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Li H, Li S, Zhang H, Gu J, Dai Y, Wu R, Wang Y, Han R, Sun G, Zhang Y, Li H, Zhao Y, Li G. Integrated GWAS and transcriptome analysis reveals key genes associated with muscle fibre and fat traits in Gushi chicken. Br Poult Sci 2024:1-11. [PMID: 39364777 DOI: 10.1080/00071668.2024.2400685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 05/13/2024] [Indexed: 10/05/2024]
Abstract
1. In the following experiment meat quality traits of a Gushi-Anka F2 resource population were measured, and their heritability estimated. Intramuscular fat (IMF) had medium heritability (0.35) but leg muscle fibre density (LMD), leg muscle fibre diameter (LMF), breast muscle fibre density (BMD), fresh fat content (FFA), and absolute dry fat content (AFC) had low heritability (0-0.2). The IMF presented the most important genetic additive effect among the poultry meat quality-related traits studied.2. The phenotypic data of meat quality traits in the Gushi-Anka F2 resource population were combined with genotyping by sequencing (GBS) data to obtain genotype data. Six meat quality traits in 734 birds were analysed by GWAS. Based on these variants, 83 significant (-log10(p) > 4.42) single nucleotide polymorphisms and four quantitative trait loci (QTL) regions corresponding to 175 genes were identified. Further linkage disequilibrium (LD) analysis was conducted on chromosome 13 (Chr13) and chromosome 27 (Chr27) QTL regions.3. Based on the transcriptome data and GWAS results, 12 shared genes - ITGB3, DNAJC27, ETV4, C7orf50, FKBP1B, G3BP1, IGF2BP1, KCNH6, LOC416263, SCARA5, SMIM5 and TBL1XR1 were identified as candidate genes influencing muscle fibre and fat traits.
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Affiliation(s)
- H Li
- The Shennong Laboratory, Henan Agricultural University, Zhengzhou, Henan, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - S Li
- The Shennong Laboratory, Henan Agricultural University, Zhengzhou, Henan, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - H Zhang
- The Shennong Laboratory, Henan Agricultural University, Zhengzhou, Henan, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - J Gu
- The Shennong Laboratory, Henan Agricultural University, Zhengzhou, Henan, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Y Dai
- The Shennong Laboratory, Henan Agricultural University, Zhengzhou, Henan, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - R Wu
- The Shennong Laboratory, Henan Agricultural University, Zhengzhou, Henan, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Y Wang
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - R Han
- The Shennong Laboratory, Henan Agricultural University, Zhengzhou, Henan, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - G Sun
- The Shennong Laboratory, Henan Agricultural University, Zhengzhou, Henan, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Y Zhang
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - H Li
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Y Zhao
- College of Biological Engineering, Henan University of Technology, Zheng Zhou, Henan, China
| | - G Li
- The Shennong Laboratory, Henan Agricultural University, Zhengzhou, Henan, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
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Wang Z, Tian W, Guo Y, Wang D, Zhang Y, Zhi Y, Li D, Li W, Li Z, Jiang R, Han R, Sun G, Li G, Tian Y, Li H, Kang X, Liu X. Dynamic alternations of three-dimensional chromatin architecture contribute to phenotypic characteristics of breast muscle in chicken. Commun Biol 2024; 7:910. [PMID: 39068219 PMCID: PMC11283561 DOI: 10.1038/s42003-024-06599-3] [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: 10/15/2023] [Accepted: 07/17/2024] [Indexed: 07/30/2024] Open
Abstract
Breast muscle growth rate and intramuscular fat (IMF) content show apparent differences between fast-growing broilers and slow-growing indigenous chickens. However, the underlying genetic basis of these phenotypic characteristics remains elusive. In this study, we investigate the dynamic alterations of three-dimensional genome architecture and chromatin accessibility in breast muscle across four key developmental stages from embryo to starter chick in Arbor Acres (AA) broilers and Yufen (YF) indigenous chickens. The limited breed-specifically up-regulated genes (Bup-DEGs) are embedded in breed-specific A compartment, while a majority of the Bup-DEGs involving myogenesis and adipogenesis are regulated by the breed-specific TAD reprogramming. Chromatin loops allow distal accessible regions to interact with myogenic genes, and those loops share an extremely low similarity between chicken with different growth rate. Moreover, AA-specific loop interactions promote the expression of 40 Bup-DEGs, such as IGF1, which contributes to myofiber hypertrophy. YF-specific loop interactions or distal accessible regions lead to increased expression of 5 Bup-DEGs, including PIGO, PEMT, DHCR7, TMEM38B, and DHDH, which contribute to IMF deposition. These results help elucidate the regulation of breast muscle growth and IMF deposition in chickens.
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Affiliation(s)
- Zhang Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China
| | - Weihua Tian
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China
| | - Yulong Guo
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China
| | - Dandan Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China
| | - Yanyan Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China
| | - Yihao Zhi
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China
| | - Donghua Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China
- International Joint Research, Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China
| | - Wenting Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China
- International Joint Research, Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China
| | - Zhuanjian Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China
- International Joint Research, Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China
| | - Ruirui Jiang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China
- International Joint Research, Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China
| | - Ruili Han
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China
- International Joint Research, Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China
| | - Guirong Sun
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China
- International Joint Research, Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China
| | - Guoxi Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China
- International Joint Research, Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China
| | - Yadong Tian
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China
- International Joint Research, Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China
| | - Hong Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China.
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China.
- International Joint Research, Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China.
| | - Xiangtao Kang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China.
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China.
- International Joint Research, Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China.
| | - Xiaojun Liu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China.
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China.
- International Joint Research, Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China.
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Cui X, El-Senousey HK, Gou Z, Li L, Lin X, Fan Q, Wang Y, Jiang Z, Jiang S. Evaluation of dietary metabolizable energy concentrations on meat quality and lipid metabolism-related gene expression in yellow-feathered chickens. J Anim Physiol Anim Nutr (Berl) 2023; 107:275-285. [PMID: 36262057 DOI: 10.1111/jpn.13776] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 09/07/2022] [Accepted: 09/15/2022] [Indexed: 01/10/2023]
Abstract
This study evaluated the effects of different dietary metabolizable energy (ME) concentrations on the meat quality, carcass traits, volatile flavour and lipid metabolism-related gene expression levels in yellow-feathered chickens. In total, 600 Huxu female chickens aged 90 days were randomly assigned to six dietary treatments, each with 10 replicates of 10 birds. During the finisher phase, the birds were fed diets containing 2880 (low), 2940, 3000, 3060, 3120 and 3180 (high) kcal ME/kg. The results showed that the average daily gain of chickens increased as the dietary ME concentration increased, while the feed to gain improved (p < 0.05), and the intramuscular fat content of breast muscle increased (p < 0.05). The energy concentration had no effect on the breast muscle pH (45 min and 24 h), colour parameter (L*) or percentage of drip loss (p > 0.05), but the shear force values decreased significantly (p < 0.05). The diameter and area of the breast muscle fiber decreased and the muscle fibre density increased as the dietary ME concentration increased (p < 0.05). The highest ME concentration (3180 kcal) increased the percentages of aldehydes (hexanal, heptanal, 2,4-nonadienal, octanal, nonanal and 2-decenal), alcohols (2-nonen-1-ol, trans-2-undecen-1-ol, 7-hexadecenal, 2-hexyl-1-decanoal and n-nonadecanol-1,3,7,11-trimethyl-1-dodecanol), alkanes (2,6-dimethyl-heptadecane) and carboxylic acids (9-hexadecenoic acid), but reduced the percentages of octadecanal, octadecane, heneicosane and tetradecanal (p < 0.05). In addition, the mRNA gene expression levels of fatty acid-binding protein 3 and apolipoprotein B were significantly upregulated in the liver, whereas that of cholesteryl ester transfer protein was significantly downregulated. In conclusion, increasing the ME diet to 3180 kcal/kg significantly improved the quality and flavour of the meat from yellow-feathered broilers. our finding may help poultry producers to improve the taste of meat by regulating genes related to lipid metabolism, thereby achieving the flavour and taste characteristics preferred by consumers.
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Affiliation(s)
- Xiaoyan Cui
- College of Animal Science and Technology, Yangzhou University, P.R. China.,Institute of Animal Science, Guangdong Academy of Agricultural Sciences, State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Guangzhou, P.R. China
| | | | - Zhongyong Gou
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Guangzhou, P.R. China
| | - Long Li
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Guangzhou, P.R. China
| | - Xiajing Lin
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Guangzhou, P.R. China
| | - Qiuli Fan
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Guangzhou, P.R. China
| | - Yibing Wang
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Guangzhou, P.R. China
| | - Zongyong Jiang
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Guangzhou, P.R. China
| | - Shouqun Jiang
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Guangzhou, P.R. China
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4
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Alsoufi MA, Liu Y, Cao C, Zhao J, Kang J, Li M, Wang K, He Y, Ge C. Integrated Transcriptomics Profiling in Chahua and Digao Chickens' Breast for Assessment Molecular Mechanism of Meat Quality Traits. Genes (Basel) 2022; 14:95. [PMID: 36672833 PMCID: PMC9859260 DOI: 10.3390/genes14010095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/27/2022] [Accepted: 12/02/2022] [Indexed: 12/31/2022] Open
Abstract
Meat quality traits are an important economic trait and remain a major argument, from the producer to the consumer. However, there are a few candidate genes and pathways of chicken meat quality traits that were reported for chicken molecular breeding. The purpose of the present study is to identify the candidate genes and pathways associated with meat quality underlying variations in meat quality. Hence, transcriptome profiles of breast tissue in commercial Digao (DG, 5 male) and Chahua (CH, 5 male) native chicken breeds were analyzed at the age of 100 days. The results found 3525 differentially expressed genes (DEGs) in CH compared to DG with adjusted p-values of ≤0.05 and log2FC ≥ 0.1 FDR ≤ 0.05. Functional analysis of GO showed that the DEGs are mainly involved in the two types of processes of meat quality, such as positive regulation of the metabolic process, extracellular structure organization, collagen trimer, cellular amino acid metabolic process, cellular amino acid catabolic process, and heme binding. Functional analysis of KEGG showed that the DEGs are mainly involved in the two types of processes of meat quality, such as oxidative phosphorylation, carbon metabolism, valine, leucine, and isoleucine degradation, and fatty acid degradation. Many of the DEGs are well known to be related to meat quality, such as COL28A1, COL1A2, MB, HBAD, HBA1, ACACA, ACADL, ACSL1, ATP8A1, CAV1, FADS2, FASN, DCN, CHCHD10, AGXT2, ALDH3A2, and MORN4. Therefore, the current study detected multiple pathways and genes that could be involved in the control of the meat quality traits of chickens. These findings should be used as an essential resource to improve the accuracy of selection for meat traits in chickens using marker-assisted selection based on differentially expressed genes.
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Affiliation(s)
- Mohammed Abdulwahid Alsoufi
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
- Department of Animal Production, Faculty of Agriculture, Sana’a University, Alwehdah Street, Sana’a P.O. Box 19509, Yemen
| | - Yong Liu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Changwei Cao
- Department of Food Science and Engineering, College of Biological Sciences, Southwest Forestry University, Kunming 650224, China
| | - Jinbo Zhao
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Jiajia Kang
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Mengyuan Li
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Kun Wang
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Yang He
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Changrong Ge
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
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5
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Nie F, Zhang J, Li M, Chang X, Duan H, Li H, Zhou J, Ji Y, Guo L. Transcriptome analysis of thymic tissues from Chinese Partridge Shank chickens with or without Newcastle disease virus LaSota vaccine injection via high-throughput RNA sequencing. Bioengineered 2022; 13:9131-9144. [PMID: 35403571 PMCID: PMC9161911 DOI: 10.1080/21655979.2021.2008737] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Affiliation(s)
- Furong Nie
- Henan University of Animal Husbandry and Economy, Zhengzhou, China
| | - Jingfeng Zhang
- Henan University of Animal Husbandry and Economy, Zhengzhou, China
| | - Mengyun Li
- Henan University of Animal Husbandry and Economy, Zhengzhou, China
| | - Xuanniu Chang
- Henan University of Animal Husbandry and Economy, Zhengzhou, China
| | - Haitao Duan
- Henan University of Animal Husbandry and Economy, Zhengzhou, China
| | - Haoyan Li
- Henan Chenxia Biomedical Co., Ltd, Zhengzhou, China
| | - Jia Zhou
- Henan University of Animal Husbandry and Economy, Zhengzhou, China
| | - Yudan Ji
- Henan University of Animal Husbandry and Economy, Zhengzhou, China
| | - Liangxing Guo
- Henan University of Animal Husbandry and Economy, Zhengzhou, China
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6
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Qi X, Gu H, Qu L. Transcriptome-Wide Analyses Identify Dominant as the Predominantly Non-Conservative Alternative Splicing Inheritance Patterns in F1 Chickens. Front Genet 2021; 12:774240. [PMID: 34925458 PMCID: PMC8678468 DOI: 10.3389/fgene.2021.774240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 11/05/2021] [Indexed: 11/25/2022] Open
Abstract
Transcriptome analysis has been used to investigate many economically traits in chickens; however, alternative splicing still lacks a systematic method of study that is able to promote proteome diversity, and fine-tune expression dynamics. Hybridization has been widely utilized in chicken breeding due to the resulting heterosis, but the dynamic changes in alternative splicing during this process are significant yet unclear. In this study, we performed a reciprocal crossing experiment involving the White Leghorn and Cornish Game chicken breeds which exhibit major differences in body size and reproductive traits, and conducted RNA sequencing of the brain, muscle, and liver tissues to identify the inheritance patterns. A total of 40 515 and 42 612 events were respectively detected in the brain and muscle tissues, with 39 843 observed in the liver; 2807, 4242, and 4538 events significantly different between two breeds were identified in the brain, muscle, and liver tissues, respectively. The hierarchical cluster of tissues from different tissues from all crosses, based on the alternative splicing profiles, suggests high tissue and strain specificity. Furthermore, a comparison between parental strains and hybrid crosses indicated that over one third of alternative splicing genes showed conserved patterns in all three tissues, while the second prevalent pattern was non-additive, which included both dominant and transgressive patterns; this meant that the dominant pattern plays a more important role than suppression. Our study provides an overview of the inheritance patterns of alternative splicing in layer and broiler chickens, to better understand post-transcriptional regulation during hybridization.
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Affiliation(s)
- Xin Qi
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Hongchang Gu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Lujiang Qu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
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7
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Khwatenge CN, Kimathi BM, Nahashon SN. Transcriptome Analysis and Expression of Selected Cationic Amino Acid Transporters in the Liver of Broiler Chicken Fed Diets with Varying Concentrations of Lysine. Int J Mol Sci 2020; 21:E5594. [PMID: 32764289 PMCID: PMC7460557 DOI: 10.3390/ijms21165594] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Revised: 07/24/2020] [Accepted: 08/03/2020] [Indexed: 11/28/2022] Open
Abstract
Amino acids are known to play a key role in gene expression regulation. Amino acid signaling is mediated via two pathways: the mammalian target of rapamycin complex 1 (mTORC1) and the amino acid responsive (AAR) pathways. Cationic amino acid transporters (CATs) are crucial in these pathways due to their sensing, signaling and transport functions. The availability of certain amino acids plays a key role in the intake of other amino acids, hence affecting growth in young birds. However, the specific mechanism for regulating lysine transport for growth is not clear. In this study, we analyze the transcriptome profiles and mRNA expression of selected cationic amino acid transporters in the livers of broilers fed low and high lysine diets. Birds consumed high-lysine (1.42% lysine) or low-lysine (0.85% lysine) diets while the control group consumed 1.14% lysine diet. These concentrations of lysine represent 125% (high lysine), 75% (low lysine) and 100% (control), respectively, of the National Research Council's (NRC) recommendation for broiler chickens. After comparing the two groups, 210 differentially expressed genes (DEGs) were identified (fold change >1 and false discovery rate (FDR) <0.05). When comparing the high lysine and the low lysine treatments, there were 67 upregulated genes and 143 downregulated genes among these DEGs. Analysis of Kyoto Encyclopedia of Genes and Genomes (KEGG) and the Gene Ontology (GO) enrichment analysis show that cellular growth, lipid metabolism and lysine metabolism pathways were among the significantly enriched pathways. This study contributes to a better understanding of the potential molecular mechanisms underlying the correlation between lysine intake, body weight gain (BWG) and feed intake (FI) in broiler chickens. Moreover, the DEGs obtained in this study may be used as potential candidate genes for further investigation of broiler growth customized responses to individualized nutrients such as amino acids.
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Affiliation(s)
- Collins N. Khwatenge
- Department of Biological Sciences, Tennessee State University, Nashville, TN 37209, USA; (C.N.K.); (B.M.K.)
- Department of Agricultural and Environmental Sciences, Tennessee State University, Nashville, TN 37209, USA
| | - Boniface M. Kimathi
- Department of Biological Sciences, Tennessee State University, Nashville, TN 37209, USA; (C.N.K.); (B.M.K.)
- Department of Agricultural and Environmental Sciences, Tennessee State University, Nashville, TN 37209, USA
| | - Samuel N. Nahashon
- Department of Agricultural and Environmental Sciences, Tennessee State University, Nashville, TN 37209, USA
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8
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Li D, Sun G, Zhang M, Cao Y, Zhang C, Fu Y, Li F, Li G, Jiang R, Han R, Li Z, Wang Y, Tian Y, Liu X, Li W, Kang X. Breeding history and candidate genes responsible for black skin of Xichuan black-bone chicken. BMC Genomics 2020; 21:511. [PMID: 32703156 PMCID: PMC7376702 DOI: 10.1186/s12864-020-06900-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Accepted: 07/09/2020] [Indexed: 12/21/2022] Open
Abstract
Background Domesticated chickens have a wide variety of phenotypes, in contrast with their wild progenitors. Unlike other chicken breeds, Xichuan black-bone chickens have blue-shelled eggs, and black meat, beaks, skin, bones, and legs. The breeding history and the economically important traits of this breed have not yet been explored at the genomic level. We therefore used whole genome resequencing to analyze the breeding history of the Xichuan black-bone chickens and to identify genes responsible for its unique phenotype. Results Principal component and population structure analysis showed that Xichuan black-bone chicken is in a distinct clade apart from eight other breeds. Linkage disequilibrium analysis showed that the selection intensity of Xichuan black-bone chickens is higher than for other chicken breeds. The estimated time of divergence between the Xichuan black-bone chickens and other breeds is 2.89 ka years ago. Fst analysis identified a selective sweep that contains genes related to melanogenesis. This region is probably associated with the black skin of the Xichuan black-bone chickens and may be the product of long-term artificial selection. A combined analysis of genomic and transcriptomic data suggests that the candidate gene related to the black-bone trait, EDN3, might interact with the upstream ncRNA LOC101747896 to generate black skin color during melanogenesis. Conclusions These findings help explain the unique genetic and phenotypic characteristics of Xichuan black-bone chickens, and provide basic research data for studying melanin deposition in animals.
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Affiliation(s)
- Donghua Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Guirong Sun
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Meng Zhang
- The First Hospital, Jilin University, Changchun, 130062, Jilin, China
| | - Yanfang Cao
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Chenxi Zhang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Yawei Fu
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Fang Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Guoxi Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Ruirui Jiang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Ruili Han
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Zhuanjian Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Yanbin Wang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Yadong Tian
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Xiaojun Liu
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Wenting Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.
| | - Xiangtao Kang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China. .,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China.
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9
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Muhammad II, Kong SL, Akmar Abdullah SN, Munusamy U. RNA-seq and ChIP-seq as Complementary Approaches for Comprehension of Plant Transcriptional Regulatory Mechanism. Int J Mol Sci 2019; 21:E167. [PMID: 31881735 PMCID: PMC6981605 DOI: 10.3390/ijms21010167] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Revised: 12/19/2019] [Accepted: 12/23/2019] [Indexed: 02/07/2023] Open
Abstract
The availability of data produced from various sequencing platforms offer the possibility to answer complex questions in plant research. However, drawbacks can arise when there are gaps in the information generated, and complementary platforms are essential to obtain more comprehensive data sets relating to specific biological process, such as responses to environmental perturbations in plant systems. The investigation of transcriptional regulation raises different challenges, particularly in associating differentially expressed transcription factors with their downstream responsive genes. In this paper, we discuss the integration of transcriptional factor studies through RNA sequencing (RNA-seq) and Chromatin Immunoprecipitation sequencing (ChIP-seq). We show how the data from ChIP-seq can strengthen information generated from RNA-seq in elucidating gene regulatory mechanisms. In particular, we discuss how integration of ChIP-seq and RNA-seq data can help to unravel transcriptional regulatory networks. This review discusses recent advances in methods for studying transcriptional regulation using these two methods. It also provides guidelines for making choices in selecting specific protocols in RNA-seq pipelines for genome-wide analysis to achieve more detailed characterization of specific transcription regulatory pathways via ChIP-seq.
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Affiliation(s)
- Isiaka Ibrahim Muhammad
- Laboratory of Plantation Science and Technology, Institute of Plantation Studies, Universiti Putra Malaysia, Selangor 43400, Malaysia; (I.I.M.); (S.L.K.); (U.M.)
| | - Sze Ling Kong
- Laboratory of Plantation Science and Technology, Institute of Plantation Studies, Universiti Putra Malaysia, Selangor 43400, Malaysia; (I.I.M.); (S.L.K.); (U.M.)
| | - Siti Nor Akmar Abdullah
- Laboratory of Plantation Science and Technology, Institute of Plantation Studies, Universiti Putra Malaysia, Selangor 43400, Malaysia; (I.I.M.); (S.L.K.); (U.M.)
- Department of Agriculture Technology, Faculty of Agriculture, Universiti Putra Malaysia, Selangor 43400, Malaysia
| | - Umaiyal Munusamy
- Laboratory of Plantation Science and Technology, Institute of Plantation Studies, Universiti Putra Malaysia, Selangor 43400, Malaysia; (I.I.M.); (S.L.K.); (U.M.)
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10
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Albooshoke SN, Bakhtiarizadeh MR. Divergent gene expression through PI3K/akt signalling pathway cause different models of hypertrophy growth in chicken. ITALIAN JOURNAL OF ANIMAL SCIENCE 2019. [DOI: 10.1080/1828051x.2019.1634498] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- S. N. Albooshoke
- Department of Animal Science, Khuzestan Agricultural and Natural Resources, Research and Education Center, AREEO, Ahwaz, Iran
| | - M. R. Bakhtiarizadeh
- Department of Animal Science, College of Aburaihan, Iran University of Tehran, Tehran, Iran
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11
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Li D, Wang X, Fu Y, Zhang C, Cao Y, Wang J, Zhang Y, Li Y, Chen Y, Li Z, Li W, Jiang R, Sun G, Tian Y, Li G, Kang X. Transcriptome Analysis of the Breast Muscle of Xichuan Black-Bone Chickens Under Tyrosine Supplementation Revealed the Mechanism of Tyrosine-Induced Melanin Deposition. Front Genet 2019; 10:457. [PMID: 31156710 PMCID: PMC6529781 DOI: 10.3389/fgene.2019.00457] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 04/30/2019] [Indexed: 01/18/2023] Open
Abstract
The Xichuan black-bone chicken, which is a rare local chicken species in China, is an important genetic resource of black-bone chickens. Tyrosine can affect melanin production, but the molecular mechanism underlying tyrosine-induced melanin deposition in Xichuan black-bone chickens is poorly understood. Here, the blackness degree and melanin content of the breast muscle of Xichuan black-bone chickens fed a basic diet with five levels of added tyrosine (i.e., 0.2, 0.4, 0.6, 0.8, and 1.0%; these groups were denoted test groups I-V, respectively) were assessed, and the results showed that 0.8% tyrosine was the optimal level of added tyrosine. Moreover, the effects of tyrosine supplementation on the proliferation and tyrosinase content of melanocytes in Xichuan black-bone chickens were evaluated. The results revealed a dose-dependent relationship between tyrosine supplementation and melanocyte proliferation. In addition, 417 differentially expressed genes (DEGs), including 160 upregulated genes and 257 downregulated genes, were identified in a comparative analysis of the transcriptome profiles constructed using the pooled total RNA from breast muscle tissues of the control group and test group IV, respectively (fold change ≥2.0, P < 0.05). These DEGs were mainly involved in melanogenesis, the calcium signaling pathway, the Wnt signaling pathway, the mTOR signaling pathway, and vascular smooth muscle contraction. The pathway analysis of the DEGs identified some key genes associated with pigmentation, such as DCT and EDNRB2. In summary, the melanin content of breast muscle could be markedly enhanced by adding an appropriate amount of tyrosine to the diet of Xichuan black-bone chickens, and the EDNRB2-mediated molecular regulatory network could play a key role in the biological process of tyrosine-induced melanin deposition. These results have deepened the understanding of the molecular regulatory mechanism of melanin deposition in black-bone chickens and provide a basis for the regulation of nutrition and genetic breeding associated with melanin deposition in Xichuan black-bone chickens.
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Affiliation(s)
- Donghua Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Xinlei Wang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Yawei Fu
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Chenxi Zhang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Yanfang Cao
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Jie Wang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Yanhua Zhang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Yuanfang Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Yi Chen
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Zhuanjian Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Wenting Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Ruirui Jiang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Henan Agricultural University, Zhengzhou, China
| | - Guirong Sun
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Henan Agricultural University, Zhengzhou, China
| | - Yadong Tian
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Henan Agricultural University, Zhengzhou, China
| | - Guoxi Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Henan Agricultural University, Zhengzhou, China
| | - Xiangtao Kang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Henan Agricultural University, Zhengzhou, China
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12
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Li D, Li F, Jiang K, Zhang M, Han R, Jiang R, Li Z, Tian Y, Yan F, Kang X, Sun G. Integrative analysis of long noncoding RNA and mRNA reveals candidate lncRNAs responsible for meat quality at different physiological stages in Gushi chicken. PLoS One 2019; 14:e0215006. [PMID: 30964907 PMCID: PMC6456248 DOI: 10.1371/journal.pone.0215006] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 03/25/2019] [Indexed: 12/14/2022] Open
Abstract
Long noncoding RNAs (lncRNAs) play important roles in transcriptional and posttranscriptional regulation. However, the effects of lncRNAs on the meat quality of chicken hasn’t been elucidated clearly yet. Gushi chickens are popular in China because of their superior meat quality, particularly the tender flesh, and unique flavor. Gushi chickens are popular in China because of their superior meat quality, delicate flesh, and unique flavor. We performed RNA-Seq analysis of breast muscle from Gushi chicken at two physiological stages, including juvenile (G20W) and laying (G55W). In total, 186 lncRNAs and 881 mRNAs were differentially expressed between G20W and G55W (fold change ≥ 2.0, P < 0.05). Among them, 131 lncRNAs presented upregulated and 55 were downregulated. We identified the cis and trans target genes of the differentially expressed lncRNAs, and constructed lncRNA-mRNA interaction networks. The results showed that differentially expressed mRNAs and lncRNAs were mainly involved in ECM-receptor interaction, glycerophospholipid metabolism, ubiquitin-mediated proteolysis, and the biosynthesis of amino acids. In summary, our study utilized RNA-seq analysis to predict the functions of lncRNA on chicken meat quality. Furthermore, comprehensive analysis identified lncRNAs and their target genes, which may contribute to a better understanding of the molecular mechanisms underlying in poultry meat quality and provide a theoretical basis for further research.
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Affiliation(s)
- Donghua Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Fang Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Keren Jiang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Meng Zhang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Ruili Han
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
| | - Ruirui Jiang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
| | - Zhuanjian Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
| | - Yadong Tian
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
| | - Fengbin Yan
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
| | - Xiangtao Kang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
- * E-mail: (GRS); (XTK)
| | - Guirong Sun
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, China
- * E-mail: (GRS); (XTK)
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13
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Transcriptome profile in bursa of Fabricius reveals potential mode for stress-influenced immune function in chicken stress model. BMC Genomics 2018; 19:918. [PMID: 30545299 PMCID: PMC6293626 DOI: 10.1186/s12864-018-5333-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2018] [Accepted: 11/29/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The molecular mechanisms underlying stress-influenced immune function of chicken (Gallus Gallus) are not clear. The stress models can be established effectively by feeding chickens corticosterone (CORT) hormone. The bursa of Fabricius is a unique central immune organ of birds. RNA-Seq technology was used to investigate differences in the expression profiles of immune-related genes and associated pathways in the bursa of Fabricius to clarify molecular mechanisms. The aim of this study was to broaden the understanding of the stress-influenced immune function in chickens. RESULTS Differentially expressed genes (DEGs) in the bursa of Fabricius between experimental group (basal diet with added CORT 30 mg/kg; C_B group) and control group (basal diet; B_B group) were identified by using RNA-seq technology. In total, we found 1434 significant DEGs (SDEGs), which included 199 upregulated and 1235 downregulated genes in the C_B group compared with the B_B group. The immune system process GO term was the top significantly GO term, including MYD88, TLR4, IL15, VEGFA gene and so on. The cytokine-cytokine receptor interaction pathway and the Toll-like receptor signaling pathway were the key pathways affected by stress. The protein-protein interaction (PPI) analysis of the SDEGs showed that VEGFA, MyD88 and IL15 were hub genes and module analysis showed that MYD88, TLR4 and VEGFA play important roles in response to stress. CONCLUSION This study showed that the VEGFA and ILs (such as IL15) via the cytokine-cytokine receptor interaction pathway, MYD88 and TLR4 via the Toll-like receptor signaling pathway may play important roles in the regulation of immune function under stress condition with CORT administration. The results of this study provide a reference for further studies of the molecular mechanisms of stress-influenced immune function.
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