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Fernandes AC, Reverter A, Keogh K, Alexandre PA, Afonso J, Palhares JCP, Cardoso TF, Malheiros JM, Bruscadin JJ, de Oliveira PSN, Mourão GB, de Almeida Regitano LC, Coutinho LL. Transcriptional response to an alternative diet on liver, muscle, and rumen of beef cattle. Sci Rep 2024; 14:13682. [PMID: 38871745 PMCID: PMC11176196 DOI: 10.1038/s41598-024-63619-2] [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: 12/05/2023] [Accepted: 05/30/2024] [Indexed: 06/15/2024] Open
Abstract
Feed cost represents a major economic determinant within cattle production, amounting to an estimated 75% of the total variable costs. Consequently, comprehensive approaches such as optimizing feed utilization through alternative feed sources, alongside the selection of feed-efficient animals, are of great significance. Here, we investigate the effect of two diets, traditional corn-grain fed and alternative by-product based, on 14 phenotypes related to feed, methane emission and production efficiency and on multi-tissue transcriptomics data from liver, muscle, and rumen wall, derived from 52 Nellore bulls, 26 on each diet. To this end, diets were contrasted at the level of phenotype, gene expression, and gene-phenotype network connectivity. As regards the phenotypic level, at a P value < 0.05, significant differences were found in favour of the alternative diet for average daily weight gain at finishing, dry matter intake at finishing, methane emission, carcass yield and subcutaneous fat thickness at the rib-eye muscle area. In terms of the transcriptional level of the 14,776 genes expressed across the examined tissues, we found 487, 484, and 499 genes differentially expressed due to diet in liver, muscle, and rumen, respectively (P value < 0.01). To explore differentially connected phenotypes across both diet-based networks, we focused on the phenotypes with the largest change in average number of connections within diets and tissues, namely methane emission and carcass yield, highlighting, in particular, gene expression changes involving SREBF2, and revealing the largest differential connectivity in rumen and muscle, respectively. Similarly, from examination of differentially connected genes across diets, the top-ranked most differentially connected regulators within each tissue were MEOX1, PTTG1, and BASP1 in liver, muscle, and rumen, respectively. Changes in gene co-expression patterns suggest activation or suppression of specific biological processes and pathways in response to dietary interventions, consequently impacting the phenotype. The identification of genes that respond differently to diets and their associated phenotypic effects serves as a crucial stepping stone for further investigations, aiming to build upon our discoveries. Ultimately, such advancements hold the promise of improving animal welfare, productivity, and sustainability in livestock farming.
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Affiliation(s)
- Anna Carolina Fernandes
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ-USP), Piracicaba, São Paulo, Brazil
- CSIRO Agriculture & Food, Queensland Bioscience Precinct, 306 Carmody Rd., St. Lucia, Brisbane, QLD, 4067, Australia
| | - Antonio Reverter
- CSIRO Agriculture & Food, Queensland Bioscience Precinct, 306 Carmody Rd., St. Lucia, Brisbane, QLD, 4067, Australia
| | - Kate Keogh
- CSIRO Agriculture & Food, Queensland Bioscience Precinct, 306 Carmody Rd., St. Lucia, Brisbane, QLD, 4067, Australia
- Animal and Bioscience Research Department, Teagasc, Animal & Grassland Research and Innovation Centre, Grange, Dunsany, Co. Meath, Ireland
| | - Pâmela Almeida Alexandre
- CSIRO Agriculture & Food, Queensland Bioscience Precinct, 306 Carmody Rd., St. Lucia, Brisbane, QLD, 4067, Australia
| | - Juliana Afonso
- Brazilian Agricultural Research Corporation, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil
| | | | - Tainã Figueiredo Cardoso
- Brazilian Agricultural Research Corporation, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil
| | - Jessica Moraes Malheiros
- Brazilian Agricultural Research Corporation, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil
- Beef Cattle Research Center, Animal Science Institute (IZ), Sertãozinho, São Paulo, Brazil
| | - Jennifer Jessica Bruscadin
- Center of Biological and Health Sciences, Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | | | - Gerson Barreto Mourão
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ-USP), Piracicaba, São Paulo, Brazil
| | | | - Luiz Lehmann Coutinho
- Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ-USP), Piracicaba, São Paulo, Brazil.
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Wei L, Xiao W, Chen B, Zou Z, Zhu J, Li D, Yu J, Yang H. Single nucleotide polymorphisms in the MRFs gene family associated with growth in Nile tilapia. Mol Biol Rep 2024; 51:128. [PMID: 38236311 DOI: 10.1007/s11033-023-08955-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 11/17/2023] [Indexed: 01/19/2024]
Abstract
BACKGROUND Muscle occupies most of the fish body, promoting the proliferation of fish muscle fibers can facilitate rapid growth and increase the body weight of fish. Some studiesSeveral previous suggest that Myogenic regulatory factors (MRFs) play an important role in the growth of fish. OBJECTIVE To investigate the association between the polymorphism of MRFs gene family and growth traits in Nile tilapia (Oreochromis niloticus), get more molecular markers for growth. METHODS Amplified the Nile tilapia MRFs family gene, including Myogenic determination 1 (Myod1), Myogenic determination 2 (Myod2), Myogenin (Myog), Myogenic factor 5 (Myf5), and Myogenic factor 6 (Myf6), single nucleotide polymorphism (SNP) were screened by Sanger sequencing. RESULTS A total of 16 SNP loci were screened, including six for Myf5, six for Myf6, one for Myog, one for Myod1 and two for Myod2. The growth traits were analyzed in relation to these 16 SNP loci, and the results indicated significant associations between all 16 SNP loci and the growth traits (P < 0.05). The linkage disequilibrium analysis revealed that D1 and D2 diplotypes of Myf5 gene, E1, E2, E3 and E4 of Myf6 gene, and F1 diplotype of Myod2 gene were significantly associated with superior growth traits. CONCLUSION There were 6, 6, 1, 1 and 2 growth-related molecular markers in Myf5, Myf6, Myog, Myod1 and Myod2 genes, respectively, which could be applied to the breeding of Nile tilapia.
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Affiliation(s)
- Longjie Wei
- Wuxi Fisheries College, Nanjing Agricultural University, 214081, Wuxi, China
| | - Wei Xiao
- Wuxi Fisheries College, Nanjing Agricultural University, 214081, Wuxi, China.
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, 214081, Wuxi, China.
| | - Binglin Chen
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, 214081, Wuxi, China
| | - Zhiying Zou
- Wuxi Fisheries College, Nanjing Agricultural University, 214081, Wuxi, China
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, 214081, Wuxi, China
| | - Jinglin Zhu
- Wuxi Fisheries College, Nanjing Agricultural University, 214081, Wuxi, China
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, 214081, Wuxi, China
| | - Dayu Li
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, 214081, Wuxi, China
| | - Jie Yu
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, 214081, Wuxi, China
| | - Hong Yang
- Wuxi Fisheries College, Nanjing Agricultural University, 214081, Wuxi, China.
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, 214081, Wuxi, China.
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Yin ZT, Li XQ, Sun YX, Smith J, Hincke M, Yang N, Hou ZC. Selection on the promoter regions plays an important role in complex traits during duck domestication. BMC Biol 2023; 21:303. [PMID: 38129834 PMCID: PMC10740227 DOI: 10.1186/s12915-023-01801-0] [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: 02/01/2023] [Accepted: 12/07/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Identifying the key factors that underlie complex traits during domestication is a great challenge for evolutionary and biological studies. In addition to the protein-coding region differences caused by variants, a large number of variants are located in the noncoding regions containing multiple types of regulatory elements. However, the roles of accumulated variants in gene regulatory elements during duck domestication and economic trait improvement are poorly understood. RESULTS We constructed a genomics, transcriptomics, and epigenomics map of the duck genome and assessed the evolutionary forces that have been in play across the whole genome during domestication. In total, 304 (42.94%) gene promoters have been specifically selected in Pekin duck among all selected genes. Joint multi-omics analysis reveals that 218 genes (72.01%) with selected promoters are located in open and active chromatin, and 267 genes (87.83%) with selected promoters were highly and differentially expressed in domestic trait-related tissues. One important candidate gene ELOVL3, with a strong signature of differentiation on the core promoter region, is known to regulate fatty acid elongation. Functional experiments showed that the nearly fixed variants in the top selected ELOVL3 promoter in Pekin duck decreased binding ability with HLF and increased gene expression, with the overexpression of ELOVL3 able to increase lipid deposition and unsaturated fatty acid enrichment. CONCLUSIONS This study presents genome resequencing, RNA-Seq, Hi-C, and ATAC-Seq data of mallard and Pekin duck, showing that selection of the gene promoter region plays an important role in gene expression and phenotypic changes during domestication and highlights that the variants of the ELOVL3 promoter may have multiple effects on fat and long-chain fatty acid content in ducks.
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Affiliation(s)
- Zhong-Tao Yin
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, MARA, China Agricultural University, No. 2 Yuanmingyuan West Rd, Beijing, 100193, China
| | - Xiao-Qin Li
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, MARA, China Agricultural University, No. 2 Yuanmingyuan West Rd, Beijing, 100193, China
| | - Yun-Xiao Sun
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, MARA, China Agricultural University, No. 2 Yuanmingyuan West Rd, Beijing, 100193, China
| | - Jacqueline Smith
- The Roslin Institute & R(D)SVS, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK
| | - Maxwell Hincke
- Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON, K1H 8M5, Canada
| | - Ning Yang
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, MARA, China Agricultural University, No. 2 Yuanmingyuan West Rd, Beijing, 100193, China.
| | - Zhuo-Cheng Hou
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, MARA, China Agricultural University, No. 2 Yuanmingyuan West Rd, Beijing, 100193, China.
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Li X, Zhang F, Sun Y, Sun D, Yang F, Liu Y, Hou Z. A novel candidate gene CLN8 regulates fat deposition in avian. J Anim Sci Biotechnol 2023; 14:70. [PMID: 37121996 PMCID: PMC10150489 DOI: 10.1186/s40104-023-00864-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 03/06/2023] [Indexed: 05/02/2023] Open
Abstract
BACKGROUND The fat deposition has a crucial role in animal meat flavor, and fat deposition-related traits are vital for breeding in the commercial duck industry. Avian fat-related traits are typical complex phenotypes, which need a large amount of data to analyze the genetic loci. RESULTS In this study, we performed a new phenotypic analysis of fat traits and genotyped whole-genome variations for 1,246 ducks, and combed with previous GWAS data to reach 1,880 ducks for following analysis. The carcass composition traits, subcutaneous fat weight (SFW), subcutaneous fat percentage (SFP), abdominal fat weight (AFW), abdominal fat percentage (AFP) and the body weight of day 42 (BW42) for each duck were collected. We identified a set of new loci that affect the traits related to fat deposition in avian. Among these loci, ceroid-lipofuscinosis, neuronal 8 (CLN8) is a novel candidate gene controlling fat deposition. We investigated its novel function and regulation in avian adipogenesis. Five significant SNPs (the most significant SNP, P-value = 21.37E-12) and a single haplotype were detected in the upstream of CLN8 for subcutaneous fat percentage. Subsequently, luciferase assay demonstrated that 5 linked SNPs in the upstream of the CLN8 gene significantly decreased the transcriptional activity of CLN8. Further, ATAC-seq analysis showed that transcription factor binding sites were identified in a region close to the haplotype. A set of luciferase reporter gene vectors that contained different deletion fragments of the CLN8 promoter were constructed, and the core promoter area of CLN8 was finally identified in the -1,884/-1,207 bp region of the 5' flanking sequences, which contains adipogenesis-related transcription factors binding sites. Moreover, the over-expression of CLN8 can remarkably facilitate adipocyte differentiation in ICPs. Consistent with these, the global transcriptome profiling and functional analysis of the over-expressed CLN8 in the cell line further revealed that the lipid biosynthetic process during the adipogenesis was significantly enriched. CONCLUSIONS Our results demonstrated that CLN8 is a positive regulator of avian adipocyte differentiation. These findings identify a novel function of CLN8 in adipocyte differentiation, which provides important clues for the further study of the mechanism of avian fat deposition.
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Affiliation(s)
- Xiaoqin Li
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, MARA, China Agricultural University, No. 2 Yuanmingyuan West Rd, Beijing, 100193, China
| | - Fan Zhang
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, MARA, China Agricultural University, No. 2 Yuanmingyuan West Rd, Beijing, 100193, China
| | - Yunxiao Sun
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, MARA, China Agricultural University, No. 2 Yuanmingyuan West Rd, Beijing, 100193, China
| | - Dandan Sun
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, MARA, China Agricultural University, No. 2 Yuanmingyuan West Rd, Beijing, 100193, China
| | - Fangxi Yang
- Beijing Nankou Duck Breeding Inc, Beijing, 100076, China
| | - Yongtong Liu
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, MARA, China Agricultural University, No. 2 Yuanmingyuan West Rd, Beijing, 100193, China
| | - Zhuocheng Hou
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, MARA, China Agricultural University, No. 2 Yuanmingyuan West Rd, Beijing, 100193, China.
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Characterization and Comparative Transcriptomic Analysis of Skeletal Muscle in Pekin Duck at Different Growth Stages Using RNA-Seq. Animals (Basel) 2021; 11:ani11030834. [PMID: 33809502 PMCID: PMC8000258 DOI: 10.3390/ani11030834] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 03/09/2021] [Accepted: 03/12/2021] [Indexed: 01/13/2023] Open
Abstract
Simple Summary Skeletal muscle is an important tissue and its development is strictly regulated by genes. In this study, in order to understand the muscle-related gene expression in Pekin duck, RNA-seq was performed to analyze and compare skeletal muscle at different growth stages. Alternative splicing, single nucleotide polymorphisms and insertion–deletions were detected, and 299 novel genes were discovered. MYL4, IGF2BP1, CSRP3, SPP1, KLHL31, LAMB2, LAMA2, ITGB1 and OPN played crucial roles in skeletal muscle development. Oxidative phosphorylation, ECM-receptor interaction, focal adhesion, carbon metabolism, and biosynthesis of amino acids participated in the regulation of skeletal muscle development in Pekin duck. This study provides an important reference for revealing the developmental mechanisms of pectoral and leg muscles in duck. Abstract Skeletal muscle, accounting for approximately 50% of body weight, is the largest and most important tissue. In this study, the gene expression profiles and pathways in skeletal muscle of Pekin duck were investigated and compared at embryonic day 17, 21, and 27 and postnatally at 6 months of age. An average of 49,555,936 reads in each sample was obtained from the transcriptome libraries. Over 70.0% of alternative splicing (AS) in each sample was mainly alternative 5′ first exon (transcription start site)—the first exon splicing (TSS) and alternative 3′ last exon (transcription terminal site)—the last exon splicing (TTS), indicating that TSS and TTS were the most common AS event in Pekin ducks, and these AS events were closely related to the regulation of muscle development at different growth stages. The results provided a valuable genomic resource for selective breeding and functional studies of genes. A total of 299 novel genes with ≥2 exons were obtained. There were 294 to 2806 differentially expressed genes (DEGs) in each pairwise comparison of Pekin duck. Notably, 90 DEGs in breast muscle and 9 DEGs in leg muscle were co-expressed at all developmental points. DEGs were validated by qPCR analysis, which confirmed the tendency of the expression. DEGs related to muscle development were involved in biological processes such as “endodermal cell differentiation”, “muscle cell cellular homeostasis”, “skeletal muscle tissue growth” and “skeletal muscle cell differentiation”, and were involved in pathways such as oxidative phosphorylation, ECM-receptor (extracellular matrix receptor) interaction, focal adhesion, carbon metabolism, and biosynthesis of amino acids. Some DEGs, including MYL4, IGF2BP1, CSRP3, SPP1 and KLHL31, as well as LAMB2, LAMA2, ITGB1 and OPN, played crucial roles in muscle growth and development. This study provides valuable information about the expression profile of mRNAs and pathways from duck skeletal muscle at different growth stages, and further functional study of these mRNAs and pathways could provide new ideas for studying the molecular networks of growth and development in duck skeletal muscle.
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