1
|
Li X, Lan F, Chen X, Yan Y, Li G, Wu G, Sun C, Yang N. Runs of homozygosity and selection signature analyses reveal putative genomic regions for artificial selection in layer breeding. BMC Genomics 2024; 25:638. [PMID: 38926812 PMCID: PMC11210043 DOI: 10.1186/s12864-024-10551-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 06/21/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND The breeding of layers emphasizes the continual selection of egg-related traits, such as egg production, egg quality and eggshell, which enhance their productivity and meet the demand of market. As the breeding process continued, the genomic homozygosity of layers gradually increased, resulting in the emergence of runs of homozygosity (ROH). Therefore, ROH analysis can be used in conjunction with other methods to detect selection signatures and identify candidate genes associated with various important traits in layer breeding. RESULTS In this study, we generated whole-genome sequencing data from 686 hens in a Rhode Island Red population that had undergone fifteen consecutive generations of intensive artificial selection. We performed a genome-wide ROH analysis and utilized multiple methods to detect signatures of selection. A total of 141,720 ROH segments were discovered in whole population, and most of them (97.35%) were less than 3 Mb in length. Twenty-three ROH islands were identified, and they overlapped with some regions bearing selection signatures, which were detected by the De-correlated composite of multiple signals methods (DCMS). Sixty genes were discovered and functional annotation analysis revealed the possible roles of them in growth, development, immunity and signaling in layers. Additionally, two-tailed analyses including DCMS and ROH for 44 phenotypes of layers were conducted to find out the genomic differences between subgroups of top and bottom 10% phenotype of individuals. Combining the results of GWAS, we observed that regions significantly associated with traits also exhibited selection signatures between the high and low subgroups. We identified a region significantly associated with egg weight near the 25 Mb region of GGA 1, which exhibited selection signatures and has higher genomic homozygosity in the low egg weight subpopulation. This suggests that the region may be play a role in the decline in egg weight. CONCLUSIONS In summary, through the combined analysis of ROH, selection signatures, and GWAS, we identified several genomic regions that associated with the production traits of layers, providing reference for the study of layer genome.
Collapse
Affiliation(s)
- Xiaochang Li
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), and National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing, 100193, China
| | - Fangren Lan
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), and National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing, 100193, China
| | - Xiaoman Chen
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), and National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing, 100193, China
| | - Yiyuan Yan
- Beijing Engineering Research Centre of Layer, Beijing, 101206, China
| | - Guangqi Li
- Beijing Engineering Research Centre of Layer, Beijing, 101206, China
| | - Guiqin Wu
- Beijing Engineering Research Centre of Layer, Beijing, 101206, China
| | - Congjiao Sun
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), and National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing, 100193, China.
| | - Ning Yang
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), and National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing, 100193, China.
| |
Collapse
|
2
|
Yuan H, Lu J. Consensus module analysis of abdominal fat deposition across multiple broiler lines. BMC Genomics 2021; 22:115. [PMID: 33568065 PMCID: PMC7876793 DOI: 10.1186/s12864-021-07423-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 02/03/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Despite several RNA-Seq and microarray studies on differentially expressed genes (DEGs) between high- and low-abdominal fat deposition in different broiler lines, to our knowledge, gene coexpression analysis across multiple broiler lines has rarely been reported. Here, we constructed a consensus gene coexpression network focused on identifying consensus gene coexpression modules associated with abdominal fat deposition across multiple broiler lines using two public RNA-Seq datasets (GSE42980 and GSE49121). RESULTS In the consensus gene coexpression network, we identified eight consensus modules significantly correlated with abdominal fat deposition across four broiler lines using the consensus module analysis function in the weighted gene coexpression network analysis (WGCNA) package. The eight consensus modules were moderately to strongly preserved in the abdominal fat RNA-Seq dataset of another broiler line (SRP058295). Furthermore, we identified 5462 DEGs between high- and low-abdominal fat lines (FL and LL) (GSE42980) and 6904 DEGs between high- and low-growth (HG and LG) (GSE49121), including 1828 overlapping DEGs with similar expression profiles in both datasets, which were clustered into eight consensus modules. Pyruvate metabolism, fatty acid metabolism, and steroid biosynthesis were significantly enriched in the green, yellow, and medium purple 3 consensus modules. The PPAR signaling pathway and adipocytokine signaling pathway were significantly enriched in the green and purple consensus modules. Autophagy, mitophagy, and lysosome were significantly enriched in the medium purple 3 and yellow consensus modules. CONCLUSION Based on lipid metabolism pathways enriched in eight consensus modules and the overexpression of numerous lipogenic genes in both FL vs. LL and HG vs. LG, we hypothesize that more fatty acids, triacylglycerols (TAGs), and cholesterol might be synthesized in broilers with high abdominal fat than in broilers with low abdominal fat. According to autophagy, mitophagy, and lysosome enrichment in eight consensus modules, we inferred that autophagy might participate in broiler abdominal fat deposition. Altogether, these studies suggest eight consensus modules associated with abdominal fat deposition in broilers. Our study also provides an idea for investigating the molecular mechanism of abdominal fat deposition across multiple broiler lines.
Collapse
Affiliation(s)
- Hui Yuan
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030, Heilongjiang, China.
| | - Jun Lu
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030, Heilongjiang, China
| |
Collapse
|
3
|
Correlations between intestinal innate immune genes and cecal microbiota highlight potential for probiotic development for immune modulation in poultry. Appl Microbiol Biotechnol 2018; 102:9317-9329. [DOI: 10.1007/s00253-018-9281-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 07/24/2018] [Accepted: 07/29/2018] [Indexed: 12/24/2022]
|
4
|
Sabino M, Capomaccio S, Cappelli K, Verini-Supplizi A, Bomba L, Ajmone-Marsan P, Cobellis G, Olivieri O, Pieramati C, Trabalza-Marinucci M. Oregano dietary supplementation modifies the liver transcriptome profile in broilers: RNASeq analysis. Res Vet Sci 2017; 117:85-91. [PMID: 29197252 DOI: 10.1016/j.rvsc.2017.11.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Revised: 11/17/2017] [Accepted: 11/18/2017] [Indexed: 12/20/2022]
Abstract
Intensive farming of broilers involves stressful conditions that reduce animal welfare and performance. New dietary strategies to improve performance and meat quality include the administration of plant extracts. Oregano (Origanum vulgare L.) is known for its antimicrobial, anti-fungal, insecticidal and antioxidant properties. However, studies on diet supplementation with oregano are mainly focused on the evaluation of animal performance, while partial information is available on transcriptomics and nutrigenomics and, in particular, Next Generation Sequencing (NGS) is not widely applied. In this study we tested the effect of an oregano aqueous extract supplemented diet on gene expression in broiler chickens. Whole liver transcriptome of 10 birds fed with a supplemented diet versus 10 controls was analyzed using the RNA-Seq technique. One hundred and twenty-nine genes were differentially expressed with an absolute log fold change >1. The analysis reveals a massive down-regulation of genes involved in fatty acid metabolism and insulin signaling pathways in broilers fed with the oregano aqueous extract supplementation. Down-regulated genes could be associated to chicken lean line, suggesting the potential beneficial effect of oregano supplementation in reducing both abdominal and visceral fat deposition. Down-regulation of insulin signaling pathway related genes suggest that dietary oregano supplementation might be an option in obesity and diabetes conditions.
Collapse
Affiliation(s)
- Marcella Sabino
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy
| | - Stefano Capomaccio
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy
| | - Katia Cappelli
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy
| | - Andrea Verini-Supplizi
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy.
| | - Lorenzo Bomba
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Paolo Ajmone-Marsan
- Istituto di Zootecnica, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy
| | - Gabriella Cobellis
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy
| | - Oliviero Olivieri
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy
| | - Camillo Pieramati
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy
| | - Massimo Trabalza-Marinucci
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy
| |
Collapse
|
5
|
Willson NL, Forder REA, Tearle RG, Nattrass GS, Hughes RJ, Hynd PI. Evaluation of fatty acid metabolism and innate immunity interactions between commercial broiler, F1 layer × broiler cross and commercial layer strains selected for different growth potentials. J Anim Sci Biotechnol 2017; 8:70. [PMID: 28883915 PMCID: PMC5580270 DOI: 10.1186/s40104-017-0202-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Accepted: 08/02/2017] [Indexed: 01/07/2023] Open
Abstract
Background The broiler industry has undergone intense genetic selection over the past 50 yr. resulting in improvements for growth and feed efficiency, however, significant variation remains for performance and growth traits. Production improvements have been coupled with unfavourable metabolic consequences, including immunological trade-offs for growth, and excess fat deposition. To determine whether interactions between fatty acid (FA) metabolism and innate immunity may be associated with performance variations commonly seen within commercial broiler flocks, total carcass lipid %, carcass and blood FA composition, as well as genes involved with FA metabolism, immunity and cellular stress were investigated in male birds of a broiler strain, layer strain and F1 layer × broiler cross at d 14 post hatch. Heterophil: lymphocyte ratios, relative organ weights and bodyweight data were also compared. Results Broiler bodyweight (n = 12) was four times that of layers (n = 12) by d 14 and had significantly higher carcass fat percentage compared to the cross (n = 6; P = 0.002) and layers (P = 0.017) which were not significantly different from each other (P = 0.523). The carcass and whole blood FA analysis revealed differences in the FA composition between the three groups indicating altered FA metabolism, despite all being raised on the same diet. Genes associated with FA synthesis and β-oxidation were upregulated in the broilers compared to the layers indicating a net overall increase in FA metabolism, which may be driven by the larger relative liver size as a percentage of bodyweight in the broilers. Genes involved in innate immunity such as TLR2 and TLR4, as well as organelle stress indicators ERN1 and XBP1 were found to be non-significant, with the exception of high expression levels of XBP1 in layers compared to the cross and broilers. Additionally there was no difference in heterophil: lymphocytes between any of the birds. Conclusions The results provide evidence that genetic selection may be associated with altered metabolic processes between broilers, layers and their F1 cross. Whilst there is no evidence of interactions between FA metabolism, innate immunity or cellular stress, further investigations at later time points as growth and fat deposition increase would provide useful information as to the effects of divergent selection on key metabolic and immunological processes.
Collapse
Affiliation(s)
- Nicky-Lee Willson
- School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA 5371 Australia.,The Australian Poultry and Cooperative Research Centre, University of New England, PO Box U242, Armidale, NSW 2351 Australia
| | - Rebecca E A Forder
- School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA 5371 Australia
| | - Rick G Tearle
- Davies Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA 5371 Australia
| | - Greg S Nattrass
- South Australian Research and Development Institute (SARDI), Livestock and Farming Systems, Roseworthy, SA 5371 Australia
| | - Robert J Hughes
- School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA 5371 Australia.,South Australian Research and Development Institute (SARDI), Pig and Poultry Production Institute, Roseworthy, SA 5371 Australia
| | - Philip I Hynd
- School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA 5371 Australia
| |
Collapse
|
6
|
Zhang T, Zhang X, Han K, Zhang G, Wang J, Xie K, Xue Q, Fan X. Analysis of long noncoding RNA and mRNA using RNA sequencing during the differentiation of intramuscular preadipocytes in chicken. PLoS One 2017; 12:e0172389. [PMID: 28199418 PMCID: PMC5310915 DOI: 10.1371/journal.pone.0172389] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Accepted: 02/03/2017] [Indexed: 02/04/2023] Open
Abstract
Long noncoding RNAs (lncRNAs) regulate metabolic tissue development and function, including adipogenesis. However, little is known about the function and profile of lncRNAs in intramuscular preadipocyte differentiation in chicken. Here, we identified lncRNAs in chicken intramuscular preadipocytes at different differentiation stages using RNA sequencing. A total of 1,311,382,604 clean reads and 25,435 lncRNAs were obtained from 12 samples. In total, 7,433 differentially expressed genes (4,698 lncRNAs and 2,735 mRNAs) were identified by pairwise comparison. These 7,433 differentially expressed genes were grouped into 11 clusters based on their expression patterns by K-means clustering. Using Weighted Gene Coexpression Network Analysis, we identified four stage-specific modules positively related to I0, I2, I4, and I6 stages and two stage-specific modules negatively related to I0 and I2 stages, respectively. Many well-known and novel pathways associated with intramuscular preadipocyte differentiation were identified. We also identified hub genes in each stage-specific module and visualized them in Cytoscape. Our analysis revealed many highly-connected genes, including XLOC_058593, BMP3, MYOD1, and LAMP3. This study provides a valuable resource for chicken lncRNA study and improves our understanding of the biology of preadipocyte differentiation in chicken.
Collapse
Affiliation(s)
- Tao Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou, Jiangsu, China
| | - Xiangqian Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou, Jiangsu, China
| | - Kunpeng Han
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou, Jiangsu, China
| | - Genxi Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou, Jiangsu, China
| | - Jinyu Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou, Jiangsu, China
- * E-mail:
| | - Kaizhou Xie
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou, Jiangsu, China
| | - Qian Xue
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou, Jiangsu, China
| | - Xiaomei Fan
- Vazyme Biotech Co.,Ltd., Economic and Technological Development Zone, Nanjing, Jiangsu, China
| |
Collapse
|
7
|
Yi B, Chen L, Sa R, Zhong R, Xing H, Zhang H. High concentrations of atmospheric ammonia induce alterations of gene expression in the breast muscle of broilers (Gallus gallus) based on RNA-Seq. BMC Genomics 2016; 17:598. [PMID: 27515403 PMCID: PMC4982197 DOI: 10.1186/s12864-016-2961-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Accepted: 07/21/2016] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND High concentrations of atmospheric ammonia are one of the key environmental stressors affecting broiler production performance, which causes remarkable economic losses as well as potential welfare problems of the broiler industry. Previous reports demonstrated that high levels of ammonia altered body fat distribution and meat quality of broilers. However, the molecular mechanisms and metabolic pathways in breast muscle altered by high concentrations of ambient ammonia exposure on broilers are still unknown. RESULTS This study utilized RNA-Seq to compare the transcriptomes of breast muscles to identify differentially enriched genes in broilers exposed to high and low concentrations of atmospheric ammonia. A total of 267 promising candidate genes were identified by differential expression analysis, among which 67 genes were up-regulated and 189 genes were down-regulated. Bioinformatics analysis suggested that the up and down-regulation of these genes were involved in the following two categories of cellular pathways and metabolisms: Steroid biosynthesis (gga00100) and peroxisome proliferator-activated receptor (PPAR) signaling pathway (gga03320), which both participated in the lipid metabolism processes. CONCLUSIONS This study suggests that longtime exposure to high concentrations of aerial ammonia can change fat content in breast muscle, meat quality and palatability via altering expression level of genes participating in important lipid metabolism pathways. These findings have provided novel insights into our understanding of molecular mechanisms of breast muscles exposed to ammonia in broilers. This study provides new information that could be used for genetic breeding and nutritional intervention in production practice of broilers industry in the future.
Collapse
Affiliation(s)
- Bao Yi
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Liang Chen
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Renna Sa
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Ruqing Zhong
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Huan Xing
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Hongfu Zhang
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| |
Collapse
|
8
|
Almeida V, Morita V, Sgavioli S, Vicentini T, Castiblanco D, Boleli I. Incubation temperature manipulation during fetal development reduces adiposity of broiler hatchlings. Poult Sci 2016; 95:316-24. [DOI: 10.3382/ps/pev327] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Accepted: 09/22/2015] [Indexed: 12/15/2022] Open
|
9
|
Fink IR, Benard EL, Hermsen T, Meijer AH, Forlenza M, Wiegertjes GF. Molecular and functional characterization of the scavenger receptor CD36 in zebrafish and common carp. Mol Immunol 2015; 63:381-93. [DOI: 10.1016/j.molimm.2014.09.010] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2014] [Revised: 09/11/2014] [Accepted: 09/17/2014] [Indexed: 11/26/2022]
|