) has led Brazil to experience record numbers of in COVID-19 cases and deaths. The expanded spread of the SARS-CoV-2 combined with a low vaccination rate has contributed to the emergence of new mutations that may enhance viral fitness, leading to the persistence of the disease. Due to limitations in the real-time genomic monitoring of new variants in some Brazilian states, we aimed to investigate whether genomic surveillance, coupled with epidemiological data and SARS-CoV-2 variants spatiotemporal spread in a smaller region, can reflect the pandemic progression at a national level. Our findings revealed three SARS-CoV-2 variant replacements from 2021 to early 2022, corresponding to the introduction and increase in the frequency of Gamma, Delta, and Omicron variants, as indicated by peaks of the Effective Reproductive Number (Reff). These distinct clade replacements triggered two waves of COVID-19 cases, influenced by the increasing vaccine uptake over time. Our results indicated that the effectiveness of vaccination in preventing new cases during the Delta and Omicron circulations was six and eleven times higher, respectively, than during the period when Gamma was predominant, and it was highly efficient in reducing the number of deaths. Furthermore, we demonstrated that genomic monitoring at a local level can reflect the national trends in the spread and evolution of SARS-CoV-2.
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Affiliation(s)
- Cecília Artico Banho
- Laboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto; São José do Rio Preto, São Paulo, Brazil
| | - Beatriz de Carvalho Marques
- Laboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto; São José do Rio Preto, São Paulo, Brazil
| | - Lívia Sacchetto
- Laboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto; São José do Rio Preto, São Paulo, Brazil
| | - Ana Karoline Sepedro Lima
- Laboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto; São José do Rio Preto, São Paulo, Brazil
| | - Maisa Carla Pereira Parra
- Laboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto; São José do Rio Preto, São Paulo, Brazil
| | - Alex Ranieri Jeronimo Lima
- Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo, Brazil
| | - Gabriela Ribeiro
- Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo, Brazil
| | - Antonio Jorge Martins
- Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo, Brazil
| | | | - Maria Carolina Elias
- Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo, Brazil
| | - Sandra Coccuzzo Sampaio
- Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo, Brazil
| | - Svetoslav Nanev Slavov
- Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo, Brazil
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Evandra Strazza Rodrigues
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Elaine Vieira Santos
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Dimas Tadeu Covas
- Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo, Brazil
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Simone Kashima
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | | | - Bruna Petry
- University of São Paulo, Centro de Genômica Funcional da ESALQ, Piracicaba, SP, Brazil
| | - Luan Gaspar Clemente
- University of São Paulo, Centro de Genômica Funcional da ESALQ, Piracicaba, SP, Brazil
| | - Luiz Lehmann Coutinho
- University of São Paulo, Centro de Genômica Funcional da ESALQ, Piracicaba, SP, Brazil
| | - Patricia Akemi Assato
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil
| | - Felipe Allan da Silva da Costa
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil
| | - Jayme A. Souza-Neto
- São Paulo State University (UNESP), School of Agricultural Sciences, Botucatu, Brazil
| | - Rejane Maria Tommasini Grotto
- São Paulo State University (UNESP), School of Agricultural Sciences, Botucatu, Brazil
- Molecular Biology Laboratory, Applied Biotechnology Laboratory, Clinical Hospital of the Botucatu Medical School, Brazil
| | - Mirele Daiana Poleti
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Jessika Cristina Chagas Lesbon
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Elisangela Chicaroni Mattos
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Heidge Fukumasu
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Marta Giovanetti
- Oswaldo Cruz Foundation, FIOCRUZ, Rio de Janeiro, Brazil
- Climate Amplified Diseases And Epidemics (CLIMADE), Brazil, Americas
- Sciences and Technologies for Sustainable Development and One Health, Universita Campus Bio-Medico di Roma, Italy
| | - Luiz Carlos Junior Alcantara
- Oswaldo Cruz Foundation, FIOCRUZ, Rio de Janeiro, Brazil
- Climate Amplified Diseases And Epidemics (CLIMADE), Brazil, Americas
| | - Paula Rahal
- Laboratório de Estudos Genômicos, Departamento de Biologia, Instituto de Biociências Letras e Ciências Exatas (IBILCE), Universidade Estadual Paulista (Unesp), São José do Rio Preto, Brazil
| | - João Fernando Pessoa Araújo
- Instituto de Biotecnologia, Universidade Estadual Paulista (Unesp), Botucatu, Brazil
- Laboratório de Microbiologia Molecular, Instituto de Ciências da Saúde, Universidade Feevale, Novo Hamburgo, Brazil
| | - Benjamin M. Althouse
- Department of Biology, New Mexico State University, Las Cruces, NM
- Information School, University of Washington, Seattle, WA
| | - Nikos Vasilakis
- Department of Pathology, University of Texas Medical Branch; Galveston, Texas, United States of America
- Center for Vector-Borne and Zoonotic Diseases, University of Texas Medical Branch, Galveston, Texas, United States of America
- Institute for Human Infection and Immunity, University of Texas Medical Branch, Galveston, Texas, United States of America
| | - Maurício Lacerda Nogueira
- Laboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto; São José do Rio Preto, São Paulo, Brazil
- Department of Pathology, University of Texas Medical Branch; Galveston, Texas, United States of America
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Freitas FAO, Brito LF, Fanalli SL, Gonçales JL, da Silva BPM, Durval MC, Ciconello FN, de Oliveira CS, Nascimento LE, Gervásio IC, Gomes JD, Moreira GCM, Silva-Vignato B, Coutinho LL, de Almeida VV, Cesar ASM. Identification of eQTLs using different sets of single nucleotide polymorphisms associated with carcass and body composition traits in pigs. BMC Genomics 2024; 25:14. [PMID: 38166730 PMCID: PMC10759680 DOI: 10.1186/s12864-023-09863-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 11/30/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Mapping expression quantitative trait loci (eQTLs) in skeletal muscle tissue in pigs is crucial for understanding the relationship between genetic variation and phenotypic expression of carcass traits in meat animals. Therefore, the primary objective of this study was to evaluate the impact of different sets of single nucleotide polymorphisms (SNP), including scenarios removing SNPs pruned for linkage disequilibrium (LD) and SNPs derived from SNP chip arrays and RNA-seq data from liver, brain, and skeletal muscle tissues, on the identification of eQTLs in the Longissimus lumborum tissue, associated with carcass and body composition traits in Large White pigs. The SNPs identified from muscle mRNA were combined with SNPs identified in the brain and liver tissue transcriptomes, as well as SNPs from the GGP Porcine 50 K SNP chip array. Cis- and trans-eQTLs were identified based on the skeletal muscle gene expression level, followed by functional genomic analyses and statistical associations with carcass and body composition traits in Large White pigs. RESULTS The number of cis- and trans-eQTLs identified across different sets of SNPs (scenarios) ranged from 261 to 2,539 and from 29 to 13,721, respectively. Furthermore, 6,180 genes were modulated by eQTLs in at least one of the scenarios evaluated. The eQTLs identified were not significantly associated with carcass and body composition traits but were significantly enriched for many traits in the "Meat and Carcass" type QTL. The scenarios with the highest number of cis- (n = 304) and trans- (n = 5,993) modulated genes were the unpruned and LD-pruned SNP set scenarios identified from the muscle transcriptome. These genes include 84 transcription factor coding genes. CONCLUSIONS After LD pruning, the set of SNPs identified based on the transcriptome of the skeletal muscle tissue of pigs resulted in the highest number of genes modulated by eQTLs. Most eQTLs are of the trans type and are associated with genes influencing complex traits in pigs, such as transcription factors and enhancers. Furthermore, the incorporation of SNPs from other genomic regions to the set of SNPs identified in the porcine skeletal muscle transcriptome contributed to the identification of eQTLs that had not been identified based on the porcine skeletal muscle transcriptome alone.
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Affiliation(s)
- Felipe André Oliveira Freitas
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, 13416-000, SP, Brazil
- Department of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA
| | - Luiz F Brito
- Department of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA
- Faculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga, 13635- 900, SP, Brazil
| | - Simara Larissa Fanalli
- Faculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga, 13635- 900, SP, Brazil
| | - Janaína Lustosa Gonçales
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, 13416-000, SP, Brazil
| | | | - Mariah Castro Durval
- Faculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga, 13635- 900, SP, Brazil
| | - Fernanda Nery Ciconello
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, 13416-000, SP, Brazil
| | | | | | - Izally Carvalho Gervásio
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, 13416-000, SP, Brazil
| | - Julia Dezen Gomes
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, 13416-000, SP, Brazil
| | | | - Bárbara Silva-Vignato
- Faculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga, 13635- 900, SP, Brazil
| | - Luiz Lehmann Coutinho
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, 13416-000, SP, Brazil
| | - Vivian Vezzoni de Almeida
- College of Veterinary Medicine and Animal Science, Federal University of Goiás, Goiânia, 74001-970, GO, Brazil
| | - Aline Silva Mello Cesar
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, 13416-000, SP, Brazil.
- Faculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga, 13635- 900, SP, Brazil.
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Conteville LC, da Silva JV, Andrade BGN, Cardoso TF, Bruscadin JJ, de Oliveira PSN, Mourão GB, Coutinho LL, Palhares JCP, Berndt A, de Medeiros SR, Regitano LCDA. Rumen and fecal microbiomes are related to diet and production traits in Bos indicus beef cattle. Front Microbiol 2023; 14:1282851. [PMID: 38163076 PMCID: PMC10754987 DOI: 10.3389/fmicb.2023.1282851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/22/2023] [Indexed: 01/03/2024] Open
Abstract
Background Ruminants harbor a complex microbial community within their gastrointestinal tract, which plays major roles in their health and physiology. Brazil is one of the largest producers of beef in the world and more than 90% of the beef cattle herds are composed of pure and crossbred Nelore (Bos indicus). Despite its importance to the Brazilian economy and human feeding, few studies have characterized the Nelore microbiome. Therefore, using shotgun metagenomics, we investigated the impact of diet on the composition and functionality of the Nelore microbiome, and explored the associations between specific microbial taxa and their functionality with feed efficiency and methane emission. Results The ruminal microbiome exhibited significantly higher microbial diversity, distinctive taxonomic profile and variations in microbial functionality compared to the fecal microbiome, highlighting the distinct contributions of the microbiomes of these environments. Animals subjected to different dietary treatments exhibited significant differences in their microbiomes' archaeal diversity and in the abundance of 89 genera, as well as in the functions associated with the metabolism of components of each diet. Moreover, depending on the diet, feed-efficient animals and low methane emitters displayed higher microbial diversity in their fecal microbiome. Multiple genera were associated with an increase or decrease of the phenotypes. Upon analyzing the functions attributed to these taxa, we observed significant differences on the ruminal taxa associated with feed efficient and inefficient cattle. The ruminal taxa that characterized feed efficient cattle stood out for having significantly more functions related to carbohydrate metabolism, such as monosaccharides, di-/oligosaccharides and amino acids. The taxa associated with methane emission had functions associated with methanogenesis and the production of substrates that may influence methane production, such as hydrogen and formate. Conclusion Our findings highlight the significant role of diet in shaping Nelore microbiomes and how its composition and functionality may affect production traits such as feed efficiency and methane emission. These insights provide valuable support for the implementation of novel feeding and biotechnological strategies.
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Affiliation(s)
| | - Juliana Virginio da Silva
- Embrapa Southeast Livestock, São Carlos, Brazil
- Department of Genetics and Evolution, Federal University of São Carlos (UFSCar), São Carlos, Brazil
| | | | | | - Jennifer Jessica Bruscadin
- Embrapa Southeast Livestock, São Carlos, Brazil
- Department of Genetics and Evolution, Federal University of São Carlos (UFSCar), São Carlos, Brazil
| | - Priscila Silva Neubern de Oliveira
- Embrapa Southeast Livestock, São Carlos, Brazil
- Department of Genetics and Evolution, Federal University of São Carlos (UFSCar), São Carlos, Brazil
| | - Gerson Barreto Mourão
- Department of Animal Science, Center for Functional Genomics, University of São Paulo/ESALQ, Piracicaba, Brazil
| | - Luiz Lehmann Coutinho
- Department of Animal Science, Center for Functional Genomics, University of São Paulo/ESALQ, Piracicaba, Brazil
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Malheiros JM, Correia BSB, Ceribeli C, Bruscadin JJ, Diniz WJS, Banerjee P, da Silva Vieira D, Cardoso TF, Andrade BGN, Petrini J, Cardoso DR, Colnago LA, Bogusz Junior S, Mourão GB, Coutinho LL, Palhares JCP, de Medeiros SR, Berndt A, de Almeida Regitano LC. Ruminal and feces metabolites associated with feed efficiency, water intake and methane emission in Nelore bulls. Sci Rep 2023; 13:18001. [PMID: 37865691 PMCID: PMC10590413 DOI: 10.1038/s41598-023-45330-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 10/18/2023] [Indexed: 10/23/2023] Open
Abstract
The objectives of this study were twofold: (1) to identify potential differences in the ruminal and fecal metabolite profiles of Nelore bulls under different nutritional interventions; and (2) to identify metabolites associated with cattle sustainability related-traits. We used different nutritional interventions in the feedlot: conventional (Conv; n = 26), and by-product (ByPr, n = 26). Thirty-eight ruminal fluid and 27 fecal metabolites were significantly different (P < 0.05) between the ByPr and Conv groups. Individual dry matter intake (DMI), residual feed intake (RFI), observed water intake (OWI), predicted water intake (WI), and residual water intake (RWI) phenotypes were lower (P < 0.05) in the Conv group, while the ByPr group exhibited lower methane emission (ME) (P < 0.05). Ruminal fluid dimethylamine was significantly associated (P < 0.05) with DMI, RFI, FE (feed efficiency), OWI and WI. Aspartate was associated (P < 0.05) with DMI, RFI, FE and WI. Fecal C22:1n9 was significantly associated with OWI and RWI (P < 0.05). Fatty acid C14:0 and hypoxanthine were significantly associated with DMI and RFI (P < 0.05). The results demonstrated that different nutritional interventions alter ruminal and fecal metabolites and provided new insights into the relationship of these metabolites with feed efficiency and water intake traits in Nelore bulls.
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Affiliation(s)
| | | | - Caroline Ceribeli
- Institute of Chemistry, University of São Paulo/USP, São Carlos, São Paulo, Brazil
- Department of Food Science, University of Copenhagen, Copenhagen, Denmark
| | | | - Wellison J S Diniz
- Departament of Animal Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Priyanka Banerjee
- Departament of Animal Sciences, Auburn University, Auburn, AL, 36849, USA
| | | | | | - Bruno Gabriel Nascimento Andrade
- Embrapa Southeast Livestock, São Carlos, São Paulo, Brazil
- Computer Science Department, Munster Technological University, MTU/ADAPT, Cork, Ireland
| | - Juliana Petrini
- Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, São Paulo, Brazil
| | | | | | | | - Gerson Barreto Mourão
- Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, São Paulo, Brazil
| | - Luiz Lehmann Coutinho
- Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, São Paulo, Brazil
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Bogdanski FA, Silveira RMF, Rovadoscki GA, Franzo V, Gervásio IC, Escobar DYO, Dauria BD, Meira AN, Mourão LMB, Coutinho LL, Pizzolante CC, de Moraes JE, Mourão GB. Genetic parameters for production, quality, and colors from eggs in Brazilian lineages of chickens. Trop Anim Health Prod 2023; 55:148. [PMID: 37020063 DOI: 10.1007/s11250-023-03554-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 03/29/2023] [Indexed: 04/07/2023]
Abstract
Genetic parameters were estimated for egg production, egg quality, and eggshell colors in eight lineages of Brazilian laying hens. Age at first egg (AFE), total egg production up to the 45th week (PROD), egg weight (EW), albumen height (AH), yolk color (YC), the Haugh units (HU), eggshell strength (ESS), eggshell thickness (EST), yolk weight (YW), eggshell weight (ESW), and eggshell color (L*, a*, and b*) were measured in 2030 eggs obtained from 645 laying hens. Variance components were estimated from a mixed animal model, which included the fixed effects of contemporary groups, cage location, and hen line, and the additive genetic, permanent environmental, and residual as random effects. In general, heritabilities were low to moderate (h2 = 0.11 to 0.48). Genetic correlations among eggshell quality traits were moderate to high (0.36 and 0.69). High genetic correlations were obtained between the eggshell color traits [rg = -0.90 (L* and a*); rg = -0.64 (L* and b*); and rg = 0.65 (a* and b*)]. Results suggest that EW is strongly correlated with ESW, but the genetic correlations between EW and ESS and between EW and EST were low. Genetic correlations between L* and eggshell quality traits were low to moderate, suggesting that L* has little or no relation with external egg quality. However, genetic correlations between a* and b* values and eggshell quality traits were high. The genetic correlations between eggshell color and eggshell quality traits were low, suggesting that the eggshell color does not influence external egg quality. Genetic correlations between PROD and egg quality traits were negative and varied between -0.42 and -0.05. This antagonistic relationship emphasizes the importance of adopting breeding schemes that allow the simultaneous genetic progress of these traits by considering their genetic correlation and economic relevance, such as the selection index.
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Affiliation(s)
- Fátima Auler Bogdanski
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | | | - Gregori Alberto Rovadoscki
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Vamilton Franzo
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Izally Carvalho Gervásio
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Daysi Ylder Orzuza Escobar
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Brayan Dias Dauria
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Ariana Nascimento Meira
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | | | - Luiz Lehmann Coutinho
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | | | - José Evandro de Moraes
- Research Center of Diversified Animal Science, Instituto de Zootecnia, Nova Odessa, Brazil
| | - Gerson Barreto Mourão
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil.
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8
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Buss CE, Afonso J, de Oliveira PSN, Petrini J, Tizioto PC, Cesar ASM, Gustani-Buss EC, Cardoso TF, Rovadoski GA, da Silva Diniz WJ, de Lima AO, Rocha MIP, Andrade BGN, Wolf JB, Coutinho LL, Mourão GB, de Almeida Regitano LC. Bivariate GWAS reveals pleiotropic regions among feed efficiency and beef quality-related traits in Nelore cattle. Mamm Genome 2023; 34:90-103. [PMID: 36463529 DOI: 10.1007/s00335-022-09969-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 11/16/2022] [Indexed: 12/07/2022]
Abstract
Feed-efficient cattle selection is among the most leading solutions to reduce cost for beef cattle production. However, technical difficulties in measuring feed efficiency traits had limited the application in livestock. Here, we performed a Bivariate Genome-Wide Association Study (Bi-GWAS) and presented candidate biological mechanisms underlying the association between feed efficiency and meat quality traits in a half-sibling design with 353 Nelore steers derived from 34 unrelated sires. A total of 13 Quantitative Trait Loci (QTL) were found explaining part of the phenotypic variations. An important transcription factor of adipogenesis in cattle, the TAL1 (rs133408775) gene located on BTA3 was associated with intramuscular fat and average daily gain (IMF-ADG), and a region located on BTA20, close to CD180 and MAST4 genes, both related to fat accumulation. We observed a low positive genetic correlation between IMF-ADG (r = 0.30 ± 0.0686), indicating that it may respond to selection in the same direction. Our findings contributed to clarifying the pleiotropic modulation of the complex traits, indicating new QTLs for bovine genetic improvement.
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Affiliation(s)
- Carlos Eduardo Buss
- Department of Genetic and Evolution, Federal University of São Carlos, São Carlos, São Paulo, Brazil
- Mindflow Genomics, Leuven, Flanders, Belgium
| | - Juliana Afonso
- Embrapa Southeast Cattle, Fazenda Canchim, Rodovia Washington Luiz, Km 234, S/N, São Carlos, São Paulo, Brazil
| | - Priscila S N de Oliveira
- Department of Genetic and Evolution, Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | - Juliana Petrini
- Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, São Paulo, Brazil
| | | | - Aline S M Cesar
- Department of Agroindustry, Food and Nutrition, University of São Paulo/ESALQ, Piracicaba, São Paulo, Brazil
| | - Emanuele Cristina Gustani-Buss
- Mindflow Genomics, Leuven, Flanders, Belgium
- Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000, Leuven, Belgium
| | - Tainã Figueiredo Cardoso
- Embrapa Southeast Cattle, Fazenda Canchim, Rodovia Washington Luiz, Km 234, S/N, São Carlos, São Paulo, Brazil
| | - Gregori A Rovadoski
- Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, São Paulo, Brazil
| | | | - Andressa Oliveira de Lima
- Division of Medical Genetics, Department of Genomics Science, University of Washington, Seattle, WA, USA
| | | | - Bruno Gabriel Nascimento Andrade
- Embrapa Southeast Cattle, Fazenda Canchim, Rodovia Washington Luiz, Km 234, S/N, São Carlos, São Paulo, Brazil
- Department of Computer Science, Munster Technological University/MTU, Cork, Ireland
| | - Jason B Wolf
- Department of Biology & Biochemistry, Milner Centre for Evolution Bath, University of Bath, Bath, BA2 7AY, UK
| | - Luiz Lehmann Coutinho
- Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, São Paulo, Brazil
| | - Gerson Barreto Mourão
- Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, São Paulo, Brazil
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9
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da Silva BPM, Fanalli SL, Gomes JD, de Almeida VV, Fukumasu H, Freitas FAO, Moreira GCM, Silva-Vignato B, Reecy JM, Koltes JE, Koltes D, de Carvalho Balieiro JC, de Alencar SM, da Silva JPM, Coutinho LL, Afonso J, Regitano LCDA, Mourão GB, Luchiari Filho A, Cesar ASM. Brain fatty acid and transcriptome profiles of pig fed diets with different levels of soybean oil. BMC Genomics 2023; 24:91. [PMID: 36855067 PMCID: PMC9976441 DOI: 10.1186/s12864-023-09188-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 02/15/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND The high similarity in anatomical and neurophysiological processes between pigs and humans make pigs an excellent model for metabolic diseases and neurological disorders. Lipids are essential for brain structure and function, and the polyunsaturated fatty acids (PUFA) have anti-inflammatory and positive effects against cognitive dysfunction in neurodegenerative diseases. Nutrigenomics studies involving pigs and fatty acids (FA) may help us in better understanding important biological processes. In this study, the main goal was to evaluate the effect of different levels of dietary soybean oil on the lipid profile and transcriptome in pigs' brain tissue. RESULTS Thirty-six male Large White pigs were used in a 98-day study using two experimental diets corn-soybean meal diet containing 1.5% soybean oil (SOY1.5) and corn-soybean meal diet containing 3.0% soybean oil (SOY3.0). No differences were found for the brain total lipid content and FA profile between the different levels of soybean oil. For differential expression analysis, using the DESeq2 statistical package, a total of 34 differentially expressed genes (DEG, FDR-corrected p-value < 0.05) were identified. Of these 34 DEG, 25 are known-genes, of which 11 were up-regulated (log2 fold change ranging from + 0.25 to + 2.93) and 14 were down-regulated (log2 fold change ranging from - 3.43 to -0.36) for the SOY1.5 group compared to SOY3.0. For the functional enrichment analysis performed using MetaCore with the 34 DEG, four pathway maps were identified (p-value < 0.05), related to the ALOX15B (log2 fold change - 1.489), CALB1 (log2 fold change - 3.431) and CAST (log2 fold change + 0.421) genes. A "calcium transport" network (p-value = 2.303e-2), related to the CAST and CALB1 genes, was also identified. CONCLUSION The results found in this study contribute to understanding the pathways and networks associated with processes involved in intracellular calcium, lipid metabolism, and oxidative processes in the brain tissue. Moreover, these results may help a better comprehension of the modulating effects of soybean oil and its FA composition on processes and diseases affecting the brain tissue.
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Affiliation(s)
- Bruna Pereira Martins da Silva
- grid.11899.380000 0004 1937 0722Faculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Simara Larissa Fanalli
- grid.11899.380000 0004 1937 0722Faculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Julia Dezen Gomes
- grid.11899.380000 0004 1937 0722Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Vivian Vezzoni de Almeida
- grid.411195.90000 0001 2192 5801College of Veterinary Medicine and Animal Science, Federal University of Goiás, Goiânia, Goiás Brazil
| | - Heidge Fukumasu
- grid.11899.380000 0004 1937 0722Faculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Felipe André Oliveira Freitas
- grid.11899.380000 0004 1937 0722Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | | | - Bárbara Silva-Vignato
- grid.11899.380000 0004 1937 0722Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - James Mark Reecy
- grid.34421.300000 0004 1936 7312College of Agriculture and Life Sciences, Iowa State University, Ames, IA USA
| | - James Eugene Koltes
- grid.34421.300000 0004 1936 7312College of Agriculture and Life Sciences, Iowa State University, Ames, IA USA
| | - Dawn Koltes
- grid.34421.300000 0004 1936 7312College of Agriculture and Life Sciences, Iowa State University, Ames, IA USA
| | - Júlio Cesar de Carvalho Balieiro
- grid.11899.380000 0004 1937 0722School of Veterinary Medicine and Animal Science, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Severino Matias de Alencar
- grid.11899.380000 0004 1937 0722Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Julia Pereira Martins da Silva
- grid.11899.380000 0004 1937 0722Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Luiz Lehmann Coutinho
- grid.11899.380000 0004 1937 0722Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Juliana Afonso
- grid.460200.00000 0004 0541 873XEmbrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil
| | | | - Gerson Barreto Mourão
- grid.11899.380000 0004 1937 0722Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Albino Luchiari Filho
- grid.11899.380000 0004 1937 0722Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Aline Silva Mello Cesar
- Faculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil. .,Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.
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10
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Fanalli SL, da Silva BPM, Gomes JD, Durval MC, de Almeida VV, Moreira GCM, Silva-Vignato B, Afonso J, Freitas FAO, Reecy JM, Koltes JE, Koltes D, Garrick D, Correia de Almeida Regitano L, Balieiro JCDC, Mourão GB, Coutinho LL, Fukumasu H, de Alencar SM, Luchiari Filho A, Cesar ASM. RNA-seq transcriptome profiling of pigs' liver in response to diet with different sources of fatty acids. Front Genet 2023; 14:1053021. [PMID: 36816031 PMCID: PMC9936315 DOI: 10.3389/fgene.2023.1053021] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 01/09/2023] [Indexed: 01/26/2023] Open
Abstract
Pigs (Sus scrofa) are an animal model for metabolic diseases in humans. Pork is an important source of fatty acids (FAs) in the human diet, as it is one of the most consumed meats worldwide. The effects of dietary inclusion of oils such as canola, fish, and soybean oils on pig gene expression are mostly unknown. Our objective was to evaluate FA composition, identify changes in gene expression in the liver of male pigs fed diets enriched with different FA profiles, and identify impacted metabolic pathways and gene networks to enlighten the biological mechanisms' variation. Large White male pigs were randomly allocated to one of three diets with 18 pigs in each; all diets comprised a base of corn and soybean meal to which either 3% of soybean oil (SOY), 3% canola oil (CO), or 3% fish oil (FO) was added for a 98-day trial during the growing and finishing phases. RNA sequencing was performed on the liver samples of each animal by Illumina technology for differential gene expression analyses, using the R package DESeq2. The diets modified the FA profile, mainly in relation to polyunsaturated and saturated FAs. Comparing SOY vs. FO, 143 differentially expressed genes (DEGs) were identified as being associated with metabolism, metabolic and neurodegenerative disease pathways, inflammatory processes, and immune response networks. Comparing CO vs. SOY, 148 DEGs were identified, with pathways related to FA oxidation, regulation of lipid metabolism, and metabolic and neurodegenerative diseases. Our results help explain the behavior of genes with differential expression in metabolic pathways resulting from feeding different types of oils in pig diets.
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Affiliation(s)
- Simara Larissa Fanalli
- Faculty of Animal Science and Food Engineering, (FZEA), University of São Paulo, São Paulo, Brazil
| | | | - Julia Dezen Gomes
- Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, Brazil
| | - Mariah Castro Durval
- Faculty of Animal Science and Food Engineering, (FZEA), University of São Paulo, São Paulo, Brazil
| | | | | | - Bárbara Silva-Vignato
- Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, Brazil
| | | | - Felipe André Oliveira Freitas
- Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, Brazil
| | - James Mark Reecy
- Animal Science Department, Iowa State University, Ames, IA, United States
| | | | - Dawn Koltes
- Animal Science Department, Iowa State University, Ames, IA, United States
| | - Dorian Garrick
- AL Rae Centre for Genetics and Breeding, Massey University, Hamilton, New Zealand
| | | | | | - Gerson Barreto Mourão
- Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, Brazil
| | - Luiz Lehmann Coutinho
- Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, Brazil
| | - Heidge Fukumasu
- Faculty of Animal Science and Food Engineering, (FZEA), University of São Paulo, São Paulo, Brazil
| | - Severino Matias de Alencar
- Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, Brazil
| | - Albino Luchiari Filho
- Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, Brazil
| | - Aline Silva Mello Cesar
- Faculty of Animal Science and Food Engineering, (FZEA), University of São Paulo, São Paulo, Brazil,Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, Brazil,*Correspondence: Aline Silva Mello Cesar,
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11
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Assato PA, Clemente LG, Giovanetti M, Ribeiro G, Lima ARJ, Palmieri M, de Moraes LN, Kashima S, Fukumasu H, Nogueira ML, Alcantara LCJ, Nicolodelli AL, Martins AJ, Petry B, Banho CA, Dos Santos Barros CR, Moncau-Gadbem CT, Moretti DB, De La Roque DGL, Marqueze EC, Mattos EC, Silva FEVD, Da Costa FADS, Cacherik G, De Souza Todao Bernardino J, Lesbon JCC, Sacchetto L, De Lima LPO, Caldeira LAV, Martininghi M, Moraes MM, Poleti MD, Cattony Neto PDQ, Cassano RDLRC, Brassaloti RA, Slavov SN, Viala VL, Coutinho LL, Grotto RMT, Neto RM, Covas DT, Sampaio SC, Elias MC, Souza-Neto JA. Retrospective Insights of the COVID-19 Epidemic in the Major Latin American City, São Paulo, Southeastern Brazil. Viruses 2023; 15:327. [PMID: 36851541 PMCID: PMC9965911 DOI: 10.3390/v15020327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 01/11/2023] [Accepted: 01/12/2023] [Indexed: 01/26/2023] Open
Abstract
São Paulo is the financial center of Brazil, with a population of over 12 million, that receives travelers from all over the world for business and tourism. It was the first city in Brazil to report a case of COVID-19 that rapidly spread across the city despite the implementation of the restriction measures. Despite many reports, much is still unknown regarding the genomic diversity and transmission dynamics of this virus in the city of São Paulo. Thus, in this study, we provide a retrospective overview of the COVID-19 epidemic in São Paulo City, Southeastern, Brazil, by generating a total of 9995 near-complete genome sequences from all the city's different macro-regions (North, West, Central, East, South, and Southeast). Our analysis revealed that multiple independent introduction events of different variants (mainly Gamma, Delta, and Omicron) occurred throughout time. Additionally, our estimates of viral movement within the different macro-regions further suggested that the East and the Southeast regions were the largest contributors to the Gamma and Delta viral exchanges to other regions. Meanwhile, the North region had a higher contribution to the dispersion of the Omicron variant. Together, our results reinforce the importance of increasing SARS-CoV-2 genomic monitoring within the city and the country to track the real-time evolution of the virus and to detect earlier any eventual emergency of new variants of concern that could undermine the fight against COVID-19 in Brazil and worldwide.
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Affiliation(s)
- Patricia Akemi Assato
- School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18610-034, Brazil
| | - Luan Gaspar Clemente
- Centro de Genômica Funcional da ESALQ, University of São Paulo, Piracicaba 13418-900, Brazil
| | - Marta Giovanetti
- Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro 21040-360, Brazil
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil
- Department of Science and Technology for Humans and the Environment, University of Campus Bio-Medico di Roma, 00128 Rome, Italy
| | | | | | - Melissa Palmieri
- Health Surveillance Coordination, Sao Paulo Municipal Health Department—Coordenadoria de Vigilância em Saúde—Secretaria Municipal de São Paulo, Sao Paulo 05579-000, Brazil
| | | | - Simone Kashima
- Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14051-140, Brazil
| | - Heidge Fukumasu
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga 13635-900, Brazil
| | | | - Luiz Carlos Junior Alcantara
- Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro 21040-360, Brazil
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil
| | - Aline Lais Nicolodelli
- Primary Care Coordination/Sao Paulo Municipal Health Department—Coordenadoria de Atenção Básica—Secretaria Municipal de São Paulo, Sao Paulo 05579-000, Brazil
| | | | - Bruna Petry
- Centro de Genômica Funcional da ESALQ, University of São Paulo, Piracicaba 13418-900, Brazil
| | - Cecilia Artico Banho
- Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, Brazil
| | | | | | | | - Debora Glenda Lima De La Roque
- Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14051-140, Brazil
| | | | - Elisangela Chicaroni Mattos
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga 13635-900, Brazil
| | - Fabiana Erica Vilanova Da Silva
- Primary Care Coordination/Sao Paulo Municipal Health Department—Coordenadoria de Atenção Básica—Secretaria Municipal de São Paulo, Sao Paulo 05579-000, Brazil
| | | | - Giselle Cacherik
- Primary Care Coordination/Sao Paulo Municipal Health Department—Coordenadoria de Atenção Básica—Secretaria Municipal de São Paulo, Sao Paulo 05579-000, Brazil
| | | | - Jessika Cristina Chagas Lesbon
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga 13635-900, Brazil
| | - Lívia Sacchetto
- Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, Brazil
| | | | - Luiz Artur Vieira Caldeira
- Health Surveillance Coordination, Sao Paulo Municipal Health Department—Coordenadoria de Vigilância em Saúde—Secretaria Municipal de São Paulo, Sao Paulo 05579-000, Brazil
| | - Maiara Martininghi
- Health Surveillance Coordination, Sao Paulo Municipal Health Department—Coordenadoria de Vigilância em Saúde—Secretaria Municipal de São Paulo, Sao Paulo 05579-000, Brazil
| | - Marília Mazzi Moraes
- Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, Brazil
| | - Mirele Daiana Poleti
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga 13635-900, Brazil
| | | | | | | | - Svetoslav Nanev Slavov
- Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14051-140, Brazil
| | | | - Luiz Lehmann Coutinho
- Centro de Genômica Funcional da ESALQ, University of São Paulo, Piracicaba 13418-900, Brazil
| | - Rejane Maria Tommasini Grotto
- School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18610-034, Brazil
- Genomic Surveillance Network, São Paulo State University (UNESP), Sao Paulo 01049-010, Brazil
| | | | - Dimas Tadeu Covas
- Butantan Institute, Sao Paulo 05508-040, Brazil
- Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14051-140, Brazil
| | | | | | - Jayme A. Souza-Neto
- School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18610-034, Brazil
- Genomic Surveillance Network, São Paulo State University (UNESP), Sao Paulo 01049-010, Brazil
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12
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Afonso J, Shim WJ, Boden M, Salinas Fortes MR, da Silva Diniz WJ, de Lima AO, Rocha MIP, Cardoso TF, Bruscadin JJ, Gromboni CF, Nogueira ARA, Mourão GB, Zerlotini A, Coutinho LL, de Almeida Regitano LC. Repressive epigenetic mechanisms, such as the H3K27me3 histone modification, were predicted to affect muscle gene expression and its mineral content in Nelore cattle. Biochem Biophys Rep 2023; 33:101420. [PMID: 36654922 PMCID: PMC9841166 DOI: 10.1016/j.bbrep.2023.101420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/12/2022] [Accepted: 01/02/2023] [Indexed: 01/07/2023] Open
Abstract
Epigenetic repression has been linked to the regulation of different cell states. In this study, we focus on the influence of this repression, mainly by H3K27me3, over gene expression in muscle cells, which may affect mineral content, a phenotype that is relevant to muscle function and beef quality. Based on the inverse relationship between H3K27me3 and gene expression (i.e., epigenetic repression) and on contrasting sample groups, we computationally predicted regulatory genes that affect muscle mineral content. To this end, we applied the TRIAGE predictive method followed by a rank product analysis. This methodology can predict regulatory genes that might be affected by repressive epigenetic regulation related to mineral concentration. Annotation of orthologous genes, between human and bovine, enabled our investigation of gene expression in the Longissimus thoracis muscle of Bos indicus cattle. The animals under study had a contrasting mineral content in their muscle cells. We identified candidate regulatory genes influenced by repressive epigenetic mechanisms, linking histone modification to mineral content in beef samples. The discovered candidate genes take part in multiple biological pathways, i.e., impulse transmission, cell signalling, immunological, and developmental pathways. Some of these genes were previously associated with mineral content or regulatory mechanisms. Our findings indicate that epigenetic repression can partially explain the gene expression profiles observed in muscle samples with contrasting mineral content through the candidate regulators here identified.
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Affiliation(s)
| | - Woo Jun Shim
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia,Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Mikael Boden
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia
| | | | | | - Andressa Oliveira de Lima
- Division of Medical Genetics, Department of Genome Sciences, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Marina Ibelli Pereira Rocha
- Post-graduation Program of Evolutionary Genetics and Molecular Biology, Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | | | - Jennifer Jessica Bruscadin
- Post-graduation Program of Evolutionary Genetics and Molecular Biology, Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | | | | | - Gerson Barreto Mourão
- Department of Agroindustry, Food and Nutrition, University of São Paulo/ESALQ, Piracicaba, Brazil
| | - Adhemar Zerlotini
- Bioinformatic Multi-user Laboratory, Embrapa Informática Agropecuária, Campinas, São Paulo, Brazil
| | - Luiz Lehmann Coutinho
- Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, São Paulo, Brazil
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13
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Elias MC, Slavov SN, Lima ARJ, Martins AJ, Barros CRDS, Moretti DB, Araujo EL, Marqueze EC, Ribeiro G, Ribeiro GMF, Bernardino JST, Koser JR, Clemente LG, Crispin LAC, Alcantara LCJ, Coutinho LL, Giovanetti M, Silva QO, Neto RM, Haddad R, Kashima S, Viala VL, Covas DT, Sampaio SC. A traveling SARS-CoV-2 laboratory as part of a pandemic response among vulnerable Brazilian populations. BMC Public Health 2023; 23:15. [PMID: 36597102 PMCID: PMC9810251 DOI: 10.1186/s12889-022-14867-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 12/13/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Brazil has been dramatically hit by the SARS-CoV-2 pandemic and is a world leader in COVID-19 morbidity and mortality. Additionally, the largest country of Latin America has been a continuous source of SARS-CoV-2 variants and shows extraordinary variability of the pandemic strains probably related to the country´s outstanding position as a Latin American economical and transportation hub. Not all regions of the country show sufficient infrastructure for SARS-CoV-2 diagnosis and genotyping which can negatively impact the pandemic response. METHODS Due to this reason and to disburden the diagnostic system of the inner São Paulo State, the Butantan Institute established the Mobile Laboratory (in Portuguese: LabMovel) for SARS-CoV-2 testing which started a trip of the most important "hotspots" of the most populous Brazilian region. The LabMovel initiated in two important cities of the State: Aparecida do Norte (an important religious center) and the Baixada Santista region which incorporates the port of Santos, the busiest in Latin America. The LabMovel was fully equipped with an automatized system for SARS-CoV-2 diagnosis and sequencing/genotyping. It also integrated the laboratory systems for patient records and results divulgation including in the Federal Brazilian Healthcare System. RESULTS Currently,16,678 samples were tested, among them 1,217 from Aparecida and 4,564 from Baixada Santista. We tracked the delta introductio in the tested regions with its high diversification. The established mobile SARS-CoV-2 laboratory had a major impact on the Public Health System of the included cities including timely delivery of the results to the healthcare agents and the Federal Healthcare system, evaluation of the vaccination status of the positive individuals in the background of exponential vaccination process in Brazil and scientific and technological divulgation of the fieldwork to the most vulnerable populations. CONCLUSIONS The SARS-CoV-2 pandemic has demonstrated worldwide the importance of science to fight against this viral agent and the LabMovel shows that it is possible to integrate researchers, clinicians, healthcare workers and patients to take rapid actions that can in fact mitigate this and other epidemiological situations.
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Affiliation(s)
- Maria Carolina Elias
- Instituto Butantan, São Paulo, Brazil. .,Center of Toxins, Immune Response and Cell Signaling - CeTICSInstituto Butantan, São Paulo, 05503-900, Brazil.
| | - Svetoslav Nanev Slavov
- grid.11899.380000 0004 1937 0722University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, Brazil
| | | | | | | | | | | | | | - Gabriela Ribeiro
- grid.418514.d0000 0001 1702 8585Instituto Butantan, São Paulo, Brazil
| | | | | | | | | | | | - Luiz Carlos Junior Alcantara
- grid.418068.30000 0001 0723 0931Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Minas Gerais Brazil
| | | | - Marta Giovanetti
- grid.418068.30000 0001 0723 0931Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Minas Gerais Brazil
| | | | - Raul Machado Neto
- grid.418514.d0000 0001 1702 8585Instituto Butantan, São Paulo, Brazil
| | - Ricardo Haddad
- grid.418514.d0000 0001 1702 8585Instituto Butantan, São Paulo, Brazil
| | - Simone Kashima
- grid.11899.380000 0004 1937 0722University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, Brazil
| | | | - Dimas Tadeu Covas
- grid.418514.d0000 0001 1702 8585Instituto Butantan, São Paulo, Brazil ,grid.11899.380000 0004 1937 0722University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, Brazil
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Bruscadin JJ, Cardoso TF, da Silva Diniz WJ, de Souza MM, Afonso J, Vieira D, Malheiros J, Andrade BGN, Petrini J, Ferraz JBS, Zerlotini A, Mourão GB, Coutinho LL, de Almeida Regitano LC. Differential Allele-Specific Expression Revealed Functional Variants and Candidate Genes Related to Meat Quality Traits in B. indicus Muscle. Genes (Basel) 2022; 13:genes13122336. [PMID: 36553605 PMCID: PMC9777870 DOI: 10.3390/genes13122336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 12/03/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022] Open
Abstract
Traditional transcriptomics approaches have been used to identify candidate genes affecting economically important livestock traits. Regulatory variants affecting these traits, however, remain under covered. Genomic regions showing allele-specific expression (ASE) are under the effect of cis-regulatory variants, being useful for improving the accuracy of genomic selection models. Taking advantage of the better of these two methods, we investigated single nucleotide polymorphisms (SNPs) in regions showing differential ASE (DASE SNPs) between contrasting groups for beef quality traits. For these analyses, we used RNA sequencing data, imputed genotypes and genomic estimated breeding values of muscle-related traits from 190 Nelore (Bos indicus) steers. We selected 40 contrasting unrelated samples for the analysis (N = 20 animals per contrasting group) and used a beta-binomial model to identify ASE SNPs in only one group (i.e., DASE SNPs). We found 1479 DASE SNPs (FDR ≤ 0.05) associated with 55 beef-quality traits. Most DASE genes were involved with tenderness and muscle homeostasis, presenting a co-expression module enriched for the protein ubiquitination process. The results overlapped with epigenetics and phenotype-associated data, suggesting that DASE SNPs are potentially linked to cis-regulatory variants affecting simultaneously the transcription and phenotype through chromatin state modulation.
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Affiliation(s)
- Jennifer Jessica Bruscadin
- Center of Biological Sciences and Health, Federal University of São Carlos, São Carlos 13560-000, SP, Brazil
- Embrapa Pecuária Sudeste, São Carlos 13560-000, SP, Brazil
| | | | | | | | - Juliana Afonso
- Embrapa Pecuária Sudeste, São Carlos 13560-000, SP, Brazil
| | - Dielson Vieira
- Embrapa Pecuária Sudeste, São Carlos 13560-000, SP, Brazil
- Department of Internal Medicine, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Jessica Malheiros
- Federal University of Latin American Integration-UNILA, Foz do Iguaçu 85851-000, PR, Brazil
| | | | - Juliana Petrini
- Center for Functional Genomics, Department of Animal Science, 13400-000, University of São Paulo (ESALQ—USP), Piracicaba 13400-000, SP, Brazil
| | - José Bento Sterman Ferraz
- Department of Veterinary Medicine, University of São Paulo (FMVZ—USP), Pirassununga 13630-000, SP, Brazil
| | | | - Gerson Barreto Mourão
- Center for Functional Genomics, Department of Animal Science, 13400-000, University of São Paulo (ESALQ—USP), Piracicaba 13400-000, SP, Brazil
| | - Luiz Lehmann Coutinho
- Center for Functional Genomics, Department of Animal Science, 13400-000, University of São Paulo (ESALQ—USP), Piracicaba 13400-000, SP, Brazil
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Salvian M, Moreira GCM, Silveira RMF, Reis ÂP, Dias D'auria B, Pilonetto F, Gervásio IC, Ledur MC, Coutinho LL, Spangler ML, Mourão GB. Estimation of breeding values using different densities of SNP to inform kinship in broiler chickens. Livest Sci 2022. [DOI: 10.1016/j.livsci.2022.105124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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16
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Bruscadin JJ, Cardoso TF, da Silva Diniz WJ, Afonso J, de Souza MM, Petrini J, Nascimento Andrade BG, da Silva VH, Ferraz JBS, Zerlotini A, Mourão GB, Coutinho LL, de Almeida Regitano LC. Allele-specific expression reveals functional SNPs affecting muscle-related genes in bovine. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms 2022; 1865:194886. [DOI: 10.1016/j.bbagrm.2022.194886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 09/27/2022] [Accepted: 10/12/2022] [Indexed: 11/09/2022]
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de Novais FJ, Yu H, Cesar ASM, Momen M, Poleti MD, Petry B, Mourão GB, Regitano LCDA, Morota G, Coutinho LL. Multi-omic data integration for the study of production, carcass, and meat quality traits in Nellore cattle. Front Genet 2022; 13:948240. [PMID: 36338989 PMCID: PMC9634488 DOI: 10.3389/fgene.2022.948240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 10/06/2022] [Indexed: 11/18/2022] Open
Abstract
Data integration using hierarchical analysis based on the central dogma or common pathway enrichment analysis may not reveal non-obvious relationships among omic data. Here, we applied factor analysis (FA) and Bayesian network (BN) modeling to integrate different omic data and complex traits by latent variables (production, carcass, and meat quality traits). A total of 14 latent variables were identified: five for phenotype, three for miRNA, four for protein, and two for mRNA data. Pearson correlation coefficients showed negative correlations between latent variables miRNA 1 (mirna1) and miRNA 2 (mirna2) (−0.47), ribeye area (REA) and protein 4 (prot4) (−0.33), REA and protein 2 (prot2) (−0.3), carcass and prot4 (−0.31), carcass and prot2 (−0.28), and backfat thickness (BFT) and miRNA 3 (mirna3) (−0.25). Positive correlations were observed among the four protein factors (0.45–0.83): between meat quality and fat content (0.71), fat content and carcass (0.74), fat content and REA (0.76), and REA and carcass (0.99). BN presented arcs from the carcass, meat quality, prot2, and prot4 latent variables to REA; from meat quality, REA, mirna2, and gene expression mRNA1 to fat content; from protein 1 (prot1) and mirna2 to protein 5 (prot5); and from prot5 and carcass to prot2. The relations of protein latent variables suggest new hypotheses about the impact of these proteins on REA. The network also showed relationships among miRNAs and nebulin proteins. REA seems to be the central node in the network, influencing carcass, prot2, prot4, mRNA1, and meat quality, suggesting that REA is a good indicator of meat quality. The connection among miRNA latent variables, BFT, and fat content relates to the influence of miRNAs on lipid metabolism. The relationship between mirna1 and prot5 composed of isoforms of nebulin needs further investigation. The FA identified latent variables, decreasing the dimensionality and complexity of the data. The BN was capable of generating interrelationships among latent variables from different types of data, allowing the integration of omics and complex traits and identifying conditional independencies. Our framework based on FA and BN is capable of generating new hypotheses for molecular research, by integrating different types of data and exploring non-obvious relationships.
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Affiliation(s)
- Francisco José de Novais
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Haipeng Yu
- Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
| | - Aline Silva Mello Cesar
- Department of Agri-Food Industry, Food and Nutrition, University of São Paulo, Piracicaba, Brazil
| | - Mehdi Momen
- Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
| | - Mirele Daiana Poleti
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Brazil
| | - Bruna Petry
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Gerson Barreto Mourão
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | | | - Gota Morota
- Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
- *Correspondence: Gota Morota, ; Luiz Lehmann Coutinho,
| | - Luiz Lehmann Coutinho
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
- *Correspondence: Gota Morota, ; Luiz Lehmann Coutinho,
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de Souza TC, de Souza TC, da Cruz VAR, Mourão GB, Pedrosa VB, Rovadoscki GA, Coutinho LL, de Camargo GMF, Costa RB, de Carvalho GGP, Pinto LFB. Estimates of heritability and candidate genes for primal cuts and dressing percentage in Santa Ines sheep. Livest Sci 2022. [DOI: 10.1016/j.livsci.2022.105048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Giovanetti M, Slavov SN, Fonseca V, Wilkinson E, Tegally H, Patané JSL, Viala VL, San EJ, Rodrigues ES, Santos EV, Aburjaile F, Xavier J, Fritsch H, Adelino TER, Pereira F, Leal A, Iani FCDM, de Carvalho Pereira G, Vazquez C, Sanabria GME, Oliveira ECD, Demarchi L, Croda J, Dos Santos Bezerra R, Paola Oliveira de Lima L, Martins AJ, Renata Dos Santos Barros C, Marqueze EC, de Souza Todao Bernardino J, Moretti DB, Brassaloti RA, de Lello Rocha Campos Cassano R, Mariani PDSC, Kitajima JP, Santos B, Proto-Siqueira R, Cantarelli VV, Tosta S, Nardy VB, Reboredo de Oliveira da Silva L, Gómez MKA, Lima JG, Ribeiro AA, Guimarães NR, Watanabe LT, Barbosa Da Silva L, da Silva Ferreira R, da Penha MPF, Ortega MJ, de la Fuente AG, Villalba S, Torales J, Gamarra ML, Aquino C, Figueredo GPM, Fava WS, Motta-Castro ARC, Venturini J, do Vale Leone de Oliveira SM, Gonçalves CCM, do Carmo Debur Rossa M, Becker GN, Giacomini MP, Marques NQ, Riediger IN, Raboni S, Mattoso G, Cataneo AD, Zanluca C, Duarte Dos Santos CN, Assato PA, Allan da Silva da Costa F, Poleti MD, Lesbon JCC, Mattos EC, Banho CA, Sacchetto L, Moraes MM, Grotto RMT, Souza-Neto JA, Nogueira ML, Fukumasu H, Coutinho LL, Calado RT, Neto RM, Bispo de Filippis AM, Venancio da Cunha R, Freitas C, Peterka CRL, de Fátima Rangel Fernandes C, Navegantes W, do Carmo Said RF, Campelo de A E Melo CF, Almiron M, Lourenço J, de Oliveira T, Holmes EC, Haddad R, Sampaio SC, Elias MC, Kashima S, Junior de Alcantara LC, Covas DT. Genomic epidemiology of the SARS-CoV-2 epidemic in Brazil. Nat Microbiol 2022; 7:1490-1500. [PMID: 35982313 PMCID: PMC9417986 DOI: 10.1038/s41564-022-01191-z] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 06/28/2022] [Indexed: 01/01/2023]
Abstract
The high numbers of COVID-19 cases and deaths in Brazil have made Latin America an epicentre of the pandemic. SARS-CoV-2 established sustained transmission in Brazil early in the pandemic, but important gaps remain in our understanding of virus transmission dynamics at a national scale. We use 17,135 near-complete genomes sampled from 27 Brazilian states and bordering country Paraguay. From March to November 2020, we detected co-circulation of multiple viral lineages that were linked to multiple importations (predominantly from Europe). After November 2020, we detected large, local transmission clusters within the country. In the absence of effective restriction measures, the epidemic progressed, and in January 2021 there was emergence and onward spread, both within and abroad, of variants of concern and variants under monitoring, including Gamma (P.1) and Zeta (P.2). We also characterized a genomic overview of the epidemic in Paraguay and detected evidence of importation of SARS-CoV-2 ancestor lineages and variants of concern from Brazil. Our findings show that genomic surveillance in Brazil enabled assessment of the real-time spread of emerging SARS-CoV-2 variants.
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Affiliation(s)
- Marta Giovanetti
- Laboratório de Flavivirus, Fundacao Oswaldo Cruz, Rio de Janeiro, Brazil
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biologicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
- Department of Science and Technology for Humans and the Environment, University of Campus Bio-Medico di Roma, Rome, Italy
| | - Svetoslav Nanev Slavov
- Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
- Butantan Institute, São Paulo, Brazil
| | - Vagner Fonseca
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biologicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
- Pan American Health Organization (PAHO)/World Health Organization (WHO), Brasilia, Distrito Federal, Brazil
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Eduan Wilkinson
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Houriiyah Tegally
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | | | | | - Emmanuel James San
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Evandra Strazza Rodrigues
- Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Elaine Vieira Santos
- Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Flavia Aburjaile
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biologicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Joilson Xavier
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biologicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
- Laboratório Central de Saúde Pública do Estado de Minas Gerais (LACEN-MG), Fundação Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
| | - Hegger Fritsch
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biologicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
- Laboratório Central de Saúde Pública do Estado de Minas Gerais (LACEN-MG), Fundação Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
| | - Talita Emile Ribeiro Adelino
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biologicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
- Laboratório Central de Saúde Pública do Estado de Minas Gerais (LACEN-MG), Fundação Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
| | - Felicidade Pereira
- Laboratório Central de Saúde Pública do Estado da Bahia (LACEN-BA), Salvador, Bahia, Brazil
| | - Arabela Leal
- Laboratório Central de Saúde Pública do Estado da Bahia (LACEN-BA), Salvador, Bahia, Brazil
| | - Felipe Campos de Melo Iani
- Laboratório Central de Saúde Pública do Estado de Minas Gerais (LACEN-MG), Fundação Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
| | - Glauco de Carvalho Pereira
- Laboratório Central de Saúde Pública do Estado de Minas Gerais (LACEN-MG), Fundação Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
| | | | - Gladys Mercedes Estigarribia Sanabria
- Laboratório Central de Salud Pública, Asunción, Paraguay
- Instituto Regional de Investigación em Salud, Universidad Nacional del Caaguazú, Caaguazú, Paraguay
- Laboratório de Biología Molecular, Hospital Regional de Coronel Oviedo, Ministerio de Salud Pública y Bienestar Social, Asunción, Paraguay
| | | | - Luiz Demarchi
- Laboratório Central de Saúde Pública do Estado de Mato Grosso do Sul (LACEN-MS), Campo Grande, Mato Grosso do Sul, Brazil
| | - Julio Croda
- Universidade Federal do Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil
| | - Rafael Dos Santos Bezerra
- Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | | | | | | | | | | | | | | | | | | | | | | | | | - Vlademir Vicente Cantarelli
- Universidade Federal de Ciencias da Saúde de Porto Alegre (UFCSPA), Universidade Feevale, Grupo Exame Laboratórios, Rio Grande do Sul, Brazil
| | - Stephane Tosta
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biologicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
- Laboratório Central de Saúde Pública do Estado da Bahia (LACEN-BA), Salvador, Bahia, Brazil
| | - Vanessa Brandão Nardy
- Laboratório Central de Saúde Pública do Estado da Bahia (LACEN-BA), Salvador, Bahia, Brazil
| | | | | | - Jaqueline Gomes Lima
- Laboratório Central de Saúde Pública do Estado da Bahia (LACEN-BA), Salvador, Bahia, Brazil
| | - Adriana Aparecida Ribeiro
- Laboratório Central de Saúde Pública do Estado de Minas Gerais (LACEN-MG), Fundação Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
| | - Natália Rocha Guimarães
- Laboratório Central de Saúde Pública do Estado de Minas Gerais (LACEN-MG), Fundação Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
| | - Luiz Takao Watanabe
- Laboratório Central de Saúde Pública do Estado de Mato Grosso (LACEN-MT), Cuiabá, Mato Grosso, Brazil
| | - Luana Barbosa Da Silva
- Laboratório Central de Saúde Pública do Estado de Mato Grosso (LACEN-MT), Cuiabá, Mato Grosso, Brazil
| | - Raquel da Silva Ferreira
- Laboratório Central de Saúde Pública do Estado de Mato Grosso (LACEN-MT), Cuiabá, Mato Grosso, Brazil
| | | | | | | | | | - Juan Torales
- Laboratório Central de Salud Pública, Asunción, Paraguay
| | | | | | - Gloria Patricia Martínez Figueredo
- Laboratório Central de Salud Pública, Asunción, Paraguay
- Instituto Regional de Investigación em Salud, Universidad Nacional del Caaguazú, Caaguazú, Paraguay
- Laboratório de Biología Molecular, Hospital Regional de Coronel Oviedo, Ministerio de Salud Pública y Bienestar Social, Asunción, Paraguay
| | | | | | - James Venturini
- Universidade Federal do Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil
| | | | | | | | - Guilherme Nardi Becker
- Laboratório Central de Saúde Pública do Estado do Paraná (Lacen-PR), Curitiba, Paraná, Brazil
| | | | - Nelson Quallio Marques
- Laboratório Central de Saúde Pública do Estado do Paraná (Lacen-PR), Curitiba, Paraná, Brazil
| | | | - Sonia Raboni
- Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Gabriela Mattoso
- Laboratório de Virologia Molecular, Instituto Carlos Chagas/Fiocruz-PR, Curitiba, Paraná, Brazil
| | - Allan D Cataneo
- Laboratório de Virologia Molecular, Instituto Carlos Chagas/Fiocruz-PR, Curitiba, Paraná, Brazil
| | - Camila Zanluca
- Laboratório de Virologia Molecular, Instituto Carlos Chagas/Fiocruz-PR, Curitiba, Paraná, Brazil
| | | | - Patricia Akemi Assato
- Department of Bioprocesses and Biotechnology, School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
| | - Felipe Allan da Silva da Costa
- Department of Bioprocesses and Biotechnology, School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
| | - Mirele Daiana Poleti
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Jessika Cristina Chagas Lesbon
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Elisangela Chicaroni Mattos
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Cecilia Artico Banho
- Medicine School of São José do Rio Preto (FAMERP), São José do Rio Preto, São Paulo, Brazil
| | - Lívia Sacchetto
- Medicine School of São José do Rio Preto (FAMERP), São José do Rio Preto, São Paulo, Brazil
| | - Marília Mazzi Moraes
- Medicine School of São José do Rio Preto (FAMERP), São José do Rio Preto, São Paulo, Brazil
| | - Rejane Maria Tommasini Grotto
- Department of Bioprocesses and Biotechnology, School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
- Molecular Biology Laboratory, Applied Biotechnology Laboratory, Clinical Hospital of the Botucatu Medical School, São Paulo, Brazil
| | - Jayme A Souza-Neto
- Department of Bioprocesses and Biotechnology, School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
| | | | - Heidge Fukumasu
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Luiz Lehmann Coutinho
- Centro de Genômica Funcional da ESALQ, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Rodrigo Tocantins Calado
- Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | | | | | | | - Carla Freitas
- Coordenação Geral dos Laboratórios de Saúde Pública/Secretaria de Vigilância em Saúde, Ministério da Saúde, (CGLAB/SVS-MS), Brasília, Distrito Federal, Brazil
| | - Cassio Roberto Leonel Peterka
- Coordenação Geral das Arboviroses, Secretaria de Vigilância em Saúde/Ministério da Saúde (CGARB/SVS-MS), Brasília, Distrito Federal, Brazil
| | - Cássia de Fátima Rangel Fernandes
- Departamento de Imunização e Doenças Transmissíveisa/Secretaria de Vigilancia em Saude, Ministerio da Saude, Brasılia, Distrito Federal, Brazil
| | - Wildo Navegantes
- Pan American Health Organization (PAHO)/World Health Organization (WHO), Brasilia, Distrito Federal, Brazil
| | | | | | - Maria Almiron
- Pan American Health Organization (PAHO)/World Health Organization (WHO), Brasilia, Distrito Federal, Brazil
| | - José Lourenço
- Department of Zoology, University of Oxford, Oxford, UK
- Biosystems and Integrative Sciences Institute, Universidade de Lisboa, Lisboa, Portugal
| | - Tulio de Oliveira
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
- Laboratório Central de Saúde Pública do Estado de Minas Gerais (LACEN-MG), Fundação Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Edward C Holmes
- Marie Bashir Institute for Infectious Diseases and Biosecurity, School of Life and Environmental Sciences and School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
| | | | | | | | - Simone Kashima
- Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
| | - Luiz Carlos Junior de Alcantara
- Laboratório de Flavivirus, Fundacao Oswaldo Cruz, Rio de Janeiro, Brazil.
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biologicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
| | - Dimas Tadeu Covas
- Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
- Butantan Institute, São Paulo, Brazil.
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20
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Ibelli AMG, Peixoto JDO, Zanella R, Gouveia JJDS, Cantão ME, Coutinho LL, Marchesi JAP, Pizzol MSD, Marcelino DEP, Ledur MC. Downregulation of growth plate genes involved with the onset of femoral head separation in young broilers. Front Physiol 2022; 13:941134. [PMID: 36003650 PMCID: PMC9393217 DOI: 10.3389/fphys.2022.941134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 07/08/2022] [Indexed: 11/13/2022] Open
Abstract
Femoral head separation (FHS) is characterized by the detachment of growth plate (GP) and articular cartilage, occurring in tibia and femur. However, the molecular mechanisms involved with this condition are not completely understood. Therefore, genes and biological processes (BP) involved with FHS were identified in 21-day-old broilers through RNA sequencing of the femoral GP. 13,487 genes were expressed in the chicken femoral head transcriptome of normal and FHS-affected broilers. From those, 34 were differentially expressed (DE; FDR ≤0.05) between groups, where all of them were downregulated in FHS-affected broilers. The main BP were enriched in receptor signaling pathways, ossification, bone mineralization and formation, skeletal morphogenesis, and vascularization. RNA-Seq datasets comparison of normal and FHS-affected broilers with 21, 35 and 42 days of age has shown three shared DE genes (FBN2, C1QTNF8, and XYLT1) in GP among ages. Twelve genes were exclusively DE at 21 days, where 10 have already been characterized (SHISA3, FNDC1, ANGPTL7, LEPR, ENSGALG00000049529, OXTR, ENSGALG00000045154, COL16A1, RASD2, BOC, GDF10, and THSD7B). Twelve SNPs were associated with FHS (p < 0.0001). Out of those, 5 were novel and 7 were existing variants located in 7 genes (RARS, TFPI2, TTI1, MAP4K3, LINK54, and AREL1). We have shown that genes related to chondrogenesis and bone differentiation were downregulated in the GP of FHS-affected young broilers. Therefore, these findings evince that candidate genes pointed out in our study are probably related to the onset of FHS in broilers.
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Affiliation(s)
- Adriana Mércia Guaratini Ibelli
- Embrapa Suínos e Aves, Concórdia, Brazil
- Programa de Pós-Graduação em Ciências Veterinárias, Universidade Estadual do Centro-Oeste, Guarapuava, Brazil
| | - Jane de Oliveira Peixoto
- Embrapa Suínos e Aves, Concórdia, Brazil
- Programa de Pós-Graduação em Ciências Veterinárias, Universidade Estadual do Centro-Oeste, Guarapuava, Brazil
| | | | | | | | - Luiz Lehmann Coutinho
- Laboratório de Biotecnologia Animal, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de SP, Piracicaba, Brazil
| | | | | | | | - Mônica Corrêa Ledur
- Embrapa Suínos e Aves, Concórdia, Brazil
- Programa de Pós-Graduação Em Zootecnia, Universidade do Estado de SC, UDESC-Oeste, Chapecó, Brazil
- *Correspondence: Mônica Corrêa Ledur,
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21
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Silva-Vignato B, Cesar ASM, Afonso J, Moreira GCM, Poleti MD, Petrini J, Garcia IS, Clemente LG, Mourão GB, Regitano LCDA, Coutinho LL. Integrative Analysis Between Genome-Wide Association Study and Expression Quantitative Trait Loci Reveals Bovine Muscle Gene Expression Regulatory Polymorphisms Associated With Intramuscular Fat and Backfat Thickness. Front Genet 2022; 13:935238. [PMID: 35991540 PMCID: PMC9386181 DOI: 10.3389/fgene.2022.935238] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 06/23/2022] [Indexed: 11/13/2022] Open
Abstract
Understanding the architecture of gene expression is fundamental to unravel the molecular mechanisms regulating complex traits in bovine, such as intramuscular fat content (IMF) and backfat thickness (BFT). These traits are economically important for the beef industry since they affect carcass and meat quality. Our main goal was to identify gene expression regulatory polymorphisms within genomic regions (QTL) associated with IMF and BFT in Nellore cattle. For that, we used RNA-Seq data from 193 Nellore steers to perform SNP calling analysis. Then, we combined the RNA-Seq SNP and a high-density SNP panel to obtain a new dataset for further genome-wide association analysis (GWAS), totaling 534,928 SNPs. GWAS was performed using the Bayes B model. Twenty-one relevant QTL were associated with our target traits. The expression quantitative trait loci (eQTL) analysis was performed using Matrix eQTL with the complete SNP dataset and 12,991 genes, revealing a total of 71,033 cis and 36,497 trans-eQTL (FDR < 0.05). Intersecting with QTL for IMF, we found 231 eQTL regulating the expression levels of 117 genes. Within those eQTL, three predicted deleterious SNPs were identified. We also identified 109 eQTL associated with BFT and affecting the expression of 54 genes. This study revealed genomic regions and regulatory SNPs associated with fat deposition in Nellore cattle. We highlight the transcription factors FOXP4, FOXO3, ZSCAN2, and EBF4, involved in lipid metabolism-related pathways. These results helped us to improve our knowledge about the genetic architecture behind important traits in cattle.
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Affiliation(s)
- Bárbara Silva-Vignato
- Department of Animal Science, College of Agriculture “Luiz de Queiroz”, University of São Paulo, Piracicaba, Brazil
| | - Aline Silva Mello Cesar
- Department of Agroindustry, Food, and Nutrition, College of Agriculture “Luiz de Queiroz”, University of São Paulo, Piracicaba, Brazil
| | | | | | - Mirele Daiana Poleti
- College of Animal Science and Food Engineering, University of São Paulo, Pirassununga, Brazil
| | - Juliana Petrini
- Department of Animal Science, College of Agriculture “Luiz de Queiroz”, University of São Paulo, Piracicaba, Brazil
| | - Ingrid Soares Garcia
- Department of Animal Science, College of Agriculture “Luiz de Queiroz”, University of São Paulo, Piracicaba, Brazil
| | - Luan Gaspar Clemente
- Department of Animal Science, College of Agriculture “Luiz de Queiroz”, University of São Paulo, Piracicaba, Brazil
| | - Gerson Barreto Mourão
- Department of Animal Science, College of Agriculture “Luiz de Queiroz”, University of São Paulo, Piracicaba, Brazil
| | | | - Luiz Lehmann Coutinho
- Department of Animal Science, College of Agriculture “Luiz de Queiroz”, University of São Paulo, Piracicaba, Brazil
- *Correspondence: Luiz Lehmann Coutinho,
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22
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Sartori AGDO, Cesar ASM, Woitowicz FCG, Saliba ASMC, Ikegaki M, Rosalen PL, Coutinho LL, Alencar SMD. Plant genetic diversity by DNA barcoding to investigate propolis origin. Phytochemistry 2022; 200:113226. [PMID: 35605810 DOI: 10.1016/j.phytochem.2022.113226] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 05/01/2022] [Accepted: 05/02/2022] [Indexed: 06/15/2023]
Abstract
Identify the botanical origins of a certain type of propolis may be challenging and time demanding, since it involves bee's behavior observation, plant resins collection and chemical analysis. Thus, this study aimed to determine the plant genetic materials in propolis from southern Brazil using the DNA barcoding to investigate their botanical origins, as well as to compare it with the phytochemical composition determined by ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS) and with the pollinic profile. As principal results, non-native Populus carolinensis Moench (Salicaceae) was almost the only DNA source in some propolis samples, which coincided with the presence of flavonoids typical from poplar exudates. Conversely, other propolis samples had DNA material coming mainly from native plant species, most of them characterized to the species level, although no specific chemical markers from those plants could be identified by UHPLC-HRMS. However, pollen from several plants identified by the DNA barcoding were extracted from some propolis samples. Despite the identification of typical diterpenes, DNA material from Araucaria angustifolia (Bertol.) Kuntze (Araucariaceae), which have been indicated as a major resin source for propolis from preservation areas in southern Brazil, was found in very small abundancies, likely because bees do not drag tissue material containing DNA when collecting resin from this native species. In conclusion, DNA barcoding analysis successfully provided information about the provenance of propolis, although, depending on the plant resin sources, this information is likely to come from pollen.
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Affiliation(s)
| | - Aline Silva Mello Cesar
- Luiz de Queiroz College of Agriculture, University of São Paulo, CEP: 13418-900, Piracicaba, SP, Brazil
| | | | | | - Masaharu Ikegaki
- Federal University of Alfenas, CEP: 37130-001, Alfenas, MG, Brazil
| | | | - Luiz Lehmann Coutinho
- Luiz de Queiroz College of Agriculture, University of São Paulo, CEP: 13418-900, Piracicaba, SP, Brazil
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23
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da Silva VH, Goes CP, Trevisoli PA, Lello R, Clemente LG, de Almeida TB, Petrini J, Coutinho LL. Simulation of group testing scenarios can boost COVID-19 screening power. Sci Rep 2022; 12:11854. [PMID: 35831373 PMCID: PMC9277601 DOI: 10.1038/s41598-022-14626-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 06/09/2022] [Indexed: 12/02/2022] Open
Abstract
The COVID-19 has severely affected economies and health systems around the world. Mass testing could work as a powerful alternative to restrain disease dissemination, but the shortage of reagents is a limiting factor. A solution to optimize test usage relies on ‘grouping’ or ‘pooling’ strategies, which combine a set of individuals in a single reaction. To compare different group testing configurations, we developed the poolingr package, which performs an innovative hybrid in silico/in vitro approach to search for optimal testing configurations. We used 6759 viral load values, observed in 2389 positive individuals, to simulate a wide range of scenarios. We found that larger groups (>100) framed into multi-stage setups (up to six stages) could largely boost the power to detect spreaders. Although the boost was dependent on the disease prevalence, our method could point to cheaper grouping schemes to better mitigate COVID-19 dissemination through identification and quarantine recommendation for positive individuals.
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Affiliation(s)
- Vinicius Henrique da Silva
- Department of Animal Science, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil
| | - Carolina Purcell Goes
- Department of Animal Science, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil
| | - Priscila Anchieta Trevisoli
- Department of Animal Science, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil
| | - Raquel Lello
- Department of Animal Science, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil
| | - Luan Gaspar Clemente
- Department of Animal Science, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil
| | | | - Juliana Petrini
- Department of Animal Science, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil
| | - Luiz Lehmann Coutinho
- Department of Animal Science, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil.
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24
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Cardoso TF, Bruscadin JJ, Afonso J, Petrini J, Andrade BGN, de Oliveira PSN, Malheiros JM, Rocha MIP, Zerlotini A, Ferraz JBS, Mourão GB, Coutinho LL, Regitano LCA. EEF1A1 transcription cofactor gene polymorphism is associated with muscle gene expression and residual feed intake in Nelore cattle. Mamm Genome 2022; 33:619-628. [PMID: 35816191 DOI: 10.1007/s00335-022-09959-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 06/22/2022] [Indexed: 12/01/2022]
Abstract
Cis-acting effects of noncoding variants on gene expression and regulatory molecules constitute a significant factor for phenotypic variation in complex traits. To provide new insights into the impacts of single-nucleotide polymorphisms (SNPs) on transcription factors (TFs) and transcription cofactors (TcoF) coding genes, we carried out a multi-omic analysis to identify cis-regulatory effects of SNPs on these genes' expression in muscle and describe their association with feed efficiency-related traits in Nelore cattle. As a result, we identified one SNP, the rs137256008C > T, predicted to impact the EEF1A1 gene expression (β = 3.02; P-value = 3.51E-03) and the residual feed intake trait (β = - 3.47; P-value = 0.02). This SNP was predicted to modify transcription factor sites and overlaps with several QTL for feed efficiency traits. In addition, co-expression network analyses showed that animals containing the T allele of the rs137256008 SNP may be triggering changes in the gene network. Therefore, our analyses reinforce and contribute to a better understanding of the biological mechanisms underlying gene expression control of feed efficiency traits in bovines. The cis-regulatory SNP can be used as biomarker for feed efficiency in Nelore cattle.
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Affiliation(s)
- T F Cardoso
- Embrapa Southeast Livestock, São Carlos, SP, Brazil
| | - J J Bruscadin
- Program on Evolutionary Genetics and Molecular Biology, Federal University of São Carlos, São Carlos, SP, Brazil
| | - J Afonso
- Embrapa Southeast Livestock, São Carlos, SP, Brazil
| | - J Petrini
- Department of Animal Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo/ESALQ, Piracicaba, SP, Brazil
| | - B G N Andrade
- Computer Science Department, Munster Technological University, MTU/ADAPT, Cork, Ireland
| | - P S N de Oliveira
- Program on Evolutionary Genetics and Molecular Biology, Federal University of São Carlos, São Carlos, SP, Brazil
| | - J M Malheiros
- Federal University of Latin American Integration, Foz do Iguaçu, Paraná, Brazil
| | - M I P Rocha
- Program on Evolutionary Genetics and Molecular Biology, Federal University of São Carlos, São Carlos, SP, Brazil
| | - A Zerlotini
- Embrapa Agricultural Informatics, Campinas, SP, Brazil
| | - J B S Ferraz
- Department of Veterinary Medicine, University of São Paulo/FZEA, Pirassununga, Brazil
| | - G B Mourão
- Department of Animal Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo/ESALQ, Piracicaba, SP, Brazil
| | - L L Coutinho
- Department of Animal Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo/ESALQ, Piracicaba, SP, Brazil
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25
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Viala VL, Slavov SN, de Lima LPO, Lima ARJ, Ribeiro G, Martins AJ, Petry B, Banho CA, Barros CRDS, Moncau CT, Moretti DB, de La-Roque DGL, Marqueze EC, Mattos EC, da Costa FADS, Fukumasu H, Bernardino JDST, Souza-Neto JA, Lesbon JCC, Kayanoki LP, Bernardo LL, Sacchetto L, Clemente LG, Alcantara LCJ, Coutinho LL, Marques BDC, Giovanetti M, Nogueira ML, Poleti MD, Assato PA, Cattony Neto PDQ, Cassano RDLRC, Neto RM, Grotto RMT, Brassaloti RA, Kashima S, Covas DT, Elias MC, Sampaio SC. The Divergent Pattern of SARS-CoV-2 Variant Predominance and Transmission Dynamics in the Brazilian Island of Ilhabela. Viruses 2022; 14:v14071481. [PMID: 35891460 PMCID: PMC9323713 DOI: 10.3390/v14071481] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 06/19/2022] [Accepted: 06/30/2022] [Indexed: 02/04/2023] Open
Abstract
Our effort in SARS-CoV-2 genomic surveillance in Brazil has detected the Alpha Variant of Concern with a predominance higher than 75% in the population of Ilhabela island (São Paulo State) at a time when the Gamma VOC was already predominating the mainland raised concerns for closer surveillance on this island. Therefore, we intensified the surveillance for 24 weeks by generating data from 34% of local positive cases. Our data show that the patterns of VOC predominance dynamics and infection rates were in general distinct from the mainland. We report here the first known case of Alpha predominance in a Brazilian population, a delay greater than 3 months for the Gamma to dominate the previous variants compared to the mainland, and a faster dispersion rate of Gamma and Delta VOCs compared to the mainland. Phylogenetic analysis revealed the SARS-CoV-2 transmission dynamics in Ilhabela were characterized by multiple independent introduction events of Gamma and Delta, with a few events of Alpha introduction, two of them followed by community transmission. This study evidenced the peculiar behavior of SARS-CoV-2 variants in an isolated population and brought to light the importance of specific programs for SARS-CoV-2 genomic surveillance in isolated populations.
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Affiliation(s)
- Vincent Louis Viala
- Butantan Institute, São Paulo 05503-900, SP, Brazil; (L.P.O.d.L.); (A.R.J.L.); (G.R.); (A.J.M.); (C.R.d.S.B.); (D.B.M.); (E.C.M.); (J.d.S.T.B.); (P.D.Q.C.N.); (R.M.N.); (D.T.C.)
- Correspondence: (V.L.V.); (M.C.E.); (S.C.S.)
| | - Svetoslav Nanev Slavov
- Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14049-900, SP, Brazil; (S.N.S.); (D.G.L.d.L.-R.); (S.K.)
| | - Loyze Paola Oliveira de Lima
- Butantan Institute, São Paulo 05503-900, SP, Brazil; (L.P.O.d.L.); (A.R.J.L.); (G.R.); (A.J.M.); (C.R.d.S.B.); (D.B.M.); (E.C.M.); (J.d.S.T.B.); (P.D.Q.C.N.); (R.M.N.); (D.T.C.)
| | - Alex Ranieri Jeronimo Lima
- Butantan Institute, São Paulo 05503-900, SP, Brazil; (L.P.O.d.L.); (A.R.J.L.); (G.R.); (A.J.M.); (C.R.d.S.B.); (D.B.M.); (E.C.M.); (J.d.S.T.B.); (P.D.Q.C.N.); (R.M.N.); (D.T.C.)
| | - Gabriela Ribeiro
- Butantan Institute, São Paulo 05503-900, SP, Brazil; (L.P.O.d.L.); (A.R.J.L.); (G.R.); (A.J.M.); (C.R.d.S.B.); (D.B.M.); (E.C.M.); (J.d.S.T.B.); (P.D.Q.C.N.); (R.M.N.); (D.T.C.)
| | - Antonio Jorge Martins
- Butantan Institute, São Paulo 05503-900, SP, Brazil; (L.P.O.d.L.); (A.R.J.L.); (G.R.); (A.J.M.); (C.R.d.S.B.); (D.B.M.); (E.C.M.); (J.d.S.T.B.); (P.D.Q.C.N.); (R.M.N.); (D.T.C.)
| | - Bruna Petry
- Centro de Genômica Funcional da ESALQ, University of São Paulo, Piracicaba 13418-900, SP, Brazil; (B.P.); (C.T.M.); (L.G.C.); (L.L.C.); (R.d.L.R.C.C.); (R.A.B.)
| | - Cecilia Artico Banho
- Medicine School of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil; (C.A.B.); (L.S.); (B.d.C.M.); (M.L.N.)
| | - Claudia Renata dos Santos Barros
- Butantan Institute, São Paulo 05503-900, SP, Brazil; (L.P.O.d.L.); (A.R.J.L.); (G.R.); (A.J.M.); (C.R.d.S.B.); (D.B.M.); (E.C.M.); (J.d.S.T.B.); (P.D.Q.C.N.); (R.M.N.); (D.T.C.)
| | - Cristina Tschorny Moncau
- Centro de Genômica Funcional da ESALQ, University of São Paulo, Piracicaba 13418-900, SP, Brazil; (B.P.); (C.T.M.); (L.G.C.); (L.L.C.); (R.d.L.R.C.C.); (R.A.B.)
| | - Debora Botequio Moretti
- Butantan Institute, São Paulo 05503-900, SP, Brazil; (L.P.O.d.L.); (A.R.J.L.); (G.R.); (A.J.M.); (C.R.d.S.B.); (D.B.M.); (E.C.M.); (J.d.S.T.B.); (P.D.Q.C.N.); (R.M.N.); (D.T.C.)
| | - Debora Glenda Lima de La-Roque
- Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14049-900, SP, Brazil; (S.N.S.); (D.G.L.d.L.-R.); (S.K.)
| | - Elaine Cristina Marqueze
- Butantan Institute, São Paulo 05503-900, SP, Brazil; (L.P.O.d.L.); (A.R.J.L.); (G.R.); (A.J.M.); (C.R.d.S.B.); (D.B.M.); (E.C.M.); (J.d.S.T.B.); (P.D.Q.C.N.); (R.M.N.); (D.T.C.)
| | - Elisangela Chicaroni Mattos
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga 13635-900, SP, Brazil; (E.C.M.); (H.F.); (J.C.C.L.); (M.D.P.)
| | - Felipe Allan da Silva da Costa
- Department of Bioprocesses and Biotechnology, School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18610-034, SP, Brazil; (F.A.d.S.d.C.); (P.A.A.)
| | - Heidge Fukumasu
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga 13635-900, SP, Brazil; (E.C.M.); (H.F.); (J.C.C.L.); (M.D.P.)
| | - Jardelina de Souza Todao Bernardino
- Butantan Institute, São Paulo 05503-900, SP, Brazil; (L.P.O.d.L.); (A.R.J.L.); (G.R.); (A.J.M.); (C.R.d.S.B.); (D.B.M.); (E.C.M.); (J.d.S.T.B.); (P.D.Q.C.N.); (R.M.N.); (D.T.C.)
| | - Jayme A. Souza-Neto
- School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18610-034, SP, Brazil; (J.A.S.-N.); (R.M.T.G.)
| | - Jessika Cristina Chagas Lesbon
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga 13635-900, SP, Brazil; (E.C.M.); (H.F.); (J.C.C.L.); (M.D.P.)
| | | | | | - Lívia Sacchetto
- Medicine School of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil; (C.A.B.); (L.S.); (B.d.C.M.); (M.L.N.)
| | - Luan Gaspar Clemente
- Centro de Genômica Funcional da ESALQ, University of São Paulo, Piracicaba 13418-900, SP, Brazil; (B.P.); (C.T.M.); (L.G.C.); (L.L.C.); (R.d.L.R.C.C.); (R.A.B.)
| | - Luiz Carlos Júnior Alcantara
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil;
- Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro 21040-360, RJ, Brazil
| | - Luiz Lehmann Coutinho
- Centro de Genômica Funcional da ESALQ, University of São Paulo, Piracicaba 13418-900, SP, Brazil; (B.P.); (C.T.M.); (L.G.C.); (L.L.C.); (R.d.L.R.C.C.); (R.A.B.)
| | - Beatriz de Carvalho Marques
- Medicine School of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil; (C.A.B.); (L.S.); (B.d.C.M.); (M.L.N.)
| | - Marta Giovanetti
- Reference Laboratory of Flavivirus, Oswaldo Cruz Foundation, Rio de Janeiro 21040-360, RJ, Brazil;
- Department of Science and Technology for Humans and the Environment, University of Campus Bio-Medico di Roma, 00128 Rome, Italy
| | - Maurício Lacerda Nogueira
- Medicine School of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil; (C.A.B.); (L.S.); (B.d.C.M.); (M.L.N.)
| | - Mirele Daiana Poleti
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga 13635-900, SP, Brazil; (E.C.M.); (H.F.); (J.C.C.L.); (M.D.P.)
| | - Patricia Akemi Assato
- Department of Bioprocesses and Biotechnology, School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18610-034, SP, Brazil; (F.A.d.S.d.C.); (P.A.A.)
| | - Pedro De Queiroz Cattony Neto
- Butantan Institute, São Paulo 05503-900, SP, Brazil; (L.P.O.d.L.); (A.R.J.L.); (G.R.); (A.J.M.); (C.R.d.S.B.); (D.B.M.); (E.C.M.); (J.d.S.T.B.); (P.D.Q.C.N.); (R.M.N.); (D.T.C.)
| | - Raquel de Lello Rocha Campos Cassano
- Centro de Genômica Funcional da ESALQ, University of São Paulo, Piracicaba 13418-900, SP, Brazil; (B.P.); (C.T.M.); (L.G.C.); (L.L.C.); (R.d.L.R.C.C.); (R.A.B.)
| | - Raul Machado Neto
- Butantan Institute, São Paulo 05503-900, SP, Brazil; (L.P.O.d.L.); (A.R.J.L.); (G.R.); (A.J.M.); (C.R.d.S.B.); (D.B.M.); (E.C.M.); (J.d.S.T.B.); (P.D.Q.C.N.); (R.M.N.); (D.T.C.)
| | - Rejane Maria Tommasini Grotto
- School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18610-034, SP, Brazil; (J.A.S.-N.); (R.M.T.G.)
- Molecular Biology and Applied Biotechnology Laboratory, Clinical Hospital of the Botucatu Medical School, Botucatu 18610-034, SP, Brazil
| | - Ricardo Augusto Brassaloti
- Centro de Genômica Funcional da ESALQ, University of São Paulo, Piracicaba 13418-900, SP, Brazil; (B.P.); (C.T.M.); (L.G.C.); (L.L.C.); (R.d.L.R.C.C.); (R.A.B.)
| | - Simone Kashima
- Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14049-900, SP, Brazil; (S.N.S.); (D.G.L.d.L.-R.); (S.K.)
| | - Dimas Tadeu Covas
- Butantan Institute, São Paulo 05503-900, SP, Brazil; (L.P.O.d.L.); (A.R.J.L.); (G.R.); (A.J.M.); (C.R.d.S.B.); (D.B.M.); (E.C.M.); (J.d.S.T.B.); (P.D.Q.C.N.); (R.M.N.); (D.T.C.)
- Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14049-900, SP, Brazil; (S.N.S.); (D.G.L.d.L.-R.); (S.K.)
| | - Maria Carolina Elias
- Butantan Institute, São Paulo 05503-900, SP, Brazil; (L.P.O.d.L.); (A.R.J.L.); (G.R.); (A.J.M.); (C.R.d.S.B.); (D.B.M.); (E.C.M.); (J.d.S.T.B.); (P.D.Q.C.N.); (R.M.N.); (D.T.C.)
- Correspondence: (V.L.V.); (M.C.E.); (S.C.S.)
| | - Sandra Coccuzzo Sampaio
- Butantan Institute, São Paulo 05503-900, SP, Brazil; (L.P.O.d.L.); (A.R.J.L.); (G.R.); (A.J.M.); (C.R.d.S.B.); (D.B.M.); (E.C.M.); (J.d.S.T.B.); (P.D.Q.C.N.); (R.M.N.); (D.T.C.)
- Correspondence: (V.L.V.); (M.C.E.); (S.C.S.)
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Alcantara LCJ, Nogueira E, Shuab G, Tosta S, Fristch H, Pimentel V, Souza-Neto JA, Coutinho LL, Fukumasu H, Sampaio SC, Elias MC, Kashima S, Slavov SN, Ciccozzi M, Cella E, Lourenco J, Fonseca V, Giovanetti M. SARS-CoV-2 epidemic in Brazil: how the displacement of variants has driven distinct epidemic waves. Virus Res 2022; 315:198785. [PMID: 35461905 PMCID: PMC9022374 DOI: 10.1016/j.virusres.2022.198785] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/11/2022] [Accepted: 04/12/2022] [Indexed: 02/01/2023]
Abstract
Brazil ranks as third in terms of total number of reported SARS-CoV-2 cases globally. The COVID-19 epidemic in Brazil was characterised by the co-circulation of multiple variants as a consequence of multiple independent introduction events occurring through time. Here, we describe the SARS-CoV-2 variants that are currently circulating and co-circulating in the country, with the aim to highlight which variants have driven the different epidemic waves. For this purpose, we retrieved metadata information of Coronavirus sequences collected in Brazil and available at the GISAID database. SARS-CoV-2 lineages have been identified along with eleven variants, labelled as VOCs (Alpha, Gamma, Beta, Delta and Omicron) VOIs (Lambda and Mu) VUMs (B.1.1.318) and FMVs (Zeta, Eta and B.1.1.519). Here we show that, in the Brazilian context, after 24 months of sustained transmission and evolution of SARS-CoV-2, local variants (among them the B.1.1.28 and B.1.1.33) were displaced by recently introduced VOCs firstly with the Gamma, followed by Delta and more recently Omicron. The rapid spread of some of those VOCs (such as Gamma and Omicron) was also mirror by a large increase in the number of cases and deaths in the country. This in turn reinforces that, due to the emergence of variants that appear to induce a substantial evasion against neutralizing antibody response, it is important to strengthen genomic effort within the country and how vaccination still remains a critical process to protect the vulnerable population, still at risk of infection and death.
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Affiliation(s)
- Luiz Carlos Junior Alcantara
- Laboratório de Flavivírus, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil,Laboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil,Corresponding author
| | - Elisson Nogueira
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Gabriel Shuab
- Laboratório de Flavivírus, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Stephane Tosta
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Hegger Fristch
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Victor Pimentel
- Global Health and Tropical Medicine (GHTM), Instituto de Higiene e Medicina Tropical/Universidade Nova de Lisboa (IHMT/UNL), Portugal
| | - Jayme A. Souza-Neto
- São Paulo State University (UNESP), School of Agricultural Sciences, Botucatu, Brazil
| | - Luiz Lehmann Coutinho
- University of São Paulo, Centro de Genômica Funcional da ESALQ, Piracicaba, SP, Brazil
| | - Heidge Fukumasu
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil
| | | | | | - Simone Kashima
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Svetoslav Nanev Slavov
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Massimo Ciccozzi
- Medical Statistic and Molecular Epidemiology Unit, University of Biomedical Campus, Rome, Italy
| | - Eleonora Cella
- Burnett School of Biomedical Sciences, University of Central Florida, Orlando, FL, USA
| | - José Lourenco
- Department of Zoology, Peter Medawar Building, University of Oxford, Oxford, UK,Biosystems and Integrative Sciences Institute (BioISI), Universidade de Lisboa, Portugal
| | - Vagner Fonseca
- Organização Pan-Americana da Saúde/Organização Mundial da Saúde, Brasília, Distrito Federal, Brazil,KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa,Corresponding author
| | - Marta Giovanetti
- Laboratório de Flavivírus, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil,Laboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil,Department of Science and Technology for Humans and the Environment, University of Campus Bio-Medico di Roma, Rome, Italy,Corresponding author
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27
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Fanalli SL, da Silva BPM, Gomes JD, de Almeida VV, Freitas FAO, Moreira GCM, Silva-Vignato B, Afonso J, Reecy J, Koltes J, Koltes D, de Almeida Regitano LC, Garrick DJ, de Carvalho Balieiro JC, Meira AN, Freitas L, Coutinho LL, Fukumasu H, Mourão GB, de Alencar SM, Luchiari Filho A, Cesar ASM. Differential Gene Expression Associated with Soybean Oil Level in the Diet of Pigs. Animals (Basel) 2022; 12:ani12131632. [PMID: 35804531 PMCID: PMC9265114 DOI: 10.3390/ani12131632] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 06/15/2022] [Accepted: 06/20/2022] [Indexed: 12/21/2022] Open
Abstract
Simple Summary Findings from the analysis of the pig transcriptome may help to better understand the biological mechanisms that can be modulated by the diet. Thus, the aim of this study was to identify the differentially expressed genes from the skeletal muscle and liver samples of pigs fed diets with two different levels of soybean oil (1.5 or 3%). The FA profile in the tissues was modified by the diet mainly related to monounsaturated (MUFA) and polyunsaturated (PUFA). This nutrigenomics study verified the effect of different levels of soybean oil in the pig diet on the transcriptome profile of skeletal muscle and liver, where the higher level of soybean oil added to the diet led to a higher expression of genes targeting biological processes related to lipid oxidation and consequently to metabolic diseases and inflammation. Abstract The aim of this study was to identify the differentially expressed genes (DEG) from the skeletal muscle and liver samples of animal models for metabolic diseases in humans. To perform the study, the fatty acid (FA) profile and RNA sequencing (RNA-Seq) data of 35 samples of liver tissue (SOY1.5, n = 17 and SOY3.0, n = 18) and 36 samples of skeletal muscle (SOY1.5, n = 18 and SOY3.0, n = 18) of Large White pigs were analyzed. The FA profile of the tissues was modified by the diet, mainly those related to monounsaturated (MUFA) and polyunsaturated (PUFA) FA. The skeletal muscle transcriptome analysis revealed 45 DEG (FDR 10%), and the functional enrichment analysis identified network maps related to inflammation, immune processes, and pathways associated with oxidative stress, type 2 diabetes, and metabolic dysfunction. For the liver tissue, the transcriptome profile analysis revealed 281 DEG, which participate in network maps related to neurodegenerative diseases. With this nutrigenomics study, we verified that different levels of soybean oil in the pig diet, an animal model for metabolic diseases in humans, affected the transcriptome profile of skeletal muscle and liver tissue. These findings may help to better understand the biological mechanisms that can be modulated by the diet.
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Affiliation(s)
- Simara Larissa Fanalli
- Faculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga 13635-900, SP, Brazil; (S.L.F.); (B.P.M.d.S.); (H.F.)
| | - Bruna Pereira Martins da Silva
- Faculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga 13635-900, SP, Brazil; (S.L.F.); (B.P.M.d.S.); (H.F.)
| | - Julia Dezen Gomes
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, SP, Brazil; (J.D.G.); (F.A.O.F.); (B.S.-V.); (A.N.M.); (L.L.C.); (G.B.M.); (S.M.d.A.); (A.L.F.)
| | - Vivian Vezzoni de Almeida
- College of Veterinary Medicine and Animal Science, Federal University of Goiás, Goiânia 74690-900, GO, Brazil;
| | - Felipe André Oliveira Freitas
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, SP, Brazil; (J.D.G.); (F.A.O.F.); (B.S.-V.); (A.N.M.); (L.L.C.); (G.B.M.); (S.M.d.A.); (A.L.F.)
| | | | - Bárbara Silva-Vignato
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, SP, Brazil; (J.D.G.); (F.A.O.F.); (B.S.-V.); (A.N.M.); (L.L.C.); (G.B.M.); (S.M.d.A.); (A.L.F.)
| | - Juliana Afonso
- Embrapa Pecuária Sudeste, São Carlos 70770-901, SP, Brazil; (J.A.); (L.C.d.A.R.)
| | - James Reecy
- College of Agriculture and Life Sciences, Iowa State University, Ames, IA 50011, USA; (J.R.); (J.K.); (D.K.)
| | - James Koltes
- College of Agriculture and Life Sciences, Iowa State University, Ames, IA 50011, USA; (J.R.); (J.K.); (D.K.)
| | - Dawn Koltes
- College of Agriculture and Life Sciences, Iowa State University, Ames, IA 50011, USA; (J.R.); (J.K.); (D.K.)
| | | | - Dorian John Garrick
- AL Rae Centre for Genetics and Breeding, Massey University, Hamilton 3214, New Zealand;
| | | | - Ariana Nascimento Meira
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, SP, Brazil; (J.D.G.); (F.A.O.F.); (B.S.-V.); (A.N.M.); (L.L.C.); (G.B.M.); (S.M.d.A.); (A.L.F.)
| | - Luciana Freitas
- DB Genética de Suínos, Patos de Minas 38706-000, MG, Brazil;
| | - Luiz Lehmann Coutinho
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, SP, Brazil; (J.D.G.); (F.A.O.F.); (B.S.-V.); (A.N.M.); (L.L.C.); (G.B.M.); (S.M.d.A.); (A.L.F.)
| | - Heidge Fukumasu
- Faculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga 13635-900, SP, Brazil; (S.L.F.); (B.P.M.d.S.); (H.F.)
| | - Gerson Barreto Mourão
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, SP, Brazil; (J.D.G.); (F.A.O.F.); (B.S.-V.); (A.N.M.); (L.L.C.); (G.B.M.); (S.M.d.A.); (A.L.F.)
| | - Severino Matias de Alencar
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, SP, Brazil; (J.D.G.); (F.A.O.F.); (B.S.-V.); (A.N.M.); (L.L.C.); (G.B.M.); (S.M.d.A.); (A.L.F.)
| | - Albino Luchiari Filho
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, SP, Brazil; (J.D.G.); (F.A.O.F.); (B.S.-V.); (A.N.M.); (L.L.C.); (G.B.M.); (S.M.d.A.); (A.L.F.)
| | - Aline Silva Mello Cesar
- Faculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga 13635-900, SP, Brazil; (S.L.F.); (B.P.M.d.S.); (H.F.)
- Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, SP, Brazil; (J.D.G.); (F.A.O.F.); (B.S.-V.); (A.N.M.); (L.L.C.); (G.B.M.); (S.M.d.A.); (A.L.F.)
- Correspondence:
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28
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de Souza AJ, de Araújo Pereira AP, Pedrinho A, Andreote FD, Tornisielo VL, Tizioto PC, Coutinho LL, Regitano JB. Land use and roles of soil bacterial community in the dissipation of atrazine. Sci Total Environ 2022; 827:154239. [PMID: 35245545 DOI: 10.1016/j.scitotenv.2022.154239] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 02/24/2022] [Accepted: 02/26/2022] [Indexed: 06/14/2023]
Abstract
Atrazine (ATZ) is one of the most widely used herbicides in the world even though it is classified as a carcinogenic endocrine disruptor. This study focused on how land use (grazing versus cultivation in parallel soils, the latter under no-till with a seven-year history of ATZ application) and bacterial community diversity affected ATZ dissipation. Proteobacteria, Bacteroidetes, Firmicutes, Actinobacteria, Acidobacteria, Verrucomicrobia, Planctomycetes, and Gemmatimonadetes were the dominant phyla in both soils. The mineralization of ATZ was much higher in soils under cultivation up to the onset of moderate diversity depletion (dilution =10-3), corresponding to 44-52% of the amount applied (< 5% in the grazed soil). This was attributed to the higher diversity and complexity of the soils´ bacterial communities which consist of microbial groups that were more adapted as a result of previous exposure to ATZ. In these cases, ATZ dissipation was attributed mainly to mineralization (DT50 = 4-11 d). However, formation of non-extractable ATZ residues was exceptionally important in the other cases (DT50 = 17-44 d). The cultivated soils also presented a higher number of bacterial genera correlated with ATZ dissipation, in which Acidothermus, Aquicela, Arenimonas, Candidatus_Koribacter, Hirschia, MND1, Nitrospira, Occallatibacter, OM27_clade, and Ralstonia are suggested as potential ATZ-degraders. Finally, ATZ dissipation was mostly associated with an abundance of microbial functions related to energy supply and N-metabolism, suggesting co-metabolism is its first biodegradation step.
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Affiliation(s)
- Adijailton Jose de Souza
- Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, São Paulo, Brazil
| | | | - Alexandre Pedrinho
- Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Fernando Dini Andreote
- Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Valdemar Luiz Tornisielo
- Center of Nuclear Energy for Agriculture (CENA), University of São Paulo, Piracicaba, São Paulo, Brazil
| | | | - Luiz Lehmann Coutinho
- Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Jussara Borges Regitano
- Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, São Paulo, Brazil.
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29
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Fanalli SL, da Silva BPM, Gomes JD, Ciconello FN, de Almeida VV, Freitas FAO, Moreira GCM, Silva-Vignato B, Afonso J, Reecy J, Koltes J, Koltes D, Regitano LCA, de Carvalho Baileiro JC, Freitas L, Coutinho LL, Fukumasu H, de Alencar SM, Luchiari Filho A, Cesar ASM. Effect of dietary soybean oil inclusion on liver-related transcription factors in a pig model for metabolic diseases. Sci Rep 2022; 12:10318. [PMID: 35725871 PMCID: PMC9209463 DOI: 10.1038/s41598-022-14069-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Accepted: 05/31/2022] [Indexed: 12/21/2022] Open
Abstract
Dietary fatty acids (FA) are components of the lipids, which contribute to membrane structure, energy input, and biological functions related to cellular signaling and transcriptome regulation. However, the consumers still associate dietary FA with fat deposition and increased occurrence of metabolic diseases such as obesity and atherosclerosis. Previous studies already demonstrated that some fatty acids are linked with inflammatory response, preventing metabolic diseases. To better understand the role of dietary FA on metabolic diseases, for the first time, a study to identify key transcription factors (TF) involved in lipid metabolism and inflammatory response by transcriptome analysis from liver samples of animal models was performed. The key TF were identified by functional enrichment analysis from the list of differentially expressed genes identified in liver samples between 35 pigs fed with 1.5% or 3.0% soybean oil. The functional enrichment analysis detected TF linked to lipid homeostasis and inflammatory response, such as RXRA, EGFR, and SREBP2 precursor. These findings demonstrated that key TF related to lipid metabolism could be modulated by dietary inclusion of soybean oil. It could contribute to nutrigenomics research field that aims to elucidate dietary interventions in animal and human health, as well as to drive food technology and science.
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Affiliation(s)
- Simara Larissa Fanalli
- Faculty of Animal Science and Food Engineering, University of São Paulo, Campus Fernando Costa, Avenue Duque de Caxias Norte 225, Pirassununga, São Paulo, 13635-900, Brazil
| | - Bruna Pereira Martins da Silva
- Faculty of Animal Science and Food Engineering, University of São Paulo, Campus Fernando Costa, Avenue Duque de Caxias Norte 225, Pirassununga, São Paulo, 13635-900, Brazil
| | - Julia Dezen Gomes
- Luiz de Queiroz College of Agriculture, University of São Paulo, Avenue Pádua Dias 11, Piracicaba, São Paulo, 13418-900, Brazil
| | - Fernanda Nery Ciconello
- Luiz de Queiroz College of Agriculture, University of São Paulo, Avenue Pádua Dias 11, Piracicaba, São Paulo, 13418-900, Brazil
| | - Vivian Vezzoni de Almeida
- College of Veterinary Medicine and Animal Science, Federal University of Goiás, Nova Veneza, km 8, Campus Samambaia, Goiânia, Goiás, 74690-900, Brazil
| | - Felipe André Oliveira Freitas
- Luiz de Queiroz College of Agriculture, University of São Paulo, Avenue Pádua Dias 11, Piracicaba, São Paulo, 13418-900, Brazil
| | - Gabriel Costa Monteiro Moreira
- University of Liège, GIGA Medical Genomics, Unit of Animal Genomics, Quartier Hôpital, Avenue de l'Hôpital, 11, 4000, Liège, Belgium
| | - Bárbara Silva-Vignato
- Luiz de Queiroz College of Agriculture, University of São Paulo, Avenue Pádua Dias 11, Piracicaba, São Paulo, 13418-900, Brazil
| | - Juliana Afonso
- Embrapa Pecuária Sudeste, Km 234 s/nº, São Carlos, São Paulo, 13560-970, Brazil
| | - James Reecy
- Department of Animal Science, College of Agriculture and Life Sciences, Iowa State University, 1221, Kildee Hall, Ames, IA, 50011-3150, USA
| | - James Koltes
- Department of Animal Science, College of Agriculture and Life Sciences, Iowa State University, 1221, Kildee Hall, Ames, IA, 50011-3150, USA
| | - Dawn Koltes
- Department of Animal Science, College of Agriculture and Life Sciences, Iowa State University, 1221, Kildee Hall, Ames, IA, 50011-3150, USA
| | | | - Júlio Cesar de Carvalho Baileiro
- College of Veterinary Medicine and Animal Science, University of São Paulo, Duque de Caxias Norte, 225, Pirassununga, São Paulo, 13.635-900, Brazil
| | - Luciana Freitas
- DB Genética de Suínos, Avenue Juscelino Kubitschek de Oliveira, 2094, Patos de Minas, MG, 38.706-000, Brazil
| | - Luiz Lehmann Coutinho
- Luiz de Queiroz College of Agriculture, University of São Paulo, Avenue Pádua Dias 11, Piracicaba, São Paulo, 13418-900, Brazil
| | - Heidge Fukumasu
- Faculty of Animal Science and Food Engineering, University of São Paulo, Campus Fernando Costa, Avenue Duque de Caxias Norte 225, Pirassununga, São Paulo, 13635-900, Brazil
| | - Severino Matias de Alencar
- Luiz de Queiroz College of Agriculture, University of São Paulo, Avenue Pádua Dias 11, Piracicaba, São Paulo, 13418-900, Brazil
| | - Albino Luchiari Filho
- Luiz de Queiroz College of Agriculture, University of São Paulo, Avenue Pádua Dias 11, Piracicaba, São Paulo, 13418-900, Brazil
| | - Aline Silva Mello Cesar
- Faculty of Animal Science and Food Engineering, University of São Paulo, Campus Fernando Costa, Avenue Duque de Caxias Norte 225, Pirassununga, São Paulo, 13635-900, Brazil. .,Luiz de Queiroz College of Agriculture, University of São Paulo, Avenue Pádua Dias 11, Piracicaba, São Paulo, 13418-900, Brazil.
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30
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de Souza MM, Niciura SCM, Rocha MIP, Pan Z, Zhou H, Bruscadin JJ, da Silva Diniz WJ, Afonso J, de Oliveira PSN, Mourão GB, Zerlotini A, Coutinho LL, Koltes JE, de Almeida Regitano LC. DNA methylation may affect beef tenderness through signal transduction in Bos indicus. Epigenetics Chromatin 2022; 15:15. [PMID: 35562812 PMCID: PMC9107245 DOI: 10.1186/s13072-022-00449-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 04/12/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Beef tenderness is a complex trait of economic importance for the beef industry. Understanding the epigenetic mechanisms underlying this trait may help improve the accuracy of breeding programs. However, little is known about epigenetic effects on Bos taurus muscle and their implications in tenderness, and no studies have been conducted in Bos indicus. RESULTS Comparing methylation profile of Bos indicus skeletal muscle with contrasting beef tenderness at 14 days after slaughter, we identified differentially methylated cytosines and regions associated with this trait. Interestingly, muscle that became tender beef had higher levels of hypermethylation compared to the tough group. Enrichment analysis of predicted target genes suggested that differences in methylation between tender and tough beef may affect signal transduction pathways, among which G protein signaling was a key pathway. In addition, different methylation levels were found associated with expression levels of GNAS, PDE4B, EPCAM and EBF3 genes. The differentially methylated elements correlated with EBF3 and GNAS genes overlapped CpG islands and regulatory elements. GNAS, a complex imprinted gene, has a key role on G protein signaling pathways. Moreover, both G protein signaling pathway and the EBF3 gene regulate muscle homeostasis, relaxation, and muscle cell-specificity. CONCLUSIONS We present differentially methylated loci that may be of interest to decipher the epigenetic mechanisms affecting tenderness. Supported by the previous knowledge about regulatory elements and gene function, the methylation data suggests EBF3 and GNAS as potential candidate genes and G protein signaling as potential candidate pathway associated with beef tenderness via methylation.
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Affiliation(s)
- Marcela Maria de Souza
- Empresa Brasileira de Pesquisa Agropecuária, Embrapa Pecuária Sudeste, São Carlos, Brazil.,Department of Animal Science, Iowa State University, Ames, USA
| | | | - Marina Ibelli Pereira Rocha
- Empresa Brasileira de Pesquisa Agropecuária, Embrapa Pecuária Sudeste, São Carlos, Brazil.,Department of Genetics and Evolution, Federal University of São Carlos, São Carlos, Brazil
| | - Zhangyuan Pan
- Department of Animal Science, University of California, Davis, CA, USA
| | - Huaijun Zhou
- Department of Animal Science, University of California, Davis, CA, USA
| | - Jennifer Jessica Bruscadin
- Empresa Brasileira de Pesquisa Agropecuária, Embrapa Pecuária Sudeste, São Carlos, Brazil.,Department of Genetics and Evolution, Federal University of São Carlos, São Carlos, Brazil
| | - Wellison Jarles da Silva Diniz
- Empresa Brasileira de Pesquisa Agropecuária, Embrapa Pecuária Sudeste, São Carlos, Brazil.,Department of Animal Science, Auburn University, Auburn, Alabama, USA
| | - Juliana Afonso
- Empresa Brasileira de Pesquisa Agropecuária, Embrapa Pecuária Sudeste, São Carlos, Brazil
| | | | - Gerson B Mourão
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Adhemar Zerlotini
- Embrapa Informática Agropecuária, Empresa Brasileira de Pesquisa Agropecuária, Campinas, Brazil
| | - Luiz Lehmann Coutinho
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | - James E Koltes
- Department of Animal Science, Iowa State University, Ames, USA
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31
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Giovanetti M, Slavov SN, Fonseca V, Wilkinson E, Tegally H, Patané JSL, Viala VL, San JE, Rodrigues ES, Santos EV, Aburjaile F, Xavier J, Fritsch H, Adelino TER, Pereira F, Leal A, de Melo Iani FC, de Carvalho Pereira G, Vazquez C, Mercedes Estigarribia Sanabria G, de Oliveira EC, Demarchi L, Croda J, dos Santos Bezerra R, de Lima LPO, Martins AJ, dos Santos Barros CR, Marqueze EC, de Souza Todao Bernardino J, Moretti DB, Brassaloti RA, de Lello Rocha Campos Cassano R, Mariani PDSC, Kitajima JP, Santos B, Proto-Siqueira R, Cantarelli VV, Tosta S, Nardy VB, de Oliveira da Silva LR, Kelly Astete Gómez M, Lima JG, Ribeiro AA, Guimarães NR, Watanabe LT, Da Silva LB, da Silva Ferreira R, da Penha MPF, Ortega MJ, de la Fuente AG, Villalba S, Torales J, Gamarra ML, Aquino C, Martínez Figueredo GP, Fava WS, Motta-Castro ARC, Venturini J, de Oliveira SMDVL, Gonçalves CCM, do Carmo Debur Rossa M, Becker GN, Presibella MM, Marques NQ, Riediger IN, Raboni S, Coelho GM, Cataneo AHD, Zanluca C, dos Santos CND, Assato PA, da Costa FADS, Poleti MD, Lesbon JCC, Mattos EC, Banho CA, Sacchetto L, Moraes MM, Grotto RMT, Souza-Neto JA, Nogueira ML, Fukumasu H, Coutinho LL, Calado RT, Neto RM, de Filippis AMB, da Cunha RV, Freitas C, Peterka CRL, de Fátima Rangel Fernandes C, de Araújo WN, do Carmo Said RF, Almiron M, de Albuquerque e Melo CFC, Lourenço J, de Oliveira T, Holmes EC, Haddad R, Sampaio SC, Elias MC, Kashima S, de Alcantara LCJ, Covas DT. Genomic epidemiology reveals the impact of national and international restrictions measures on the SARS-CoV-2 epidemic in Brazil. medRxiv 2022:2021.10.07.21264644. [PMID: 35378755 PMCID: PMC8978948 DOI: 10.1101/2021.10.07.21264644] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Brazil has experienced some of the highest numbers of COVID-19 cases and deaths globally and from May 2021 made Latin America a pandemic epicenter. Although SARS-CoV-2 established sustained transmission in Brazil early in the pandemic, important gaps remain in our understanding of virus transmission dynamics at the national scale. Here, we describe the genomic epidemiology of SARS-CoV-2 using near-full genomes sampled from 27 Brazilian states and a bordering country - Paraguay. We show that the early stage of the pandemic in Brazil was characterised by the co-circulation of multiple viral lineages, linked to multiple importations predominantly from Europe, and subsequently characterized by large local transmission clusters. As the epidemic progressed under an absence of effective restriction measures, there was a local emergence and onward international spread of Variants of Concern (VOC) and Variants Under Monitoring (VUM), including Gamma (P.1) and Zeta (P.2). In addition, we provide a preliminary genomic overview of the epidemic in Paraguay, showing evidence of importation from Brazil. These data reinforce the usefulness and need for the implementation of widespread genomic surveillance in South America as a toolkit for pandemic monitoring that provides a means to follow the real-time spread of emerging SARS-CoV-2 variants with possible implications for public health and immunization strategies.
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Affiliation(s)
- Marta Giovanetti
- Laboratório de Flavivírus, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Svetoslav Nanev Slavov
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
- Butantan Institute, São Paulo, Brazil
| | - Vagner Fonseca
- Laboratório de Flavivírus, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
- Coordenação Geral de Laboratórios de Saúde Pública/Secretaria de Vigilância em Saúde, Ministério da Saúde (CGLAB/SVS-MS) Brasília, Distrito Federal, Brazil
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University; Stellenbosch, South Africa
| | - Eduan Wilkinson
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University; Stellenbosch, South Africa
| | - Houriiyah Tegally
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University; Stellenbosch, South Africa
| | | | | | - James Emmanuel San
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University; Stellenbosch, South Africa
| | - Evandra Strazza Rodrigues
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Elaine Vieira Santos
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Flavia Aburjaile
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
- Laboratório Central de Saúde Pública do Estado de Minas Gerais, Fundac ão Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
| | - Joilson Xavier
- Laboratório de Flavivírus, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
- Laboratório Central de Saúde Pública do Estado de Minas Gerais, Fundac ão Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
| | - Hegger Fritsch
- Laboratório de Flavivírus, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
- Laboratório Central de Saúde Pública do Estado de Minas Gerais, Fundac ão Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
| | - Talita Emile Ribeiro Adelino
- Laboratório de Flavivírus, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
- Laboratório Central de Saúde Pública do Estado de Minas Gerais, Fundac ão Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
| | - Felicidade Pereira
- Laboratorio Central de Saude Publica da Bahia–LACEN-BA, Salvador, Bahia, Brazil
| | - Arabela Leal
- Laboratorio Central de Saude Publica da Bahia–LACEN-BA, Salvador, Bahia, Brazil
| | - Felipe Campos de Melo Iani
- Laboratório Central de Saúde Pública do Estado de Minas Gerais, Fundac ão Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
| | - Glauco de Carvalho Pereira
- Laboratório Central de Saúde Pública do Estado de Minas Gerais, Fundac ão Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
| | | | - Gladys Mercedes Estigarribia Sanabria
- Universidad Nacional del Caaguazú, Instituto Regional de Investigación en Salud
- Laboratorio de Biología Molecular, Hospital Regional de Coronel Oviedo
- Ministerio de Salud Pública y Bienestar Social
| | | | - Luiz Demarchi
- Laboratório Central de Saúde Pública do Estado de Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil
| | | | - Rafael dos Santos Bezerra
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | | | | | | | | | | | | | | | | | | | | | | | | | - Vlademir Vicente Cantarelli
- Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Universidade Feevale, Grupo Exame Laboratórios, Rio Grande do Sul, Brazil
| | - Stephane Tosta
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
- Laboratorio Central de Saude Publica da Bahia–LACEN-BA, Salvador, Bahia, Brazil
| | | | | | | | | | - Adriana Aparecida Ribeiro
- Laboratório Central de Saúde Pública do Estado de Minas Gerais, Fundac ão Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
| | - Natália Rocha Guimarães
- Laboratório Central de Saúde Pública do Estado de Minas Gerais, Fundac ão Ezequiel Dias, Belo Horizonte, Minas Gerais, Brazil
| | - Luiz Takao Watanabe
- Laboratório Central de Saúde Pública do Estado de Mato Grosso, Cuiabá, Brazil
| | | | | | | | | | | | | | - Juan Torales
- Laboratorio Central de Salud Pública, Asunción, Paraguay
| | | | | | - Gloria Patricia Martínez Figueredo
- Universidad Nacional del Caaguazú, Instituto Regional de Investigación en Salud
- Laboratorio de Biología Molecular, Hospital Regional de Coronel Oviedo
- Ministerio de Salud Pública y Bienestar Social
| | | | | | | | | | | | | | | | | | | | | | - Sonia Raboni
- Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, PR
| | | | | | - Camila Zanluca
- Laboratório de Virologia Molecular - Instituto Carlos Chagas/Fiocruz PR, Curitiba, PR
| | | | - Patricia Akemi Assato
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil
| | - Felipe Allan da Silva da Costa
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil
| | - Mirele Daiana Poleti
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, São Paulo, Brazil
| | - Jessika Cristina Chagas Lesbon
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, São Paulo, Brazil
| | - Elisangela Chicaroni Mattos
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, São Paulo, Brazil
| | - Cecilia Artico Banho
- Laboratório de Pesquisas em Virologia, Departamento de Doenças Dermatológicas, Infecciosas e Parasitárias, Faculdade de Medicina de São José do Rio Preto
| | - Lívia Sacchetto
- Laboratório de Pesquisas em Virologia, Departamento de Doenças Dermatológicas, Infecciosas e Parasitárias, Faculdade de Medicina de São José do Rio Preto
| | - Marília Mazzi Moraes
- Laboratório de Pesquisas em Virologia, Departamento de Doenças Dermatológicas, Infecciosas e Parasitárias, Faculdade de Medicina de São José do Rio Preto
| | - Rejane Maria Tommasini Grotto
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil
- Molecular Biology Laboratory, Applied Biotechnology Laboratory, Clinical Hospital of the Botucatu Medical School, Brazil
| | - Jayme A. Souza-Neto
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil
| | - Maurício Lacerda Nogueira
- Laboratório de Pesquisas em Virologia, Departamento de Doenças Dermatológicas, Infecciosas e Parasitárias, Faculdade de Medicina de São José do Rio Preto
| | - Heidge Fukumasu
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, São Paulo, Brazil
| | - Luiz Lehmann Coutinho
- University of São Paulo, Centro de Genômica Funcional da ESALQ, Piracicaba, SP, Brazil
| | - Rodrigo Tocantins Calado
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | | | | | | | - Carla Freitas
- Coordenação Geral de Laboratórios de Saúde Pública/Secretaria de Vigilância em Saúde, Ministério da Saúde (CGLAB/SVS-MS) Brasília, Distrito Federal, Brazil
| | - Cassio Roberto Leonel Peterka
- Coordenação Geral das Arboviroses, Secretaria de Vigilaçncia em Saúde/Ministério da Saúde (CGARB/SVS-MS), Brasília, Distrito Federal, Brazil
| | - Cássia de Fátima Rangel Fernandes
- Departamento de Imunização e Doenças Transmissíveisa/Secretaria de Vigilância em Saúde, Ministério da Saúde, Brasília, Distrito Federal, Brazil
| | | | | | - Maria Almiron
- Organização Pan-Americana da Saúde/Organização Mundial da Saúde, Brasília, Distrito Federal, Brazil
| | | | - José Lourenço
- Department of Zoology, Peter Medawar Building, University of Oxford, Oxford, UK
- Biosystems and Integrative Sciences Institute, Universidade de Lisboa, Lisboa, Portugal
| | - Tulio de Oliveira
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University; Stellenbosch, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Edward C. Holmes
- Sydney Institute for Infectious Diseases, School of Life and Environmental Sciences and School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
| | | | | | | | - Simone Kashima
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Luiz Carlos Junior de Alcantara
- Laboratório de Flavivírus, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Dimas Tadeu Covas
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
- Butantan Institute, São Paulo, Brazil
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32
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Giovanetti M, Fonseca V, Wilkinson E, Tegally H, San EJ, Althaus CL, Xavier J, Nanev Slavov S, Viala VL, Ranieri Jerônimo Lima A, Ribeiro G, Souza-Neto JA, Fukumasu H, Lehmann Coutinho L, Venancio da Cunha R, Freitas C, Campelo de A e Melo CF, Navegantes de Araújo W, Do Carmo Said RF, Almiron M, de Oliveira T, Coccuzzo Sampaio S, Elias MC, Covas DT, Holmes EC, Lourenço J, Kashima S, de Alcantara LCJ. Replacement of the Gamma by the Delta variant in Brazil: Impact of lineage displacement on the ongoing pandemic. Virus Evol 2022; 8:veac024. [PMID: 35371559 PMCID: PMC8971541 DOI: 10.1093/ve/veac024] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 03/01/2022] [Accepted: 03/17/2022] [Indexed: 11/14/2022] Open
Abstract
The coronavirus disease 2019 (COVID-19) epidemic in Brazil was driven mainly by the spread of Gamma (P.1), a locally emerged variant of concern (VOC) that was first detected in early January 2021. This variant was estimated to be responsible for more than 96 per cent of cases reported between January and June 2021, being associated with increased transmissibility and disease severity, a reduction in neutralization antibodies and effectiveness of treatments or vaccines, and diagnostic detection failure. Here we show that, following several importations predominantly from the USA, the Delta variant rapidly replaced Gamma after July 2021. However, in contrast to what was seen in other countries, the rapid spread of Delta did not lead to a large increase in the number of cases and deaths reported in Brazil. We suggest that this was likely due to the relatively successful early vaccination campaign coupled with natural immunity acquired following prior infection with Gamma. Our data reinforce reports of the increased transmissibility of the Delta variant and, considering the increasing concern due to the recently identified Omicron variant, argues for the necessity to strengthen genomic monitoring on a national level to quickly detect the emergence and spread of other VOCs that might threaten global health.
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Affiliation(s)
| | | | - Eduan Wilkinson
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, 238 Mazisi Kunene Rd, Glenwood, Durban 4041, South Africa,Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Banhoek Road & Joubert Street, Stellenbosch 7600, South Africa
| | - Houriiyah Tegally
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, 238 Mazisi Kunene Rd, Glenwood, Durban 4041, South Africa,Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Banhoek Road & Joubert Street, Stellenbosch 7600, South Africa
| | - Emmanuel James San
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, 238 Mazisi Kunene Rd, Glenwood, Durban 4041, South Africa,Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Banhoek Road & Joubert Street, Stellenbosch 7600, South Africa
| | - Christian L Althaus
- Institute of Social and Preventive Medicine, University of Bern, Hochschulstrasse 6, Bern 3012, Switzerland
| | - Joilson Xavier
- Laboratorio de Genética Celular e Molecular, Instituto de Ciências Biologicas, Universidade Federal de Minas Gerais, Av. Pres. Antônio Carlos, 6627 - Pampulha, Belo Horizonte, Minas Gerais 31270-901, Brazil,Laboratório Central de Saúde Pública do Estado de Minas Gerais, Fundação Ezequiel Dias, Rua Conde Pereira Carneiro, 80 Gameleira, Belo Horizonte, Minas Gerais 30510-010, Brazil
| | - Svetoslav Nanev Slavov
- Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, University of São Paulo, R. Quintino Bocaiuva, nº 470 - Centro, Ribeirão Preto, SP 14015-160, Brazil
| | - Vincent Louis Viala
- Butantan Institute, Avenida Doutor Vital Brasil, 1500 - Butantã, Sao Paulo - SP, Brazil
| | | | - Gabriela Ribeiro
- Butantan Institute, Avenida Doutor Vital Brasil, 1500 - Butantã, Sao Paulo - SP, Brazil
| | - Jayme A Souza-Neto
- School of Agricultural Sciences, São Paulo State University (UNESP), R. Quintino Bocaiuva, nº 470, Botucatu 05508-900, Brazil
| | | | - Luiz Lehmann Coutinho
- Centro de Genômica Funcional da ESALQ, University of São Paulo, R. Quintino Bocaiuva, nº 470, Piracicaba, SP, Brazil
| | - Rivaldo Venancio da Cunha
- Bio-Manguinhos, Fundação Oswaldo Cruz, Rio de Janeiro, Av. Brasil, 4365, Rio de Janeiro 21040-360, Brazil
| | - Carla Freitas
- Coordenacão Geral dos Laboratórios de Saúde Publica/Secretaria de Vigilância em Saúde, Ministério da Saúde (CGLAB/SVS-MS), Esplanada dos Ministérios - Bloco G - Edifício Sede - CEP, Brasília, Distrito Federal 70058-900, Brazil
| | - Carlos F Campelo de A e Melo
- Organização Pan-Americana da Saúde/Organização Mundial da Saúde, Lote 19 - Avenida das Nações, SEN - Asa Norte, Brasília, Distrito Federal 70312-970, Brazil
| | - Wildo Navegantes de Araújo
- Organização Pan-Americana da Saúde/Organização Mundial da Saúde, Lote 19 - Avenida das Nações, SEN - Asa Norte, Brasília, Distrito Federal 70312-970, Brazil
| | - Rodrigo Fabiano Do Carmo Said
- Organização Pan-Americana da Saúde/Organização Mundial da Saúde, Lote 19 - Avenida das Nações, SEN - Asa Norte, Brasília, Distrito Federal 70312-970, Brazil
| | - Maria Almiron
- Organização Pan-Americana da Saúde/Organização Mundial da Saúde, Lote 19 - Avenida das Nações, SEN - Asa Norte, Brasília, Distrito Federal 70312-970, Brazil
| | | | | | - Maria Carolina Elias
- Department of Zoology, Peter Medawar Building, University of Oxford, 1a Mansfield Rd, Oxford OX1 3SZ, UK
| | - Dimas Tadeu Covas
- Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, University of São Paulo, R. Quintino Bocaiuva, nº 470 - Centro, Ribeirão Preto, SP 14015-160, Brazil,Butantan Institute, Avenida Doutor Vital Brasil, 1500 - Butantã, Sao Paulo - SP, Brazil
| | | | - José Lourenço
- Department of Zoology, Peter Medawar Building, University of Oxford, 1a Mansfield Rd, Oxford OX1 3SZ, UK,Biosystems and Integrative Sciences Institute (BioISI), Universidade de Lisboa, Campo Grande, Lisbon 1749-016, Portugal
| | - Simone Kashima
- Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, University of São Paulo, R. Quintino Bocaiuva, nº 470 - Centro, Ribeirão Preto, SP 14015-160, Brazil
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33
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Copola AGL, Dos Santos ÍGD, Coutinho LL, Del-Bem LEV, de Almeida Campos-Junior PH, da Conceição IMCA, Nogueira JM, do Carmo Costa A, Silva GAB, Jorge EC. Transcriptomic characterization of the molecular mechanisms induced by RGMa during skeletal muscle nuclei accretion and hypertrophy. BMC Genomics 2022; 23:188. [PMID: 35255809 PMCID: PMC8902710 DOI: 10.1186/s12864-022-08396-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 02/15/2022] [Indexed: 12/02/2022] Open
Abstract
Background The repulsive guidance molecule a (RGMa) is a GPI-anchor axon guidance molecule first found to play important roles during neuronal development. RGMa expression patterns and signaling pathways via Neogenin and/or as BMP coreceptors indicated that this axon guidance molecule could also be working in other processes and diseases, including during myogenesis. Previous works from our research group have consistently shown that RGMa is expressed in skeletal muscle cells and that its overexpression induces both nuclei accretion and hypertrophy in muscle cell lineages. However, the cellular components and molecular mechanisms induced by RGMa during the differentiation of skeletal muscle cells are poorly understood. In this work, the global transcription expression profile of RGMa-treated C2C12 myoblasts during the differentiation stage, obtained by RNA-seq, were reported. Results RGMa treatment could modulate the expression pattern of 2,195 transcripts in C2C12 skeletal muscle, with 943 upregulated and 1,252 downregulated. Among them, RGMa interfered with the expression of several RNA types, including categories related to the regulation of RNA splicing and degradation. The data also suggested that nuclei accretion induced by RGMa could be due to their capacity to induce the expression of transcripts related to ‘adherens junsctions’ and ‘extracellular-cell adhesion’, while RGMa effects on muscle hypertrophy might be due to (i) the activation of the mTOR-Akt independent axis and (ii) the regulation of the expression of transcripts related to atrophy. Finally, RGMa induced the expression of transcripts that encode skeletal muscle structural proteins, especially from sarcolemma and also those associated with striated muscle cell differentiation. Conclusions These results provide comprehensive knowledge of skeletal muscle transcript changes and pathways in response to RGMa. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08396-w.
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Affiliation(s)
- Aline Gonçalves Lio Copola
- Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Av Antonio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31.270-901, Brasil
| | - Íria Gabriela Dias Dos Santos
- Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Av Antonio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31.270-901, Brasil
| | - Luiz Lehmann Coutinho
- Departamento de Zootecnia, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Piracicaba, Brasil
| | - Luiz Eduardo Vieira Del-Bem
- Departamento de Botânica, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brasil
| | | | | | - Júlia Meireles Nogueira
- Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Av Antonio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31.270-901, Brasil
| | - Alinne do Carmo Costa
- Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Av Antonio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31.270-901, Brasil
| | - Gerluza Aparecida Borges Silva
- Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Av Antonio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31.270-901, Brasil
| | - Erika Cristina Jorge
- Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Av Antonio Carlos, 6627, Pampulha, Belo Horizonte, Minas Gerais, 31.270-901, Brasil.
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Lima ARJ, Ribeiro G, Viala VL, Lima LPOD, Martins AJ, Barros CRDS, Marqueze EC, Bernardino JDST, Moretti DB, Rodrigues ES, Santos EV, Brassaloti RA, Cassano RDLRC, Mariani PDSC, Clemente LG, Assato PA, Costa FADSD, Poleti MD, Lesbon JCC, Mattos EC, Banho CA, Sacchetto L, Moraes MM, Palmieri M, Martininghi M, Caldeira LAV, Silva FEVD, Grotto RMT, Souza-Neto JA, Giovanetti M, Alcantara LCJ, Nogueira ML, Fukumasu H, Coutinho LL, Kashima S, Neto RM, Covas DT, Slavov SN, Sampaio SC, Elias MC. SARS-COV-2 GENOMIC MONITORING IN THE STATE OF SÃO PAULO UNVEILS TWO EMERGING AY.43 SUBLINEAGES. J Med Virol 2022; 94:3394-3398. [PMID: 35229308 PMCID: PMC9088347 DOI: 10.1002/jmv.27674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 01/24/2022] [Accepted: 02/21/2022] [Indexed: 11/17/2022]
Abstract
Delta VOC is highly diverse with more than 120 sublineages already described as of November 30, 2021. In this study, through active monitoring of circulating severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2) variants in the state of São Paulo, southeast Brazil, we identified two emerging sublineages from the ancestral AY.43 strain which were classified as AY.43.1 and AY.43.2. These sublineages were defined by the following characteristic nonsynonymous mutations ORF1ab:A4133V and ORF3a:T14I for the AY.43.1 and ORF1ab:G1155C for the AY.43.2 and our analysis reveals that they might have a likely‐Brazilian origin. Much is still unknown regarding their dissemination in the state of São Paulo and Brazil as well as their potential impact on the ongoing vaccination process. However, the results obtained in this study reinforce the importance of genomic surveillance activity for timely identification of emerging SARS‐CoV‐2 variants which can impact the ongoing SARS‐CoV‐2 vaccination and public health policies.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Evandra Strazza Rodrigues
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Elaine Vieira Santos
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | | | | | | | - Luan Gaspar Clemente
- University of São Paulo, Centro de Genômica Funcional da ESALQ, Piracicaba, SP, Brazil
| | - Patricia Akemi Assato
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil
| | - Felipe Allan da Silva da Costa
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil
| | - Mirele Daiana Poleti
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil
| | - Jessika Cristina Chagas Lesbon
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil
| | - Elisangela Chicaroni Mattos
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil
| | - Cecilia Artico Banho
- Medicine School of São José do Rio Preto (FAMERP), São José do Rio Preto, São Paulo, Brazil
| | - Lívia Sacchetto
- Medicine School of São José do Rio Preto (FAMERP), São José do Rio Preto, São Paulo, Brazil
| | - Marília Mazzi Moraes
- Medicine School of São José do Rio Preto (FAMERP), São José do Rio Preto, São Paulo, Brazil
| | - Melissa Palmieri
- Coordenação de Vigilância em Saúde - Secretaria Municipal da Saúde, São Paulo, Brazil
| | | | | | | | - Rejane Maria Tommasini Grotto
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil.,Molecular Biology Laboratory, Applied Biotechnology Laboratory, Clinical Hospital of the Botucatu Medical School, Brazil
| | - Jayme A Souza-Neto
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil
| | - Marta Giovanetti
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.,Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro, Brazil
| | - Luiz Carlos Junior Alcantara
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.,Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro, Brazil
| | | | - Heidge Fukumasu
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil
| | - Luiz Lehmann Coutinho
- University of São Paulo, Centro de Genômica Funcional da ESALQ, Piracicaba, SP, Brazil
| | - Simone Kashima
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | | | - Dimas Tadeu Covas
- Butantan Institute, São Paulo, Brazil.,University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Svetoslav Nanev Slavov
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
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Rezaei S, Uffenorde J, Gimm O, Hosseinpour Feizi MA, Miemczyk S, Coutinho LL, Jensen P, Guerrero-Bosagna C, Pértille F. GBS-MeDIP: A protocol for parallel identification of genetic and epigenetic variation in the same reduced fraction of genomes across individuals. STAR Protoc 2022; 3:101202. [PMID: 35257114 PMCID: PMC8897576 DOI: 10.1016/j.xpro.2022.101202] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
The GBS-MeDIP protocol combines two previously described techniques, Genotype-by-Sequencing (GBS) and Methylated-DNA-Immunoprecipitation (MeDIP). Our method allows for parallel and cost-efficient interrogation of genetic and methylomic variants in the DNA of many reduced genomes, taking advantage of the barcoding of DNA samples performed in the GBS and the subsequent creation of DNA pools, then used as an input for the MeDIP. The GBS-MeDIP is particularly suitable to identify genetic and methylomic biomarkers when resources for whole genome interrogation are lacking. Our protocol combines two well-known techniques, GBS and MeDIP. The GBS-MeDIP allows for parallel interrogation of genetic/methylomic variants. Allows for cost-efficient analysis of reduced genomes from multiple individuals. Ideal for the identification of genetic and/or methylomic markers at reduced cost.
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Affiliation(s)
- Shiva Rezaei
- Department of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz 5166616471, Iran
- Avian Behavioral Genomics and Physiology Group, Department of Physics, Chemistry and Biology (IFM), Linköping University, 581 83 Linköping, Sweden
| | - Julia Uffenorde
- Department of Surgery and Department of Biomedical and Clinical Sciences (BKV), Linköping University, 581 83 Linköping, Sweden
| | - Oliver Gimm
- Department of Surgery and Department of Biomedical and Clinical Sciences (BKV), Linköping University, 581 83 Linköping, Sweden
| | | | - Stefan Miemczyk
- Avian Behavioral Genomics and Physiology Group, Department of Physics, Chemistry and Biology (IFM), Linköping University, 581 83 Linköping, Sweden
| | - Luiz Lehmann Coutinho
- Environmental Toxicology Program, Department of Organismal Biology, Uppsala University, 752 36 Uppsala, Sweden
| | - Per Jensen
- Avian Behavioral Genomics and Physiology Group, Department of Physics, Chemistry and Biology (IFM), Linköping University, 581 83 Linköping, Sweden
| | - Carlos Guerrero-Bosagna
- Avian Behavioral Genomics and Physiology Group, Department of Physics, Chemistry and Biology (IFM), Linköping University, 581 83 Linköping, Sweden
- Environmental Toxicology Program, Department of Organismal Biology, Uppsala University, 752 36 Uppsala, Sweden
- Corresponding author
| | - Fábio Pértille
- Department of Surgery and Department of Biomedical and Clinical Sciences (BKV), Linköping University, 581 83 Linköping, Sweden
- Avian Behavioral Genomics and Physiology Group, Department of Physics, Chemistry and Biology (IFM), Linköping University, 581 83 Linköping, Sweden
- Environmental Toxicology Program, Department of Organismal Biology, Uppsala University, 752 36 Uppsala, Sweden
- Animal Biotechnology Laboratory, Animal Science Department, University of São Paulo (USP)/ Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo 13418-900, Brazil
- Corresponding author
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Ladeira GC, Pilonetto F, Fernandes AC, Bóscollo PP, Dauria BD, Titto CG, Coutinho LL, E Silva FF, Pinto LFB, Mourão GB. CNV detection and their association with growth, efficiency and carcass traits in Santa Inês sheep. J Anim Breed Genet 2022; 139:476-487. [PMID: 35218589 DOI: 10.1111/jbg.12671] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 01/04/2022] [Accepted: 02/09/2022] [Indexed: 11/30/2022]
Abstract
Copy number variations (CNV) are an important source of genetic variation. CNV has been increasingly studied and frequently associated with diseases and productive traits in livestock animals. However, CNV-based genome-wide association studies (GWAS) in Santa Inês sheep, one of the principal sheep breeds in Brazil, have not yet been reported. Thus, the aim of this study was to investigate the association between CNV and growth, efficiency and carcass traits in sheep. The Illumina OvineSNP50 BeadChip array was used to detect CNV in 491 Santa Inês individuals. Then, CNV-based GWAS was performed with a linear mixed model approach considering a genomic relationship matrix, for ten traits: (1) growth: body weight at three (W3) and six (W6) months of age; (2) efficiency: residual feed intake (RFI) and feed efficiency (FE) and (3) carcass: external carcass length (ECL), leg length (LL), carcass yield (CY), commercial cuts weight (CCW), loin eye area (LEA) and subcutaneous fat thickness (SFT). We identified 1,167 autosomal CNV in 438 sheep, with 294 non-redundant CNV, ranging from 21.8 to 861.9 kb, merged into 216 distinct copy number variation regions (CNVRs). One significant CNV segment (pFDR -value<0.05) in OAR3 was associated with CY, while another significant CNV in OAR6 was associated with RFI. Additionally, another 5 CNV segments were considered relevant for investigation in the future studies. The significant segments overlapped 4 QTLs and spanned 8 genes, including the SPAST, TGFA and ADGRL3 genes, involved in cell differentiation and energy metabolism. Therefore, the results of the present study increase knowledge about CNV in sheep, their possible impacts on productive traits, and provide information for future investigations, being especially useful for those interested in structural variations in the sheep genome.
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Affiliation(s)
- Giovanni Coelho Ladeira
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ/USP), Piracicaba, Brazil
| | - Fabrício Pilonetto
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ/USP), Piracicaba, Brazil
| | - Anna Carolina Fernandes
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ/USP), Piracicaba, Brazil
| | - Paola Pérez Bóscollo
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ/USP), Piracicaba, Brazil
| | - Brayan Dias Dauria
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ/USP), Piracicaba, Brazil
| | - Cristiane Gonçalves Titto
- Department of Animal Science, College of Animal Science and Food Engineering, University of São Paulo (FZEA/USP), Pirassununga, Brazil
| | - Luiz Lehmann Coutinho
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ/USP), Piracicaba, Brazil
| | | | - Luís Fernando Batista Pinto
- Department of Animal Science, College of Veterinary Medicine and Animal Science, Federal University of Bahia, Salvador, Brazil
| | - Gerson Barreto Mourão
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ/USP), Piracicaba, Brazil
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Dauria BD, Sigdel A, Petrini J, Bóscollo PP, Pilonetto F, Salvian M, Rezende FM, Pedrosa VB, Bittar CMM, Machado PF, Coutinho LL, Wiggans GR, Mourão GB. Genetic effects of heat stress on milk fatty acids in a Brazilian Holstein cattle. J Dairy Sci 2022; 105:3296-3305. [PMID: 35094861 DOI: 10.3168/jds.2021-20914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 10/13/2021] [Indexed: 11/19/2022]
Abstract
The present study aimed to estimate covariance components of milk fatty acids (FA) and to compare the genomic estimated breeding values under general and heat-stress effects. Data consisted of 38,762 test-day records from 6,344 Holstein cows obtained from May 2012 through January 2018 on 4 dairy herds from Brazil. Single-trait repeatability test-day models with random regressions as a function of temperature-humidity index values were used for genetic analyses. The models included contemporary groups, parity order (1-6), and days in milk classes as fixed effects, and general and thermotolerance additive genetic and permanent environmental as random effects. Notably, differences in heritability estimates between environments (general and heat stress) increased (0.03 to 0.06) for unsaturated FA traits, such as unsaturated, monounsaturated, and polyunsaturated, at higher heat-stress levels. In contrast, heritability estimated between environments for saturated FA traits, including saturated FA, palmitic acid (C16:0), and stearic acid (C18:0) did not observe significant differences between environments. In addition, our study revealed negative genetic correlations between general and heat-stress additive genetic effects (antagonistic effect) for the saturated FA, C16:0, C18:0, and C18:1, which ranged from -0.007 to -0.32. Spearman's ranking correlation between genomic estimated breeding values ranged from -0.27 to 0.99. Results indicated a moderate to strong interaction of genotype by the environment for most FA traits comparing a heat-stress environment with thermoneutral conditions. Our findings point out novel opportunities to explore the use of FA milk profile and heat-stress models.
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Affiliation(s)
- B D Dauria
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - A Sigdel
- Department of Animal and Dairy Science, University of Wisconsin, Madison 53706
| | - J Petrini
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - P P Bóscollo
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - F Pilonetto
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - M Salvian
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - F M Rezende
- Department of Animal Sciences, University of Florida, Gainesville 32608
| | - V B Pedrosa
- Department of Animal Science, State University of Ponta Grossa, Ponta Grossa, PR 84030-900, Brazil
| | - C M M Bittar
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - P F Machado
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - L L Coutinho
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil
| | - G R Wiggans
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705-2350
| | - G B Mourão
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900, Brazil.
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Slavov SN, Bezerra RDS, Rodrigues ES, Santos EV, Borges JS, de la Roque DGL, Patané JSL, Lima ARJ, Ribeiro G, Viala VL, de Lima LPO, Martins AJ, Dos Santos Barros CR, Marqueze EC, Bernardino JDST, Moretti DB, Brassaloti RA, Cassano RDLRC, Mariani PDSC, Kitajima JP, Santos B, Assato PA, da Silva da Costa FA, Poleti MD, Lesbon JCC, Mattos EC, Banho CA, Sacchetto L, Moraes MM, Grotto RMT, Souza-Neto JA, Giovanetti M, de Alcantara LCJ, Nogueira ML, Fukumasu H, Coutinho LL, Calado RT, Neto RM, Covas DT, Coccuzzo Sampaio S, Elias MC, Kashima S. Genomic monitoring of the SARS-CoV-2 B1.1.7 (WHO VOC Alpha) in the Sao Paulo state, Brazil. Virus Res 2022; 308:198643. [PMID: 34848213 PMCID: PMC8636783 DOI: 10.1016/j.virusres.2021.198643] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 11/16/2021] [Accepted: 11/18/2021] [Indexed: 12/22/2022]
Abstract
The SARS-CoV-2 alpha VOC (also known as lineage B.1.1.7) initially described in the autumn, 2020 in UK, rapidly became the dominant lineage across much of Europe. Despite multiple studies reporting molecular evidence suggestive of its circulation in Brazil, much is still unknown about its genomic diversity in the state of São Paulo, the main Brazilian economic and transportation hub. To get more insight regarding its transmission dynamics into the State we performed phylogenetic analysis on all alpha VOC strains obtained between February and August 2021 from the Sao Paulo state Network for Pandemic Alert of Emerging SARS-CoV-2 variants. The performed phylogenetic analysis showed that most of the alpha VOC genomes were interspersed with viral strains sampled from different Brazilian states and other countries suggesting that multiple independent Alpha VOC introductions from Brazil and overseas have occurred in the São Paulo State over time. Nevertheless, large monophyletic clusters were also observed especially from the Central-West part of the São Paulo State (the city of Bauru) and the metropolitan region of the São Paulo city. Our results highlight the Alpha VOC molecular epidemiology in the São Paulo state and reinforce the need for continued genomic surveillance strategies for the real-time monitoring of potential emerging SARS-CoV-2 variants during the ever-growing vaccination process.
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Affiliation(s)
- Svetoslav Nanev Slavov
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil; Butantan Institute, São Paulo, Brazil.
| | - Rafael Dos Santos Bezerra
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Evandra Strazza Rodrigues
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Elaine Vieira Santos
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Joseane Serrano Borges
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Patricia Akemi Assato
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil
| | - Felipe Allan da Silva da Costa
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil
| | - Mirele Daiana Poleti
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil
| | - Jessika Cristina Chagas Lesbon
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil
| | - Elisangela Chicaroni Mattos
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil
| | - Cecilia Artico Banho
- Medicine School of São José do Rio Preto (FAMERP), São José do Rio Preto, São Paulo 15090-000, Brazil
| | - Lívia Sacchetto
- Medicine School of São José do Rio Preto (FAMERP), São José do Rio Preto, São Paulo 15090-000, Brazil
| | - Marília Mazzi Moraes
- Medicine School of São José do Rio Preto (FAMERP), São José do Rio Preto, São Paulo 15090-000, Brazil
| | - Rejane Maria Tommasini Grotto
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil; Molecular Biology Laboratory, Applied Biotechnology Laboratory, Clinical Hospital of the Botucatu Medical School, Brazil
| | - Jayme A Souza-Neto
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil
| | - Marta Giovanetti
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil; Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro, Brazil
| | - Luiz Carlos Junior de Alcantara
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil; Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro, Brazil
| | - Maurício Lacerda Nogueira
- Medicine School of São José do Rio Preto (FAMERP), São José do Rio Preto, São Paulo 15090-000, Brazil
| | - Heidge Fukumasu
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo, Brazil
| | | | - Rodrigo Tocantins Calado
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil; University of São Paulo, Ribeirão Preto Medical School, Ribeirão Preto, SP, Brazil
| | | | - Dimas Tadeu Covas
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil; Butantan Institute, São Paulo, Brazil; University of São Paulo, Ribeirão Preto Medical School, Ribeirão Preto, SP, Brazil
| | | | | | - Simone Kashima
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
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Colombo J, Moschetta-Pinheiro MG, Novais AA, Stoppe BR, Bonini ED, Gonçalves FM, Fukumasu H, Coutinho LL, Chuffa LGDA, Zuccari DAPDC. Liquid Biopsy as a Diagnostic and Prognostic Tool for Women and Female Dogs with Breast Cancer. Cancers (Basel) 2021; 13:5233. [PMID: 34680380 PMCID: PMC8533706 DOI: 10.3390/cancers13205233] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 09/10/2021] [Accepted: 09/17/2021] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Breast cancer (BC) is the malignant neoplasm with the highest mortality rate in women and female dogs are good models to study BC. OBJECTIVE We investigated the efficacy of liquid biopsy to detect gene mutations in the diagnosis and follow-up of women and female dogs with BC. MATERIALS AND METHODS In this study, 57 and 37 BC samples were collected from women and female dogs, respectively. After core biopsy and plasma samples were collected, the DNA and ctDNA of the tumor fragments and plasma were processed for next generation sequencing (NGS) assay. After preprocessing of the data, they were submitted to the Genome Analysis ToolKit (GATK). RESULTS In women, 1788 variants were identified in tumor fragments and 221 variants in plasma; 66 variants were simultaneously detected in tumors and plasma. Conversely, in female dogs, 1430 variants were found in plasma and 695 variants in tumor fragments; 59 variants were simultaneously identified in tumors and plasma. The most frequently mutated genes in the tumor fragments of women were USH2A, ATM, and IGF2R; in female dogs, they were USH2A, BRCA2, and RRM2. Plasma of women showed the most frequent genetic variations in the MAP3K1, BRCA1, and GRB7 genes, whereas plasma from female dogs had variations in the NF1, ERBB2, and KRT17 genes. Mutations in the AKT1, PIK3CA, and BRIP genes were associated with tumor recurrence, with a highly pathogenic variant in PIK3CA being particularly prominent. We also detected a gain-of-function mutation in the GRB7, MAP3K1, and MLH1 genes. CONCLUSION Liquid biopsy is useful to identify specific genetic variations at the beginning of BC manifestation and may be accompanied over the entire follow-up period, thereby supporting the clinicians in refining interventions.
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Affiliation(s)
- Jucimara Colombo
- Laboratory of Molecular Investigation in Cancer (LIMC), Department of Molecular Biology, Faculdade de Medicina de São José, São José do Rio Preto 15090-000, Brazil; (J.C.); (M.G.M.-P.); (A.A.N.); (B.R.S.); (E.D.B.); (F.M.G.)
| | - Marina Gobbe Moschetta-Pinheiro
- Laboratory of Molecular Investigation in Cancer (LIMC), Department of Molecular Biology, Faculdade de Medicina de São José, São José do Rio Preto 15090-000, Brazil; (J.C.); (M.G.M.-P.); (A.A.N.); (B.R.S.); (E.D.B.); (F.M.G.)
| | - Adriana Alonso Novais
- Laboratory of Molecular Investigation in Cancer (LIMC), Department of Molecular Biology, Faculdade de Medicina de São José, São José do Rio Preto 15090-000, Brazil; (J.C.); (M.G.M.-P.); (A.A.N.); (B.R.S.); (E.D.B.); (F.M.G.)
| | - Bruna Ribeiro Stoppe
- Laboratory of Molecular Investigation in Cancer (LIMC), Department of Molecular Biology, Faculdade de Medicina de São José, São José do Rio Preto 15090-000, Brazil; (J.C.); (M.G.M.-P.); (A.A.N.); (B.R.S.); (E.D.B.); (F.M.G.)
| | - Enrico Dumbra Bonini
- Laboratory of Molecular Investigation in Cancer (LIMC), Department of Molecular Biology, Faculdade de Medicina de São José, São José do Rio Preto 15090-000, Brazil; (J.C.); (M.G.M.-P.); (A.A.N.); (B.R.S.); (E.D.B.); (F.M.G.)
| | - Francine Moraes Gonçalves
- Laboratory of Molecular Investigation in Cancer (LIMC), Department of Molecular Biology, Faculdade de Medicina de São José, São José do Rio Preto 15090-000, Brazil; (J.C.); (M.G.M.-P.); (A.A.N.); (B.R.S.); (E.D.B.); (F.M.G.)
| | - Heidge Fukumasu
- Laboratory of Comparative and Translational Oncology (LOCT), Department of Veterinary Medicine, Faculty of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga 13635-900, Brazil;
| | - Luiz Lehmann Coutinho
- Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba 13418-900, Brazil;
| | - Luiz Gustavo de Almeida Chuffa
- Department of Structural and Functional Biology, Institute of Biosciences of Botucatu, Universidade Estadual Paulista, Botucatu 18618-689, Brazil;
| | - Debora Aparecida Pires de Campos Zuccari
- Laboratory of Molecular Investigation in Cancer (LIMC), Department of Molecular Biology, Faculdade de Medicina de São José, São José do Rio Preto 15090-000, Brazil; (J.C.); (M.G.M.-P.); (A.A.N.); (B.R.S.); (E.D.B.); (F.M.G.)
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Petry B, Moreira GCM, Copola AGL, de Souza MM, da Veiga FC, Jorge EC, de Oliveira Peixoto J, Ledur MC, Koltes JE, Coutinho LL. SAP30 Gene Is a Probable Regulator of Muscle Hypertrophy in Chickens. Front Genet 2021; 12:709937. [PMID: 34646299 PMCID: PMC8502938 DOI: 10.3389/fgene.2021.709937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 08/20/2021] [Indexed: 11/13/2022] Open
Abstract
Animals with muscle hypertrophy phenotype are targeted by the broiler industry to increase the meat production and the quality of the final product. Studies characterizing the molecular machinery involved with these processes, such as quantitative trait loci studies, have been carried out identifying several candidate genes related to this trait; however, validation studies of these candidate genes in cell culture is scarce. The aim of this study was to evaluate SAP30 as a candidate gene for muscle development and to validate its function in cell culture in vitro. The SAP30 gene was downregulated in C2C12 muscle cell culture using siRNA technology to evaluate its impact on morphometric traits and gene expression by RNA-seq analysis. Modulation of SAP30 expression increased C2C12 myotube area, indicating a role in muscle hypertrophy. RNA-seq analysis identified several upregulated genes annotated in muscle development in treated cells (SAP30-knockdown), corroborating the role of SAP30 gene in muscle development regulation. Here, we provide experimental evidence of the involvement of SAP30 gene as a regulator of muscle cell hypertrophy.
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Affiliation(s)
- Bruna Petry
- Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, Brazil
| | | | - Aline Gonçalves Lio Copola
- Department of Morphology, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil
| | | | - Fernanda Cristina da Veiga
- Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, Brazil
| | - Erika Cristina Jorge
- Department of Morphology, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil
| | | | | | - James E Koltes
- Animal Science Department, Iowa State University, Ames, IA, United States
| | - Luiz Lehmann Coutinho
- Animal Science Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, Brazil
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41
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de Souza TC, de Souza TC, Mourão GB, Lehmann Coutinho L, Rovadoscki GA, Pedrosa VB, Costa RB, de Camargo GMF, de Carvalho GGP, Pinto LFB. Genome-wide association for plasma albumin concentration in sheep. Anim Genet 2021; 52:898-900. [PMID: 34590327 DOI: 10.1111/age.13144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/17/2021] [Indexed: 11/28/2022]
Affiliation(s)
- Taiana Cortez de Souza
- Federal University of Bahia - 500, Av. Adhemar de Barros, Salvador, BA, 40170110, Brazil
| | | | | | | | | | - Victor Breno Pedrosa
- State University of Ponta Grossa - 4748, Av. General Carlos Cavalcanti, Ponta Grossa, PR, 84030900, Brazil
| | - Raphael Bermal Costa
- Federal University of Bahia - 500, Av. Adhemar de Barros, Salvador, BA, 40170110, Brazil
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Virginio Junior GF, Reis ME, da Silva AP, de Toledo AF, Cezar AM, Mendes LW, Greco L, Montenegro H, Coutinho LL, Bittar CMM. Does algae β-glucan affect the fecal bacteriome in dairy calves? PLoS One 2021; 16:e0258069. [PMID: 34591937 PMCID: PMC8483308 DOI: 10.1371/journal.pone.0258069] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 09/16/2021] [Indexed: 12/13/2022] Open
Abstract
β-glucans has been reported to be associated with many health-promoting and improvements in animal performance, however, information about their effects on the bacterial community remains unknown. This study aimed to investigate how the addition of β-glucans can affect the fecal bacterial community with possible consequences on animal growth and health. For this, newborn Holstein calves (n = 14) were individually housed in tropical shelters and blocked according to sex, date, and weight at birth and randomly assigned to one of the following treatments: (1) Control: milk replacer (14% solids, 24% CP, 18.5% fat); (2) β-glucans: milk replacer supplemented with β-glucans (2 g/d). All calves were bucket fed 6 L/d of milk replacer and received water and starter concentrate ad libitum starting on d 2. To evaluate the bacteriome, fecal samples were collected at weeks 1, 2, 4, and 8. The bacterial community was assessed through sequencing of the V3-V4 region of the 16S rRNA gene on the Illumina MiSeq platform and analyzed using the DADA2 pipeline. No differences for Shannon and Chao1 indexes were observed for treatments, but both indexes increased with age (P < 0.001). There were dissimilarities in the structure of the bacterial community during the pre-weaning period (P = 0.01). In a deeper taxonomic level, Collinsella (Actinobacteriota), Prevotella (Bacteroidota), and Lactobacillus (Firmicutes) were the most abundant genera (9.84, 9.54, and 8.82% of the sequences, respectively). β-glucans promoted a higher abundance of Alloprevotella and Holdemanella, which may indicate a beneficial effect of supplementation on dairy calves. The bacterial community was highly correlated with the fecal score at weeks 1 and 2 and with starter concentrate intake at week 8. In conclusion, algae β-glucan supplementation could be beneficial to fecal bacteriome and consequently to the health and performance of dairy calves.
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Affiliation(s)
- Gercino Ferreira Virginio Junior
- Department of Animal Science, “Luiz de Queiroz” College of Agriculture, University of Sao Paulo, Piracicaba, São Paulo, Brazil
- * E-mail: (GFVJ); (CMMB)
| | - Maria Eduarda Reis
- Department of Animal Science, “Luiz de Queiroz” College of Agriculture, University of Sao Paulo, Piracicaba, São Paulo, Brazil
| | - Ana Paula da Silva
- Department of Animal Science, “Luiz de Queiroz” College of Agriculture, University of Sao Paulo, Piracicaba, São Paulo, Brazil
| | - Ariany Faria de Toledo
- Department of Animal Science, “Luiz de Queiroz” College of Agriculture, University of Sao Paulo, Piracicaba, São Paulo, Brazil
| | - Amanda Moelemberg Cezar
- Department of Animal Science, “Luiz de Queiroz” College of Agriculture, University of Sao Paulo, Piracicaba, São Paulo, Brazil
| | - Lucas William Mendes
- Center for Nuclear Energy in Agriculture, University of Sao Paulo, Piracicaba, São Paulo, Brazil
| | - Leandro Greco
- Kemin Animal Nutrition and Health Division South America, Valinhos, São Paulo, Brazil
| | - Horácio Montenegro
- Department of Animal Science, “Luiz de Queiroz” College of Agriculture, University of Sao Paulo, Piracicaba, São Paulo, Brazil
| | - Luiz Lehmann Coutinho
- Department of Animal Science, “Luiz de Queiroz” College of Agriculture, University of Sao Paulo, Piracicaba, São Paulo, Brazil
| | - Carla Maris Machado Bittar
- Department of Animal Science, “Luiz de Queiroz” College of Agriculture, University of Sao Paulo, Piracicaba, São Paulo, Brazil
- * E-mail: (GFVJ); (CMMB)
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Hilsdorf AWS, Uliano-Silva M, Coutinho LL, Montenegro H, Almeida-Val VMF, Pinhal D. Genome assembly and annotation of the tambaqui ( Colossoma macropomum): an emblematic fish of the Amazon River Basin. GigaByte 2021; 2021:gigabyte29. [PMID: 36824330 PMCID: PMC9650303 DOI: 10.46471/gigabyte.29] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 09/22/2021] [Indexed: 11/09/2022] Open
Abstract
Colossoma macropomum, known as "tambaqui", is the largest Characiformes fish in the Amazon River Basin and a leading species in Brazilian aquaculture and fisheries. Good quality meat and excellent adaptability to culture systems are some of its remarkable farming features. To support studies into the genetics and genomics of the tambaqui, we have produced the first high-quality genome for the species. We combined Illumina and PacBio sequencing technologies to generate a reference genome, assembled with 39× coverage of long reads and polished to a consensus quality value (QV) of 36 with 130× coverage of short reads. The genome was assembled into 1269 scaffolds (a total of 1,221,847,006 bases), with a scaffold N50 size of 40 Mb, where 93% of all assembled bases were placed in the largest 54 scaffolds corresponding to the diploid karyotype of the tambaqui. Furthermore, the NCBI Annotation Pipeline annotated genes, pseudogenes, and non-coding transcripts using the RefSeq database as evidence, guaranteeing a high-quality annotation. A Genome Data Viewer for the tambaqui was produced, which will benefit groups interested in exploring the unique genomic features of the species. The availability of a highly accurate genome assembly for tambaqui provides the foundation for the discovery of novel ecological and evolutionary insights, and is a helpful resource for aquaculture.
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Affiliation(s)
- Alexandre Wagner Silva Hilsdorf
- Integrated Center of Biotechnology, University of Mogi das Cruzes, P.O. Box 411, Mogi das Cruzes, SP 08780-911, Brazil, Corresponding authors. E-mail: ;
| | | | - Luiz Lehmann Coutinho
- Animal Science Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, SP 13418-900, Brazil
| | - Horácio Montenegro
- Animal Science Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, SP 13418-900, Brazil
| | - Vera Maria Fonseca Almeida-Val
- Brazilian National Institute for Research of the Amazon, Laboratory of Ecophysiology and Molecular Evolution, Manaus, AM 69067-375, Brazil
| | - Danillo Pinhal
- Department of Chemical and Biological Sciences, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, SP 18618-689, Brazil, Corresponding authors. E-mail: ;
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Virgínio Júnior GF, da Silva AP, de Toledo AF, Poczynek M, Cezar AM, Montenegro H, Coutinho LL, Bittar CMM. Ruminal and Fecal Bacteriome of Dairy Calves Fed Different Levels and Sources of NDF. Animals (Basel) 2021; 11:2705. [PMID: 34573671 PMCID: PMC8464983 DOI: 10.3390/ani11092705] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 12/13/2022] Open
Abstract
A starter concentrate containing different levels and sources of NDF can modify the gastrointestinal bacteriome. This study evaluated 18 Holstein calves housed in un-bedded suspended individual cages, fed one of three treatments: 22NDF: a conventional starter containing 22% NDF (n = 7); 31NDF: a starter with 31% NDF, replacing part of the corn by soybean hull (n = 6); and 22Hay: diet 22NDF plus coast-cross hay ad libitum (n = 5). All animals received 4 L of milk replacer daily, weaned at 8th week of age, and housed in wood shelters until week 10. To evaluate the bacteriome, the bacterial community of ruminal fluid and fecal samples was determined by sequencing V3 and V4 region amplicons of the 16S rRNA gene. Bacterial diversity in rumen was not affected by diet or age. The phyla Firmicutes and Bacteroidota, and Prevotella' genus were the most abundant in ruminal fluid and fecal samples. In feces, the α-diversity indices were higher for 22Hay. All indices were significantly affected by age. We believe that the ruminal bacteriome was affected by basal diet components, but not affected by NDF levels or sources. The supply of hay was effective in modifying the fecal bacteriome of dairy calves due to hind gut fermentation.
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Affiliation(s)
- Gercino Ferreira Virgínio Júnior
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Av. Pádua Dias, 11. Piracicaba, São Paulo 13.418-900, Brazil; (A.P.d.S.); (A.F.d.T.); (M.P.); (A.M.C.); (H.M.); (L.L.C.)
| | | | | | | | | | | | | | - Carla Maris Machado Bittar
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Av. Pádua Dias, 11. Piracicaba, São Paulo 13.418-900, Brazil; (A.P.d.S.); (A.F.d.T.); (M.P.); (A.M.C.); (H.M.); (L.L.C.)
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de Souza AJ, Pereira APDA, Andreote FD, Tornisielo VL, Tizioto PC, Coutinho LL, Regitano JB. Corrigendum to "Sulfadiazine dissipation as a function of soil bacterial diversity" [Environ. Pollut. 271 (2021) 116374]. Environ Pollut 2021; 285:117265. [PMID: 33964562 DOI: 10.1016/j.envpol.2021.117265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Affiliation(s)
- Adijailton Jose de Souza
- Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, São Paulo, Brazil
| | | | - Fernando Dini Andreote
- Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Valdemar Luiz Tornisielo
- Center of Nuclear Energy for Agriculture (CENA), University of São Paulo, Piracicaba, São Paulo, Brazil
| | | | - Luiz Lehmann Coutinho
- Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Jussara Borges Regitano
- Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, São Paulo, Brazil.
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Hul LM, Ibelli AMG, Savoldi IR, Marcelino DEP, Fernandes LT, Peixoto JO, Cantão ME, Higa RH, Giachetto PF, Coutinho LL, Ledur MC. Differentially expressed genes in the femur cartilage transcriptome clarify the understanding of femoral head separation in chickens. Sci Rep 2021; 11:17965. [PMID: 34504189 PMCID: PMC8429632 DOI: 10.1038/s41598-021-97306-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 08/24/2021] [Indexed: 02/08/2023] Open
Abstract
Locomotor problems are among one of the main concerns in the current poultry industry, causing major economic losses and affecting animal welfare. The most common bone anomalies in the femur are dyschondroplasia, femoral head separation (FHS), and bacterial chondronecrosis with osteomyelitis (BCO), also known as femoral head necrosis (FHN). The present study aimed to identify differentially expressed (DE) genes in the articular cartilage (AC) of normal and FHS-affected broilers by RNA-Seq analysis. In the transcriptome analysis, 12,169 genes were expressed in the femur AC. Of those, 107 genes were DE (FDR < 0.05) between normal and affected chickens, of which 9 were downregulated and 98 were upregulated in the affected broilers. In the gene-set enrichment analysis using the DE genes, 79 biological processes (BP) were identified and were grouped into 12 superclusters. The main BP found were involved in the response to biotic stimulus, gas transport, cellular activation, carbohydrate-derived catabolism, multi-organism regulation, immune system, muscle contraction, multi-organism process, cytolysis, leukocytes and cell adhesion. In this study, the first transcriptome analysis of the broilers femur articular cartilage was performed, and a set of candidate genes (AvBD1, AvBD2, ANK1, EPX, ADA, RHAG) that could trigger changes in the broiler´s femoral growth plate was identified. Moreover, these results could be helpful to better understand FHN in chickens and possibly in humans.
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Affiliation(s)
- Ludmila Mudri Hul
- grid.412329.f0000 0001 1581 1066Programa de Pós-Graduação em Ciências Veterinárias, Universidade Estadual do Centro-Oeste, Guarapuava, PR 85040-080 Brazil
| | - Adriana Mércia Guaratini Ibelli
- grid.412329.f0000 0001 1581 1066Programa de Pós-Graduação em Ciências Veterinárias, Universidade Estadual do Centro-Oeste, Guarapuava, PR 85040-080 Brazil ,Embrapa Suínos e Aves, Concórdia, SC 89715-899 Brazil
| | - Igor Ricardo Savoldi
- grid.412287.a0000 0001 2150 7271Programa de Pós-Graduação em Zootecnia, Centro de Educação Superior do Oeste (CEO), Universidade do Estado de Santa Catarina, UDESC, Chapecó, SC 89815-630 Brazil
| | | | | | - Jane Oliveira Peixoto
- grid.412329.f0000 0001 1581 1066Programa de Pós-Graduação em Ciências Veterinárias, Universidade Estadual do Centro-Oeste, Guarapuava, PR 85040-080 Brazil ,Embrapa Suínos e Aves, Concórdia, SC 89715-899 Brazil
| | | | - Roberto Hiroshi Higa
- grid.460200.00000 0004 0541 873XEmbrapa Informática Agropecuária, Campinas, SP 70770-901 Brazil
| | | | - Luiz Lehmann Coutinho
- grid.11899.380000 0004 1937 0722Departamento de Zootecnia, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, SP 13418-900 Brazil
| | - Mônica Corrêa Ledur
- Embrapa Suínos e Aves, Concórdia, SC 89715-899 Brazil ,grid.412287.a0000 0001 2150 7271Programa de Pós-Graduação em Zootecnia, Centro de Educação Superior do Oeste (CEO), Universidade do Estado de Santa Catarina, UDESC, Chapecó, SC 89815-630 Brazil
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Trevisoli PA, Moreira GCM, Boschiero C, Cesar ASM, Petrini J, Margarido GRA, Ledur MC, Mourão GB, Garrick D, Coutinho LL. A Missense Mutation in the MYBPH Gene Is Associated With Abdominal Fat Traits in Meat-Type Chickens. Front Genet 2021; 12:698163. [PMID: 34456973 PMCID: PMC8386115 DOI: 10.3389/fgene.2021.698163] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 07/09/2021] [Indexed: 12/14/2022] Open
Abstract
Chicken is an important source of protein for human nutrition and a model system for growth and developmental biology. Although the genetic architecture of quantitative traits in meat-type chickens has been the subject of ongoing investigation, the identification of mutations associated with carcass traits of economic interest remains challenging. Therefore, our aim was to identify predicted deleterious mutation, which potentially affects protein function, and test if they were associated with carcass traits in chickens. For that, we performed a genome-wide association analysis (GWAS) for breast, thigh and drumstick traits in meat-type chickens and detected 19 unique quantitative trait loci (QTL). We then used: (1) the identified windows; (2) QTL for abdominal fat detected in a previous study with the same population and (3) previously obtained whole genome sequence data, to identify 18 predicted deleterious single nucleotide polymorphisms (SNPs) in those QTL for further association with breast, thigh, drumstick and abdominal fat traits. Using the additive model, a predicted deleterious SNP c.482C > T (SIFT score of 0.4) was associated (p-value < 0.05) with abdominal fat weight and percentage. This SNP is in the second exon of the MYBPH gene, and its allele frequency deviates from Hardy–Weinberg equilibrium. In conclusion, our study provides evidence that the c.482C > T SNP in the MYBPH gene is a putative causal mutation for fat deposition in meat-type chickens.
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Affiliation(s)
- Priscila Anchieta Trevisoli
- Animal Science Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, Brazil
| | - Gabriel Costa Monteiro Moreira
- Animal Science Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, Brazil
| | - Clarissa Boschiero
- Animal Science Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, Brazil
| | - Aline Silva Mello Cesar
- Agri-Food Industry, Food and Nutrition Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, Brazil
| | - Juliana Petrini
- Animal Science Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, Brazil
| | | | | | - Gerson Barreto Mourão
- Animal Science Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, Brazil
| | - Dorian Garrick
- School of Agriculture, Massey University, Wellington, New Zealand
| | - Luiz Lehmann Coutinho
- Animal Science Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, Brazil
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de Oliveira JR, Colombo J, Gonçalves FM, de Carvalho LAL, Costa DS, Henrique T, Novais AA, Moscheta-Pinheiro MG, de Almeida Chuffa LG, Coutinho LL, Santana ÁE, de Campos Zuccari DAP. Liquid Biopsy Can Detect Brca2 Gene Variants In Female Dogs With Mammary Neoplasia. Vet Comp Oncol 2021; 20:164-171. [PMID: 34328705 DOI: 10.1111/vco.12758] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 07/09/2021] [Accepted: 07/28/2021] [Indexed: 11/30/2022]
Abstract
Mammary tumors (MT) is one of the most prevalent malignancies in female dogs and women. Currently, molecular analyzes have shown that each tumor type presents its own genetic signature. In this context, liquid biopsy allows a comprehensive genetic characterization of the tumor, enabling early diagnosis and personalized treatment of patients. In women, deleterious mutations inherited in BRCA2 gene are associated with an increased risk of breast cancer, resistance to therapies, and worse prognosis. In female dogs, there are many divergent data on the involvement of BRCA2 gene with mammary carcinogenesis and what its pathogenic potential is. Therefore, the objective was to identify BRCA2 gene variants in 20 plasma DNA samples, from 10 newly diagnosed dogs with mammary cancer (RD), five control (CTR), and five mastectomized (MAST) patients. Eleven single nucleotide polymorphisms (SNPs) were detected, most of them in the exon 11, and two indels (deletion / insertion) in the BRCA2 gene. However, there was no statistically significant difference in the SNPs/indels detected between the groups. In addition, only one SNP (p.T1425P) and one deletion (p.L2307del) were considered deleterious using in silico computational models. Interestingly, most common variants were present in the plasma of all groups, except for the Ile2614Thr, Ile2614Val, Thr1425Pro, and p.L2307del variants. Thus, we observed that SNPs are common in the BRCA2 gene of female dogs with mammary tumors, with a similar condition identified in women with breast cancer. Liquid biopsy approach in dogs with MT is useful for genetic and therapeutic proposals. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Jéssica Rodrigues de Oliveira
- Department of Veterinary Clinic and Surgery, School of Agricultural and Veterinarian Sciences, Univ. Estadual Paulista, Jaboticabal, São Paulo, Brazil
| | - Jucimara Colombo
- Department of Molecular Biology, Cancer Molecular Research Laboratory (LIMC), FAMERP, São José do Rio Preto, Brazil
| | - Francine Moraes Gonçalves
- Department of Molecular Biology, Cancer Molecular Research Laboratory (LIMC), FAMERP, São José do Rio Preto, Brazil
| | - Lucas Amoroso Lopes de Carvalho
- Department of Veterinary Clinic and Surgery, School of Agricultural and Veterinarian Sciences, Univ. Estadual Paulista, Jaboticabal, São Paulo, Brazil
| | - Douglas Santos Costa
- Department of Molecular Biology, Cancer Molecular Research Laboratory (LIMC), FAMERP, São José do Rio Preto, Brazil
| | - Tiago Henrique
- Department of Molecular Biology, Molecular Markers and Bioinformatics Laboratory, FAMERP, São José do Rio Preto, SP, Brazil
| | - Adriana Alonso Novais
- Department of Molecular Biology, Cancer Molecular Research Laboratory (LIMC), FAMERP, São José do Rio Preto, Brazil
| | | | - Luiz Gustavo de Almeida Chuffa
- Department of Anatomy-IBB/UNESP, Institute of Biosciences of Botucatu, Univ. Estadual Paulista, Botucatu, São Paulo, Brazil
| | - Luiz Lehmann Coutinho
- Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Áureo Evangelista Santana
- Department of Veterinary Clinic and Surgery, School of Agricultural and Veterinarian Sciences, Univ. Estadual Paulista, Jaboticabal, São Paulo, Brazil
| | - Debora Aparecida Pires de Campos Zuccari
- Department of Molecular Biology, Cancer Molecular Research Laboratory (LIMC), FAMERP, São José do Rio Preto, Brazil.,Department of Molecular Biology - FAMERP and Collaborator Professor in Program of Post-Graduate in Genetics - UNESP/IBILCE, São José do Rio Preto, São Paulo, Brazil
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49
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Malheiros JM, Correia BSB, Ceribeli C, Cardoso DR, Colnago LA, Junior SB, Reecy JM, Mourão GB, Coutinho LL, Palhares JCP, Berndt A, de Almeida Regitano LC. Comparative untargeted metabolome analysis of ruminal fluid and feces of Nelore steers (Bos indicus). Sci Rep 2021; 11:12752. [PMID: 34140582 PMCID: PMC8211696 DOI: 10.1038/s41598-021-92179-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 06/07/2021] [Indexed: 02/05/2023] Open
Abstract
We conducted a study to identify the fecal metabolite profile and its proximity to the ruminal metabolism of Nelore steers based on an untargeted metabolomic approach. Twenty-six Nelore were feedlot with same diet during 105 d. Feces and rumen fluid were collected before and at slaughter, respectively. The metabolomics analysis indicated 49 common polar metabolites in the rumen and feces. Acetate, propionate, and butyrate were the most abundant polar metabolites in both bio-samples. The rumen presented significantly higher concentrations of the polar compounds when compared to feces (P < 0.05); even though, fecal metabolites presented an accentuated representability of the ruminal fluid metabolites. All fatty acids present in the ruminal fluid were also observed in the feces, except for C20:2n6 and C20:4n6. The identified metabolites offer information on the main metabolic pathways (higher impact factor and P < 0.05), as synthesis and degradation of ketone bodies; the alanine, aspartate and glutamate metabolisms, the glycine, serine; and threonine metabolism and the pyruvate metabolism. The findings reported herein on the close relationship between the ruminal fluid and feces metabolic profiles may offer new metabolic information, in addition to facilitating the sampling for metabolism investigation in animal production and health routines.
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Affiliation(s)
| | | | - Caroline Ceribeli
- Chemistry Institute of São Carlos, University of São Paulo/USP, São Carlos, São Paulo, Brazil
| | | | | | - Stanislau Bogusz Junior
- Chemistry Institute of São Carlos, University of São Paulo/USP, São Carlos, São Paulo, Brazil
| | - James Mark Reecy
- Department of Animal Science, Iowa State University, Ames, IA, USA
| | - Gerson Barreto Mourão
- Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, São Paulo, Brazil
| | - Luiz Lehmann Coutinho
- Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, São Paulo, Brazil
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50
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de Souza TC, de Souza TC, Rovadoscki GA, Coutinho LL, Mourão GB, de Camargo GMF, Costa RB, de Carvalho GGP, Pedrosa VB, Pinto LFB. Genome-wide association for plasma urea concentration in sheep. Livest Sci 2021. [DOI: 10.1016/j.livsci.2021.104483] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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