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Wongloet W, Singchat W, Chaiyes A, Ali H, Piangporntip S, Ariyaraphong N, Budi T, Thienpreecha W, Wannakan W, Mungmee A, Jaisamut K, Thong T, Panthum T, Ahmad SF, Lisachov A, Suksavate W, Muangmai N, Chuenka R, Nunome M, Chamchumroon W, Han K, Nuangmek A, Matsuda Y, Duengkae P, Srikulnath K. Environmental and Socio-Cultural Factors Impacting the Unique Gene Pool Pattern of Mae Hong-Son Chicken. Animals (Basel) 2023; 13:1949. [PMID: 37370459 PMCID: PMC10295432 DOI: 10.3390/ani13121949] [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: 03/03/2023] [Revised: 06/08/2023] [Accepted: 06/08/2023] [Indexed: 06/29/2023] Open
Abstract
Understanding the genetic diversity of domestic chicken breeds under the impact of socio-cultural and ecological dynamics is vital for the conservation of natural resources. Mae Hong Son chicken is a local breed of North Thai domestic chicken widely distributed in Mae Hong Son Province, Thailand; however, its genetic characterization, origin, and diversity remain poorly understood. Here, we studied the socio-cultural, environmental, and genetic aspects of the Mae Hong Son chicken breed and investigated its diversity and allelic gene pool. We genotyped 28 microsatellite markers and analyzed mitochondrial D-loop sequencing data to evaluate genetic diversity and assessed spatial habitat suitability using maximum entropy modeling. Sequence diversity analysis revealed a total of 188 genotyped alleles, with overall nucleotide diversity of 0.014 ± 0.007, indicating that the Mae Hong Son chicken population is genetically highly diverse, with 35 (M1-M35) haplotypes clustered into haplogroups A, B, E, and F, mostly in the North ecotype. Allelic gene pool patterns showed a unique DNA fingerprint of the Mae Hong Son chicken, as compared to other breeds and red junglefowl. A genetic introgression of some parts of the gene pool of red junglefowl and other indigenous breeds was identified in the Mae Hong Son chicken, supporting the hypothesis of the origin of the Mae Hong Son chicken. During domestication in the past 200-300 years after the crossing of indigenous chickens and red junglefowl, the Mae Hong Son chicken has adapted to the highland environment and played a significant socio-cultural role in the Northern Thai community. The unique genetic fingerprint of the Mae Hong Son chicken, retaining a high level of genetic variability that includes a dynamic demographic and domestication history, as well as a range of ecological factors, might reshape the adaptation of this breed under selective pressure.
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Affiliation(s)
- Wongsathit Wongloet
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Worapong Singchat
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Aingorn Chaiyes
- School of Agriculture and Cooperatives, Sukhothai Thammathirat Open University, Nonthaburi 11120, Thailand;
| | - Hina Ali
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
| | - Surachai Piangporntip
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
- School of Integrated Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Bureau of Conservation and Research, Zoological Park Organization of Thailand, Bangkok 10300, Thailand
| | - Nattakan Ariyaraphong
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Laboratory of Animal Cytogenetics and Comparative Genomics (ACCG), Department of Genetics, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Trifan Budi
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
| | - Worawit Thienpreecha
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
| | - Wannapa Wannakan
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
| | - Autchariyapron Mungmee
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
| | - Kittipong Jaisamut
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
| | - Thanyapat Thong
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
| | - Thitipong Panthum
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Syed Farhan Ahmad
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Artem Lisachov
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
| | - Warong Suksavate
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Narongrit Muangmai
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
- Department of Fishery Biology, Faculty of Fisheries, Kasetsart University, Bangkok 10900, Thailand
| | | | - Mitsuo Nunome
- Department of Zoology, Faculty of Science, Okayama University of Science, Ridai-cho 1-1, Kita-ku, Okayama 700-0005, Japan;
| | - Wiyada Chamchumroon
- Department of National Park, Wildlife and Plant Conservation, Ministry of Natural Resources and Environment, Bangkok 10900, Thailand;
| | - Kyudong Han
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
- Department of Microbiology, Dankook University, Cheonan 31116, Republic of Korea
- Bio-Medical Engineering Core Facility Research Center, Dankook University, Cheonan 31116, Republic of Korea
| | - Aniroot Nuangmek
- Mae Hong Son Provincial Livestock Office, Department of Livestock Development, Ministry of Agriculture and Cooperatives, Mae Hong Son 58000, Thailand;
| | - Yoichi Matsuda
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
| | - Prateep Duengkae
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Kornsorn Srikulnath
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (W.W.); (W.S.); (H.A.); (S.P.); (N.A.); (T.B.); (W.T.); (W.W.); (A.M.); (K.J.); (T.T.); (T.P.); (S.F.A.); (A.L.); (W.S.); (N.M.); (K.H.); (Y.M.); (P.D.)
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- School of Integrated Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Laboratory of Animal Cytogenetics and Comparative Genomics (ACCG), Department of Genetics, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Amphibian Research Center, Hiroshima University, 1-3-1, Kagamiyama, Higashihiroshima 739-8526, Japan
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Liu X, Song Z, Li Y, Yao Y, Fang M, Bai C, An P, Chen H, Chen Z, Tang B, Shen J, Gao X, Zhang M, Chen P, Zhang T, Jia H, Liu X, Hou Y, Yang H, Wang J, Wang F, Xu X, Min J, Nie C, Zeng Y. Integrated genetic analyses revealed novel human longevity loci and reduced risks of multiple diseases in a cohort study of 15,651 Chinese individuals. Aging Cell 2021; 20:e13323. [PMID: 33657282 PMCID: PMC7963337 DOI: 10.1111/acel.13323] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 01/16/2021] [Accepted: 01/23/2021] [Indexed: 12/14/2022] Open
Abstract
There is growing interest in studying the genetic contributions to longevity, but limited relevant genes have been identified. In this study, we performed a genetic association study of longevity in a total of 15,651 Chinese individuals. Novel longevity loci, BMPER (rs17169634; p = 7.91 × 10-15 ) and TMEM43/XPC (rs1043943; p = 3.59 × 10-8 ), were identified in a case-control analysis of 11,045 individuals. BRAF (rs1267601; p = 8.33 × 10-15 ) and BMPER (rs17169634; p = 1.45 × 10-10 ) were significantly associated with life expectancy in 12,664 individuals who had survival status records. Additional sex-stratified analyses identified sex-specific longevity genes. Notably, sex-differential associations were identified in two linkage disequilibrium blocks in the TOMM40/APOE region, indicating potential differences during meiosis between males and females. Moreover, polygenic risk scores and Mendelian randomization analyses revealed that longevity was genetically causally correlated with reduced risks of multiple diseases, such as type 2 diabetes, cardiovascular diseases, and arthritis. Finally, we incorporated genetic markers, disease status, and lifestyles to classify longevity or not-longevity groups and predict life span. Our predictive models showed good performance (AUC = 0.86 for longevity classification and explained 19.8% variance of life span) and presented a greater predictive efficiency in females than in males. Taken together, our findings not only shed light on the genetic contributions to longevity but also elucidate correlations between diseases and longevity.
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Affiliation(s)
- Xiaomin Liu
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
- BGI Education Center University of Chinese Academy of Sciences Shenzhen China
| | - Zijun Song
- The First Affiliated Hospital Institute of Translational Medicine School of Medicine, Zhejiang University Hangzhou China
| | - Yan Li
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Yao Yao
- Center for the Study of Aging and Human Development Medical School of Duke University Durham USA
- Center for Healthy Aging and Development Studies National School of Development, Raissun Institute for Advanced Studies, Peking University Beijing China
| | - Mingyan Fang
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Chen Bai
- Center for Healthy Aging and Development Studies National School of Development, Raissun Institute for Advanced Studies, Peking University Beijing China
- School of Labor and Human Resources Renmin University Beijing China
| | - Peng An
- Beijing Advanced Innovation Center for Food Nutrition and Human Health China Agricultural University Beijing China
| | - Huashuai Chen
- Business School of Xiangtan University Xiangtan China
| | - Zhihua Chen
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Biyao Tang
- The First Affiliated Hospital Institute of Translational Medicine School of Medicine, Zhejiang University Hangzhou China
| | - Juan Shen
- BGI Genomics BGI‐Shenzhen Shenzhen China
| | - Xiaotong Gao
- The First Affiliated Hospital Institute of Translational Medicine School of Medicine, Zhejiang University Hangzhou China
| | | | - Pengyu Chen
- The First Affiliated Hospital Institute of Translational Medicine School of Medicine, Zhejiang University Hangzhou China
| | - Tao Zhang
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Huijue Jia
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Xiao Liu
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Yong Hou
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Huanming Yang
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Jian Wang
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Fudi Wang
- The First Affiliated Hospital Institute of Translational Medicine School of Medicine, Zhejiang University Hangzhou China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health China Agricultural University Beijing China
| | - Xun Xu
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
- Guangdong Provincial Key Laboratory of Genome Read and Write Shenzhen China
| | - Junxia Min
- The First Affiliated Hospital Institute of Translational Medicine School of Medicine, Zhejiang University Hangzhou China
| | - Chao Nie
- BGI‐Shenzhen Shenzhen China
- China National Genebank Shenzhen China
| | - Yi Zeng
- Center for the Study of Aging and Human Development Medical School of Duke University Durham USA
- Center for Healthy Aging and Development Studies National School of Development, Raissun Institute for Advanced Studies, Peking University Beijing China
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Wu Y, Zhang Y, Hou Z, Fan G, Pi J, Sun S, Chen J, Liu H, Du X, Shen J, Hu G, Chen W, Pan A, Yin P, Chen X, Pu Y, Zhang H, Liang Z, Jian J, Zhang H, Wu B, Sun J, Chen J, Tao H, Yang T, Xiao H, Yang H, Zheng C, Bai M, Fang X, Burt DW, Wang W, Li Q, Xu X, Li C, Yang H, Wang J, Yang N, Liu X, Du J. Population genomic data reveal genes related to important traits of quail. Gigascience 2018; 7:4995262. [PMID: 29762663 PMCID: PMC5961004 DOI: 10.1093/gigascience/giy049] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 04/27/2018] [Indexed: 12/18/2022] Open
Abstract
Background Japanese quail (Coturnix japonica), a recently domesticated poultry species, is important not only as an agricultural product, but also as a model bird species for genetic research. However, most of the biological questions concerning genomics, phylogenetics, and genetics of some important economic traits have not been answered. It is thus necessary to complete a high-quality genome sequence as well as a series of comparative genomics, evolution, and functional studies. Results Here, we present a quail genome assembly spanning 1.04 Gb with 86.63% of sequences anchored to 30 chromosomes (28 autosomes and 2 sex chromosomes Z/W). Our genomic data have resolved the long-term debate of phylogeny among Perdicinae (Japanese quail), Meleagridinae (turkey), and Phasianinae (chicken). Comparative genomics and functional genomic data found that four candidate genes involved in early maturation had experienced positive selection, and one of them encodes follicle stimulating hormone beta (FSHβ), which is correlated with different FSHβ levels in quail and chicken. We re-sequenced 31 quails (10 wild, 11 egg-type, and 10 meat-type) and identified 18 and 26 candidate selective sweep regions in the egg-type and meat-type lines, respectively. That only one of them is shared between egg-type and meat-type lines suggests that they were subject to an independent selection. We also detected a haplotype on chromosome Z, which was closely linked with maroon/yellow plumage in quail using population resequencing and a genome-wide association study. This haplotype block will be useful for quail breeding programs. Conclusions This study provided a high-quality quail reference genome, identified quail-specific genes, and resolved quail phylogeny. We have identified genes related to quail early maturation and a marker for plumage color, which is significant for quail breeding. These results will facilitate biological discovery in quails and help us elucidate the evolutionary processes within the Phasianidae family.
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Affiliation(s)
- Yan Wu
- Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Science, Wuhan 430064, China.,Key Laboratory of Animal Embryo Engineering and Molecular Breeding of Hubei Province,Wuhan 430064, China.,Hubei Innovation Center of Agricultural Science and Technology, Wuhan, Hubei, 430064, China
| | - Yaolei Zhang
- BGI-Shenzhen, Shenzhen 518083, China.,BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China.,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen 518083, China
| | - Zhuocheng Hou
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, China; Agricultural University, Beijing 100193, China
| | - Guangyi Fan
- BGI-Shenzhen, Shenzhen 518083, China.,BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China.,State Key Laboratory of Quality Research in Chinese Medicine and Institute of Chinese Medical Sciences, Macao, China.,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen 518083, China
| | - Jinsong Pi
- Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Science, Wuhan 430064, China
| | - Shuai Sun
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
| | - Jiang Chen
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen 518083, China
| | - Huaqiao Liu
- Hubei Shendan Healthy Food Co., Ltd., Wuhan 430206, China
| | - Xiao Du
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
| | - Jie Shen
- Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Science, Wuhan 430064, China
| | - Gang Hu
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
| | | | - Ailuan Pan
- Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Science, Wuhan 430064, China
| | - Pingping Yin
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
| | | | - Yuejin Pu
- Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Science, Wuhan 430064, China
| | - He Zhang
- BGI-Shenzhen, Shenzhen 518083, China
| | - Zhenhua Liang
- Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Science, Wuhan 430064, China
| | | | - Hao Zhang
- Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Science, Wuhan 430064, China
| | - Bin Wu
- BGI-Shenzhen, Shenzhen 518083, China
| | - Jing Sun
- Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Science, Wuhan 430064, China
| | | | - Hu Tao
- Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Science, Wuhan 430064, China
| | - Ting Yang
- BGI-Shenzhen, Shenzhen 518083, China
| | - Hongwei Xiao
- Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Science, Wuhan 430064, China
| | - Huan Yang
- BGI-Shenzhen, Shenzhen 518083, China
| | - Chuanwei Zheng
- Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Science, Wuhan 430064, China
| | | | | | - David W Burt
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK
| | - Wen Wang
- Kunming Institute of Zoology, Chinese Academy of Sciences (CAS), Kunming, China
| | - Qingyi Li
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
| | - Xun Xu
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen 518083, China
| | - Chengfeng Li
- BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555, China
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen 518083, China.,James D. Watson Institute of Genome Sciences, Hangzhou 310058, China
| | - Jian Wang
- BGI-Shenzhen, Shenzhen 518083, China.,James D. Watson Institute of Genome Sciences, Hangzhou 310058, China
| | - Ning Yang
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, China; Agricultural University, Beijing 100193, China
| | - Xin Liu
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen 518083, China
| | - Jinping Du
- Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Science, Wuhan 430064, China
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Ghenu AH, Blanckaert A, Butlin RK, Kulmuni J, Bank C. Conflict between heterozygote advantage and hybrid incompatibility in haplodiploids (and sex chromosomes). Mol Ecol 2018; 27:3935-3949. [PMID: 29328538 DOI: 10.1111/mec.14482] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2017] [Revised: 12/19/2017] [Accepted: 12/22/2017] [Indexed: 01/08/2023]
Abstract
In many diploid species, the sex chromosomes play a special role in mediating reproductive isolation. In haplodiploids, where females are diploid and males haploid, the whole genome behaves similarly to the X/Z chromosomes of diploids. Therefore, haplodiploid systems can serve as a model for the role of sex chromosomes in speciation and hybridization. A previously described population of Finnish Formica wood ants displays genome-wide signs of ploidally and sexually antagonistic selection resulting from hybridization. Here, hybrid females have increased survivorship but hybrid males are inviable. To understand how the unusual hybrid population may be maintained, we developed a mathematical model with hybrid incompatibility, female heterozygote advantage, recombination and assortative mating. The rugged fitness landscape resulting from the co-occurrence of heterozygote advantage and hybrid incompatibility results in a sexual conflict in haplodiploids, which is caused by the ploidy difference. Thus, whereas heterozygote advantage always promotes long-term polymorphism in diploids, we find various outcomes in haplodiploids in which the population stabilizes either in favour of males, females or via maximizing the number of introgressed individuals. We discuss these outcomes with respect to the potential long-term fate of the Finnish wood ant population and provide approximations for the extension of the model to multiple incompatibilities. Moreover, we highlight the general implications of our results for speciation and hybridization in haplodiploids versus diploids and how the described fitness relationships could contribute to the outstanding role of sex chromosomes as hotspots of sexual antagonism and genes involved in speciation.
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Affiliation(s)
| | | | - Roger K Butlin
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK.,Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Jonna Kulmuni
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK.,Centre of Excellence in Biological Interactions, Department of Biosciences, University of Helsinki, Helsinki, Finland
| | - Claudia Bank
- Instituto Gulbenkian de Ciência, Oeiras, Portugal.,Kavli Institute for Theoretical Physics, University of California at Santa Barbara, Santa Barbara, CA, USA
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5
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Edwards SV, Shultz AJ, Campbell-Staton SC. Next-generation sequencing and the expanding domain of phylogeography. FOLIA ZOOLOGICA 2015. [DOI: 10.25225/fozo.v64.i3.a2.2015] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Scott V. Edwards
- Department of Organismic and Evolutionary Biology, and Museum of Comparative Zoology, Harvard University, Cambridge, MA 02138, U.S.A.
| | - Allison J. Shultz
- Department of Organismic and Evolutionary Biology, and Museum of Comparative Zoology, Harvard University, Cambridge, MA 02138, U.S.A.
| | - Shane C. Campbell-Staton
- Department of Organismic and Evolutionary Biology, and Museum of Comparative Zoology, Harvard University, Cambridge, MA 02138, U.S.A.
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6
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Wojczulanis-Jakubas K, Kilikowska A, Harding AMA, Jakubas D, Karnovsky NJ, Steen H, Strøm H, Welcker J, Gavrilo M, Lifjeld JT, Johnsen A. Weak population genetic differentiation in the most numerous Arctic seabird, the little auk. Polar Biol 2014. [DOI: 10.1007/s00300-014-1462-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Arumugasundaram S, Ghosh M, Veerasamy S, Ramasamy Y. Species discrimination, population structure and linkage disequilibrium in Eucalyptus camaldulensis and Eucalyptus tereticornis using SSR markers. PLoS One 2011; 6:e28252. [PMID: 22163287 PMCID: PMC3233572 DOI: 10.1371/journal.pone.0028252] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2011] [Accepted: 11/04/2011] [Indexed: 12/19/2022] Open
Abstract
Eucalyptus camaldulensis and E. tereticornis are closely related species commonly cultivated for pulp wood in many tropical countries including India. Understanding the genetic structure and linkage disequilibrium (LD) existing in these species is essential for the improvement of industrially important traits. Our goal was to evaluate the use of simple sequence repeat (SSR) loci for species discrimination, population structure and LD analysis in these species. Investigations were carried out with the most common alleles in 93 accessions belonging to these two species using 62 SSR markers through cross amplification. The polymorphic information content (PIC) ranged from 0.44 to 0.93 and 0.36 to 0.93 in E. camaldulensis and E. tereticornis respectively. A clear delineation between the two species was evident based on the analysis of population structure and species-specific alleles. Significant genotypic LD was found in E. camaldulensis, wherein out of 135 significant pairs, 17 pairs showed r2≥0.1. Similarly, in E. tereticornis, out of 136 significant pairs, 18 pairs showed r2≥0.1. The extent of LD decayed rapidly showing the significance of association analyses in eucalypts with higher resolution markers. The availability of whole genome sequence for E. grandis and the synteny and co-linearity in the genome of eucalypts, will allow genome-wide genotyping using microsatellites or single nucleotide polymorphims.
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Affiliation(s)
| | - Modhumita Ghosh
- Division of Plant Biotechnology, Institute of Forest Genetics and Tree Breeding, Coimbatore, Tamilnadu, India
| | - Sivakumar Veerasamy
- Division of Genetics and Tree Breeding, Institute of Forest Genetics and Tree Breeding, Coimbatore, Tamilnadu, India
| | - Yasodha Ramasamy
- Division of Plant Biotechnology, Institute of Forest Genetics and Tree Breeding, Coimbatore, Tamilnadu, India
- * E-mail:
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9
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Individuals and populations: the role of long-term, individual-based studies of animals in ecology and evolutionary biology. Trends Ecol Evol 2010; 25:562-73. [PMID: 20828863 DOI: 10.1016/j.tree.2010.08.002] [Citation(s) in RCA: 514] [Impact Index Per Article: 36.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2010] [Revised: 08/01/2010] [Accepted: 08/02/2010] [Indexed: 11/23/2022]
Abstract
Many important questions in ecology and evolutionary biology can only be answered with data that extend over several decades and answering a substantial proportion of questions requires records of the life histories of recognisable individuals. We identify six advantages that long-term, individual based studies afford in ecology and evolution: (i) analysis of age structure; (ii) linkage between life history stages; (iii) quantification of social structure; (iv) derivation of lifetime fitness measures; (v) replication of estimates of selection; (vi) linkage between generations, and we review their impact on studies in six key areas of evolution and ecology. Our review emphasises the unusual opportunities and productivity of long-term, individual-based studies and documents the important role that they play in research on ecology and evolutionary biology as well as the difficulties they face.
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Tapio I, Tapio M, Li MH, Popov R, Ivanova Z, Kantanen J. Estimation of relatedness among non-pedigreed Yakutian cryo-bank bulls using molecular data: implications for conservation and breed management. Genet Sel Evol 2010; 42:28. [PMID: 20626845 PMCID: PMC2909159 DOI: 10.1186/1297-9686-42-28] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2010] [Accepted: 07/13/2010] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Yakutian cattle, the last remaining native cattle breed in Siberia, are well adapted to the extreme sub-arctic conditions. Nowadays only ca. 1200 purebred animals are left in Yakutia. The semen of six Yakutian bulls was stored in a cryo-bank without any pedigree documentation because of the traditional free herding style of the population. METHODS To clarify the genetic relatedness between these bulls and to provide recommendations to use their semen in future conservation and breed management programs, we have analysed 30 autosomal microsatellites and mitochondrial DNA sequences in 60 individuals including the six for which semen has been stored. Four relatedness estimators were calculated. In addition, we assessed the value of the cryo-bank bulls for the preservation of genetic variation of the contemporary Yakutian cattle by calculating allelic and gene diversity estimates and mean molecular coancestries. RESULTS On the basis of microsatellite variability, including the Yakutian cryo-bank bulls increases the allelic variation in the contemporary population by 3% and in the male subpopulation by 13%. In terms of the mean molecular coancestries, they are less related to the contemporary cow population than the breeding bulls and therefore could be used to reduce inbreeding in the living population. Although 30 loci are insufficient to resolve definitely their relatedness categories, the data suggest four pairs of cryo-bank bulls as possible half-sibs. CONCLUSIONS Our results show that even relatively limited cryo-bank storage of semen can carry allelic variation through a bottleneck. We propose a breeding scheme based on the rotation of breeding females and the division of cryo-bank bulls into three groups. Thus, if molecular data (e.g. autosomal microsatellite genotypes) for the contemporary population are available and based on relatively small-scale laboratory analyses, it is possible to avoid serious mistakes in their use for breeding applications. The approach suggested here based on the use of Yakutian cryo-bank semen can be easily extended to cryo-bank materials of other animals in future breeding programs.
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Affiliation(s)
- Ilma Tapio
- Biotechnology and Food Research, MTT Agrifood Research Finland, Jokioinen, FI-31600 Finland
| | - Miika Tapio
- Biotechnology and Food Research, MTT Agrifood Research Finland, Jokioinen, FI-31600 Finland
| | - Meng-Hua Li
- Biotechnology and Food Research, MTT Agrifood Research Finland, Jokioinen, FI-31600 Finland
| | - Ruslan Popov
- Yakutian Research Institute of Agriculture, 677002 Yakutsk, Sakha, Russia
| | - Zoya Ivanova
- Yakutian Research Institute of Agriculture, 677002 Yakutsk, Sakha, Russia
| | - Juha Kantanen
- Biotechnology and Food Research, MTT Agrifood Research Finland, Jokioinen, FI-31600 Finland
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