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Nawaz AH, Setthaya P, Feng C. Exploring Evolutionary Adaptations and Genomic Advancements to Improve Heat Tolerance in Chickens. Animals (Basel) 2024; 14:2215. [PMID: 39123741 PMCID: PMC11311085 DOI: 10.3390/ani14152215] [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: 05/31/2024] [Revised: 07/24/2024] [Accepted: 07/29/2024] [Indexed: 08/12/2024] Open
Abstract
Climate change poses a significant threat to the poultry industry, especially in hot climates that adversely affect chicken growth, development, and productivity through heat stress. This literature review evaluates the evolutionary background of chickens with the specific genetic characteristics that can help chickens to cope with hot conditions. Both natural selection and human interventions have influenced the genetic characteristics of the breeds used in the current poultry production system. The domestication of chickens from the Red junglefowl (Gallus gallus) has resulted in the development of various breeds with distinct genetic differences. Over the past few years, deliberate breeding for desirable traits (such as meat production and egg quality) in chickens has resulted in the emergence of various economically valuable breeds. However, this selective breeding has also caused a decrease in the genetic diversity of chickens, making them more susceptible to environmental stressors like heat stress. Consequently, the chicken breeds currently in use may possess a limited ability to adapt to challenging conditions, such as extreme heat. This review focuses on evaluating potential genes and pathways responsible for heat tolerance, including heat shock response, antioxidant defense systems, immune function, and cellular homeostasis. This article will also discuss the physiological and behavioral responses of chicken varieties that exhibit genetic resistance to heat, such as the naked neck and dwarf traits in different indigenous chickens. This article intends to review the current genomic findings related to heat tolerance in chickens that used methods such as the genome-wide association study (GWAS) and quantitative trait loci (QTL) mapping, offering valuable insights for the sustainability of poultry in the face of global warming.
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Affiliation(s)
- Ali Hassan Nawaz
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China;
| | - Phatthawin Setthaya
- Multidisciplinary Research Institute, Chiang Mai University, Chiang Mai 50200, Thailand;
| | - Chungang Feng
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China;
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2
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Deng C, Li M, Wang T, Duan W, Guo A, Ma G, Yang F, Dai F, Li Q. Integrating genomics and transcriptomics to identify candidate genes for high-altitude adaptation and egg production in Nixi chicken. Br Poult Sci 2024:1-13. [PMID: 38922310 DOI: 10.1080/00071668.2024.2367228] [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: 01/30/2024] [Accepted: 05/17/2024] [Indexed: 06/27/2024]
Abstract
1. This study combined genome-wide selection signal analysis with RNA-sequencing to identify candidate genes associated with high altitude adaptation and egg production performance in Nixi chickens (NXC).2. Based on the whole-genome data from 20 NXC (♂:10; ♀:10), the population selection signal was analysed by sliding window analysis. The selected genes were screened by combination with the population differentiation statistic (FST). The sequence diversity statistic (θπ). RNA-seq was performed on the ovarian tissues of NXC (n = 6) and Lohmann laying hens (n = 6) to analyse the differentially expressed genes (DEGs) between the two groups. The functional enrichment analysis of the selected genes and differentially expressed genes was performed.3. There were 742 genes under strong positive selection and 509 differentially expressed genes screened in NXC. Integrated analysis of the genome and transcriptome revealing 26 overlapping genes. The candidate genes for adaptation to a high-altitude environment, as well as for egg production, disease resistance, vision and pigmentation in NXC were preliminarily screened.4. The results provided theoretical guidance for further research on the genetic resource protection and utilisation of NXC.
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Affiliation(s)
- C Deng
- College of Biology and Food Engineering, Southwest Forestry University, Kunming, China
| | - M Li
- School of Mathematics and Computer Science, Yunnan Nationalities University, Kunming, China
| | - T Wang
- School of Pharmacy, Chengdu University, Chengdu, China
| | - W Duan
- College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - A Guo
- College of Biology and Food Engineering, Southwest Forestry University, Kunming, China
| | - G Ma
- Agricultural and Rural Bureau of Gejiu County, Honghe, China
| | - F Yang
- Agricultural and Rural Bureau of Gejiu County, Honghe, China
| | - F Dai
- College of Veterinary Medicine, Yunnan Agricultural University, Kunming, China
| | - Q Li
- College of Biology and Food Engineering, Southwest Forestry University, Kunming, China
- Kunming Xianghao Technology Co. Ltd., Kunming, China
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3
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Budi T, Singchat W, Tanglertpaibul N, Thong T, Panthum T, Noito K, Wattanadilokchatkun P, Jehangir M, Chaiyes A, Wongloet W, Vangnai K, Yokthongwattana C, Sinthuvanich C, Ahmad SF, Muangmai N, Han K, Nunome M, Supnithi T, Koga A, Duengkae P, Matsuda Y, Srikulnath K. Research Note: Possible influence of thermal selection on patterns of HSP70 and HSP90 gene polymorphisms in Thai indigenous and local chicken breeds and red junglefowls. Poult Sci 2024; 103:103503. [PMID: 38330888 PMCID: PMC10864794 DOI: 10.1016/j.psj.2024.103503] [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: 10/16/2023] [Revised: 01/06/2024] [Accepted: 01/22/2024] [Indexed: 02/10/2024] Open
Abstract
The thermal stress caused by global climate change adversely affects the welfare, productivity, and reproductive performance of farm animals, including chickens, and causes substantial economic losses. However, the understanding of the genetic basis of the indigenous chicken adaptation to high ambient temperatures is limited. Hence, to reveal the genetic basis of thermal stress adaptation in chickens, this study investigated polymorphisms in the heat shock protein 70 (HSP70) and HSP90 genes, known mechanisms of cellular defense against thermal stress in indigenous and local chicken breeds and red junglefowls in Thailand. The result revealed seven alleles of the HSP70 gene. One allele exhibited a missense mutation, where an amino acid changed from Asn to His in the substrate-binding and peptide-binding domains, which is exclusive to the Lao Pa Koi chicken breed. Twenty new alleles with silent mutations in the HSP90 gene highlighted its greater complexity. Despite this diversity, distinct population structures were not found for either HSP70 or HSP90, which suggests incomplete impact on the domestication process and selection. The low genetic diversity, shown by the sharing of alleles between red junglefowls and Thai indigenous and local chicken breeds, aligns with the hypothesis that these alleles have undergone selection in tropical regions, such as Thailand. Selection signature analysis suggests the purifying selection of HSP70 for thermotolerance. This study provides valuable insights for enhancing the conservation of genetic resources with thermotolerant traits, which are essential for developing breeding programs to increase poultry production in the context of global climate change.
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Affiliation(s)
- Trifan Budi
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand
| | - Worapong Singchat
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, Chatuchak, Bangkok 10900, Thailand
| | - Nivit Tanglertpaibul
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand
| | - Thanyapat Thong
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand
| | - Thitipong Panthum
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand
| | - Kantika Noito
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand
| | - Pish Wattanadilokchatkun
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand
| | - Maryam Jehangir
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand
| | - Aingorn Chaiyes
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; School of Agriculture and Cooperatives, Sukhothai Thammathirat Open University, Nonthaburi 11120, Thailand
| | - Wongsathit Wongloet
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, Chatuchak, Bangkok 10900, Thailand
| | - Kanithaporn Vangnai
- Department of Food Science and Technology, Faculty of Agro-Industry, Kasetsart University, Bangkok, 10900, Thailand
| | - Chotika Yokthongwattana
- Department of Biochemistry, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand
| | - Chomdao Sinthuvanich
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; Department of Biochemistry, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand
| | - Syed Farhan Ahmad
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, Chatuchak, Bangkok 10900, Thailand
| | - Narongrit Muangmai
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; Department of Fishery Biology, Faculty of Fisheries, Kasetsart University, Bangkok 10900, Thailand
| | - Kyudong Han
- Department of Microbiology, Dankook University, Cheonan 31116, Republic of Korea; Bio-Medical Engineering Core Facility Research Center, Dankook University, Cheonan 31116, Republic of Korea; Smart Animal Bio institute, Dankook University, Cheonan 31116, Republic of Korea
| | - Mitsuo Nunome
- Department of Zoology, Faculty of Science, Okayama University of Science, Kita-ku, Okayama 700-0005, Japan
| | - Thepchai Supnithi
- National Electronics and Computer Technology Center (NECTEC), Khlong Luang, Pathum Thani 12120, Thailand
| | - Akihiko Koga
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand
| | - Prateep Duengkae
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, Chatuchak, Bangkok 10900, Thailand
| | - Yoichi Matsuda
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand
| | - Kornsorn Srikulnath
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; Center for Advanced Studies in Tropical Natural Resources, National Research University-Kasetsart University (CASTNAR, NRU-KU), Kasetsart University, Bangkok 10900, Thailand.
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Gu LH, Wu RR, Zheng XL, Fu A, Xing ZY, Chen YY, He ZC, Lu LZ, Qi YT, Chen AH, Zhang YP, Xu TS, Peng MS, Ma C. Genomic insights into local adaptation and phenotypic diversity of Wenchang chickens. Poult Sci 2024; 103:103376. [PMID: 38228059 PMCID: PMC10823079 DOI: 10.1016/j.psj.2023.103376] [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: 09/27/2023] [Revised: 12/02/2023] [Accepted: 12/08/2023] [Indexed: 01/18/2024] Open
Abstract
Wenchang chicken, a prized local breed in Hainan Province of China renowned for its exceptional adaptability to tropical environments and good meat quality, is deeply favored by the public. However, an insufficient understanding of its population architecture and the unclear genetic basis that governs its typical attributes have posed challenges in the protection and breeding of this precious breed. To address these gaps, we conducted whole-genome resequencing on 200 Wenchang chicken samples derived from 10 distinct strains, and we gathered data on an array of 21 phenotype traits. Population genomics analysis unveiled distinctive population structures in Wenchang chickens, primarily attributed to strong artificial selection for different feather colors. Selection sweep analysis identified a group of candidate genes, including PCDH9, DPF3, CDIN1, and SUGCT, closely linked to adaptations that enhance resilience in tropical island habitats. Genome-wide association studies (GWAS) highlighted potential candidate genes associated with diverse feather color traits, encompassing TYR, RAB38, TRPM1, GABARAPL2, CDH1, ZMIZ1, LYST, MC1R, and SASH1. Through the comprehensive analysis of high-quality genomic and phenotypic data across diverse Wenchang chicken resource groups, this study unveils the intricate genetic backgrounds and population structures of Wenchang chickens. Additionally, it identifies multiple candidate genes linked to environmental adaptation, feather color variations, and production traits. These insights not only provide genetic reference for the purification and breeding of Wenchang chickens but also broaden our understanding of the genetic basis of phenotypic diversity in chickens.
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Affiliation(s)
- Li-Hong Gu
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571199, China
| | - Ran-Ran Wu
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xin-Li Zheng
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571199, China
| | - An Fu
- Wenchang City Wenchang Chicken Research Institute, Wenchang 571300, China
| | - Zeng-Yang Xing
- Wenchang Long-quan Wenchang Chicken Industrial Co., Ltd., Wenchang 571346, China
| | - Yi-Yong Chen
- Hainan Chuang Wen Wenchang Chicken Industry Co., Ltd., Wenchang 571321, China
| | - Zhong-Chun He
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571199, China
| | - Li-Zhi Lu
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Yan-Tao Qi
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571199, China
| | - An-Hong Chen
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571199, China
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming 650091, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tie-Shan Xu
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China
| | - Min-Sheng Peng
- Wenchang City Wenchang Chicken Research Institute, Wenchang 571300, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Cheng Ma
- Wenchang City Wenchang Chicken Research Institute, Wenchang 571300, China.
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5
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Zhao Y, Su C, He B, Nie R, Wang Y, Ma J, Song J, Yang Q, Hao J. Dispersal from the Qinghai-Tibet plateau by a high-altitude butterfly is associated with rapid expansion and reorganization of its genome. Nat Commun 2023; 14:8190. [PMID: 38081828 PMCID: PMC10713551 DOI: 10.1038/s41467-023-44023-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 11/28/2023] [Indexed: 12/18/2023] Open
Abstract
Parnassius glacialis is a typical "Out of the QTP" alpine butterfly that originated on the Qinghai-Tibet Plateau (QTP) and dispersed into relatively low-altitude mountainous. Here we assemble a chromosome-level genome of P. glacialis and resequence 9 populations in order to explore the genome evolution and local adaptation of this species. These results indicated that the rapid accumulation and slow unequal recombination of transposable elements (TEs) contributed to the formation of its large genome. Several ribosomal gene families showed extensive expansion and selective evolution through transposon-mediated processed pseudogenes. Additionally, massive structural variations (SVs) of TEs affected the genetic differentiation of low-altitude populations. These low-altitude populations might have experienced a genetic bottleneck in the past and harbor genes with selective signatures which may be responsible for the potential adaptation to low-altitude environments. These results provide a foundation for understanding genome evolution and local adaptation for "Out of the QTP" of P. glacialis.
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Affiliation(s)
- Youjie Zhao
- College of Life Sciences, Anhui Normal University, Wuhu, 241000, China
- College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming, 650224, Yunnan, China
| | - Chengyong Su
- College of Life Sciences, Anhui Normal University, Wuhu, 241000, China
| | - Bo He
- College of Life Sciences, Anhui Normal University, Wuhu, 241000, China
| | - Ruie Nie
- College of Life Sciences, Anhui Normal University, Wuhu, 241000, China
| | - Yunliang Wang
- College of Life Sciences, Anhui Normal University, Wuhu, 241000, China
| | - Junye Ma
- State Key Laboratory of Palaeobiology and Stratigraphy, Center for Excellence in Life and Palaeoenvironment, Nanjing Institute of Geology and Paleontology, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Jingyu Song
- College of Animal Science, Shandong Agricultural University, Taian, 271000, China
| | - Qun Yang
- State Key Laboratory of Palaeobiology and Stratigraphy, Center for Excellence in Life and Palaeoenvironment, Nanjing Institute of Geology and Paleontology, Chinese Academy of Sciences, Nanjing, 210008, China.
- Nanjing College, University of Chinese Academy of Sciences, Nanjing, 211135, China.
| | - Jiasheng Hao
- College of Life Sciences, Anhui Normal University, Wuhu, 241000, China.
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6
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Uyanga VA, Bello SF, Qian X, Chao N, Li H, Zhao J, Wang X, Jiao H, Onagbesan OM, Lin H. Transcriptomics analysis unveils key potential genes associated with brain development and feeding behavior in the hypothalamus of L-citrulline-fed broiler chickens. Poult Sci 2023; 102:103136. [PMID: 37844531 PMCID: PMC10585647 DOI: 10.1016/j.psj.2023.103136] [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: 07/10/2023] [Revised: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 10/18/2023] Open
Abstract
High ambient temperature is a major environmental stressor affecting poultry production, especially in the tropical and subtropical regions of the world. Nutritional interventions have been adopted to combat thermal stress in poultry, including the use of amino acids. L-citrulline is a nonessential amino acid that is involved in nitric oxide generation and thermoregulation, however, the molecular mechanisms behind L-citrulline's regulation of body temperature are still unascertained. This study investigated the global gene expression in the hypothalamus of chickens fed either basal diet or L-citrulline-supplemented diets under different housing temperatures. Ross 308 broilers were fed with basal diet (CON) or 1% L-citrulline diet (LCT) from day-old, and later subjected to 2 environmental temperatures in a 2 by 2 factorial arrangement as follows; basal diet-fed chickens housed at 24°C (CON-TN); L-citrulline diet-fed chickens housed at 24°C (LCT-TN); basal diet-fed chickens housed at 35°C (CON-HS), and L-citrulline diet-fed chickens housed at 35°C (LCT-HS) from 22 to 42 d of age. At 42-days old, hypothalamic tissues were collected for mRNA analyses and RNA sequencing. A total of 1,019 million raw reads were generated and about 82.59 to 82.96% were uniquely mapped to genes. The gene ontology (GO) term between the CON-TN and LCT-TN groups revealed significant enrichments of pathways such as central nervous system development, and Wnt signaling pathway. On the other hand, GO terms between the CON-HS and LCT-HS groups revealed enrichments in the regulation of corticosteroid release, regulation of feeding behavior, and regulation of inflammatory response. Several potential candidate genes were identified to be responsible for central nervous system development (EMX2, WFIKKN2, SLC6A4 Wnt10a, and PHOX2B), and regulation of feed intake (NPY, AgRP, GAL, POMC, and NMU) in chickens. Therefore, this study unveils that L-citrulline can influence transcripts associated with brain development, feeding behavior, energy metabolism, and thermoregulation in chickens raised under different ambient temperatures.
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Affiliation(s)
- Victoria Anthony Uyanga
- Department of Animal Science, College of Animal Science and Veterinary Medicine, Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control, Shandong Agricultural University, Tai'an City, Shandong Province 271018, China; Department of Animal Science, Iowa State University, Ames, IA 50011, USA
| | - Semiu Folaniyi Bello
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China
| | - Xin Qian
- Department of Animal Science, College of Animal Science and Veterinary Medicine, Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control, Shandong Agricultural University, Tai'an City, Shandong Province 271018, China
| | - Ning Chao
- Department of Animal Science, College of Animal Science and Veterinary Medicine, Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control, Shandong Agricultural University, Tai'an City, Shandong Province 271018, China
| | - Haifang Li
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an 271018, China
| | - Jingpeng Zhao
- Department of Animal Science, College of Animal Science and Veterinary Medicine, Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control, Shandong Agricultural University, Tai'an City, Shandong Province 271018, China
| | - Xiaojuan Wang
- Department of Animal Science, College of Animal Science and Veterinary Medicine, Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control, Shandong Agricultural University, Tai'an City, Shandong Province 271018, China
| | - Hongchao Jiao
- Department of Animal Science, College of Animal Science and Veterinary Medicine, Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control, Shandong Agricultural University, Tai'an City, Shandong Province 271018, China
| | - Okanlawon M Onagbesan
- Department of Animal Physiology, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria
| | - Hai Lin
- Department of Animal Science, College of Animal Science and Veterinary Medicine, Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control, Shandong Agricultural University, Tai'an City, Shandong Province 271018, China.
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7
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Chen N, Xia X, Hanif Q, Zhang F, Dang R, Huang B, Lyu Y, Luo X, Zhang H, Yan H, Wang S, Wang F, Chen J, Guan X, Liu Y, Li S, Jin L, Wang P, Sun L, Zhang J, Liu J, Qu K, Cao Y, Sun J, Liao Y, Xiao Z, Cai M, Mu L, Siddiki AZ, Asif M, Mansoor S, Babar ME, Hussain T, Silva GLLP, Gorkhali NA, Terefe E, Belay G, Tijjani A, Zegeye T, Gebre MG, Ma Y, Wang Y, Huang Y, Lan X, Chen H, Migliore NR, Colombo G, Semino O, Achilli A, Sinding MHS, Lenstra JA, Cheng H, Lu W, Hanotte O, Han J, Jiang Y, Lei C. Global genetic diversity, introgression, and evolutionary adaptation of indicine cattle revealed by whole genome sequencing. Nat Commun 2023; 14:7803. [PMID: 38016956 PMCID: PMC10684552 DOI: 10.1038/s41467-023-43626-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 11/14/2023] [Indexed: 11/30/2023] Open
Abstract
Indicine cattle, also referred to as zebu (Bos taurus indicus), play a central role in pastoral communities across a wide range of agro-ecosystems, from extremely hot semiarid regions to hot humid tropical regions. However, their adaptive genetic changes following their dispersal into East Asia from the Indian subcontinent have remained poorly documented. Here, we characterize their global genetic diversity using high-quality whole-genome sequencing data from 354 indicine cattle of 57 breeds/populations, including major indicine phylogeographic groups worldwide. We reveal their probable migration into East Asia was along a coastal route rather than inland routes and we detected introgression from other bovine species. Genomic regions carrying morphology-, immune-, and heat-tolerance-related genes underwent divergent selection according to Asian agro-ecologies. We identify distinct sets of loci that contain promising candidate variants for adaptation to hot semi-arid and hot humid tropical ecosystems. Our results indicate that the rapid and successful adaptation of East Asian indicine cattle to hot humid environments was promoted by localized introgression from banteng and/or gaur. Our findings provide insights into the history and environmental adaptation of indicine cattle.
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Affiliation(s)
- Ningbo Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xiaoting Xia
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Quratulain Hanif
- National Institute for Biotechnology and Genetic Engineering, Faisalabad, 38000, Pakistan
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), 100193, Beijing, China
| | - Fengwei Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Ruihua Dang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, 650212, China
| | - Yang Lyu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xiaoyu Luo
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Hucai Zhang
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environment Science, Yunnan University, Kunming, 650500, China
| | - Huixuan Yan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Shikang Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Fuwen Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Jialei Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xiwen Guan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Yangkai Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Shuang Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Liangliang Jin
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Pengfei Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Luyang Sun
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, 650212, China
| | - Jianyong Liu
- Yunnan Academy of Grassland and Animal Science, Kunming, 650212, China
| | - Kaixing Qu
- Academy of Science and Technology, Chuxiong Normal University, Chuxiong, 675000, China
| | - Yanhong Cao
- Guangxi Vocational University of Agriculture, Nanning, 530007, China
| | - Junli Sun
- Guangxi Vocational University of Agriculture, Nanning, 530007, China
| | - Yuying Liao
- Guangxi Veterinary Research Institute, Guangxi Key Laboratory of Veterinary Biotechnology, Nanning, 530001, China
| | - Zhengzhong Xiao
- Guangxi Vocational University of Agriculture, Nanning, 530007, China
| | - Ming Cai
- Yunnan Academy of Grassland and Animal Science, Kunming, 650212, China
| | - Lan Mu
- College of Landscape and Horticulture, Southwest Forestry University, Kunming, 650224, China
| | - Amam Zonaed Siddiki
- Genomics Research Group, Department of Pathology and Parasitology, Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University (CVASU), Chattogram, 4225, Bangladesh
| | - Muhammad Asif
- National Institute for Biotechnology and Genetic Engineering, Faisalabad, 38000, Pakistan
| | - Shahid Mansoor
- National Institute for Biotechnology and Genetic Engineering, Faisalabad, 38000, Pakistan
| | - Masroor Ellahi Babar
- The University of Agriculture, Dera Ismail Khan, Khyber Pakhtunkhwa, 29050, Pakistan
| | - Tanveer Hussain
- Department of Molecular Biology, Virtual University of Pakistan, Islamabad, 44100, Pakistan
| | | | - Neena Amatya Gorkhali
- National Animal Breeding and Genetics Centre, National Animal Science Research Institute, Nepal Agriculture Research Council, Khumaltar, Lalitpur, 45200, Nepal
| | - Endashaw Terefe
- College of Agriculture and Environmental Science, Department of Animal Science, Arsi University, Asella, Ethiopia
- International Livestock Research Institute (ILRI), P.O. Box 5689, 1000, Addis Ababa, Ethiopia
| | - Gurja Belay
- College of Natural and Computational Sciences, The School of Graduate Studies, Addis Ababa University, 1000, Addis Ababa, Ethiopia
| | - Abdulfatai Tijjani
- International Livestock Research Institute (ILRI), P.O. Box 5689, 1000, Addis Ababa, Ethiopia
- The Jackson Laboratory, Bar Harbor, ME, 04609, USA
| | - Tsadkan Zegeye
- Mekelle Agricultural Research Center, P.O. Box 258, 7000, Mekelle, Tigray, Ethiopia
| | - Mebrate Genet Gebre
- School of Animal and Rangeland Science, College of Agriculture, Haramaya University, 2040, Haramaya, Oromia, Ethiopia
| | - Yun Ma
- Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, School of Agriculture, Ningxia University, Yinchuan, 750000, China
| | - Yu Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Yongzhen Huang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xianyong Lan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Hong Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Nicola Rambaldi Migliore
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100, Pavia, Italy
| | - Giulia Colombo
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100, Pavia, Italy
| | - Ornella Semino
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100, Pavia, Italy
| | - Alessandro Achilli
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100, Pavia, Italy
| | - Mikkel-Holger S Sinding
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, DK-1350, Copenhagen, Denmark
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, 3584 CM, Utrecht, The Netherlands
| | - Haijian Cheng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Shandong Key Lab of Animal Disease Control and Breeding, Jinan, 250100, China
| | - Wenfa Lu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, 130118, China
| | - Olivier Hanotte
- International Livestock Research Institute (ILRI), P.O. Box 5689, 1000, Addis Ababa, Ethiopia.
- School of Life Sciences, University of Nottingham, Nottingham, NG7 2RD, UK.
| | - Jianlin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), 100193, Beijing, China.
- Livestock Genetics Program, International Livestock Research Institute (ILRI), 00100, Nairobi, Kenya.
- Yazhouwan National Laboratory, Sanya, 572024, China.
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, 712100, China.
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
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Yang K, Zhang J, Zhao Y, Shao Y, Zhai M, Liu H, Zhang L. Whole Genome Resequencing Revealed the Genetic Relationship and Selected Regions among Baicheng-You, Beijing-You, and European-Origin Broilers. BIOLOGY 2023; 12:1397. [PMID: 37997996 PMCID: PMC10669838 DOI: 10.3390/biology12111397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/25/2023]
Abstract
As the only two You-chicken breeds in China, Baicheng-You (BCY) and Beijing-You (BJY) chickens are famous for their good meat quality. However, so far, the molecular basis of germplasm of the two You-chicken breeds is not yet clear. The genetic relationship among BCY, BJY, and European-origin broilers (BRs) was analyzed using whole genome resequencing data to contribute to this issue. A total of 18,852,372 single nucleotide polymorphisms (SNPs) were obtained in this study. After quality control, 8,207,242 SNPs were applied to subsequent analysis. The data indicated that BJY chickens possessed distant distance with BRs (genetic differentiation coefficient (FST) = 0.1681) and BCY (FST = 0.1231), respectively, while BCY and BRs had a closer relationship (FST = 0.0946). In addition, by using FST, cross-population extended haplotype homozygosity (XP-EHH), and cross-population composite likelihood ratio (XP-CLR) methods, we found 374 selected genes between BJY and BRs chickens and 279 selected genes between BCY and BJY chickens, respectively, which contained a number of important candidates or genetic variations associated with feather growth and fat deposition of BJY chickens and potential disease resistance of BCY chickens. Our study demonstrates a genome-wide view of genetic diversity and differentiation among BCY, BJY, and BRs. These results may provide useful information on a molecular basis related to the special characteristics of these broiler breeds, thus enabling us to better understand the formation mechanism of Chinese-You chickens.
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Affiliation(s)
- Kai Yang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (K.Y.); (Y.Z.)
| | - Jian Zhang
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (J.Z.); (H.L.)
| | - Yuelei Zhao
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (K.Y.); (Y.Z.)
| | - Yonggang Shao
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China; (Y.S.); (M.Z.)
| | - Manjun Zhai
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China; (Y.S.); (M.Z.)
| | - Huagui Liu
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (J.Z.); (H.L.)
| | - Lifan Zhang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (K.Y.); (Y.Z.)
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9
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Wang Y, Wang C, Hong W, Tian S, Lu Q, Wang BJ, Jin H, Zhuoma N, Lu X, Zhao H. Genomic analysis of Tibetan ground tits identifies molecular adaptations associated with cooperative breeding. Curr Zool 2023; 69:620-630. [PMID: 37637321 PMCID: PMC10449426 DOI: 10.1093/cz/zoac067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 08/16/2022] [Indexed: 08/29/2023] Open
Abstract
Cooperative breeding is a sophisticated altruistic social behavior that helps social animals to adapt to harsh environments. The Tibetan ground tit, Pseudopodoces humilis, is a high-altitude bird endemic to the Tibetan plateau. Recently, it has become an exciting system for studying the evolution of facultative cooperative breeding. To test for molecular adaptations associated with cooperative breeding, we resequenced the whole genome of ground tits from 6 wild populations that display remarkable variation in the frequency of cooperative breeding. Population structure analyses showed that the 6 populations were divided into 4 lineages, which is congruent with the major geographical distribution of the sampling sites. Using genome-wide selective sweep analysis, we identified putative positively selected genes (PSGs) in groups of tits that displayed high and low cooperative breeding rates. The total number of PSGs varied from 146 to 722 in high cooperative breeding rate populations, and from 272 to 752 in low cooperative breeding rate populations. Functional enrichment analysis of these PSGs identified several significantly enriched ontologies related to oxytocin signaling, estrogen signaling, and insulin secretion. PSGs involved in these functional ontologies suggest that molecular adaptations in hormonal regulation may have played important roles in shaping the evolution of cooperative breeding in the ground tit. Taken together, our study provides candidate genes and functional ontologies involved in molecular adaptations associated with cooperative breeding in Tibetan ground tits, and calls for a better understanding of the genetic roles in the evolution of cooperative breeding.
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Affiliation(s)
- Yi Wang
- Department of Ecology, Tibetan Centre for Ecology and Conservation at Wuhan University—Tibet University, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Chen Wang
- Department of Ecology, Tibetan Centre for Ecology and Conservation at Wuhan University—Tibet University, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Wei Hong
- Department of Ecology, Tibetan Centre for Ecology and Conservation at Wuhan University—Tibet University, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Shilin Tian
- Department of Ecology, Tibetan Centre for Ecology and Conservation at Wuhan University—Tibet University, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Qin Lu
- Department of Ecology, Tibetan Centre for Ecology and Conservation at Wuhan University—Tibet University, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Bing-Jun Wang
- Department of Ecology, Tibetan Centre for Ecology and Conservation at Wuhan University—Tibet University, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Huaiming Jin
- Research Center for Ecology, College of Science, Tibet University, Lhasa 850000, China
| | - Nima Zhuoma
- Research Center for Ecology, College of Science, Tibet University, Lhasa 850000, China
| | - Xin Lu
- Department of Ecology, Tibetan Centre for Ecology and Conservation at Wuhan University—Tibet University, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Huabin Zhao
- Department of Ecology, Tibetan Centre for Ecology and Conservation at Wuhan University—Tibet University, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China
- Research Center for Ecology, College of Science, Tibet University, Lhasa 850000, China
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10
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Amiri Ghanatsaman Z, Ayatolahi Mehrgardi A, Asadollahpour Nanaei H, Esmailizadeh A. Comparative genomic analysis uncovers candidate genes related with milk production and adaptive traits in goat breeds. Sci Rep 2023; 13:8722. [PMID: 37253766 DOI: 10.1038/s41598-023-35973-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 05/26/2023] [Indexed: 06/01/2023] Open
Abstract
During the process of animal domestication, both natural and artificial selection cause variation in allele frequencies among populations. Identifying genomic areas of selection in domestic animals may aid in the detection of genomic areas linked to ecological and economic traits. We studied genomic variation in 140 worldwide goat individuals, including 75 Asian, 30 African and 35 European goats. We further carried out comparative population genomics to detect genomic regions under selection for adaptability to harsh conditions in local Asian ecotypes and also milk production traits in European commercial breeds. In addition, we estimated the genetic distances among 140 goat individuals. The results showed that among all studied goat groups, local breeds from West and South Asia emerged as an independent group. Our search for selection signatures in local goats from West and South Asia revealed candidate genes related to adaptation to hot climate (HSPB6, HSF4, VPS13A and NBEA genes) and immune response (IL7, IL5, IL23A and LRFN5) traits. Furthermore, selection signatures in European commercial goats involved several milk production related genes, such as VPS13C, NCAM2, TMPRSS15, CSN3 and ABCG2. The identified candidate genes could be the fundamental genetic resource for enhancement of goat production and environmental-adaptive traits, and as such they should be used in goat breeding programs to select more efficient breeds.
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Affiliation(s)
- Zeinab Amiri Ghanatsaman
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, 76169-133, PB, Iran
- Animal Science Research Department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Shiraz, Iran
| | - Ahmad Ayatolahi Mehrgardi
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, 76169-133, PB, Iran.
| | - Hojjat Asadollahpour Nanaei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Ali Esmailizadeh
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, 76169-133, PB, Iran.
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11
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Tian R, Asadollahpour Nanaie H, Wang X, Dalai B, Zhao M, Wang F, Li H, Yang D, Zhang H, Li Y, Wang T, Luan T, Wu J. Genomic adaptation to extreme climate conditions in beef cattle as a consequence of cross-breeding program. BMC Genomics 2023; 24:186. [PMID: 37024818 PMCID: PMC10080750 DOI: 10.1186/s12864-023-09235-2] [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: 08/17/2022] [Accepted: 03/08/2023] [Indexed: 04/08/2023] Open
Abstract
BACKGROUND Understanding the evolutionary forces related to climate changes that have been shaped genetic variation within species has long been a fundamental pursuit in biology. In this study, we generated whole-genome sequence (WGS) data from 65 cross-bred and 45 Mongolian cattle. Together with 62 whole-genome sequences from world-wide cattle populations, we estimated the genetic diversity and population genetic structure of cattle populations. In addition, we performed comparative population genomics analyses to explore the genetic basis underlying variation in the adaptation to cold climate and immune response in cross-bred cattle located in the cold region of China. To elucidate genomic signatures that underlie adaptation to cold climate, we performed three statistical measurements, fixation index (FST), log2 nucleotide diversity (θπ ratio) and cross population composite likelihood ratio (XP-CLR), and further investigated the results to identify genomic regions under selection for cold adaptation and immune response-related traits. RESULTS By generating WGS data, we investigated the population genetic structure and phylogenetic relationship of studied cattle populations. The results revealed clustering of cattle groups in agreement with their geographic distribution. We detected noticeable genetic diversity between indigenous cattle ecotypes and commercial populations. Analysis of population structure demonstrated evidence of shared genetic ancestry between studied cross-bred population and both Red-Angus and Mongolian breeds. Among all studied cattle populations, the highest and lowest levels of linkage disequilibrium (LD) per Kb were detected in Holstein and Rashoki populations (ranged from ~ 0.54 to 0.73, respectively). Our search for potential genomic regions under selection in cross-bred cattle revealed several candidate genes related with immune response and cold shock protein on multiple chromosomes. We identified some adaptive introgression genes with greater than expected contributions from Mongolian ancestry into Molgolian x Red Angus composites such as TRPM8, NMUR1, PRKAA2, SMTNL2 and OXR1 that are involved in energy metabolism and metabolic homeostasis. In addition, we detected some candidate genes probably associated with immune response-related traits. CONCLUSION The study identified candidate genes involved in responses to cold adaptation and immune response in cross-bred cattle, including new genes or gene pathways putatively involved in these adaptations. The identification of these genes may clarify the molecular basis underlying adaptation to extreme environmental climate and as such they might be used in cattle breeding programs to select more efficient breeds for cold climate regions.
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Affiliation(s)
- Rugang Tian
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China.
| | - Hojjat Asadollahpour Nanaie
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xiao Wang
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Baolige Dalai
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Meng Zhao
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Fenf Wang
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Hui Li
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Ding Yang
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Hao Zhang
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Yuan Li
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Tingyue Wang
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Tu Luan
- Faculty of Biosciences, Norwegian University of Life Sciences, As, Norway
| | - Jianghong Wu
- College of Animal Science and Technology, Inner Mongolia Minzu University, Tongliao, China.
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12
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The study of selection signature and its applications on identification of candidate genes using whole genome sequencing data in chicken - a review. Poult Sci 2023; 102:102657. [PMID: 37054499 PMCID: PMC10123265 DOI: 10.1016/j.psj.2023.102657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 03/09/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
Chicken is a major source of protein for the increasing human population and is useful for research purposes. There are almost 1,600 distinct regional breeds of chicken across the globe, among which a large body of genetic and phenotypic variations has been accumulated due to extensive natural and artificial selection. Moreover, natural selection is a crucial force for animal domestication. Several approaches have been adopted to detect selection signatures in different breeds of chicken using whole genome sequencing (WGS) data including integrated haplotype score (iHS), cross-populated extend haplotype homozygosity test (XP-EHH), fixation index (FST), cross-population composite likelihood ratio (XP-CLR), nucleotide diversity (Pi), and others. In addition, gene enrichment analyses are utilized to determine KEGG pathways and gene ontology (GO) terms related to traits of interest in chicken. Herein, we review different studies that have adopted diverse approaches to detect selection signatures in different breeds of chicken. This review systematically summarizes different findings on selection signatures and related candidate genes in chickens. Future studies could combine different selection signatures approaches to strengthen the quality of the results thereby providing more affirmative inference. This would further aid in deciphering the importance of selection in chicken conservation for the increasing human population.
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13
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Nan J, Yang S, Zhang X, Leng T, Zhuoma J, Zhuoma R, Yuan J, Pi J, Sheng Z, Li S. Identification of candidate genes related to highland adaptation from multiple Chinese local chicken breeds by whole genome sequencing analysis. Anim Genet 2023; 54:55-67. [PMID: 36305422 DOI: 10.1111/age.13268] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 08/30/2022] [Accepted: 09/20/2022] [Indexed: 01/07/2023]
Abstract
Understanding the genetic mechanism of highland adaptation is of great importance for breeding improvement of Tibetan chickens (TBC). Some studies of TBC have identified some candidate genes and pathways from multiple subgroups, but the related genetic mechanisms remain largely unknown. Different genetic backgrounds and the independent genetic basis of highland adaptation make it difficult to identity the selective region of highland adaptation with all TBC samples. In this study, we conducted pre-analysis in a large-scale population to select a TBC subgroup with the purest and highest level of highland-specific lineage for the further analysis. Finally, the 37 samples from a TBC subgroup and 19 Lahsa White chickens were used to represent the highland group for further analysis with 80 samples from five Chinese local lowland breeds as controls. Population structure analysis revealed that highland adaptation significantly affected population stratification in Chinese local chicken breeds. Genome-wide selection signal analysis identified 201 candidate genes associated with highland adaptation of TBC, and these genes were significantly enriched in calcium signaling, vascular smooth muscle contraction and the cellular response to oxidative stress pathways. Additionally, we identified a narrow 1.76 kb region containing an overlapping region between HBZ and an active enhancer, and our identified region showed a highly significant signal. The highland group selected the haplotype with high activity to improve the oxygen-carrying capacity, thus being adapted to a hypoxic environment. We also found that STX2 was significantly selected in the highland group, thus potentially reducing the oxidative stress caused by hypoxia, and that STX2 exhibited the opposite effects on highland adaptation and reproductive traits. Our findings advance our understanding of extreme environment adaptation of highland chickens, and provide some variants and genes beneficial to TBC genetic breeding improvement.
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Affiliation(s)
- Jiuhong Nan
- State Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Sendong Yang
- State Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xiaojian Zhang
- State Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Tianze Leng
- State Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China.,Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
| | - Joan Zhuoma
- State Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China.,Neighborhood Committee Office, Xigaze City, China
| | - Rensang Zhuoma
- State Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China.,Luomai Township People's Government of Seni District, Naqu City, China
| | - Jingwei Yuan
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jinsong Pi
- Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Science, Wuhan, China
| | - Zheya Sheng
- State Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Shijun Li
- State Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China.,Key Laboratory of Smart Farming for Agricultural Animals, Ministry of Education, Huazhong Agricultural University, Wuhan, China.,Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
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14
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Genome-wide signatures of the geographic expansion and breeding of soybean. SCIENCE CHINA. LIFE SCIENCES 2023; 66:350-365. [PMID: 35997916 DOI: 10.1007/s11427-022-2158-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 06/30/2022] [Indexed: 10/15/2022]
Abstract
Soybean is a leguminous crop that provides oil and protein. Exploring the genomic signatures of soybean evolution is crucial for breeding varieties with improved adaptability to environmental extremes. We analyzed the genome sequences of 2,214 soybeans and proposed a soybean evolutionary route, i.e., the expansion of annual wild soybean (Glycine soja Sieb. & Zucc.) from southern China and its domestication in central China, followed by the expansion and local breeding selection of its landraces (G. max (L.) Merr.). We observed that the genetic introgression in soybean landraces was mostly derived from sympatric rather than allopatric wild populations during the geographic expansion. Soybean expansion and breeding were accompanied by the positive selection of flowering time genes, including GmSPA3c. Our study sheds light on the evolutionary history of soybean and provides valuable genetic resources for its future breeding.
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15
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Cheng J, Peng X, Li H, Feijó A, Xia L, Shenbrot GI, Ge D, Wen Z, Wang D, Yang Q. Similar adaptative mechanism but divergent demographic history of four sympatric desert rodents in Eurasian inland. Commun Biol 2023; 6:33. [PMID: 36635382 PMCID: PMC9837166 DOI: 10.1038/s42003-023-04415-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 01/03/2023] [Indexed: 01/13/2023] Open
Abstract
Phenotypes associated with metabolism and water retention are thought to be key to the adaptation of desert species. However, knowledge on the genetic changes and selective regimes on the similar and divergent ways to desert adaptation in sympatric and phylogenetically close desert organisms remains limited. Here, we generate a chromosome level genome assembly for Northern three-toed jerboa (Dipus sagitta) and three other high-quality genome assemblies for Siberian jerboa (Orientallactaga sibirica), Midday jird (Meriones meridianus), and Desert hamster (Phodopus roborovskii). Genomic analyses unveil that desert adaptation of the four species mainly result from similar metabolic pathways, such as arachidonic acid metabolism, thermogenesis, oxidative phosphorylation, insulin related pathway, DNA repair and protein synthesis and degradation. However, the specific evolved genes in the same adaptative molecular pathway often differ in the four species. We also reveal similar niche selection but different demographic histories and sensitivity to climate changes, which may be related to the diversified genomic adaptative features. In addition, our study suggests that nocturnal rodents have evolved some specific adaptative mechanism to desert environments compared to large desert animals. Our genomic resources will provide an important foundation for further research on desert genetic adaptations.
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Affiliation(s)
- Jilong Cheng
- grid.9227.e0000000119573309Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101 China
| | - Xingwen Peng
- grid.9227.e0000000119573309Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101 China ,grid.410726.60000 0004 1797 8419College of Life Sciences, University of Chinese Academy of Sciences, Shijingshan District, Beijing, 100049 China
| | - Hong Li
- grid.410753.4Novogene Bioinformatics Institute, Beijing, 100083 China
| | - Anderson Feijó
- grid.9227.e0000000119573309Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101 China
| | - Lin Xia
- grid.9227.e0000000119573309Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101 China
| | - Georgy I. Shenbrot
- grid.7489.20000 0004 1937 0511Mitrani Department of Desert Ecology, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Midreshet Ben-Gurion, Negev, 84990 Israel
| | - Deyan Ge
- grid.9227.e0000000119573309Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101 China
| | - Zhixin Wen
- grid.9227.e0000000119573309Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101 China
| | - Dehua Wang
- grid.9227.e0000000119573309State Key Lab of Integrated management for Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101 China
| | - Qisen Yang
- grid.9227.e0000000119573309Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101 China
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16
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Zhang J, Wang Q, Li Q, Wang Z, Zheng M, Wen J, Zhao G. Comparative functional analysis of macrophage phagocytosis in Dagu chickens and Wenchang chickens. Front Immunol 2023; 14:1064461. [PMID: 36825012 PMCID: PMC9941738 DOI: 10.3389/fimmu.2023.1064461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 01/05/2023] [Indexed: 02/09/2023] Open
Abstract
Phagocytosis of macrophages constitutes a powerful barrier to innate immunity. Differences in the phagocytic function of macrophages among chicken breeds have rarely been reported, and the molecular mechanisms underlying phagocytosis remain poorly understood. This study compared functional difference of macrophages in Dagu chickens, originated in Zhuanghe, Liaoning Province, China, and Wenchang chickens, originated from Hainan Island in the South China Sea, and explored the potential molecular mechanisms by integrated analysis of mRNA expression profiles of macrophages and whole genome sequencing. Immunological parameters in peripheral blood indicated that Dagu chickens were more resistant to Salmonella challenge at 28 days old. Phagocytosis index and phagocytosis rate of macrophages displayed Dagu chickens performed a significantly higher phagocytic ability of macrophages at 14 and 28 days old. Furthermore, comparative analysis of mRNA expression profiles of macrophages of two breeds at 28 days old revealed that 1136 differentially expressed genes (DEGs), and 22 DEGs (e.g., H2AFZ, SNRPA1, CUEDC2, S100A12) were found to be hub genes regulating phagocytosis by participating in different immunological biological signaling pathways. In addition, many DEGs and hub genes were under strong differentiation in genome between two breeds, the H2AFZ gene was an intersection of DEGs and hub genes. These results provided a comprehensive functional comparison and transcriptomic profiles of macrophages in Chinese native chicken breeds, and deepened our understanding of the genetic mechanism of innate immunity.
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Affiliation(s)
- Jin Zhang
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Qiao Wang
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Qinghe Li
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zixuan Wang
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Maiqing Zheng
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jie Wen
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Guiping Zhao
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
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17
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Shao D, Yang Y, Shi S, Tong H. Three-Dimensional Organization of Chicken Genome Provides Insights into Genetic Adaptation to Extreme Environments. Genes (Basel) 2022; 13:genes13122317. [PMID: 36553584 PMCID: PMC9778438 DOI: 10.3390/genes13122317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 12/06/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022] Open
Abstract
The high-throughput chromosome conformation capture (Hi-C) technique is widely used to study the functional roles of the three-dimensional (3D) architecture of genomes. However, the knowledge of the 3D genome structure and its dynamics during extreme environmental adaptations remains poor. Here, we characterized 3D genome architectures using the Hi-C technique for chicken liver cells. Upon comparing Lindian chicken (LDC) liver cells with Wenchang chicken (WCC) liver cells, we discovered that environmental adaptation contributed to the switching of A/B compartments, the reorganization of topologically associated domains (TADs), and TAD boundaries in both liver cells. In addition, the analysis of the switching of A/B compartments revealed that the switched compartmental genes (SCGs) were strongly associated with extreme environment adaption-related pathways, including tight junction, notch signaling pathway, vascular smooth muscle contraction, and the RIG-I-like receptor signaling pathway. The findings of this study advanced our understanding of the evolutionary role of chicken 3D genome architecture and its significance in genome activity and transcriptional regulation.
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Affiliation(s)
- Dan Shao
- Laboratory of Poultry Production, College of Animal Science, Shanxi Agricultural University, Jinzhong 030801, China
- Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou 225125, China
| | - Yu Yang
- Laboratory of Poultry Production, College of Animal Science, Shanxi Agricultural University, Jinzhong 030801, China
- Correspondence: (Y.Y.); (S.S.)
| | - Shourong Shi
- Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou 225125, China
- Correspondence: (Y.Y.); (S.S.)
| | - Haibing Tong
- Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou 225125, China
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18
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Zhao X, Zhang J, Wang H, Li H, Qu C, Wen J, Zhang X, Zhu T, Nie C, Li X, Muhatai G, Wang L, Lv X, Yang W, Zhao C, Bao H, Li J, Zhu B, Cao G, Xiong W, Ning Z, Qu L. Genomic and transcriptomic analyses reveal genetic adaptation to cold conditions in the chickens. Genomics 2022; 114:110485. [PMID: 36126832 DOI: 10.1016/j.ygeno.2022.110485] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 08/27/2022] [Accepted: 09/16/2022] [Indexed: 01/14/2023]
Abstract
Under the pressure of natural and artificial selection, domestic animals, including chickens, have evolved unique mechanisms of genetic adaptations such as high-altitude adaptation, hot and arid climate adaptation, and desert adaptation. Here, we investigated the genetic basis of cold tolerance in chicken by integrating whole-genome and transcriptome sequencing technologies. Genome-wide comparative analyses of 118 chickens living in different latitudes showed 46 genes and several pathways that may be involved in cold adaptation. The results of the functional enrichment analysis of differentially expressed genes proved the important role of metabolic pathways and immune-related pathways in cold tolerance in chickens. The subsequent integration of whole genome and transcriptome sequencing technology further identified six genes - dnah5 (dynein axonemal heavy chain 5), ptgs2 (prostaglandin-endoperoxide synthase 2), inhba (inhibin beta A subunit), irx2 (iroquois homeobox 2), ensgalg00000054917, and ensgalg00000046652 - requiring more detailed studies. In addition, we also discovered different allele frequency distributions of five SNPs (single nucleotide polymorphisms) within ptgs2 and nine SNPs within dnah5 in chickens in different latitudes, suggesting strong selective pressure of these two genes in chickens. We provide a novel insight into the genetic adaptation in chickens to cold environments, and provide a reference for evaluating and developing adaptive chicken breeds in cold environments.
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Affiliation(s)
- Xiurong Zhao
- State Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Jinxin Zhang
- State Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Huie Wang
- Xinjiang Production & Construction Corps Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Alar, Xinjiang 843300, China.
| | - Haiying Li
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830000, China.
| | - Changqing Qu
- Engineering Technology Research Center of Anti-aging Chinese Herbal Medicine of Anhui Province, Fuyang Normal University, Fuyang, Anhui 236037, China.
| | - Junhui Wen
- State Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Xinye Zhang
- State Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Tao Zhu
- State Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Changsheng Nie
- State Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Xinghua Li
- State Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Gemingguli Muhatai
- Xinjiang Production & Construction Corps Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Alar, Xinjiang 843300, China.
| | - Liang Wang
- Beijing Municipal General Station of Animal Science, Beijing 100107, China.
| | - XueZe Lv
- Beijing Municipal General Station of Animal Science, Beijing 100107, China.
| | - Weifang Yang
- Beijing Municipal General Station of Animal Science, Beijing 100107, China.
| | - Chunjiang Zhao
- State Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Haigang Bao
- State Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Junying Li
- State Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Bo Zhu
- Animal Health Supervision Institute of Zhuozhou, Hebei Province 072750, China.
| | - Guomin Cao
- Animal husbandry station of Fangchenggang, Guangxi Province 538001, China.
| | - Wenjie Xiong
- Animal Disease Prevention and Control Center of Fangchenggang, Guangxi Province 538001, China.
| | - Zhonghua Ning
- State Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Lujiang Qu
- State Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
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19
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Shi S, Shao D, Yang L, Liang Q, Han W, Xue Q, Qu L, Leng L, Li Y, Zhao X, Dong P, Walugembe M, Kayang BB, Muhairwa AP, Zhou H, Tong H. Whole Genome Analyses Reveal Novel Genes Associated with Chicken Adaptation to Tropical and Frigid Environments. J Adv Res 2022; 47:13-25. [PMID: 35907630 PMCID: PMC10173185 DOI: 10.1016/j.jare.2022.07.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 07/01/2022] [Accepted: 07/17/2022] [Indexed: 01/25/2023] Open
Abstract
INTRODUCTION Investigating the genetic footprints of historical temperature selection can get insights to the local adaptation and feasible influences of climate change on long-term population dynamics. OBJECT Chicken is a significative species to study genetic adaptation on account of its similar domestication track related to human activity with the most diversified varieties. Yet, few studies have demonstrated the genetic signatures of its adaptation to naturally tropical and frigid environments. METHOD Here, we generated whole genome resequencing of 119 domesticated chickens in China including the following breeds which are in order of breeding environmental temperature from more tropical to more frigid: Wenchang chicken (WCC), green-shell chicken (GSC), Tibetan chicken (TBC), and Lindian chicken (LDC). RESULTS Our results showed WCC branched off earlier than LDC with an evident genetic admixture between WCC and LDC, suggesting their closer genetic relationship. Further comparative genomic analyses solute carrier family 33 member 1 (SLC33A1) and thyroid stimulating hormone receptor (TSHR) genes exhibited stronger signatures for positive selection in the genome of the more tropical WCC. Furthermore, genotype data from about 3,000 African local ecotypes confirmed that allele frequencies of single nucleotide polymorphisms (SNPs) in these 2 genes appeared strongly associated with tropical environment adaptation. In addition, the NADH:ubiquinone oxidoreductase subunit S4 (NDUFS4) gene exhibited a strong signature for positive selection in the LDC genome, and SNPs with marked allele frequency differences indicated a significant relationship with frigid environment adaptation. CONCLUSION Our findings partially clarify how selection footprints from environmental temperature stress can lead to advantageous genomic adaptions to tropical and frigid environments in poultry and provide a valuable resource for selective breeding of chickens.
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Affiliation(s)
- Shourong Shi
- Poultry Institute, Chinese Academy of Agriculture Science, Yangzhou, Jiangsu 225125, China
| | - Dan Shao
- Poultry Institute, Chinese Academy of Agriculture Science, Yangzhou, Jiangsu 225125, China
| | - Lingyun Yang
- Novogene Bioinformatics Institute, Beijing 10089, China
| | - Qiqi Liang
- Novogene Bioinformatics Institute, Beijing 10089, China
| | - Wei Han
- Poultry Institute, Chinese Academy of Agriculture Science, Yangzhou, Jiangsu 225125, China
| | - Qian Xue
- Poultry Institute, Chinese Academy of Agriculture Science, Yangzhou, Jiangsu 225125, China
| | - Liang Qu
- Poultry Institute, Chinese Academy of Agriculture Science, Yangzhou, Jiangsu 225125, China
| | - Li Leng
- College of Animal Science and technology, Northeast Agricultural University, Harbin, Heilongjiang, 150038, China
| | - Yishu Li
- Tropical Crop Germplasm Research Institute, Haikou, Hainan, 571101, China
| | - Xiaogang Zhao
- Agriculture and Animal Husbandry Rural and Science and Technology Bureau, Xiangcheng County, Ganzi Tibetan Autonomous Prefecture, Sichuan, 626000, China
| | - Ping Dong
- Agriculture and Animal Husbandry Rural and Science and Technology Bureau, Xiangcheng County, Ganzi Tibetan Autonomous Prefecture, Sichuan, 626000, China
| | - Muhammed Walugembe
- Department of Animal Science, Iowa State University, 2255 Kildee Hall, Ames, IA 50011, USA
| | - Boniface B Kayang
- Department of Animal Science, University of Ghana, Legon, Accra 233, Ghana
| | - Amandus P Muhairwa
- Department of Veterinary Medicine and Public Health, College of Veterinary Medicine and Biomedical Sciences, Sokoine University of Agriculture, P.O. Box 3000 Chuo Kikuu, Morogoro, Tanzania
| | - Huaijun Zhou
- Department of Animal Science, College of Agricultural and Environmental Sciences, University of California, Davis, CA 95616, USA
| | - Haibing Tong
- Poultry Institute, Chinese Academy of Agriculture Science, Yangzhou, Jiangsu 225125, China.
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20
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Genetic diversity and signatures of selection for heat tolerance and immune response in Iranian native chickens. BMC Genomics 2022; 23:224. [PMID: 35317755 PMCID: PMC8939082 DOI: 10.1186/s12864-022-08434-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 03/02/2022] [Indexed: 12/14/2022] Open
Abstract
Background Understanding how evolutionary forces relating to climate have shaped the patterns of genetic variation within and between species is a fundamental pursuit in biology. Iranian indigenous chickens have evolved genetic adaptations to their local environmental conditions, such as hot and arid regions. In the present study, we provide a population genome landscape of genetic variations in 72 chickens representing nine Iranian indigenous ecotypes (Creeper, Isfahan, Lari, Marand, Mashhad, Naked neck, Sari, Shiraz and Yazd) and two commercial lines (White Leghorn and Arian). We further performed comparative population genomics to evaluate the genetic basis underlying variation in the adaptation to hot climate and immune response in indigenous chicken ecotypes. To detect genomic signatures of adaptation, we applied nucleotide diversity (θπ) and FST statistical measurements, and further analyzed the results to find genomic regions under selection for hot adaptation and immune response-related traits. Results By generating whole-genome data, we assessed the relationship between the genetic diversity of indigenous chicken ecotypes and their genetic distances to two different commercial lines. The results of genetic structure analysis revealed clustering of indigenous chickens in agreement with their geographic origin. Among all studied chicken groups, the highest level of linkage disequilibrium (LD) (~ 0.70) was observed in White Leghorn group at marker pairs distance of 1 Kb. The results from admixture analysis demonstrated evidence of shared ancestry between Arian individuals and indigenous chickens, especially those from the north of the country. Our search for potential genomic regions under selection in indigenous chicken ecotypes revealed several immune response and heat shock protein-related genes, such as HSP70, HSPA9, HSPH1, HSP90AB1 and PLCB4 that have been previously unknown to be involved in environmental-adaptive traits. In addition, we found some other candidate loci on different chromosomes probably related with hot adaptation and immune response-related traits. Conclusions The work provides crucial insights into the structural variation in the genome of Iranian indigenous chicken ecotypes, which up to now has not been genetically investigated. Several genes were identified as candidates for drought, heat tolerance, immune response and other phenotypic traits. These candidate genes may be helpful targets for understanding of the molecular basis of adaptation to hot environmental climate and as such they should be used in chicken breeding programs to select more efficient breeds for desert climate. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08434-7.
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21
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Genome-wide scan for selection signatures and genes related to heat tolerance in domestic chickens in the tropical and temperate regions in Asia. Poult Sci 2022; 101:101821. [PMID: 35537342 PMCID: PMC9118144 DOI: 10.1016/j.psj.2022.101821] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 02/02/2022] [Accepted: 02/28/2022] [Indexed: 11/24/2022] Open
Abstract
Heat stress is one of the major environmental stressors challenging the global poultry industry. Identifying the genes responsible for heat tolerance is fundamentally important for direct breeding programs. To uncover the genetic basis underlying the ambient temperature adaptation of chickens, we analyzed a total of 59 whole genomes from indigenous chickens that inhabit South Asian tropical regions and temperate regions from Northern China. We applied FST and π-ratio to scan selective sweeps and identified 34 genes with a signature of positive selection in chickens from tropical regions. Several of these genes are functionally implicated in metabolism (FABP2, RAMP3, SUGCT, and TSHR) and vascular smooth muscle contractility (CAMK2), and they may be associated with adaptation to tropical regions. In particular, we found a missense mutation in thyroid-stimulating hormone receptor (41020238:G>A) that shows significant differences in allele frequency between the chicken populations of the two regions. To evaluate whether the missense mutation in TSHR could enhance the heat tolerance of chickens, we constructed segregated chicken populations and conducted heat stress experiments using homozygous mutations (AA) and wild-type (GG) chickens. We found that GG chickens exhibited significantly higher concentrations of alanine aminotransferase, lactate dehydrogenase, and creatine kinase than AA chickens under heat stress (35 ± 1°C) conditions (P < 0.05). These results suggest that TSHR (41020238:G>A) can facilitate heat tolerance and adaptation to higher ambient temperature conditions in tropical climates. Overall, our results provide potential candidate genes for molecular breeding of heat-tolerant chickens.
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22
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Cádiz MI, López ME, Díaz-Domínguez D, Cáceres G, Marin-Nahuelpi R, Gomez-Uchida D, Canales-Aguirre CB, Orozco-terWengel P, Yáñez JM. Detection of selection signatures in the genome of a farmed population of anadromous rainbow trout (Oncorhynchus mykiss). Genomics 2021; 113:3395-3404. [PMID: 34339816 DOI: 10.1016/j.ygeno.2021.07.027] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 07/06/2021] [Accepted: 07/28/2021] [Indexed: 11/26/2022]
Abstract
Domestication processes and artificial selection are likely to leave signatures that can be detected at a molecular level in farmed rainbow trout (Oncorhynchus mykiss). These signatures of selection are genomic regions that contain functional genetic variants conferring a higher fitness to their bearers. We genotyped 749 rainbow trout from a commercial population using a rainbow trout Axiom 57 K SNP array panel and identified putative genomic regions under selection using the pcadapt, Composite Likelihood Ratio (CLR) and Integrated Haplotype Score (iHS) methods. After applying quality-control pipelines and statistical analyses, we detected 12, 96 and 16 SNPs putatively under selection, associated with 96, 781 and 115 candidate genes, respectively. Several of these candidate genes were associated with growth, early development, reproduction, behavior and immune system traits. In addition, some of the SNPs were found in interesting regions located in autosomal inversions on Omy05 and Omy20. These findings could represent a genome-wide map of selection signatures in farmed rainbow trout and could be important in explaining domestication and selection for genetic traits of commercial interest.
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Affiliation(s)
- María I Cádiz
- Programa de Doctorado en Ciencias Silvoagropecuarias y Veterinarias, Campus Sur, Universidad de Chile, Santa Rosa 11315, La Pintana, Santiago 8820808, Chile; Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Avenida Santa Rosa 11735, La Pintana, 8820808 Santiago, Chile; Núcleo Milenio de Salmónidos Invasores (INVASAL), Concepción, Chile
| | - María E López
- Department of Aquatic Resources, Swedish University of Agricultural Sciences, Drottningholm, Sweden
| | | | - Giovanna Cáceres
- Programa de Doctorado en Ciencias Silvoagropecuarias y Veterinarias, Campus Sur, Universidad de Chile, Santa Rosa 11315, La Pintana, Santiago 8820808, Chile; Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Avenida Santa Rosa 11735, La Pintana, 8820808 Santiago, Chile
| | - Rodrigo Marin-Nahuelpi
- Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Avenida Santa Rosa 11735, La Pintana, 8820808 Santiago, Chile; Núcleo Milenio de Salmónidos Invasores (INVASAL), Concepción, Chile
| | - Daniel Gomez-Uchida
- Departamento de Zoología, Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción, Chile; Núcleo Milenio de Salmónidos Invasores (INVASAL), Concepción, Chile
| | - Cristian B Canales-Aguirre
- Centro i~Mar, Universidad de Los Lagos, Camino Chinquihue 6 km, Puerto Montt, Chile; Núcleo Milenio de Salmónidos Invasores (INVASAL), Concepción, Chile
| | | | - José M Yáñez
- Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Avenida Santa Rosa 11735, La Pintana, 8820808 Santiago, Chile; Núcleo Milenio de Salmónidos Invasores (INVASAL), Concepción, Chile.
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23
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Zhang S, Wang J, Qu MJ, Wang K, Ma AJ, Pan XD, Zhu XY. Novel Insights into the Potential Diagnostic Value of Circulating Exosomal IncRNA-Related Networks in Large Artery Atherosclerotic Stroke. Front Mol Biosci 2021; 8:682769. [PMID: 34095232 PMCID: PMC8176956 DOI: 10.3389/fmolb.2021.682769] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 04/29/2021] [Indexed: 01/15/2023] Open
Abstract
Exosomes show diagnostic and therapeutic promise as carriers of ncRNAs in diseases. LncRNAs in exosomes have been identified as being stable and avoided degradation by nucleolytic enzymes. Although lncRNAs have been confirmed to be important in cancers, no studies for exo-lncRNAs have been reported in LAA stroke. High-throughput sequencing was performed to detect the differential expression profiles of lncRNAs in five paired plasma-derived exosome samples from patients with LAA stroke and controls (matched on vascular risk factors). Exo-lncRNA-associated networks were predicted with a combination of multiple databases. The expression of the selected genes in the networks was confirmed by qRT-PCR in a validation set (LAA vs. controls = 30:30). Furthermore, ROC analysis was used to evaluate the diagnostic performance of the lncRNA-related networks. A total of 1,020 differentially expressed lncRNAs were identified in LAA stroke patients. GO and KEGG pathway analyses indicated that their target genes are involved in atherosclerosis-related pathways, including inflammation, cell adhesion, and cell migration. qRT-PCR confirmed that the expression trend of differential expressed genes was consistent with RNA-seq. Furthermore, the AUCs of the lnc_002015-related network and lnc_001350-related network were 0.959 and 0.97, respectively, in LAA stroke. Our study showed the differential expression of lncRNAs in plasma exosomes and presented related diagnostic networks for LAA stroke for the first time. The results suggested that exosomal lncRNA-related networks could be potential diagnostic tools in LAA stroke.
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Affiliation(s)
- Shuai Zhang
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Jing Wang
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Mei Jie Qu
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Kun Wang
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Ai Jun Ma
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China.,Institute of Cerebrovascular Diseases, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xu Dong Pan
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China.,Institute of Cerebrovascular Diseases, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiao Yan Zhu
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
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24
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Rocha JL, Godinho R, Brito JC, Nielsen R. Life in Deserts: The Genetic Basis of Mammalian Desert Adaptation. Trends Ecol Evol 2021; 36:637-650. [PMID: 33863602 DOI: 10.1016/j.tree.2021.03.007] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 03/17/2021] [Accepted: 03/18/2021] [Indexed: 12/13/2022]
Abstract
Deserts are among the harshest environments on Earth. The multiple ages of different deserts and their global distribution provide a unique opportunity to study repeated adaptation at different timescales. Here, we summarize recent genomic research on the genetic mechanisms underlying desert adaptations in mammals. Several studies on different desert mammals show large overlap in functional classes of genes and pathways, consistent with the complexity and variety of phenotypes associated with desert adaptation to water and food scarcity and extreme temperatures. However, studies of desert adaptation are also challenged by a lack of accurate genotype-phenotype-environment maps. We encourage development of systems that facilitate functional analyses, but also acknowledge the need for more studies on a wider variety of desert mammals.
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Affiliation(s)
- Joana L Rocha
- CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus de Vairão, 4485-661 Vairão, Portugal; Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4169-007 Porto, Portugal.
| | - Raquel Godinho
- CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus de Vairão, 4485-661 Vairão, Portugal; Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4169-007 Porto, Portugal; Department of Zoology, University of Johannesburg, PO Box 534, Auckland Park 2006, South Africa
| | - José C Brito
- CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus de Vairão, 4485-661 Vairão, Portugal; Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4169-007 Porto, Portugal
| | - Rasmus Nielsen
- Department of Integrative Biology and Department of Statistics, University of California Berkeley, Berkeley, CA 94820, USA; Globe Institute, University of Copenhagen, DK-1165 Copenhagen, Denmark.
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