1
|
Fanalli SL, Gomes JD, de Novais FJ, Gervásio IC, Fukumasu H, Moreira GCM, Coutinho LL, Koltes J, Amaral AJ, Cesar ASM. Key co-expressed genes correlated with blood serum parameters of pigs fed with different fatty acid profile diets. Front Genet 2024; 15:1394971. [PMID: 39021677 PMCID: PMC11252010 DOI: 10.3389/fgene.2024.1394971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 06/06/2024] [Indexed: 07/20/2024] Open
Abstract
This study investigated how gene expression is affected by dietary fatty acids (FA) by using pigs as a reliable model for studying human diseases that involve lipid metabolism. This includes changes in FA composition in the liver, blood serum parameters and overall metabolic pathways. RNA-Seq data from 32 pigs were analyzed using Weighted Gene Co-expression Network Analysis (WGCNA). Our aim was to identify changes in blood serum parameters and gene expression between diets containing 3% soybean oil (SOY3.0) and a standard pig production diet containing 1.5% soybean oil (SOY1.5). Significantly, both the SOY1.5 and SOY3.0 groups showed significant modules, with a higher number of co-expressed modules identified in the SOY3.0 group. Correlated modules and specific features were identified, including enriched terms and pathways such as the histone acetyltransferase complex, type I diabetes mellitus pathway, cholesterol metabolism, and metabolic pathways in SOY1.5, and pathways related to neurodegeneration and Alzheimer's disease in SOY3.0. The variation in co-expression observed for HDL in the groups analyzed suggests different regulatory patterns in response to the higher concentration of soybean oil. Key genes co-expressed with metabolic processes indicative of diseases such as Alzheimer's was also identified, as well as genes related to lipid transport and energy metabolism, including CCL5, PNISR, DEGS1. These findings are important for understanding the genetic and metabolic responses to dietary variation and contribute to the development of more precise nutritional strategies.
Collapse
Affiliation(s)
- Simara Larissa Fanalli
- Faculty of Animal Science and Food Engineering, (FZEA), University of São Paulo, SãoPaulo, Brazil
| | - Júlia Dezen Gomes
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (USP), Piracicaba, Brazil
| | - Francisco José de Novais
- Department of Agricultural, Food & Nutritional Science, Faculty of Agricultural, Life and Environmental Science, University of Alberta, Edmonton, AB, Canada
| | - Izally Carvalho Gervásio
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (USP), Piracicaba, Brazil
| | - Heidge Fukumasu
- Faculty of Animal Science and Food Engineering, (FZEA), University of São Paulo, SãoPaulo, Brazil
| | | | - Luiz Lehmann Coutinho
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (USP), Piracicaba, Brazil
| | - James Koltes
- Animal Science Department, Iowa State University, Ames, IA, United States
| | - Andreia J. Amaral
- Mediterranean Institute for Agriculture, Environment and Development (MED), Évora, Portugal
- Centre for Interdisciplinary Research in Animal Health (CIISA), Faculty of Veterinarian Medicine, University of Lisbon, Lisbon, Portugal
| | - Aline Silva Mello Cesar
- Faculty of Animal Science and Food Engineering, (FZEA), University of São Paulo, SãoPaulo, Brazil
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (USP), Piracicaba, Brazil
- Department of Food Science and Technology, Luiz de Queiroz College of Agriculture, University of São Paulo (USP), Piracicaba, Brazil
| |
Collapse
|
2
|
Wei X, Li S, Yan H, Chen S, Li R, Zhang W, Chao S, Guo W, Li W, Ahmed Z, Lei C, Ma Z. Unraveling genomic diversity and positive selection signatures of Qaidam cattle through whole-genome re-sequencing. Anim Genet 2024; 55:362-376. [PMID: 38480515 DOI: 10.1111/age.13417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 01/02/2024] [Accepted: 02/22/2024] [Indexed: 05/04/2024]
Abstract
Qaidam cattle are a typical Chinese native breed inhabiting northwest China. They bear the characteristics of high cold and roughage tolerance, low-oxygen adaptability and good meat quality. To analyze the genetic diversity of Qaidam cattle, 60 samples were sequenced using whole-genome resequencing technology, along with 192 published sets of whole-genome sequencing data of Indian indicine cattle, Chinese indicine cattle, North Chinese cattle breeds, East Asian taurine cattle, Eurasian taurine cattle and European taurine cattle as controls. It was found that Qaidam cattle have rich genetic diversity in Bos taurus, but the degree of inbreeding is also high, which needs further protection. The phylogenetic analysis, principal component analysis and ancestral component analysis showed that Qaidam cattle mainly originated from East Asian taurine cattle. Qaidam cattle had a closer genetic relationship with the North Chinese cattle breeds and the least differentiation from Mongolian cattle. Annotating the selection signals obtained by composite likelihood ratio, nucleotide diversity analysis, integrated haplotype score, genetic differentiation index, genetic diversity ratio and cross-population extended haplotype homozygosity methods, several genes associated with immunity, reproduction, meat, milk, growth and adaptation showed strong selection signals. In general, this study provides genetic evidence for understanding the germplasm characteristics of Qaidam cattle. At the same time, it lays a foundation for the scientific and reasonable protection and utilization of genetic resources of Chinese local cattle breeds, which has great theoretical and practical significance.
Collapse
Affiliation(s)
- Xudong Wei
- Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Xining, China
- Plateau Livestock Genetic Resources Protection and Innovative Utilization Key Laboratory of Qinghai Province, Xining, China
| | - Shuang Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Huixuan Yan
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Shengmei Chen
- Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Xining, China
- Plateau Livestock Genetic Resources Protection and Innovative Utilization Key Laboratory of Qinghai Province, Xining, China
| | - Ruizhe Li
- Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Xining, China
- Plateau Livestock Genetic Resources Protection and Innovative Utilization Key Laboratory of Qinghai Province, Xining, China
| | - Weizhong Zhang
- Golmud Animal Husbandry and Veterinary Station of Qinghai Province, Golmud, China
| | - Shengyu Chao
- Agro-Technical Extension and Service Center in Haixi Prefecture of Qinghai Province, Delingha, China
| | - Weixing Guo
- Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Xining, China
- Plateau Livestock Genetic Resources Protection and Innovative Utilization Key Laboratory of Qinghai Province, Xining, China
| | - Wenhao Li
- Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Xining, China
- Plateau Livestock Genetic Resources Protection and Innovative Utilization Key Laboratory of Qinghai Province, Xining, China
| | - Zulfiqar Ahmed
- Department of Livestock and Poultry Production, Faculty of Veterinary and Animal Sciences, University of Poonch Rawalakot, Rawalakot, Pakistan
| | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Zhijie Ma
- Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Xining, China
- Plateau Livestock Genetic Resources Protection and Innovative Utilization Key Laboratory of Qinghai Province, Xining, China
| |
Collapse
|
3
|
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] [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.
Collapse
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
| | | |
Collapse
|
4
|
Li D, Liang H, Qin P, Wang J. A self-training subspace clustering algorithm based on adaptive confidence for gene expression data. Front Genet 2023; 14:1132370. [PMID: 37025450 PMCID: PMC10070828 DOI: 10.3389/fgene.2023.1132370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 03/07/2023] [Indexed: 04/08/2023] Open
Abstract
Gene clustering is one of the important techniques to identify co-expressed gene groups from gene expression data, which provides a powerful tool for investigating functional relationships of genes in biological process. Self-training is a kind of important semi-supervised learning method and has exhibited good performance on gene clustering problem. However, the self-training process inevitably suffers from mislabeling, the accumulation of which will lead to the degradation of semi-supervised learning performance of gene expression data. To solve the problem, this paper proposes a self-training subspace clustering algorithm based on adaptive confidence for gene expression data (SSCAC), which combines the low-rank representation of gene expression data and adaptive adjustment of label confidence to better guide the partition of unlabeled data. The superiority of the proposed SSCAC algorithm is mainly reflected in the following aspects. 1) In order to improve the discriminative property of gene expression data, the low-rank representation with distance penalty is used to mine the potential subspace structure of data. 2) Considering the problem of mislabeling in self-training, a semi-supervised clustering objective function with label confidence is proposed, and a self-training subspace clustering framework is constructed on this basis. 3) In order to mitigate the negative impact of mislabeled data, an adaptive adjustment strategy based on gravitational search algorithm is proposed for label confidence. Compared with a variety of state-of-the-art unsupervised and semi-supervised learning algorithms, the SSCAC algorithm has demonstrated its superiority through extensive experiments on two benchmark gene expression datasets.
Collapse
Affiliation(s)
- Dan Li
- Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China
| | - Hongnan Liang
- Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China
| | - Pan Qin
- Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China
- *Correspondence: Pan Qin, ; Jia Wang,
| | - Jia Wang
- Department of Breast Surgery, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China
- *Correspondence: Pan Qin, ; Jia Wang,
| |
Collapse
|
5
|
Easa AA, Selionova M, Aibazov M, Mamontova T, Sermyagin A, Belous A, Abdelmanova A, Deniskova T, Zinovieva N. Identification of Genomic Regions and Candidate Genes Associated with Body Weight and Body Conformation Traits in Karachai Goats. Genes (Basel) 2022; 13:genes13101773. [PMID: 36292658 PMCID: PMC9601913 DOI: 10.3390/genes13101773] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/23/2022] [Accepted: 09/28/2022] [Indexed: 11/04/2022] Open
Abstract
The objective of this study was to identify the SNPs and candidate genes related to body weight and seven body conformation traits at the age of 8 months in the Russian aboriginal Karachai goats (n = 269) by conducting genome-wide association studies (GWAS), using genotypes generated by Goat SNP BeadChip (Illumina Inc., USA). We identified 241 SNPs, which were significantly associated with the studied traits, including 47 genome-wide SNPs (p < 10−5) and 194 suggestive SNPs (p < 10−4), distributed among all goat autosomes except for autosome 23. Fifty-six SNPs were common for two and more traits (1 SNP for six traits, 2 SNPs for five traits, 12 SNPs for four traits, 20 SNPs for three traits, and 21 SNPs for two traits), while 185 SNPs were associated with single traits. Structural annotation within a window of 0.4 Mb (±0.2 Mb from causal SNPs) revealed 238 candidate genes. The largest number of candidate genes was identified at Chr13 (33 candidate genes for the five traits). The genes identified in our study were previously reported to be associated with growth-related traits in different livestock species. The most significant genes for body weight were CRADD, HMGA2, MSRB3, MAX, HACL1 and RAB15, which regulate growth processes, body sizes, fat deposition, and average daily gains. Among them, the HMGA2 gene is a well-known candidate for prenatal and early postnatal development, and the MSRB3 gene is proposed as a candidate gene affecting the growth performance. APOB, PTPRK, BCAR1, AOAH and ASAH1 genes associated with withers height, rump height and body length, are involved in various metabolic processes, including fatty acid metabolism and lipopolysaccharide catabolism. In addition, WDR70, ZBTB24, ADIPOQ, and SORCS3 genes were linked to chest width. KCNG4 was associated with rump height, body length and chest perimeter. The identified candidate genes can be proposed as molecular markers for growth trait selection for genetic improvement in Karachai goats.
Collapse
Affiliation(s)
- Ahmed A. Easa
- Timiryazev Agricultural Academy, Russian State Agrarian University-Moscow, Timiryazevskaya Street, 41, Moscow 127550, Russia
- Department of Animal and Poultry Production, Faculty of Agriculture, Damanhour University, Damanhour 22511, Egypt
- Correspondence: (A.A.E.); (N.Z.)
| | - Marina Selionova
- Timiryazev Agricultural Academy, Russian State Agrarian University-Moscow, Timiryazevskaya Street, 41, Moscow 127550, Russia
| | - Magomet Aibazov
- Timiryazev Agricultural Academy, Russian State Agrarian University-Moscow, Timiryazevskaya Street, 41, Moscow 127550, Russia
| | - Tatiana Mamontova
- Timiryazev Agricultural Academy, Russian State Agrarian University-Moscow, Timiryazevskaya Street, 41, Moscow 127550, Russia
| | - Alexander Sermyagin
- L K Ernst Federal Research Center for Animal Husbandry, Dubrovitsy 60, Podolsk Municipal District, Moscow 142132, Russia
| | - Anna Belous
- L K Ernst Federal Research Center for Animal Husbandry, Dubrovitsy 60, Podolsk Municipal District, Moscow 142132, Russia
| | - Alexandra Abdelmanova
- L K Ernst Federal Research Center for Animal Husbandry, Dubrovitsy 60, Podolsk Municipal District, Moscow 142132, Russia
| | - Tatiana Deniskova
- L K Ernst Federal Research Center for Animal Husbandry, Dubrovitsy 60, Podolsk Municipal District, Moscow 142132, Russia
| | - Natalia Zinovieva
- L K Ernst Federal Research Center for Animal Husbandry, Dubrovitsy 60, Podolsk Municipal District, Moscow 142132, Russia
- Correspondence: (A.A.E.); (N.Z.)
| |
Collapse
|
6
|
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] [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.
Collapse
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
| | | |
Collapse
|
7
|
Zhang T, Wang T, Niu Q, Zheng X, Li H, Gao X, Chen Y, Gao H, Zhang L, Liu GE, Li J, Xu L. Comparative transcriptomic analysis reveals region-specific expression patterns in different beef cuts. BMC Genomics 2022; 23:387. [PMID: 35596128 PMCID: PMC9123670 DOI: 10.1186/s12864-022-08527-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 03/30/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Beef cuts in different regions of the carcass have different meat quality due to their distinct physiological function. The objective of this study was to characterize the region-specific expression differences using comparative transcriptomics analysis among five representative beef cuts (tenderloin, longissimus lumborum, rump, neck, chuck). RESULTS We obtained 15,701 expressed genes in 30 muscle samples across five regions from carcass meat. We identified a total of 80 region-specific genes (RSGs), ranging from three (identified in the rump cut) to thirty (identified in the longissimus lumborum cut), and detected 25 transcription factors (TFs) for RSGs. Using a co-expression network analysis, we detected seven region-specific modules, including three positively correlated modules and four negatively correlated modules. We finally obtained 91 candidate genes related to meat quality, and the functional enrichment analyses showed that these genes were mainly involved in muscle fiber structure (e.g., TNNI1, TNNT1), fatty acids (e.g., SCD, LPL), amino acids (ALDH2, IVD, ACADS), ion channel binding (PHPT1, SNTA1, SUMO1, CNBP), protein processing (e.g., CDC37, GAPDH, NRBP1), as well as energy production and conversion (e.g., ATP8, COX8B, NDUFB6). Moreover, four candidate genes (ALDH2, CANX, IVD, PHPT1) were validated using RT-qPCR analyses which further supported our RNA-seq results. CONCLUSIONS Our results provide valuable insights into understanding the transcriptome regulation of meat quality in different beef cuts, and these findings may further help to improve the selection for health-beneficial meat in beef cattle.
Collapse
Affiliation(s)
- Tianliu Zhang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Tianzhen Wang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Qunhao Niu
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Xu Zheng
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Haipeng Li
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Xue Gao
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Yan Chen
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Huijiang Gao
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Lupei Zhang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - George E Liu
- Animal Genomics and Improvement Laboratory, United States Department of Agriculture-Agricultural Research Services, Beltsville, MD, 20705, USA
| | - Junya Li
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China.
| | - Lingyang Xu
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China.
| |
Collapse
|
8
|
Duarte INH, Bessa AFDO, Rola LD, Genuíno MVH, Rocha IM, Marcondes CR, Regitano LCDA, Munari DP, Berry DP, Buzanskas ME. Cross-population selection signatures in Canchim composite beef cattle. PLoS One 2022; 17:e0264279. [PMID: 35363779 PMCID: PMC8975110 DOI: 10.1371/journal.pone.0264279] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 02/07/2022] [Indexed: 12/15/2022] Open
Abstract
Analyses of livestock genomes have been used to detect selection signatures, which are genomic regions associated with traits under selection leading to a change in allele frequency. The objective of the present study was to characterize selection signatures in Canchim composite beef cattle using cross-population analyses with the founder Nelore and Charolais breeds. High-density single nucleotide polymorphism genotypes were available on 395 Canchim representing the target population, along with genotypes from 809 Nelore and 897 Charolais animals representing the reference populations. Most of the selection signatures were co-located with genes whose functions agree with the expectations of the breeding programs; these genes have previously been reported to associate with meat quality, as well as reproductive traits. Identified genes were related to immunity, adaptation, morphology, as well as behavior, could give new perspectives for understanding the genetic architecture of Canchim. Some selection signatures identified genes that were recently introduced in Canchim, such as the loci related to the polled trait.
Collapse
Affiliation(s)
| | | | - Luciana Diniz Rola
- Departamento de Zootecnia, Universidade Federal da Paraíba, Areia, Paraíba, Brazil
| | | | - Iasmin Marques Rocha
- Departamento de Zootecnia, Universidade Federal da Paraíba, Areia, Paraíba, Brazil
| | | | | | - Danísio Prado Munari
- Departamento de Engenharia e Ciências Exatas, Universidade Estadual Paulista, Jaboticabal, São Paulo, Brazil
| | - Donagh Pearse Berry
- Teagasc, Animal & Grassland Research and Innovation Centre, Moorepark, Fermoy Co. Cork., Ireland
| | - Marcos Eli Buzanskas
- Departamento de Zootecnia, Universidade Federal da Paraíba, Areia, Paraíba, Brazil
- * E-mail:
| |
Collapse
|
9
|
Hao D, Wang X, Yang Y, Thomsen B, Holm LE, Qu K, Huang B, Chen H. Integrated Analysis of mRNA and MicroRNA Co-expressed Network for the Differentiation of Bovine Skeletal Muscle Cells After Polyphenol Resveratrol Treatment. Front Vet Sci 2022; 8:777477. [PMID: 35036414 PMCID: PMC8759604 DOI: 10.3389/fvets.2021.777477] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 11/15/2021] [Indexed: 01/01/2023] Open
Abstract
Resveratrol (RSV) has been confirmed to benefit human health. Resveratrol supplemented in the feeds of animals improved pork, chicken, and duck meat qualities. In this study, we identified differentially expressed (DE) messenger RNAs (mRNAs) (n = 3,856) and microRNAs (miRNAs) (n = 93) for the weighted gene co-expression network analysis (WGCNA) to investigate the co-expressed DE mRNAs and DE miRNAs in the primary bovine myoblasts after RSV treatment. The mRNA results indicated that RSV treatments had high correlations with turquoise module (0.91, P-value = 0.01) and blue module (0.93, P-value < 0.01), while only the turquoise module (0.96, P-value < 0.01) was highly correlated with the treatment status using miRNA data. After biological enrichment analysis, the 2,579 DE genes in the turquoise module were significantly enriched in the Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. The top two GO terms were actin filament-based process (GO:0030029) and actin cytoskeleton organization (GO:0030036). The top two KEGG pathways were regulation of actin cytoskeleton (bta04810) and tight junction (bta04530). Then, we constructed the DE mRNA co-expression and DE miRNA co-expression networks in the turquoise module and the mRNA–miRNA targeting networks based on their co-expressions in the key module. In summary, the RSV-induced miRNAs participated in the co-expression networks that could affect mRNA expressions to regulate the primary myoblast differentiation. Our study provided a better understanding of the roles of RSV in inducing miRNA and of the characteristics of DE miRNAs in the key co-expressed module in regulation of mRNAs and revealed new candidate regulatory miRNAs and genes for the beef quality traits.
Collapse
Affiliation(s)
- Dan Hao
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, Yangling, China.,Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark
| | - Xiao Wang
- Konge Larsen ApS, Kongens Lyngby, Denmark
| | - Yu Yang
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, Yangling, China
| | - Bo Thomsen
- Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark
| | - Lars-Erik Holm
- Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark
| | - Kaixing Qu
- Academy of Science and Technology, Chuxiong Normal University, Chuxiong, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Hong Chen
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, Yangling, China.,College of Animal Science, Xinjiang Agricultural University, Urumqi, China
| |
Collapse
|
10
|
Multi-Omics Approach Reveals miR-SNPs Affecting Muscle Fatty Acids Profile in Nelore Cattle. Genes (Basel) 2021; 12:genes12010067. [PMID: 33419037 PMCID: PMC7825288 DOI: 10.3390/genes12010067] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 12/26/2020] [Accepted: 12/31/2020] [Indexed: 12/13/2022] Open
Abstract
MicroRNAs (miRNAs) are key regulators of gene expression, potentially affecting several biological processes, whose function can be altered by sequence variation. Hence, the integration of single nucleotide polymorphisms (SNP) and miRNAs can explain individual differences in economic traits. To provide new insights into the effects of SNPs on miRNAs and their related target genes, we carried out a multi-omic analysis to identify SNPs in miRNA mature sequences (miR-SNPs) associated with fatty acid (FA) composition in the Nelore cattle. As a result, we identified 3 miR-SNPs in different miRNAs (bta-miR-2419-3p, bta-miR-193a-2, and bta-miR-1291) significantly associated with FA traits (p-value < 0.02, Bonferroni corrected). Among these, the rs110817643C>T, located in the seed sequence of the bta-miR-1291, was associated with different ω6 FAs, polyunsaturated FA, and polyunsaturated:saturated FA ratios. Concerning the other two miR-SNPs, the rs43400521T>C (located in the bta-miR-2419-3p) was associated with C12:0 and C18:1 cis-11 FA, whereas the rs516857374A>G (located in the bta-miR-193a-2) was associated with C18:3 ω6 and ratio of ω6/ω3 traits. Additionally, to identify potential biomarkers for FA composition, we described target genes affected by these miR-SNPs at the mRNA or protein level. Our multi-omics analysis outlines the effects of genetic polymorphism on miRNA, and it highlights miR-SNPs and target candidate genes that control beef fatty acid composition.
Collapse
|
11
|
Gunjača J, Carović-Stanko K, Lazarević B, Vidak M, Petek M, Liber Z, Šatović Z. Genome-Wide Association Studies of Mineral Content in Common Bean. FRONTIERS IN PLANT SCIENCE 2021; 12:636484. [PMID: 33763096 PMCID: PMC7982862 DOI: 10.3389/fpls.2021.636484] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 02/09/2021] [Indexed: 05/15/2023]
Abstract
Micronutrient malnutrition is one of the main public health problems in many parts of the world. This problem raises the attention of all valuable sources of micronutrients for the human diet, such as common bean (Phaseolus vulgaris L.). In this research, a panel of 174 accessions representing Croatian common bean landraces was phenotyped for seed content of eight nutrients (N, P, K, Ca, Mg, Fe, Zn, and Mn), and genotyped using 6,311 high-quality DArTseq-derived SNP markers. A genome-wide association study (GWAS) was then performed to identify new genetic sources for improving seed mineral content. Twenty-two quantitative trait nucleotides (QTN) associated with seed nitrogen content were discovered on chromosomes Pv01, Pv02, Pv03, Pv05, Pv07, Pv08, and Pv10. Five QTNs were associated with seed phosphorus content, four on chromosome Pv07, and one on Pv08. A single significant QTN was found for seed calcium content on chromosome Pv09 and for seed magnesium content on Pv08. Finally, two QTNs associated with seed zinc content were identified on Pv06 while no QTNs were found to be associated with seed potassium, iron, or manganese content. Our results demonstrate the utility of GWAS for understanding the genetic architecture of seed nutritional traits in common bean and have utility for future enrichment of seed with macro- and micronutrients through genomics-assisted breeding.
Collapse
Affiliation(s)
- Jerko Gunjača
- Department of Plant Breeding, Genetics and Biometrics, Faculty of Agriculture, University of Zagreb, Zagreb, Croatia
- Centre of Excellence for Biodiversity and Molecular Plant Breeding (CoE CroP-BioDiv), Zagreb, Croatia
| | - Klaudija Carović-Stanko
- Centre of Excellence for Biodiversity and Molecular Plant Breeding (CoE CroP-BioDiv), Zagreb, Croatia
- Department of Seed Science and Technology, Faculty of Agriculture, University of Zagreb, Zagreb, Croatia
- *Correspondence: Klaudija Carović-Stanko,
| | - Boris Lazarević
- Centre of Excellence for Biodiversity and Molecular Plant Breeding (CoE CroP-BioDiv), Zagreb, Croatia
- Department of Plant Nutrition, Faculty of Agriculture, University of Zagreb, Zagreb, Croatia
| | - Monika Vidak
- Centre of Excellence for Biodiversity and Molecular Plant Breeding (CoE CroP-BioDiv), Zagreb, Croatia
| | - Marko Petek
- Department of Plant Nutrition, Faculty of Agriculture, University of Zagreb, Zagreb, Croatia
| | - Zlatko Liber
- Centre of Excellence for Biodiversity and Molecular Plant Breeding (CoE CroP-BioDiv), Zagreb, Croatia
- Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Zlatko Šatović
- Centre of Excellence for Biodiversity and Molecular Plant Breeding (CoE CroP-BioDiv), Zagreb, Croatia
- Department of Seed Science and Technology, Faculty of Agriculture, University of Zagreb, Zagreb, Croatia
| |
Collapse
|
12
|
Kaur M, Kumar A, Siddaraju NK, Fairoze MN, Chhabra P, Ahlawat S, Vijh RK, Yadav A, Arora R. Differential expression of miRNAs in skeletal muscles of Indian sheep with diverse carcass and muscle traits. Sci Rep 2020; 10:16332. [PMID: 33004825 PMCID: PMC7529745 DOI: 10.1038/s41598-020-73071-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 09/03/2020] [Indexed: 12/15/2022] Open
Abstract
The study presents the miRNA profiles of two Indian sheep populations with divergent carcass and muscle traits. The RNA sequencing of longissimus thoracis muscles from the two populations revealed a total of 400 known miRNAs. Myomirs or miRNAs specific to skeletal muscles identified in our data included oar-miR-1, oar-miR-133b, oar-miR-206 and oar-miR-486. Comparison of the two populations led to identification of 100 differentially expressed miRNAs (p < 0.05). A total of 45 miRNAs exhibited a log2 fold change of ≥ ( ±) 3.0. Gene Ontology analysis revealed cell proliferation, epithelial to mesenchymal transition, apoptosis, immune response and cell differentiation as the most significant functions of the differentially expressed miRNAs. The differential expression of some miRNAs was validated by qRT-PCR analysis. Enriched pathways included metabolism of proteins and lipids, PI3K-Akt, EGFR and cellular response to stress. The microRNA-gene interaction network revealed miR-21, miR-155, miR-143, miR-221 and miR-23a as the nodal miRNAs, with multiple targets. MicroRNA-21 formed the focal point of the network with 42 interactions. The hub miRNAs identified in our study form putative regulatory candidates for future research on meat quality traits in Indian sheep. Our results provide insight into the biological pathways and regulatory molecules implicated in muscling traits of sheep.
Collapse
Affiliation(s)
- Mandeep Kaur
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, 132001, India.,Kurukshetra University, Kurukshetra, Haryana, 136119, India
| | - Ashish Kumar
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, 132001, India.,Kurukshetra University, Kurukshetra, Haryana, 136119, India
| | | | | | - Pooja Chhabra
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, 132001, India
| | - Sonika Ahlawat
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, 132001, India
| | - Ramesh Kumar Vijh
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, 132001, India
| | - Anita Yadav
- Kurukshetra University, Kurukshetra, Haryana, 136119, India
| | - Reena Arora
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, 132001, India.
| |
Collapse
|
13
|
Kim SM, Markkandan K, Lee JY, Kim GW, Yoo JY. Transcriptome Profiling Associated with Carcass Quality of Loin Muscles in Crossbred Pigs. Animals (Basel) 2020; 10:ani10081279. [PMID: 32727063 PMCID: PMC7569835 DOI: 10.3390/ani10081279] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 07/22/2020] [Accepted: 07/23/2020] [Indexed: 02/06/2023] Open
Abstract
Carcass quality traits, such as lean depth and loin depth, are of extreme economic importance for the swine industry. This study aimed to identify the gene expression pattern related to carcass quality in crossbred pigs ((Landrace × Yorkshire) × Duroc). In total, 20 crossbred pigs were used in this study and they were divided into two groups (class I grade, n = 10; class II grade, n = 10) based on the carcass grades. Total RNA samples extracted from the loin muscles of both groups were submitted for RNA-seq. The quality assessment of the sequencing reads resulted in 25,458 unigenes and found 12,795 candidate coding unigenes with homology to other species after annotation. Differentially expressed gene (DEG) analysis of the two groups revealed 282 up-regulated and 189 down-regulated genes (p ≤ 0.01), linked to tissue development, striated muscle tissue development, tissue morphogenesis, and lipid metabolic process gene ontology (GO) terms. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis highlighted genes related to the calcium signaling pathway, melanogenesis, the sphingolipid signaling pathway, the apelin signaling pathway, and the mTOR signaling pathway. We constructed an expressed gene profile, which may serve as a resource for genomic studies focused on uncovering the molecular mechanisms underlying carcass quality in crossbred pigs.
Collapse
Affiliation(s)
- Sang-Mo Kim
- Department of Animal Resources Science, College of Industrial Sciences, Kongju National University, Yesan-eup, Yesan-gun, Chungcheongnam-do 32588, Korea;
| | - Kesavan Markkandan
- Oneomics Co Ltd., Bucheon-si, Gyeonggi-do 14585, Korea; (K.M.); (J.-Y.L.)
| | - Jong-Young Lee
- Oneomics Co Ltd., Bucheon-si, Gyeonggi-do 14585, Korea; (K.M.); (J.-Y.L.)
| | - Gye-Woong Kim
- Department of Animal Resources Science, College of Industrial Sciences, Kongju National University, Yesan-eup, Yesan-gun, Chungcheongnam-do 32588, Korea;
- Correspondence: (G.-W.K.); (J.Y.Y.)
| | - Jae Young Yoo
- Viral Disease Research Division, Animal and Plant Quarantine Agency, Ministry of Agriculture, Food and Rural Affairs, Gimcheon-si, Gyeongsangbuk-do 39660, Korea
- Correspondence: (G.-W.K.); (J.Y.Y.)
| |
Collapse
|
14
|
Ribeiro DM, Salama AAK, Vitor ACM, Argüello A, Moncau CT, Santos EM, Caja G, de Oliveira JS, Balieiro JCC, Hernández-Castellano LE, Zachut M, Poleti MD, Castro N, Alves SP, Almeida AM. The application of omics in ruminant production: a review in the tropical and sub-tropical animal production context. J Proteomics 2020; 227:103905. [PMID: 32712373 DOI: 10.1016/j.jprot.2020.103905] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 06/25/2020] [Accepted: 07/16/2020] [Indexed: 02/08/2023]
Abstract
The demand for animal products (e.g. dairy and beef) in tropical regions is expected to increase in parallel with the public demand for sustainable practices, due to factors such as population growth and climate change. The necessity to increase animal production output must be achieved with better management and production technologies. For this to happen, novel research methodologies, animal selection and postgenomic tools play a pivotal role. Indeed, improving breeder selection programs, the quality of meat and dairy products as well as animal health will contribute to higher sustainability and productivity. This would surely benefit regions where resource quality and quantity are increasingly unstable, and research is still very incipient, which is the case of many regions in the tropics. The purpose of this review is to demonstrate how omics-based approaches play a major role in animal science, particularly concerning ruminant production systems and research associated to the tropics and developing countries. SIGNIFICANCE: Environmental conditions in the tropics make livestock production harder, compared to temperate regions. Due to global warming, the sustainability of livestock production will become increasingly problematic. The use of novel omics technologies could generate useful information to understand adaptation mechanisms of resilient breeds and/or species. The application of omics to tropical animal production is still residual in the currently available literature. With this review, we aim to summarize the most notable results in the field whilst encouraging further research to deal with the future challenges that animal production in the tropics will need to face.
Collapse
Affiliation(s)
- David M Ribeiro
- LEAF Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, University of Lisbon, Lisboa, Portugal
| | - Ahmed A K Salama
- Group of Research in Ruminants (G2R), Department of Animal and Food Science, Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain
| | - Ana C M Vitor
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Av. da Universidade Técnica, Lisboa, Portugal
| | - Anastasio Argüello
- Animal Production and Biotechnology group, Institute of Animal Health and Food Safety, Universidad de Las Palmas de Gran Canaria, 35413 Arucas, Spain
| | - Cristina T Moncau
- FZEA - Faculty of Animal Science and Food Engineering, University of São Paulo, Avenida Duque de Caxias Norte - 225, 13635-900 Pirassununga, SP, Brazil
| | - Edson M Santos
- Departamento de Zootecnia, Centro de Ciências Agrárias, Universidade Federal da Paraíba, Areia, PB, Brazil
| | - Gerardo Caja
- Group of Research in Ruminants (G2R), Department of Animal and Food Science, Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain
| | - Juliana S de Oliveira
- Departamento de Zootecnia, Centro de Ciências Agrárias, Universidade Federal da Paraíba, Areia, PB, Brazil
| | - Júlio C C Balieiro
- FMVZ - School of Veterinary Medicine and Animal Science, University of São Paulo, Avenida Duque de Caxias Norte - 225, 13635-900 Pirassununga, SP, Brazil
| | | | - Maya Zachut
- Department of Ruminant Science, Institute of Animal Sciences Agricultural Research Organization/Volcani Center, Rishon Lezion 7505101, Israel
| | - Mirele D Poleti
- FZEA - Faculty of Animal Science and Food Engineering, University of São Paulo, Avenida Duque de Caxias Norte - 225, 13635-900 Pirassununga, SP, Brazil
| | - Noemi Castro
- Animal Production and Biotechnology group, Institute of Animal Health and Food Safety, Universidad de Las Palmas de Gran Canaria, 35413 Arucas, Spain
| | - Susana P Alves
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Av. da Universidade Técnica, Lisboa, Portugal
| | - André M Almeida
- LEAF Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, University of Lisbon, Lisboa, Portugal.
| |
Collapse
|
15
|
Te Pas MFW, Borg R, Buddiger NJH, Wood BJ, Rebel JMJ, van Krimpen MM, Calus MPL, Park JE, Schokker D. Regulating appetite in broilers for improving body and muscle development - A review. J Anim Physiol Anim Nutr (Berl) 2020; 104:1819-1834. [PMID: 32592266 PMCID: PMC7754290 DOI: 10.1111/jpn.13407] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 05/27/2020] [Accepted: 05/28/2020] [Indexed: 12/12/2022]
Abstract
Appetite is the desire for feed and water and the voluntary intake of feed and is an important regulator of livestock productivity and animal health. Economic traits such as growth rate and muscle development (meat deposition) in broilers are directly correlated to appetite. Factors that may influence appetite include environmental factors, such as stress and temperature variation, and animal‐specific factors, such as learning period, eating capacity and preferences. Feed preferences have been reported to be determined in early life, and this period is important in broilers due to their fast growth and relatively short growth trajectories. This may be of importance when contemplating the use of more circular and sustainable feeds and the optimization of appetite for these feeds. The objective of this review was to review the biological mechanisms underlying appetite using data from human, animal and bird models and to consider the option for modulating appetite particularly as it relates to broiler chickens.
Collapse
Affiliation(s)
- Marinus F W Te Pas
- Wageningen University and Research, Wageningen Livestock Research, Wageningen, The Netherlands
| | | | | | - Benjamin J Wood
- Hendrix Genetics North America Office, Kitchener, ON, Canada
| | - Johanna M J Rebel
- Wageningen University and Research, Wageningen Livestock Research, Wageningen, The Netherlands
| | - Marinus M van Krimpen
- Wageningen University and Research, Wageningen Livestock Research, Wageningen, The Netherlands
| | - Mario P L Calus
- Wageningen University and Research, Wageningen Livestock Research, Wageningen, The Netherlands
| | - Jong-Eun Park
- Animal Genomics & Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju, Korea
| | - Dirkjan Schokker
- Wageningen University and Research, Wageningen Livestock Research, Wageningen, The Netherlands
| |
Collapse
|
16
|
da Silva Diniz WJ, Banerjee P, Mazzoni G, Coutinho LL, Cesar ASM, Afonso J, Gromboni CF, Nogueira ARA, Kadarmideen HN, de Almeida Regitano LC. Interplay among miR-29 family, mineral metabolism, and gene regulation in Bos indicus muscle. Mol Genet Genomics 2020; 295:1113-1127. [PMID: 32444960 DOI: 10.1007/s00438-020-01683-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 05/04/2020] [Indexed: 11/26/2022]
Abstract
An interplay between gene expression, mineral concentration, and beef quality traits in Bos indicus muscle has been reported previously under a network approach. However, growing evidence suggested that miRNAs not only modulate gene expression but are also involved with mineral homeostasis. To our knowledge, understanding of the miRNA-gene expression-mineral concentration relationship in mammals is still minimal. Therefore, we carried out a miRNA co-expression and multi-level miRNA-mRNA integration analyses to predict the putative drivers (miRNAs and genes) associated with muscle mineral concentration in Nelore steers. In this study, we identified calcium and iron to be the pivotal minerals associated with miRNAs and gene targets. Furthermore, we identified the miR-29 family (miR-29a, -29b, -29c, -29d-3p, and -29e) as the putative key regulators modulating mineral homeostasis. The miR-29 family targets genes involved with AMPK, insulin, mTOR, and thyroid hormone signaling pathways. Finally, we reported an interplay between miRNAs and minerals acting cooperatively to modulate co-expressed genes and signaling pathways both involved with mineral and energy homeostasis in Nelore muscle. Although we provided some evidence to understand this complex relationship, future work should determine the functional implications of minerals for miRNA levels and their feedback regulation system.\\An interplay between gene expression, mineral concentration, and beef quality traits in Bos indicus muscle has been reported previously under a network approach. However, growing evidence suggested that miRNAs not only modulate gene expression but are also involved with mineral homeostasis. To our knowledge, understanding of the miRNA-gene expression-mineral concentration relationship in mammals is still minimal. Therefore, we carried out a miRNA co-expression and multi-level miRNA-mRNA integration analyses to predict the putative drivers (miRNAs and genes) associated with muscle mineral concentration in Nelore steers. In this study, we identified calcium and iron to be the pivotal minerals associated with miRNAs and gene targets. Furthermore, we identified the miR-29 family (miR-29a, -29b, -29c, -29d-3p, and -29e) as the putative key regulators modulating mineral homeostasis. The miR-29 family targets genes involved with AMPK, insulin, mTOR, and thyroid hormone signaling pathways. Finally, we reported an interplay between miRNAs and minerals acting cooperatively to modulate co-expressed genes and signaling pathways both involved with mineral and energy homeostasis in Nelore muscle. Although we provided some evidence to understand this complex relationship, future work should determine the functional implications of minerals for miRNA levels and their feedback regulation system.
Collapse
Affiliation(s)
- Wellison Jarles da Silva Diniz
- Graduate Program in Evolutionary Genetics and Molecular Biology, Center for Biological and Health Sciences (CCBS), Federal University of São Carlos, São Carlos, São Paulo, Brazil
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Priyanka Banerjee
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Gianluca Mazzoni
- Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Luiz Lehmann Coutinho
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Aline Silva Mello Cesar
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Juliana Afonso
- Graduate Program in Evolutionary Genetics and Molecular Biology, Center for Biological and Health Sciences (CCBS), Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | - Caio Fernando Gromboni
- IFBA, Bahia Federal Institute of Education Science and Technology, Campus Ilhéus, Ilhéus, Bahia, Brazil
| | - Ana Rita Araújo Nogueira
- Empresa Brasileira de Pesquisa Agropecuária, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil
| | - Haja N Kadarmideen
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | | |
Collapse
|
17
|
Afonso J, Fortes MRS, Reverter A, Diniz WJDS, Cesar ASM, Lima AOD, Petrini J, de Souza MM, Coutinho LL, Mourão GB, Zerlotini A, Gromboni CF, Nogueira ARA, Regitano LCDA. Genetic regulators of mineral amount in Nelore cattle muscle predicted by a new co-expression and regulatory impact factor approach. Sci Rep 2020; 10:8436. [PMID: 32439843 PMCID: PMC7242321 DOI: 10.1038/s41598-020-65454-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 05/04/2020] [Indexed: 12/11/2022] Open
Abstract
Mineral contents in bovine muscle can affect meat quality, growth, health, and reproductive traits. To better understand the genetic basis of this phenotype in Nelore (Bos indicus) cattle, we analysed genome-wide mRNA and miRNA expression data from 114 muscle samples. The analysis implemented a new application for two complementary algorithms: the partial correlation and information theory (PCIT) and the regulatory impact factor (RIF), in which we included the estimated genomic breeding values (GEBVs) for the phenotypes additionally to the expression levels, originally proposed for these methods. We used PCIT to determine putative regulatory relationships based on significant associations between gene expression and GEBVs for each mineral amount. Then, RIF was adopted to determine the regulatory impact of genes and miRNAs expression over the GEBVs for the mineral amounts. We also investigated over-represented pathways, as well as pieces of evidences from previous studies carried in the same population and in the literature, to determine regulatory genes for the mineral amounts. For example, NOX1 expression level was positively correlated to Zinc and has been described as Zinc-regulated in humans. Based on our approach, we were able to identify genes, miRNAs and pathways not yet described as underlying mineral amount. The results support the hypothesis that extracellular matrix interactions are the core regulator of mineral amount in muscle cells. Putative regulators described here add information to this hypothesis, expanding the knowledge on molecular relationships between gene expression and minerals.
Collapse
Affiliation(s)
- Juliana Afonso
- Department of Evolutionary Genetics and Molecular Biology, Federal University of São Carlos, São Carlos, Brazil
| | - Marina Rufino Salinas Fortes
- School of Chemistry and Molecular Biosciences, Faculty of Sciences, The University of Queensland, Brisbane, Australia
| | - Antonio Reverter
- Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Australia
| | | | - Aline Silva Mello Cesar
- Department of Agroindustry, Food and Nutrition, University of São Paulo/ESALQ, Piracicaba, Brazil
| | - Andressa Oliveira de Lima
- Department of Evolutionary Genetics and Molecular Biology, Federal University of São Carlos, São Carlos, Brazil
| | - Juliana Petrini
- Department of Statistics, Institute of Exact Sciences, Federal University of Alfenas, Alfenas, 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
| | | | | | | |
Collapse
|
18
|
de Lima AO, Koltes JE, Diniz WJS, de Oliveira PSN, Cesar ASM, Tizioto PC, Afonso J, de Souza MM, Petrini J, Rocha MIP, Cardoso TF, Neto AZ, Coutinho LL, Mourão GB, Regitano LCA. Potential Biomarkers for Feed Efficiency-Related Traits in Nelore Cattle Identified by Co-expression Network and Integrative Genomics Analyses. Front Genet 2020; 11:189. [PMID: 32194642 PMCID: PMC7064723 DOI: 10.3389/fgene.2020.00189] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 02/17/2020] [Indexed: 12/14/2022] Open
Abstract
Feed efficiency helps to reduce environmental impacts from livestock production, improving beef cattle profitability. We identified potential biomarkers (hub genes) for feed efficiency, by applying co-expression analysis in Longissimus thoracis RNA-Seq data from 180 Nelore steers. Six co-expression modules were associated with six feed efficiency-related traits (p-value ≤ 0.05). Within these modules, 391 hub genes were enriched for pathways as protein synthesis, muscle growth, and immune response. Trait-associated transcription factors (TFs) ELF1, ELK3, ETS1, FLI1, and TCF4, were identified with binding sites in at least one hub gene. Gene expression of CCDC80, FBLN5, SERPINF1, and OGN was associated with multiple feed efficiency-related traits (FDR ≤ 0.05) and were previously related to glucose homeostasis, oxidative stress, fat mass, and osteoblastogenesis, respectively. Potential regulatory elements were identified, integrating the hub genes with previous studies from our research group, such as the putative cis-regulatory elements (eQTLs) inferred as affecting the PCDH18 and SPARCL1 hub genes related to immune system and adipogenesis, respectively. Therefore, our analyses contribute to a better understanding of the biological mechanisms underlying feed efficiency in bovine and the hub genes disclosed can be used as biomarkers for feed efficiency-related traits in Nelore cattle.
Collapse
Affiliation(s)
- Andressa O de Lima
- Center for Biological and Health Sciences, Federal University of São Carlos, São Carlos, Brazil
| | - James E Koltes
- Department of Animal Science, Iowa State University, Ames, IA, United States
| | - Wellison J S Diniz
- Center for Biological and Health Sciences, Federal University of São Carlos, São Carlos, Brazil
| | | | - Aline S M Cesar
- Department of Agroindustry, Food and Nutrition, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | | | - Juliana Afonso
- Center for Biological and Health Sciences, Federal University of São Carlos, São Carlos, Brazil
| | - Marcela M de Souza
- Department of Animal Science, Iowa State University, Ames, IA, United States
| | - Juliana Petrini
- Exact Sciences Institute, Federal University of Alfenas, Alfenas, Brazil
| | - Marina I P Rocha
- Center for Biological and Health Sciences, Federal University of São Carlos, São Carlos, Brazil
| | - Tainã F Cardoso
- Embrapa Pecuária Sudeste, Empresa Brazileira de Pesquisa Agropecuária, São Carlos, Brazil
| | - Adhemar Zerlotini Neto
- Embrapa Informática Agropecuária, Empresa Brazileira de Pesquisa Agropecuária, Campinas, Brazil
| | - Luiz L Coutinho
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Gerson B Mourão
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Luciana C A Regitano
- Embrapa Pecuária Sudeste, Empresa Brazileira de Pesquisa Agropecuária, São Carlos, Brazil
| |
Collapse
|
19
|
Carmelo VAO, Banerjee P, da Silva Diniz WJ, Kadarmideen HN. Metabolomic networks and pathways associated with feed efficiency and related-traits in Duroc and Landrace pigs. Sci Rep 2020; 10:255. [PMID: 31937890 PMCID: PMC6959238 DOI: 10.1038/s41598-019-57182-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 12/23/2019] [Indexed: 02/06/2023] Open
Abstract
Improving feed efficiency (FE) is a major goal of pig breeding, reducing production costs and providing sustainability to the pig industry. Reliable predictors for FE could assist pig producers. We carried out untargeted blood metabolite profiling in uncastrated males from Danbred Duroc (n = 59) and Danbred Landrace (n = 50) pigs at the beginning and end of a FE testing phase to identify biomarkers and biological processes underlying FE and related traits. By applying linear modeling and clustering analyses coupled with WGCNA framework, we identified 102 and 73 relevant metabolites in Duroc and Landrace based on two sampling time points. Among them, choline and pyridoxamine were hub metabolites in Duroc in early testing phase, while, acetoacetate, cholesterol sulfate, xanthine, and deoxyuridine were identified in the end of testing. In Landrace, cholesterol sulfate, thiamine, L-methionine, chenodeoxycholate were identified at early testing phase, while, D-glutamate, pyridoxamine, deoxycytidine, and L-2-aminoadipate were found at the end of testing. Validation of these results in larger populations could establish FE prediction using metabolomics biomarkers. We conclude that it is possible to identify a link between blood metabolite profiles and FE. These results could lead to improved nutrient utilization, reduced production costs, and increased FE.
Collapse
Affiliation(s)
- Victor Adriano Okstoft Carmelo
- Quantitative Genomics, Bioinformatics and Computational Biology, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Priyanka Banerjee
- Quantitative Genomics, Bioinformatics and Computational Biology, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Wellison Jarles da Silva Diniz
- Quantitative Genomics, Bioinformatics and Computational Biology, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.,Department of Genetics and Evolution, Federal University of São Carlos, São Carlos, Brazil
| | - Haja N Kadarmideen
- Quantitative Genomics, Bioinformatics and Computational Biology, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.
| |
Collapse
|
20
|
Diniz WJDS, Banerjee P, Regitano LCA. Cross talk between mineral metabolism and meat quality: a systems biology overview. Physiol Genomics 2019; 51:529-538. [PMID: 31545932 DOI: 10.1152/physiolgenomics.00072.2019] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Meat quality has an inherent complexity because of the multiple interrelated causative factors and layers of feedback regulation. Understanding the key factors and their interactions has been challenging, despite the availability of remarkable high-throughput tools and techniques that have provided insights on muscle metabolism and the genetic basis of meat quality. Likewise, we have deepened our knowledge about mineral metabolism and its role in cell functioning. Regardless of these facts, complex traits like mineral content and meat quality have been studied under reductionist approaches. However, as these phenotypes arise from complex interactions among different biological layers (genome, transcriptome, proteome, epigenome, etc.), along with environmental effects, a holistic view and systemic-level understanding of the genetic basis of complex phenotypes are in demand. Based on the state of the art, we addressed some of the questions regarding the interdependence of meat quality traits and mineral content. Furthermore, we sought to highlight potential regulatory mechanisms arising from the genes, miRNAs, and mineral interactions, as well as the pathways modulated by this interplay affecting muscle, mineral metabolism, and meat quality. By answering these questions, we did not intend to give an exhaustive review but to identify the key biological points, the challenges, and benefits of integrative genomic approaches.
Collapse
Affiliation(s)
- Wellison J da Silva Diniz
- Center for Biological and Health Sciences (CCBS), Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | - Priyanka Banerjee
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Luciana C A Regitano
- Embrapa Pecuária Sudeste, Empresa Brasileira de Pesquisa Agropecuária, São Carlos, São Paulo, Brazil
| |
Collapse
|