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Patiabadi Z, Razmkabir M, EsmailizadehKoshkoiyeh A, Moradi MH, Rashidi A, Mahmoudi P. Whole-genome scan for selection signature associated with temperature adaptation in Iranian sheep breeds. PLoS One 2024; 19:e0309023. [PMID: 39150936 PMCID: PMC11329119 DOI: 10.1371/journal.pone.0309023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Accepted: 07/31/2024] [Indexed: 08/18/2024] Open
Abstract
The present study aimed to identify the selection signature associated with temperature adaptation in Iranian sheep breeds raised in cold and hot environments. The Illumina HD ovine SNP600K BeadChip genomic arrays were utilized to analyze 114 animals from eight Iranian sheep breeds, namely Ghezel, Afshari, Shall, Sanjabi, Lori-Bakhtiari, Karakul, Kermani, and Balochi. All animals were classified into two groups: cold-weather breeds and hot-weather breeds, based on the environments to which they are adapted and the regions where they have been raised for many years. The unbiased FST (Theta) and hapFLK tests were used to identify the selection signatures. The results revealed five genomic regions on chromosomes 2, 10, 11, 13, and 14 using the FST test, and three genomic regions on chromosomes 10, 14, and 15 using the hapFLK test to be under selection in cold and hot groups. Further exploration of these genomic regions revealed that most of these regions overlapped with genes previously identified to affect cold and heat stress, nervous system function, cell division and gene expression, skin growth and development, embryo and skeletal development, adaptation to hypoxia conditions, and the immune system. These regions overlapped with QTLs that had previously been identified as being associated with various important economic traits, such as body weight, skin color, and horn characteristics. The gene ontology and gene network analyses revealed significant pathways and networks that distinguished Iranian cold and hot climates sheep breeds from each other. We identified positively selected genomic regions in Iranian sheep associated with pathways related to cell division, biological processes, cellular responses to calcium ions, metal ions and inorganic substances. This study represents the initial effort to identify selective sweeps linked to temperature adaptation in Iranian indigenous sheep breeds. It may provide valuable insights into the genomic regions involved in climate adaptation in sheep.
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Affiliation(s)
- Zahra Patiabadi
- Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
| | - Mohammad Razmkabir
- Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
| | | | | | - Amir Rashidi
- Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
| | - Peyman Mahmoudi
- Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
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Yang X, Su Y, Huang S, Hou Q, Wei P, Hao Y, Huang J, Xiao H, Ma Z, Xu X, Wang X, Cao S, Cao X, Zhang M, Wen X, Ma Y, Peng Y, Zhou Y, Cao K, Qiao G. Comparative population genomics reveals convergent and divergent selection in the apricot-peach-plum-mei complex. HORTICULTURE RESEARCH 2024; 11:uhae109. [PMID: 38883333 PMCID: PMC11179850 DOI: 10.1093/hr/uhae109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 04/06/2024] [Indexed: 06/18/2024]
Abstract
The economically significant genus Prunus includes fruit and nut crops that have been domesticated for shared and specific agronomic traits; however, the genomic signals of convergent and divergent selection have not been elucidated. In this study, we aimed to detect genomic signatures of convergent and divergent selection by conducting comparative population genomic analyses of the apricot-peach-plum-mei (APPM) complex, utilizing a haplotype-resolved telomere-to-telomere (T2T) genome assembly and population resequencing data. The haplotype-resolved T2T reference genome for the plum cultivar was assembled through HiFi and Hi-C reads, resulting in two haplotypes 251.25 and 251.29 Mb in size, respectively. Comparative genomics reveals a chromosomal translocation of ~1.17 Mb in the apricot genomes compared with peach, plum, and mei. Notably, the translocation involves the D locus, significantly impacting titratable acidity (TA), pH, and sugar content. Population genetic analysis detected substantial gene flow between plum and apricot, with introgression regions enriched in post-embryonic development and pollen germination processes. Comparative population genetic analyses revealed convergent selection for stress tolerance, flower development, and fruit ripening, along with divergent selection shaping specific crop, such as somatic embryogenesis in plum, pollen germination in mei, and hormone regulation in peach. Notably, selective sweeps on chromosome 7 coincide with a chromosomal collinearity from the comparative genomics, impacting key fruit-softening genes such as PG, regulated by ERF and RMA1H1. Overall, this study provides insights into the genetic diversity, evolutionary history, and domestication of the APPM complex, offering valuable implications for genetic studies and breeding programs of Prunus crops.
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Affiliation(s)
- Xuanwen Yang
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-bioengineering/College of Life Sciences, Guizhou University, Guiyang 550025, China
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Science, Zhengzhou 450009, China
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China
| | - Ying Su
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Xinjiang, Urumqi 830046, China
| | - Siyang Huang
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Qiandong Hou
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-bioengineering/College of Life Sciences, Guizhou University, Guiyang 550025, China
| | - Pengcheng Wei
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Science, Zhengzhou 450009, China
| | - Yani Hao
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- Department of Bioinformatics, School of Biology and Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Jiaqi Huang
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Hua Xiao
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Zhiyao Ma
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xiaodong Xu
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xu Wang
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Shuo Cao
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China
| | - Xuejing Cao
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Mengyan Zhang
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xiaopeng Wen
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-bioengineering/College of Life Sciences, Guizhou University, Guiyang 550025, China
| | - Yuhua Ma
- Institute of Pomology Science, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
| | - Yanling Peng
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Yongfeng Zhou
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- National Key Laboratory of Tropical Crop Breeding, Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 570100, China
| | - Ke Cao
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Science, Zhengzhou 450009, China
| | - Guang Qiao
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-bioengineering/College of Life Sciences, Guizhou University, Guiyang 550025, China
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Alipanah M, Mazloom SM, Gharari F. Detection of selective sweep in European wild sheep breeds. 3 Biotech 2024; 14:122. [PMID: 38560387 PMCID: PMC10978567 DOI: 10.1007/s13205-024-03964-1] [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: 03/23/2023] [Accepted: 02/22/2024] [Indexed: 04/04/2024] Open
Abstract
In wild animal populations, there is a differentiation between populations due to natural selection. The direction and pressure of natural selection in the wild sheep are different in the various geographic areas. Linkage disequilibrium studies showed that regions of the genome in whole wild sheep are under natural selection and that natural selection can affect immune or reproductive or metabolic traits. The study aimed to identify genomic regions under natural selection in wild sheep. For this purpose, the genetic information of 24 European wild sheep and 24 Sardinian wild sheep was used. The genotypes were determined using Illumina 50 K SNPChip arrays based on Oar_4.0 version of the sheep genome. After quality control steps, finally, 31,560 SNP markers were analyzed. The value of LD was calculated by calculating the r2 statistic between all pairs of locations through PLINK software. To identify signs of selection based on linkage disequilibrium methods, an extended haplotype homozygosity test of XP-EHH crossing population and iHS intrapopulation was used. The results of iHS studies showed that in European and Sardinian wild sheep, the highest iHS coefficient under natural selection was observed on 3 and 2 chromosome numbers, respectively. Also, the results of XP-EHH studies showed that the largest XP-EHH coefficients under natural selection in European wild sheep compared to Sardinian and vice versa in Sardinian wild sheep compared to European wild sheep were observed on 3 and 16 chromosome numbers, respectively. In addition, the results of gene cycle studies showed that COPB1, SEC24D, ZDHHC17, BBS4, RFX3, SLC26A8, CAMK2D, GRIA1, GRM1, GRID2, PPP2R1A, CPEB4, PLEKHA5 and KIF13A, VPS39, VPS53, DTNBP1, DYNC1I1, FAM91A genes are under natural selection in Sardinian and European wild sheeps, respectively. The direction and selection pressure of natural selection in the two breeds of wild sheep is different due to different geographic conditions.
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Affiliation(s)
- Masoud Alipanah
- Department of Plant Production, University of Torbat Heydarieh, Torbat Heydarieh, 9516168595 Iran
| | - Seyed Mostafa Mazloom
- Department of Animal Science, Ferdowsi University of Mashhad, Mashhad, 9177948974 Iran
| | - Faezeh Gharari
- Department of Plant Production, University of Torbat Heydarieh, Torbat Heydarieh, 9516168595 Iran
- Department of Animal Science, Ferdowsi University of Mashhad, Mashhad, 9177948974 Iran
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Schneider H, Krizanac AM, Falker-Gieske C, Heise J, Tetens J, Thaller G, Bennewitz J. Genomic dissection of the correlation between milk yield and various health traits using functional and evolutionary information about imputed sequence variants of 34,497 German Holstein cows. BMC Genomics 2024; 25:265. [PMID: 38461236 DOI: 10.1186/s12864-024-10115-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 02/13/2024] [Indexed: 03/11/2024] Open
Abstract
BACKGROUND Over the last decades, it was subject of many studies to investigate the genomic connection of milk production and health traits in dairy cattle. Thereby, incorporating functional information in genomic analyses has been shown to improve the understanding of biological and molecular mechanisms shaping complex traits and the accuracies of genomic prediction, especially in small populations and across-breed settings. Still, little is known about the contribution of different functional and evolutionary genome partitioning subsets to milk production and dairy health. Thus, we performed a uni- and a bivariate analysis of milk yield (MY) and eight health traits using a set of ~34,497 German Holstein cows with 50K chip genotypes and ~17 million imputed sequence variants divided into 27 subsets depending on their functional and evolutionary annotation. In the bivariate analysis, eight trait-combinations were observed that contrasted MY with each health trait. Two genomic relationship matrices (GRM) were included, one consisting of the 50K chip variants and one consisting of each set of subset variants, to obtain subset heritabilities and genetic correlations. In addition, 50K chip heritabilities and genetic correlations were estimated applying merely the 50K GRM. RESULTS In general, 50K chip heritabilities were larger than the subset heritabilities. The largest heritabilities were found for MY, which was 0.4358 for the 50K and 0.2757 for the subset heritabilities. Whereas all 50K genetic correlations were negative, subset genetic correlations were both, positive and negative (ranging from -0.9324 between MY and mastitis to 0.6662 between MY and digital dermatitis). The subsets containing variants which were annotated as noncoding related, splice sites, untranslated regions, metabolic quantitative trait loci, and young variants ranked highest in terms of their contribution to the traits` genetic variance. We were able to show that linkage disequilibrium between subset variants and adjacent variants did not cause these subsets` high effect. CONCLUSION Our results confirm the connection of milk production and health traits in dairy cattle via the animals` metabolic state. In addition, they highlight the potential of including functional information in genomic analyses, which helps to dissect the extent and direction of the observed traits` connection in more detail.
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Affiliation(s)
- Helen Schneider
- Institute of Animal Science, University of Hohenheim, 70599, Stuttgart, Germany.
| | - Ana-Marija Krizanac
- Department of Animal Sciences, University of Göttingen, 37077, Göttingen, Germany
| | | | - Johannes Heise
- Vereinigte Informationssysteme Tierhaltung w.V. (VIT), 27283, Verden, Germany
| | - Jens Tetens
- Department of Animal Sciences, University of Göttingen, 37077, Göttingen, Germany
| | - Georg Thaller
- Institute of Animal Breeding and Husbandry, Christian-Albrechts University of Kiel, 24098, Kiel, Germany
| | - Jörn Bennewitz
- Institute of Animal Science, University of Hohenheim, 70599, Stuttgart, Germany
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5
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Hu M, Shi L, Yi W, Li F, Yan S. Identification of genomic diversity and selection signatures in Luxi cattle using whole-genome sequencing data. Anim Biosci 2024; 37:461-470. [PMID: 38271971 PMCID: PMC10915192 DOI: 10.5713/ab.23.0304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 10/13/2023] [Accepted: 11/28/2023] [Indexed: 01/27/2024] Open
Abstract
OBJECTIVE The objective of this study was to investigate the genetic diversity, population structure and whole-genome selection signatures of Luxi cattle to reveal its genomic characteristics in terms of meat and carcass traits, skeletal muscle development, body size, and other traits. METHODS To further analyze the genomic characteristics of Luxi cattle, this study sequenced the whole-genome of 16 individuals from the core conservation farm in Shandong region, and collected 174 published genomes of cattle for conjoint analysis. Furthermore, three different statistics (pi, Fst, and XP-EHH) were used to detect potential positive selection signatures related to selection in Luxi cattle. Moreover, gene ontology and Kyoto encyclopedia of genes and genomes pathway enrichment analyses were performed to reveal the potential biological function of candidate genes harbored in selected regions. RESULTS The results showed that Luxi cattle had high genomic diversity and low inbreeding levels. Using three complementary methods (pi, Fst, and XP-EHH) to detect the signatures of selection in the Luxi cattle genome, there were 2,941, 2,221 and 1,304 potentially selected genes identified, respectively. Furthermore, there were 45 genes annotated in common overlapping genomic regions covered 0.723 Mb, including PLAG1 zinc finger (PLAG1), dedicator of cytokinesis 3 (DOCK3), ephrin A2 (EFNA2), DAZ associated protein 1 (DAZAP1), Ral GTPase activating protein catalytic subunit alpha 1 (RALGAPA1), mediator complex subunit 13 (MED13), and decaprenyl diphosphate synthase subunit 2 (PDSS2), most of which were enriched in pathways related to muscle growth and differentiation and immunity. CONCLUSION In this study, we provided a series of genes associated with important economic traits were found in positive selection regions, and a scientific basis for the scientific conservation and genetic improvement of Luxi cattle.
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Affiliation(s)
- Mingyue Hu
- Department of Animal Science, Jilin University, Changchun 130062,
China
| | - Lulu Shi
- Department of Animal Science, Jilin University, Changchun 130062,
China
| | - Wenfeng Yi
- Department of Animal Science, Jilin University, Changchun 130062,
China
| | - Feng Li
- Shandong Binzhou Animal Science & Veterinary Medicine Academy, Binzhou, 256600,
China
| | - Shouqing Yan
- Department of Animal Science, Jilin University, Changchun 130062,
China
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6
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Rowan TN, Schnabel RD, Decker JE. Uncovering the architecture of selection in two Bos taurus cattle breeds. Evol Appl 2024; 17:e13666. [PMID: 38405336 PMCID: PMC10883790 DOI: 10.1111/eva.13666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/18/2023] [Accepted: 01/26/2024] [Indexed: 02/27/2024] Open
Abstract
Directional selection alters the genome via hard sweeps, soft sweeps, and polygenic selection. However, mapping polygenic selection is difficult because it does not leave clear signatures on the genome like a selective sweep. In populations with temporally stratified genotypes, the Generation Proxy Selection Mapping (GPSM) method identifies variants associated with generation number (or appropriate proxy) and thus variants undergoing directional allele frequency changes. Here, we use GPSM on two large datasets of beef cattle to detect associations between an animal's generation and 11 million imputed SNPs. Using these datasets with high power and dense mapping resolution, GPSM detected a total of 294 unique loci actively under selection in two cattle breeds. We observed that GPSM has a high power to detect selection in the very recent past (<10 years), even when allele frequency changes are small. Variants identified by GPSM reside in genomic regions associated with known breed-specific selection objectives, such as fertility and maternal ability in Red Angus, and carcass merit and coat color in Simmental. Over 60% of the selected loci reside in or near (<50 kb) annotated genes. Using haplotype-based and composite selective sweep statistics, we identify hundreds of putative selective sweeps that likely occurred earlier in the evolution of these breeds; however, these sweeps have little overlap with recent polygenic selection. This makes GPSM a complementary approach to sweep detection methods when temporal genotype data are available. The selected loci that we identify across methods demonstrate the complex architecture of selection in domesticated cattle.
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Affiliation(s)
- Troy N. Rowan
- Division of Animal SciencesUniversity of MissouriColumbiaMissouriUSA
- Genetics Area ProgramUniversity of MissouriColumbiaMissouriUSA
- Department of Animal ScienceUniversity of Tennessee Institute of AgricultureKnoxvilleTennesseeUSA
- Department of Large Animal Clinical Sciences, College of Veterinary MedicineUniversity of TennesseeKnoxvilleTennesseeUSA
| | - Robert D. Schnabel
- Division of Animal SciencesUniversity of MissouriColumbiaMissouriUSA
- Genetics Area ProgramUniversity of MissouriColumbiaMissouriUSA
- Institute for Data Science and InformaticsUniversity of MissouriColumbiaMissouriUSA
| | - Jared E. Decker
- Division of Animal SciencesUniversity of MissouriColumbiaMissouriUSA
- Genetics Area ProgramUniversity of MissouriColumbiaMissouriUSA
- Institute for Data Science and InformaticsUniversity of MissouriColumbiaMissouriUSA
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A V, Kumar A, Mahala S, Chandra Janga S, Chauhan A, Mehrotra A, Kumar De A, Ranjan Sahu A, Firdous Ahmad S, Vempadapu V, Dutt T. Revelation of genetic diversity and genomic footprints of adaptation in Indian pig breeds. Gene 2024; 893:147950. [PMID: 37918549 DOI: 10.1016/j.gene.2023.147950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 10/16/2023] [Accepted: 10/30/2023] [Indexed: 11/04/2023]
Abstract
In the present study, the genetic diversity measures among four Indian domestic breeds of pig namely Agonda Goan, Ghurrah, Ghungroo, and Nicobari, of different agro-climatic regions of country were explored and compared with European commercial breeds, European wild boar and Chinese domestic breeds. The double digest restriction site-associated DNA sequencing (ddRADseq) data of Indian pigs (102) and Landrace (10 animals) were generated and whole genome sequencing data of exotic pigs (60 animals) from public data repository were used in the study. The principal component analysis (PCA), admixture analysis and phylogenetic analysis revealed that Indian breeds were closer in ancestry to Chinese breeds than European breeds. European breeds exhibited highest genetic diversity measures among all the considered breeds. Among Indian breeds, Agonda Goan and Ghurrah were found to be more genetically diverse than Nicobari and Ghungroo. The selection signature regions in Indian pigs were explored using iHS and XP-EHH, and during iHS analysis, it was observed that genes related to growth, reproduction, health, meat quality, sensory perception and behavior were found to be under selection pressure in Indian pig breeds. Strong selection signatures were recorded in 24.25-25.25 Mb region of SSC18, 123.25-124 Mb region of SSC15 and 118.75-119.5 Mb region of SSC2 in most of the Indian breeds upon pairwise comparison with European commercial breeds using XP-EHH. These regions were harboring some important genes such as EPHA4 for thermotolerance, TAS2R16, FEZF1, CADPS2 and PTPRZ1 for adaptability to scavenging system of rearing, TRIM36 and PGGT1B for disease resistance and CCDC112, PIAS1, FEM1B and ITGA11 for reproduction.
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Affiliation(s)
- Vani A
- Division of Animal Genetics, Indian Veterinary Research Institute, Bareilly, UP, India
| | - Amit Kumar
- Division of Animal Genetics, Indian Veterinary Research Institute, Bareilly, UP, India.
| | - Sudarshan Mahala
- Division of Animal Genetics, Indian Veterinary Research Institute, Bareilly, UP, India
| | - Sarath Chandra Janga
- Luddy School of Informatics, Computing, and Engineering, Indiana University, IUPUI, Indianapolis, IN, USA
| | - Anuj Chauhan
- Livestock Production and Management, Indian Veterinary Research Institute, Bareilly, UP, India
| | | | - Arun Kumar De
- Central Island Agricultural Research Institute, Port Blair, Andaman and Nicobar Islands, India
| | - Amiya Ranjan Sahu
- Central Coastal Agricultural Research Institute, Old Goa, Goa, India
| | - Sheikh Firdous Ahmad
- Division of Animal Genetics, Indian Veterinary Research Institute, Bareilly, UP, India
| | - Varshini Vempadapu
- Division of Animal Genetics, Indian Veterinary Research Institute, Bareilly, UP, India
| | - Triveni Dutt
- Livestock Production and Management, Indian Veterinary Research Institute, Bareilly, UP, India
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Schrider DR. Allelic gene conversion softens selective sweeps. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.05.570141. [PMID: 38106127 PMCID: PMC10723294 DOI: 10.1101/2023.12.05.570141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
The prominence of positive selection, in which beneficial mutations are favored by natural selection and rapidly increase in frequency, is a subject of intense debate. Positive selection can result in selective sweeps, in which the haplotype(s) bearing the adaptive allele "sweep" through the population, thereby removing much of the genetic diversity from the region surrounding the target of selection. Two models of selective sweeps have been proposed: classical sweeps, or "hard sweeps", in which a single copy of the adaptive allele sweeps to fixation, and "soft sweeps", in which multiple distinct copies of the adaptive allele leave descendants after the sweep. Soft sweeps can be the outcome of recurrent mutation to the adaptive allele, or the presence of standing genetic variation consisting of multiple copies of the adaptive allele prior to the onset of selection. Importantly, soft sweeps will be common when populations can rapidly adapt to novel selective pressures, either because of a high mutation rate or because adaptive alleles are already present. The prevalence of soft sweeps is especially controversial, and it has been noted that selection on standing variation or recurrent mutations may not always produce soft sweeps. Here, we show that the inverse is true: selection on single-origin de novo mutations may often result in an outcome that is indistinguishable from a soft sweep. This is made possible by allelic gene conversion, which "softens" hard sweeps by copying the adaptive allele onto multiple genetic backgrounds, a process we refer to as a "pseudo-soft" sweep. We carried out a simulation study examining the impact of gene conversion on sweeps from a single de novo variant in models of human, Drosophila, and Arabidopsis populations. The fraction of simulations in which gene conversion had produced multiple haplotypes with the adaptive allele upon fixation was appreciable. Indeed, under realistic demographic histories and gene conversion rates, even if selection always acts on a single-origin mutation, sweeps involving multiple haplotypes are more likely than hard sweeps in large populations, especially when selection is not extremely strong. Thus, even when the mutation rate is low or there is no standing variation, hard sweeps are expected to be the exception rather than the rule in large populations. These results also imply that the presence of signatures of soft sweeps does not necessarily mean that adaptation has been especially rapid or is not mutation limited.
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Affiliation(s)
- Daniel R Schrider
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599
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Velayudhan SM, Yin T, Alam S, Brügemann K, Sejian V, Bhatta R, Schlecht E, König S. Unraveling the Genomic Association for Milk Production Traits and Signatures of Selection of Cattle in a Harsh Tropical Environment. BIOLOGY 2023; 12:1483. [PMID: 38132309 PMCID: PMC10740459 DOI: 10.3390/biology12121483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 11/15/2023] [Accepted: 11/29/2023] [Indexed: 12/23/2023]
Abstract
A study was designed to identify the genomic regions associated with milk production traits in a dairy cattle population reared by smallholder farmers in the harsh and challenging tropical savanna climate of Bengaluru, India. This study is a first-of-its-kind attempt to identify the selection sweeps for the dairy cattle breeds reared in such an environment. Two hundred forty lactating dairy cows reared by 68 farmers across the rural-urban transiting regions of Bengaluru were selected for this study. A genome-wide association study (GWAS) was performed to identify candidate genes for test-day milk yield, solids-not-fat (SNF), milk lactose, milk density and clinical mastitis. Furthermore, the cross-population extended haplotype homozygosity (XP-EHH) methodology was adopted to scan the dairy cattle breeds (Holstein Friesian, Jersey and Crossbred) in Bengaluru. Two SNPs, rs109340659 and rs41571523, were observed to be significantly associated with test-day milk yield. No significant SNPs were observed for the remaining production traits. The GWAS for milk lactose revealed one SNP (rs41634101) that was very close to the threshold limit, though not significant. The potential candidate genes fibrosin-like 1 (FBRSL) and calcium voltage-gated channel auxiliary subunit gamma 3 (CACN) were identified to be in close proximity to the SNP identified for test-day milk yield. These genes were observed to be associated with milk production traits based on previous reports. Furthermore, the selection signature analysis revealed a number of regions under selection for the breed-group comparisons (Crossbred-HF, Crossbred-J and HF-J). Functional analysis of these annotated genes under selection indicated pathways and mechanisms involving ubiquitination, cell signaling and immune response. These findings point towards the probable selection of dairy cows in Bengaluru for thermotolerance.
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Affiliation(s)
| | - Tong Yin
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Ludwigstraße 21 b, 35390 Gießen, Germany; (S.M.V.); (T.Y.)
| | - Shahin Alam
- Animal Husbandry in the Tropics and Subtropics, University of Kassel and Georg-August-Universität Göttingen, Steinstr. 19, 37213 Witzenhausen, Germany; (S.A.)
| | - Kerstin Brügemann
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Ludwigstraße 21 b, 35390 Gießen, Germany; (S.M.V.); (T.Y.)
| | - Veerasamy Sejian
- National Institute of Animal Nutrition and Physiology (NIANP), Hosur Rd, Chennakeshava Nagar, Adugodi, Bengaluru 560030, India
| | - Raghavendra Bhatta
- National Institute of Animal Nutrition and Physiology (NIANP), Hosur Rd, Chennakeshava Nagar, Adugodi, Bengaluru 560030, India
| | - Eva Schlecht
- Animal Husbandry in the Tropics and Subtropics, University of Kassel and Georg-August-Universität Göttingen, Steinstr. 19, 37213 Witzenhausen, Germany; (S.A.)
| | - Sven König
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Ludwigstraße 21 b, 35390 Gießen, Germany; (S.M.V.); (T.Y.)
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10
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Benítez-Burraco A, Uriagereka J, Nataf S. The genomic landscape of mammal domestication might be orchestrated by selected transcription factors regulating brain and craniofacial development. Dev Genes Evol 2023; 233:123-135. [PMID: 37552321 PMCID: PMC10746608 DOI: 10.1007/s00427-023-00709-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 07/27/2023] [Indexed: 08/09/2023]
Abstract
Domestication transforms once wild animals into tamed animals that can be then exploited by humans. The process entails modifications in the body, cognition, and behavior that are essentially driven by differences in gene expression patterns. Although genetic and epigenetic mechanisms were shown to underlie such differences, less is known about the role exerted by trans-regulatory molecules, notably transcription factors (TFs) in domestication. In this paper, we conducted extensive in silico analyses aimed to clarify the TF landscape of mammal domestication. We first searched the literature, so as to establish a large list of genes selected with domestication in mammals. From this list, we selected genes experimentally demonstrated to exhibit TF functions. We also considered TFs displaying a statistically significant number of targets among the entire list of (domestication) selected genes. This workflow allowed us to identify 5 candidate TFs (SOX2, KLF4, MITF, NR3C1, NR3C2) that were further assessed in terms of biochemical and functional properties. We found that such TFs-of-interest related to mammal domestication are all significantly involved in the development of the brain and the craniofacial region, as well as the immune response and lipid metabolism. A ranking strategy, essentially based on a survey of protein-protein interactions datasets, allowed us to identify SOX2 as the main candidate TF involved in domestication-associated evolutionary changes. These findings should help to clarify the molecular mechanics of domestication and are of interest for future studies aimed to understand the behavioral and cognitive changes associated to domestication.
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Affiliation(s)
- Antonio Benítez-Burraco
- Department of Spanish, Linguistics, and Theory of Literature (Linguistics), Faculty of Philology, University of Seville, Seville, Spain.
- Área de Lingüística General, Departamento de Lengua Española, Lingüística y Teoría de la Literatura, Facultad de Filología, Universidad de Sevilla, C/ Palos de la Frontera s/n., 41007-, Sevilla, España.
| | - Juan Uriagereka
- Department of Linguistics and School of Languages, Literatures & Cultures, University of Maryland, College Park, MD, USA
| | - Serge Nataf
- Stem-cell and Brain Research Institute, 18 avenue de Doyen Lépine, F-69500, Bron, France
- University of Lyon 1, 43 Bd du 11 Novembre 1918, F-69100, Villeurbanne, France
- Bank of Tissues and Cells, Hospices Civils de Lyon, Hôpital Edouard Herriot, Place d'Arsonval, F-69003, Lyon, France
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11
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Chung Y, Jang SS, Kang DH, Kim YK, Kim HJ, Chung KY, Choi I, Lee SH. Identification of potential biomarkers associated with meat tenderness in Hanwoo (Korean cattle): An expression quantitative trait loci analysis. Anim Genet 2023; 54:786-791. [PMID: 37828654 DOI: 10.1111/age.13360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 08/29/2023] [Accepted: 09/21/2023] [Indexed: 10/14/2023]
Abstract
Meat tenderness is considered the most important trait contributing to beef quality, level of consumer satisfaction, willingness to pay premium prices and industry profit. Genomic selection method would be helpful for genetic improvement of traits with low heritability and that are difficult to measure. The identification of core genes can aid genomic selection for complex traits with low heritability that are difficult to measure. We performed statistical analysis of associations between longissimus dorsi muscle tenderness and gene expression in 20 Hanwoo cattle, using Warner-Bratzler shear force and RNAseq data, respectively. We found a total of 166 core genes, from which six (ASAP1, CAPN5, ELN, SUMF2, TTC8 and MGAT4A) were regulated by 16 cis-expression quantitative trait loci (eQTL) SNPs. Notably, we found that a cis-eQTL SNP of the ELN gene contained an MFZ-1 binding site in its putative promoter region. These findings provide useful information for genomic prediction of beef tenderness in Hanwoo cattle.
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Affiliation(s)
- Yoonji Chung
- Division of Animal and Dairy Science, Chungnam National University, Daejeon, South Korea
| | - Sun Sik Jang
- Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang, South Korea
| | - Dong Hun Kang
- Department of Beef Science, Korea National University of Agriculture and Fisheries, Wanju, South Korea
| | - Yeong Kuk Kim
- Quantomic Research and Solution, Daejeon, South Korea
| | - Hyun Joo Kim
- Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang, South Korea
- School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia
| | - Ki Yong Chung
- Department of Beef Science, Korea National University of Agriculture and Fisheries, Wanju, South Korea
| | - Inchul Choi
- Division of Animal and Dairy Science, Chungnam National University, Daejeon, South Korea
| | - Seung Hwan Lee
- Division of Animal and Dairy Science, Chungnam National University, Daejeon, South Korea
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12
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Koller D, Benítez-Burraco A, Polimanti R. Enrichment of self-domestication and neural crest function loci in the heritability of neurodevelopmental disorders. Hum Genet 2023; 142:1271-1279. [PMID: 36930228 PMCID: PMC10472204 DOI: 10.1007/s00439-023-02541-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 03/01/2023] [Indexed: 03/18/2023]
Abstract
Self-domestication could contribute to shaping the biology of human brain and consequently the predisposition to neurodevelopmental disorders. Leveraging genome-wide data from the Psychiatric Genomics Consortium, we tested the enrichment of self-domestication and neural crest function loci with respect to the heritability of autism spectrum disorder, schizophrenia (SCZ in East Asian and European ancestries, EAS and EUR, respectively), attention-deficit/hyperactivity disorder, obsessive-compulsive disorder, and Tourette's syndrome (TS). Considering only self-domestication and neural-crest-function annotations in the linkage disequilibrium score regression (LDSC) model, our partitioned heritability analysis revealed statistically significant enrichments across all disorders investigated. The estimates of the heritability enrichments for self-domestication loci were similar across neurodevelopmental disorders, ranging from 0.902 (EAS SCZ, p = 4.55 × 10-20) to 1.577 (TS, p = 5.85 × 10-5). Conversely, a wider spectrum of heritability enrichment estimates was present for neural crest function with the highest enrichment observed for TS (enrichment = 3.453, p = 2.88 × 10-3) and the lowest for EAS SCZ (enrichment = 1.971, p = 3.81 × 10-3). Although these estimates appear to be strong, the enrichments for self-domestication and neural crest function were null once we included additional annotations related to different genomic features. This indicates that the effect of self-domestication on the polygenic architecture of neurodevelopmental disorders is not independent of other functions of human genome.
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Affiliation(s)
- Dora Koller
- Department of Psychiatry, Yale School of Medicine, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, 08028, Barcelona, Catalonia, Spain
| | - Antonio Benítez-Burraco
- Department of Spanish, Linguistics, and Theory of Literature (Linguistics), Faculty of Philology, University of Seville, 41004, Seville, Spain
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA.
- VA CT Healthcare Center, West Haven, CT, 06516, USA.
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Genetic Structure Analysis of 155 Transboundary and Local Populations of Cattle ( Bos taurus, Bos indicus and Bos grunniens) Based on STR Markers. Int J Mol Sci 2023; 24:ijms24055061. [PMID: 36902492 PMCID: PMC10003406 DOI: 10.3390/ijms24055061] [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: 11/30/2022] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 03/09/2023] Open
Abstract
Every week, 1-2 breeds of farm animals, including local cattle, disappear in the world. As the keepers of rare allelic variants, native breeds potentially expand the range of genetic solutions to possible problems of the future, which means that the study of the genetic structure of these breeds is an urgent task. Providing nomadic herders with valuable resources necessary for life, domestic yaks have also become an important object of study. In order to determine the population genetic characteristics, and clarify the phylogenetic relationships of modern representatives of 155 cattle populations from different regions of the world, we collected a large set of STR data (10,250 individuals), including unique native cattle, 12 yak populations from Russia, Mongolia and Kyrgyzstan, as well as zebu breeds. Estimation of main population genetic parameters, phylogenetic analysis, principal component analysis and Bayesian cluster analysis allowed us to refine genetic structure and provided insights in relationships of native populations, transboundary breeds and populations of domestic yak. Our results can find practical application in conservation programs of endangered breeds, as well as become the basis for future fundamental research.
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14
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Pappas F, Kurta K, Vanhala T, Jeuthe H, Hagen Ø, Beirão J, Palaiokostas C. Whole‐genome re‐sequencing provides key genomic insights in farmed Arctic charr (
Salvelinus alpinus
) populations of anadromous and landlocked origin from Scandinavia. Evol Appl 2023; 16:797-813. [PMID: 37124091 PMCID: PMC10130564 DOI: 10.1111/eva.13537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 12/05/2022] [Accepted: 02/12/2023] [Indexed: 03/03/2023] Open
Abstract
Arctic charr (Salvelinus alpinus) is a niche-market high-value species for Nordic aquaculture. Similar to other salmonids, both anadromous and landlocked populations are encountered. Whole-genome re-sequencing (22X coverage) was performed on two farmed populations of anadromous (Sigerfjord; n = 24) and landlocked (Arctic Superior; n = 24) origin from Norway and Sweden respectively. More than 5 million SNPs were used to study their genetic diversity and to scan for selection signatures. The two populations were clearly distinguished through principal component analysis, with the mean fixation index being ~0.12. Furthermore, the levels of genomic inbreeding estimated from runs of homozygosity were 6.23% and 8.66% for the Norwegian and the Swedish population respectively. Biological processes that could be linked to selection pressure associated primarily with the anadromous background and/or secondarily with domestication were suggested. Overall, our study provided insights regarding the genetic composition of two main strains of farmed Arctic charr from Scandinavia. At the same time, ample genomic resources were produced in the magnitude of millions of SNPs that could assist the transition of Nordic Arctic charr farming in the genomics era.
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Affiliation(s)
- Fotis Pappas
- Department of Animal Breeding and Genetics Swedish University of Agricultural Sciences Uppsala Sweden
| | - Khrystyna Kurta
- Department of Animal Breeding and Genetics Swedish University of Agricultural Sciences Uppsala Sweden
| | - Tytti Vanhala
- Department of Animal Breeding and Genetics Swedish University of Agricultural Sciences Uppsala Sweden
| | - Henrik Jeuthe
- Department of Animal Breeding and Genetics Swedish University of Agricultural Sciences Uppsala Sweden
- Aquaculture Center North Kälarne Sweden
| | - Ørjan Hagen
- Faculty of Bioscience and Aquaculture Nord University Bodø Norway
| | - José Beirão
- Faculty of Bioscience and Aquaculture Nord University Bodø Norway
| | - Christos Palaiokostas
- Department of Animal Breeding and Genetics Swedish University of Agricultural Sciences Uppsala Sweden
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15
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Genome-Wide Genetic Structure of Henan Indigenous Chicken Breeds. Animals (Basel) 2023; 13:ani13040753. [PMID: 36830540 PMCID: PMC9952073 DOI: 10.3390/ani13040753] [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: 01/14/2023] [Revised: 02/14/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
There are five indigenous chicken breeds in Henan Province, China. These breeds have their own unique phenotypic characteristics in terms of morphology, behavior, skin and feather color, and productive performance, but their genetic basis is not well understood. Therefore, we analyzed the genetic structure, genomic diversity, and migration history of Henan indigenous chicken populations and the selection signals and genes responsible for Henan gamecock unique phenotypes using whole genome resequencing. The results indicate that Henan native chickens clustered most closely with the chicken populations in neighboring provinces. Compared to other breeds, Henan gamecock's inbreeding and selection intensity were more stringent. TreeMix analysis revealed the gene flow from southern chicken breeds into the Zhengyang sanhuang chicken and from the Xichuan black-bone chicken into the Gushi chicken. Selective sweep analysis identified several genes and biological processes/pathways that were related to body size, head control, muscle development, reproduction, and aggression control. Additionally, we confirmed the association between genotypes of SNPs in the strong selective gene LCORL and body size and muscle development in the Gushi-Anka F2 resource population. These findings made it easier to understand the traits of the germplasm and the potential for using the Henan indigenous chicken.
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16
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Abbasi-Moshaii B, Moradi MH, Yin T, Rahimi-Mianji G, Nejati-Javaremi A, König S. Genome-wide scan for selective sweeps identifies novel loci associated with resistance to mastitis in German Holstein cattle. J Anim Breed Genet 2023; 140:92-105. [PMID: 35988016 DOI: 10.1111/jbg.12737] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 08/02/2022] [Indexed: 12/13/2022]
Abstract
Domestication and selection significantly changed phenotypic and behavioural traits in modern domestic animals. In this study, to identify the genomic regions associated with mastitis, genomic data of German Holstein dairy cattle were analysed. The samples were genotyped using the Bovine 50 K SNP chip. For each defined healthy and sick group, 133 samples from 13,276 genotyped dairy cows were selected based on mastitis random residual effects. Grouping was done to infer selection signatures based on XP-EHH statistic. The results revealed that for the top 0.01 percentile of the obtained XP-EHH values, five genomic regions on chromosomes 8, 11, 12, 14 and 26 of the control group, and four regions on chromosomes 3, 4 (two regions) and 22 of the case group, have been under selection. Also, consideration of the top 0.1 percentile of the XP-EHH values, clarified 21 and 15 selective sweeps in the control and case group, respectively. This study identified some genomic regions containing potential candidate genes associated with resistance and susceptibility to mastitis, immune system and inflammation, milk traits, udder morphology and different types of cancers. In addition, these regions overlap with some quantitative trait loci linked to clinical mastitis, immunoglobulin levels, somatic cell score, udder traits, milk fat and protein, milk yield, milking speed and veterinary treatments. It is noteworthy that we found two regions in the healthy group (on chromosomes 12 and 14) with strong signals, which were not described previously. It is likely that future research could link these identified genomic regions to mastitis. The results of the current study contribute to the identification of causal mutations, genomic regions and genes affecting mastitis incidence in dairy cows.
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Affiliation(s)
- Bita Abbasi-Moshaii
- Institute of Animal Breeding and Genetics, Justus-Liebig University Giessen, Giessen, Germany.,Department of Animal Science and Fisheries, Sari Agricultural Science and Natural Resources University, Sari, Iran
| | | | - Tong Yin
- Institute of Animal Breeding and Genetics, Justus-Liebig University Giessen, Giessen, Germany
| | - Ghodratollah Rahimi-Mianji
- Department of Animal Science and Fisheries, Sari Agricultural Science and Natural Resources University, Sari, Iran
| | - Ardeshir Nejati-Javaremi
- Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Sven König
- Institute of Animal Breeding and Genetics, Justus-Liebig University Giessen, Giessen, Germany
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17
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Narayana SG, de Jong E, Schenkel FS, Fonseca PA, Chud TC, Powel D, Wachoski-Dark G, Ronksley PE, Miglior F, Orsel K, Barkema HW. Underlying genetic architecture of resistance to mastitis in dairy cattle: A systematic review and gene prioritization analysis of genome-wide association studies. J Dairy Sci 2022; 106:323-351. [DOI: 10.3168/jds.2022-21923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 08/01/2022] [Indexed: 11/05/2022]
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18
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Naji MM, Jiang Y, Utsunomiya YT, Rosen BD, Sölkner J, Wang C, Jiang L, Zhang Q, Zhang Y, Ding X, Mészáros G. Favored single nucleotide variants identified using whole genome Re-sequencing of Austrian and Chinese cattle breeds. Front Genet 2022; 13:974787. [PMID: 36238155 PMCID: PMC9552183 DOI: 10.3389/fgene.2022.974787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 08/29/2022] [Indexed: 11/25/2022] Open
Abstract
Cattle have been essential for the development of human civilization since their first domestication few thousand years ago. Since then, they have spread across vast geographic areas following human activities. Throughout generations, the cattle genome has been shaped with detectable signals induced by various evolutionary processes, such as natural and human selection processes and demographic events. Identifying such signals, called selection signatures, is one of the primary goals of population genetics. Previous studies used various selection signature methods and normalized the outputs score using specific windows, in kbp or based on the number of SNPs, to identify the candidate regions. The recent method of iSAFE claimed for high accuracy in pinpointing the candidate SNPs. In this study, we analyzed whole-genome resequencing (WGS) data of ten individuals from Austrian Fleckvieh (Bos taurus) and fifty individuals from 14 Chinese indigenous breeds (Bos taurus, Bos taurus indicus, and admixed). Individual WGS reads were aligned to the cattle reference genome of ARS. UCD1.2 and subsequently undergone single nucleotide variants (SNVs) calling pipeline using GATK. Using these SNVs, we examined the population structure using principal component and admixture analysis. Then we refined selection signature candidates using the iSAFE program and compared it with the classical iHS approach. Additionally, we run Fst population differentiation from these two cattle groups. We found gradual changes of taurine in north China to admixed and indicine to the south. Based on the population structure and the number of individuals, we grouped samples to Fleckvieh, three Chinese taurines (Kazakh, Mongolian, Yanbian), admixed individuals (CHBI_Med), indicine individuals (CHBI_Low), and a combination of admixed and indicine (CHBI) for performing iSAFE and iHS tests. There were more significant SNVs identified using iSAFE than the iHS for the candidate of positive selection and more detectable signals in taurine than in indicine individuals. However, combining admixed and indicine individuals decreased the iSAFE signals. From both within-population tests, significant SNVs are linked to the olfactory receptors, production, reproduction, and temperament traits in taurine cattle, while heat and parasites tolerance in the admixed individuals. Fst test suggests similar patterns of population differentiation between Fleckvieh and three Chinese taurine breeds against CHBI. Nevertheless, there are genes shared only among the Chinese taurine, such as PAX5, affecting coat color, which might drive the differences between these yellowish coated breeds, and those in the greater Far East region.
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Affiliation(s)
- Maulana M. Naji
- University of Natural Resources and Life Sciences, Vienna, Austria
| | - Yifan Jiang
- China Agricultural University, Beijing, China
| | - Yuri T. Utsunomiya
- Department of Production and Animal Health, School of Veterinary Medicine, São Paulo State University (Unesp), Araçatuba, Brazil
| | - Benjamin D. Rosen
- Animal Genomics and Improvement Laboratory, USDA‐ARS, Beltsville, MD, United States
| | - Johann Sölkner
- University of Natural Resources and Life Sciences, Vienna, Austria
| | | | - Li Jiang
- China Agricultural University, Beijing, China
| | - Qin Zhang
- China Agricultural University, Beijing, China
| | - Yi Zhang
- China Agricultural University, Beijing, China
| | - Xiangdong Ding
- China Agricultural University, Beijing, China
- *Correspondence: Xiangdong Ding, ; Gábor Mészáros,
| | - Gábor Mészáros
- University of Natural Resources and Life Sciences, Vienna, Austria
- *Correspondence: Xiangdong Ding, ; Gábor Mészáros,
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19
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Vahedi SM, Salek Ardestani S, Pahlevan Afshari K, Ghoreishifar SM, Moghaddaszadeh-Ahrabi S, Banabazi MH, Brito LF. Genome-Wide Selection Signatures and Human-Mediated Introgression Events in Bos taurus indicus-influenced Composite Beef Cattle. Front Genet 2022; 13:844653. [PMID: 35719394 PMCID: PMC9201998 DOI: 10.3389/fgene.2022.844653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 02/09/2022] [Indexed: 11/13/2022] Open
Abstract
Genetic introgression from interbreeding hybridization of European Bos taurus taurus (EBT) and Indian Bos taurus indicus (IBI) cattle breeds have been widely used to combine the climatic resilience of the IBI cattle and the higher productivity of EBT when forming new composite beef cattle (CB) populations. The subsequent breeding strategies have shifted their initial genomic compositions. To uncover population structure, signatures of selection, and potential introgression events in CB populations, high-density genotypes [containing 492,954 single nucleotide polymorphisms (SNPs) after the quality control] of 486 individuals from 15 cattle breeds, including EBT, IBI, and CB populations, along with two Bos grunniens genotypes as outgroup were used in this study. Then, in-depth population genetics analyses were performed for three CB breeds of Beefmaster, Brangus, and Santa Gertrudis. Neighbor-joining, principal components, and admixture analyses confirmed the historical introgression of EBT and IBI haplotypes into CB breeds. The fdM statistics revealed that only 12.9% of CB populations' genetic components are of IBI origin. The results of signatures of selection analysis indicated different patterns of selection signals in the three CB breeds with primary pressure on pathways involved in protein processing and stress response in Beefmaster, cell proliferation regulation and immune response in Brangus, and amino acids and glucose metabolisms in Santa Gertrudis. An average of >90% of genomic regions underlying selection signatures were of EBT origin in the studied CB populations. Investigating the CB breeds' genome allows the estimation of EBT and IBI ancestral proportions and the locations within the genome where either taurine or indicine origin alleles are under selective pressure. Such findings highlight various opportunities to control the selection process more efficiently and explore complementarity at the genomic level in CB populations.
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Affiliation(s)
- Seyed Milad Vahedi
- Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS, Canada
| | - Siavash Salek Ardestani
- Department of Animal Science, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Kian Pahlevan Afshari
- Department of Animal Sciences, Islamic Azad University, Varamin-Pishva Branch, Varamin, Iran
| | - Seyed Mohammad Ghoreishifar
- Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Sima Moghaddaszadeh-Ahrabi
- Department of Animal Science, Faculty of Agriculture and Natural Resources, Islamic Azad University, Tabriz Branch, Tabriz, Iran
| | - Mohammad Hossein Banabazi
- Department of Animal Breeding and Genetics (HGEN), Centre for Veterinary Medicine and Animal Science (VHC), Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden
| | - Luiz Fernando Brito
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States
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20
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Ma X, Cheng H, Liu Y, Sun L, Chen N, Jiang F, You W, Yang Z, Zhang B, Song E, Lei C. Assessing Genomic Diversity and Selective Pressures in Bohai Black Cattle Using Whole-Genome Sequencing Data. Animals (Basel) 2022; 12:ani12050665. [PMID: 35268233 PMCID: PMC8909316 DOI: 10.3390/ani12050665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/16/2022] [Accepted: 03/05/2022] [Indexed: 11/30/2022] Open
Abstract
Simple Summary Bohai Black cattle are one of the indigenous black coat cattle breeds in China, which are famous for their excellent meat quality. Whole-genome sequencing technology has been extensively developed to study species genome genetic diversity, population structure, selection pressure, demographic events, etc. However, a limited number of studies have reported genomic diversity and selection pressures in Bohai Black cattle. The purpose of this study is to analyze population structure and genomic differences between Bohai Black cattle and five “core” cattle populations from all over the world, mainly oriented on the identification of selection signatures using whole-genome sequencing data. In addition, we identify a series of candidate genes that can potentially be related to black coat color, meat quality, immunity, and reproduction in this breed. This study provides valuable genomic resources and theoretical basis for the future breeding of Bohai Black cattle. Abstract Bohai Black cattle are one of the well-known cattle breeds with black coat color in China, which are cultivated for beef. However, no study has conducted a comprehensive analysis of genomic diversity and selective pressures in Bohai Black cattle. Here, we performed a comprehensive analysis of genomic variation in 10 Bohai Black cattle (five newly sequenced and five published) and the published whole-genome sequencing (WGS) data of 50 cattle representing five “core” cattle populations. The population structure analysis revealed that Bohai Black cattle harbored the ancestry with European taurine, Northeast Asian taurine, and Chinese indicine. The Bohai Black cattle demonstrated relatively high genomic diversity from the other cattle breeds, as indicated by the nucleotide diversity (pi), the expected heterozygosity (HE) and the observed heterozygosity (HO), the linkage disequilibrium (LD) decay, and runs of homozygosity (ROH). We identified 65 genes containing more than five non-synonymous SNPs (nsSNPs), and an enrichment analysis revealed the “ECM-receptor interaction” pathways associated with meat quality in Bohai Black cattle. Five methods (CLR, θπ, FST, θπ ratio, and XP-EHH) were used to find several pathways and genes carried selection signatures in Bohai Black cattle, including black coat color (MC1R), muscle development (ITGA9, ENAH, CAPG, ABI2, and ISLR), fat deposition (TBC1D1, CYB5R4, TUSC3, and EPS8), reproduction traits (SPIRE2, KHDRBS2, and FANCA), and immune system response (CD84, SLAMF1, SLAMF6, and CDK10). Taken together, our results provide a valuable resource for characterizing the uniqueness of Bohai Black cattle.
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Affiliation(s)
- Xiaohui Ma
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Shandong Key Lab of Animal Disease Control and Breeding, Jinan 250100, China; (X.M.); (H.C.); (F.J.); (W.Y.)
- College of Animal Science and Technology, Northwest A&F University, Xianyang 712100, China; (Y.L.); (L.S.); (N.C.)
| | - Haijian Cheng
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Shandong Key Lab of Animal Disease Control and Breeding, Jinan 250100, China; (X.M.); (H.C.); (F.J.); (W.Y.)
| | - Yangkai Liu
- College of Animal Science and Technology, Northwest A&F University, Xianyang 712100, China; (Y.L.); (L.S.); (N.C.)
| | - Luyang Sun
- College of Animal Science and Technology, Northwest A&F University, Xianyang 712100, China; (Y.L.); (L.S.); (N.C.)
| | - Ningbo Chen
- College of Animal Science and Technology, Northwest A&F University, Xianyang 712100, China; (Y.L.); (L.S.); (N.C.)
| | - Fugui Jiang
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Shandong Key Lab of Animal Disease Control and Breeding, Jinan 250100, China; (X.M.); (H.C.); (F.J.); (W.Y.)
| | - Wei You
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Shandong Key Lab of Animal Disease Control and Breeding, Jinan 250100, China; (X.M.); (H.C.); (F.J.); (W.Y.)
| | - Zhangang Yang
- HuaXing Bohai Black Cattle Co., Ltd., Binzhou 256600, China;
| | - Baoheng Zhang
- Wudi Animal Husbandry and Veterinary Service Management Center of Binzhou City, Binzhou 256600, China;
| | - Enliang Song
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Shandong Key Lab of Animal Disease Control and Breeding, Jinan 250100, China; (X.M.); (H.C.); (F.J.); (W.Y.)
- Correspondence: (E.S.); (C.L.); Tel.: +86-138-6415-6955 (E.S.); +86-135-7299-2159 (C.L.)
| | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Xianyang 712100, China; (Y.L.); (L.S.); (N.C.)
- Correspondence: (E.S.); (C.L.); Tel.: +86-138-6415-6955 (E.S.); +86-135-7299-2159 (C.L.)
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21
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Cavedon M, vonHoldt B, Hebblewhite M, Hegel T, Heppenheimer E, Hervieux D, Mariani S, Schwantje H, Steenweg R, Watters M, Musiani M. Selection of both habitat and genes in specialized and endangered caribou. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2022; 36. [PMID: 35146809 DOI: 10.1111/cobi.13900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Revised: 01/26/2022] [Accepted: 01/31/2022] [Indexed: 06/14/2023]
Abstract
Genetic mechanisms determining habitat selection and specialization of individuals within species have been hypothesized, but not tested at the appropriate individual level in nature. In this work, we analyzed habitat selection for 139 GPS-collared caribou belonging to three declining ecotypes sampled throughout Northwestern Canada. We used Resource Selection Functions (RSFs) comparing resources at used and available locations. We found that the three caribou ecotypes differed in their use of habitat suggesting specialization. On expected grounds, we also found differences in habitat selection between summer and winter, but also, originally, among the individuals within an ecotype. We next obtained Single Nucleotide Polymorphisms (SNPs) for the same caribou individuals, we detected those associated to habitat selection, and then identified genes linked to these SNPs. These genes had functions related in other organisms to habitat and dietary specializations, and climatic adaptations. We therefore suggest that individual variation in habitat selection was based on genotypic variation in the SNPs of individual caribou, indicating that genetic forces underlie habitat and diet selection in the species. We also suggest that the associations between habitat and genes that we detected may lead to lack of resilience in the species, thus contributing to caribou endangerment. Our work emphasizes that similar mechanisms may exist for other specialized, endangered species. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Maria Cavedon
- Faculty of Environmental Design, University of Calgary, Calgary, AB, T2N 1N4, Canada
| | - Bridgett vonHoldt
- Department of Ecology & Evolutionary Biology, Princeton University, 106A Guyot Hall, Princeton, NJ, 08544-2016, USA
| | - Mark Hebblewhite
- Wildlife Biology Program, Department of Ecosystem and Conservation Sciences, College of Forestry and Conservation, University of Montana, Montana, MT, 59812, USA
| | - Troy Hegel
- Yukon Department of Environment, Whitehorse, Yukon, Y1A 2C6, Canada
- Fish and Wildlife Stewardship Branch, Alberta Environment and Parks, 4999 98 Ave., Edmonton, AB, T6B 2×3, Canada
| | - Elizabeth Heppenheimer
- Department of Ecology & Evolutionary Biology, Princeton University, 106A Guyot Hall, Princeton, NJ, 08544-2016, USA
| | - Dave Hervieux
- Fish and Wildlife Stewardship Branch, Alberta Environment and Parks, Grande Prairie, AB, T8V 6J4, Canada
| | - Stefano Mariani
- School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool, UK
| | - Helen Schwantje
- Wildlife and Habitat Branch, Ministry of Forests, Lands, Natural Resource Operations and Rural Development, Government of British Columbia, 2080 Labieux Road, Nanaimo, BC, V9T 6J 9, Canada
| | - Robin Steenweg
- Pacific Region, Canadian Wildlife Service, Environment and Climate Change Canada, 5421 Robertson Road, Delta, BC, V4K 3N2, Canada
| | - Megan Watters
- Land and Resource Specialist, 300 - 10003 110th Avenue Fort, St. John, BC, V1J 6M7, Canada
| | - Marco Musiani
- Dept. of Biological Sciences, Faculty of Science and Veterinary Medicine (Joint Appointment), University of Calgary, Calgary, AB, T2N 1N4, Canada
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22
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Maiorano AM, Cardoso DF, Carvalheiro R, Júnior GAF, de Albuquerque LG, de Oliveira HN. Signatures of selection in Nelore cattle revealed by whole-genome sequencing data. Genomics 2022; 114:110304. [DOI: 10.1016/j.ygeno.2022.110304] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 01/07/2022] [Accepted: 02/01/2022] [Indexed: 11/04/2022]
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23
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Niego A, Benítez-Burraco A. Are feralization and domestication truly mirror processes? ETHOL ECOL EVOL 2021. [DOI: 10.1080/03949370.2021.1975314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Amy Niego
- PhD Program, Faculty of Philology, University of Seville, C/Palos de la Frontera s/n, 41004 Sevilla, Spain
| | - Antonio Benítez-Burraco
- Department of Spanish, Linguistics, and Theory of Literature (Linguistics), Faculty of Philology, University of Seville, C/Palos de la Frontera s/n, 41004 Sevilla, Spain (E-mail: )
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24
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Tan X, Liu L, Liu X, Cui H, Liu R, Zhao G, Wen J. Large-Scale Whole Genome Sequencing Study Reveals Genetic Architecture and Key Variants for Breast Muscle Weight in Native Chickens. Genes (Basel) 2021; 13:genes13010003. [PMID: 35052342 PMCID: PMC8774586 DOI: 10.3390/genes13010003] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 12/16/2021] [Accepted: 12/17/2021] [Indexed: 12/30/2022] Open
Abstract
Breast muscle weight (BrW) is one of the most important economic traits in chicken, and directional breeding for that results in both phenotypic and genetic changes. The Jingxing yellow chicken, including an original (without human-driven selection) line and a selected line (based on selection for increased intramuscular fat content), were used to dissect the genetic architecture and key variants associated with BrW. We detected 1069 high-impact single nucleotide polymorphisms (SNPs) with high conserved score and significant frequency difference between two lines. Based on the annotation result, the ECM-receptor interaction and fatty acid biosynthesis were enriched, and muscle-related genes, including MYOD1, were detected. By performing genome-wide association study for the BrW trait, we defined a major haplotype and two conserved SNPs that affected BrW. By integrated genomic and transcriptomic analysis, IGF2BP1 was identified as the crucial gene associated with BrW. In conclusion, these results offer a new insight into chicken directional selection and provide target genetic markers by which to improve chicken BrW.
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Affiliation(s)
- Xiaodong Tan
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.T.); (X.L.); (H.C.); (R.L.); (G.Z.)
| | - Lu Liu
- College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou 311302, China;
| | - Xiaojing Liu
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.T.); (X.L.); (H.C.); (R.L.); (G.Z.)
| | - Huanxian Cui
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.T.); (X.L.); (H.C.); (R.L.); (G.Z.)
| | - Ranran Liu
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.T.); (X.L.); (H.C.); (R.L.); (G.Z.)
| | - Guiping Zhao
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.T.); (X.L.); (H.C.); (R.L.); (G.Z.)
| | - Jie Wen
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.T.); (X.L.); (H.C.); (R.L.); (G.Z.)
- Correspondence:
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25
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Hartfield M, Poulsen NA, Guldbrandtsen B, Bataillon T. Using singleton densities to detect recent selection in Bos taurus. Evol Lett 2021; 5:595-606. [PMID: 34917399 PMCID: PMC8645200 DOI: 10.1002/evl3.263] [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: 06/02/2020] [Revised: 10/07/2021] [Accepted: 10/08/2021] [Indexed: 11/05/2022] Open
Abstract
Many quantitative traits are subject to polygenic selection, where several genomic regions undergo small, simultaneous changes in allele frequency that collectively alter a phenotype. The widespread availability of genome data, along with novel statistical techniques, has made it easier to detect these changes. We apply one such method, the "Singleton Density Score" (SDS), to the Holstein breed of Bos taurus to detect recent selection (arising up to around 740 years ago). We identify several genes as candidates for targets of recent selection, including some relating to cell regulation, catabolic processes, neural-cell adhesion and immunity. We do not find strong evidence that three traits that are important to humans-milk protein content, milk fat content, and stature-have been subject to directional selection. Simulations demonstrate that because B. taurus recently experienced a population bottleneck, singletons are depleted so the power of SDS methods is reduced. These results inform on which genes underlie recent genetic change in B. taurus, while providing information on how polygenic selection can be best investigated in future studies.
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Affiliation(s)
- Matthew Hartfield
- Bioinformatics Research CentreAarhus UniversityAarhusDK‐8000Denmark
- Institute of Evolutionary BiologyUniversity of EdinburghEdinburghEH9 3FLUnited Kingdom
| | | | - Bernt Guldbrandtsen
- Center for Quantitative Genetics and Genomics, Department of Molecular Biology and GeneticsAarhus UniversityTjeleDK‐8830Denmark
- Rheinische Friedrich‐Wilhelms‐Universität BonnInstitut für TierwissenschaftenBonnDE‐53115Germany
- Department of Veterinary SciencesCopenhagen UniversityFrederiksberg CDK‐1870Denmark
| | - Thomas Bataillon
- Bioinformatics Research CentreAarhus UniversityAarhusDK‐8000Denmark
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26
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Zhu T, Qi X, Chen Y, Wang L, Lv X, Yang W, Zhang J, Li K, Ning Z, Jiang Z, Qu L. Positive selection of skeleton-related genes during duck domestication revealed by whole genome sequencing. BMC Ecol Evol 2021; 21:165. [PMID: 34488647 PMCID: PMC8419914 DOI: 10.1186/s12862-021-01894-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 08/20/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Domestication alters several phenotypic, neurological, and physiological traits in domestic animals compared to those in their wild ancestors. Domestic ducks originated from mallards, and some studies have shown that spot-billed ducks may have also made minor genetic contributions to domestication. Compared with the two ancestral species, domestic ducks generally differ in body size and bone morphology. In this study, we performed both genomic and transcriptomic analyses to identify candidate genes for elucidating the genetic mechanisms underlying phenotypic variation. METHODS In this study, the duck genome data from eight domestic breeds and two wild species were collected to study the genetic changes during domestication. And the transcriptome data of different tissues from wild ducks and seven domestic ducks were used to reveal the expression difference between wild and domestic ducks. RESULTS Using fixation index (Fst) algorithm and transcriptome data, we found that the genes related to skeletal development had high Fst values in wild and domestic breeds, and the differentially expressed genes were mainly enriched in the ossification pathway. Our data strongly suggest that the skeletal systems of domestic ducks were changed to adapt to artificial selection for larger sizes. In addition, by combining the genome and transcriptome data, we found that some Fst candidate genes exhibited different expression patterns, and these genes were found to be involved in digestive, immune, and metabolic functions. CONCLUSIONS A wide range of phenotypic differences exists between domestic and wild ducks. Through both genome and transcriptome analyses, we found that genes related to the skeletal system in domestic ducks were strongly selected. Our findings provide new insight into duck domestication and selection effects during the domestication.
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Affiliation(s)
- Tao Zhu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing, 100193, China
| | - Xin Qi
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing, 100193, China
| | - Yu Chen
- Beijing General Station of Animal Husbandry, Beiyuan Road 15A#, Beijing, 100107, China
| | - Liang Wang
- Beijing General Station of Animal Husbandry, Beiyuan Road 15A#, Beijing, 100107, China
| | - Xueze Lv
- Beijing General Station of Animal Husbandry, Beiyuan Road 15A#, Beijing, 100107, China
| | - Weifang Yang
- Beijing General Station of Animal Husbandry, Beiyuan Road 15A#, Beijing, 100107, China
| | - Jianwei Zhang
- Beijing General Station of Animal Husbandry, Beiyuan Road 15A#, Beijing, 100107, China
| | - Kaiyang Li
- Beijing General Station of Animal Husbandry, Beiyuan Road 15A#, Beijing, 100107, China
| | - Zhonghua Ning
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing, 100193, China
| | - Zhihua Jiang
- Department of Animal Sciences, Center for Reproductive Biology, Veterinary and Biomedical Research Building, Washington State University, Pullman, Washington, 647010, USA
| | - Lujiang Qu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing, 100193, China.
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27
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Johnsson M, Henriksen R, Wright D. The neural crest cell hypothesis: no unified explanation for domestication. Genetics 2021; 219:iyab097. [PMID: 34849908 PMCID: PMC8633120 DOI: 10.1093/genetics/iyab097] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 02/11/2021] [Indexed: 12/03/2022] Open
Affiliation(s)
- Martin Johnsson
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala 750 07, Sweden
| | - Rie Henriksen
- IFM Biology, Linköping University, Linköping 58183, Sweden
| | - Dominic Wright
- IFM Biology, Linköping University, Linköping 58183, Sweden
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28
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Stephan W. Rapid Evolutionary Adaptation in Response to Selection on Quantitative Traits. Life (Basel) 2021; 11:life11080797. [PMID: 34440541 PMCID: PMC8398862 DOI: 10.3390/life11080797] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 07/29/2021] [Accepted: 08/03/2021] [Indexed: 11/25/2022] Open
Abstract
Evolutionary adaptation after sudden environmental changes can occur very rapidly. The mechanisms facilitating rapid adaptation range from strong positive directional selection leading to large shifts in the allele frequencies at a few loci (selective sweeps) to polygenic selection causing small changes in allele frequencies at many loci. In addition, combinations of these two extreme mechanisms may also result in fast evolution. In recent years, following reports of new case studies of rapid adaptation, population genetic models have been proposed to explain these observations. In these models, the role of the major selective forces (positive directional and stabilizing selection) is highlighted as well as the genetic architecture of quantitative traits. Furthermore, the factors limiting the speed of adaptation are analyzed, in particular, the effects of random genetic drift and demography due to finite population size.
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Affiliation(s)
- Wolfgang Stephan
- Natural History Museum, 10115 Berlin, Germany;
- Faculty of Biology, Evolutionary Biology, Ludwig-Maximilian University of Munich, 82152 Planegg-Martinsried, Germany
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29
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Niu Q, Zhang T, Xu L, Wang T, Wang Z, Zhu B, Zhang L, Gao H, Song J, Li J, Xu L. Integration of selection signatures and multi-trait GWAS reveals polygenic genetic architecture of carcass traits in beef cattle. Genomics 2021; 113:3325-3336. [PMID: 34314829 DOI: 10.1016/j.ygeno.2021.07.025] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 05/05/2021] [Accepted: 07/22/2021] [Indexed: 11/18/2022]
Abstract
Carcass merits are widely considered as economically important traits affecting beef production in the beef cattle industry. However, the genetic basis of carcass traits remains to be well understood. Here, we applied multiple methods, including the Composite of Likelihood Ratio (CLR) and Genome-wide Association Study (GWAS), to explore the selection signatures and candidate variants affecting carcass traits. We identified 11,600 selected regions overlapping with 2214 candidate genes, and most of those were enriched in binding and gene regulation. Notably, we identified 66 and 110 potential variants significantly associated with carcass traits using single-trait and multi-traits analyses, respectively. By integrating selection signatures with single and multi-traits associations, we identified 12 and 27 putative genes, respectively. Several highly conserved missense variants were identified in OR5M13D, NCAPG, and TEX2. Our study supported polygenic genetic architecture of carcass traits and provided novel insights into the genetic basis of complex traits in beef cattle.
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Affiliation(s)
- Qunhao Niu
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Tianliu Zhang
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Ling Xu
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Tianzhen Wang
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zezhao Wang
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Bo Zhu
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Lupei Zhang
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Huijiang Gao
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Jiuzhou Song
- Department of Animal and Avian Science, University of Maryland, College Park, USA
| | - Junya Li
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Lingyang Xu
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
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30
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Benítez-Burraco A, Chekalin E, Bruskin S, Tatarinova T, Morozova I. Recent selection of candidate genes for mammal domestication in Europeans and language change in Europe: a hypothesis. Ann Hum Biol 2021; 48:313-320. [PMID: 34241552 DOI: 10.1080/03014460.2021.1936634] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND AND AIM Human evolution resulted from changes in our biology, behaviour, and culture. One source of these changes has been hypothesised to be our self-domestication (that is, the development in humans of features commonly found in domesticated strains of mammals, seemingly as a result of selection for reduced aggression). Signals of domestication, notably brain size reduction, have increased in recent times. METHODS In this paper, we compare whole-genome data between the Late Neolithic/Bronze Age individuals and modern Europeans. RESULTS We show that genes associated with mammal domestication and with neural crest development and function are significantly differently enriched in nonsynonymous single nucleotide polymorphisms between these two groups. CONCLUSION We hypothesise that these changes might account for the increased features of self-domestication in modern humans and, ultimately, for subtle recent changes in human cognition and behaviour, including language.
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Affiliation(s)
- Antonio Benítez-Burraco
- Department of Spanish, Linguistics, and Theory of Literature, Faculty of Philology, University of Seville, Seville, Spain
| | - Evgeny Chekalin
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Sergey Bruskin
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Tatiana Tatarinova
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.,Department of Biology, University of La Verne, La Verne, CA, USA.,A. A. Kharkevich Institute for Information Transmission Problems, Moscow, Russia.,Department of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, Russia
| | - Irina Morozova
- Institute of Evolutionary Medicine, University of Zurich, Zurich, Switzerland
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31
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Rowan TN, Durbin HJ, Seabury CM, Schnabel RD, Decker JE. Powerful detection of polygenic selection and evidence of environmental adaptation in US beef cattle. PLoS Genet 2021; 17:e1009652. [PMID: 34292938 PMCID: PMC8297814 DOI: 10.1371/journal.pgen.1009652] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 06/09/2021] [Indexed: 12/19/2022] Open
Abstract
Selection on complex traits can rapidly drive evolution, especially in stressful environments. This polygenic selection does not leave intense sweep signatures on the genome, rather many loci experience small allele frequency shifts, resulting in large cumulative phenotypic changes. Directional selection and local adaptation are changing populations; but, identifying loci underlying polygenic or environmental selection has been difficult. We use genomic data on tens of thousands of cattle from three populations, distributed over time and landscapes, in linear mixed models with novel dependent variables to map signatures of selection on complex traits and local adaptation. We identify 207 genomic loci associated with an animal's birth date, representing ongoing selection for monogenic and polygenic traits. Additionally, hundreds of additional loci are associated with continuous and discrete environments, providing evidence for historical local adaptation. These candidate loci highlight the nervous system's possible role in local adaptation. While advanced technologies have increased the rate of directional selection in cattle, it has likely been at the expense of historically generated local adaptation, which is especially problematic in changing climates. When applied to large, diverse cattle datasets, these selection mapping methods provide an insight into how selection on complex traits continually shapes the genome. Further, understanding the genomic loci implicated in adaptation may help us breed more adapted and efficient cattle, and begin to understand the basis for mammalian adaptation, especially in changing climates. These selection mapping approaches help clarify selective forces and loci in evolutionary, model, and agricultural contexts.
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Affiliation(s)
- Troy N. Rowan
- Division of Animal Sciences, University of Missouri, Columbia, Missouri, United States of America
- Genetics Area Program, University of Missouri, Columbia, Missouri, United States of America
- Department of Animal Science, University of Tennessee, Knoxville, Tennessee, United States of America
- College of Veterinary Medicine, Large Animal Clinical Science, University of Tennessee, Knoxville, Tennessee, United States of America
| | - Harly J. Durbin
- Division of Animal Sciences, University of Missouri, Columbia, Missouri, United States of America
- Genetics Area Program, University of Missouri, Columbia, Missouri, United States of America
| | - Christopher M. Seabury
- Department of Veterinary Pathobiology, Texas A&M University, College Station, Texas, United States of America
| | - Robert D. Schnabel
- Division of Animal Sciences, University of Missouri, Columbia, Missouri, United States of America
- Genetics Area Program, University of Missouri, Columbia, Missouri, United States of America
- Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri, United States of America
| | - Jared E. Decker
- Division of Animal Sciences, University of Missouri, Columbia, Missouri, United States of America
- Genetics Area Program, University of Missouri, Columbia, Missouri, United States of America
- Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri, United States of America
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Geibel J, Reimer C, Pook T, Weigend S, Weigend A, Simianer H. How imputation can mitigate SNP ascertainment Bias. BMC Genomics 2021; 22:340. [PMID: 33980139 PMCID: PMC8114708 DOI: 10.1186/s12864-021-07663-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 04/28/2021] [Indexed: 12/30/2022] Open
Abstract
Background Population genetic studies based on genotyped single nucleotide polymorphisms (SNPs) are influenced by a non-random selection of the SNPs included in the used genotyping arrays. The resulting bias in the estimation of allele frequency spectra and population genetics parameters like heterozygosity and genetic distances relative to whole genome sequencing (WGS) data is known as SNP ascertainment bias. Full correction for this bias requires detailed knowledge of the array design process, which is often not available in practice. This study suggests an alternative approach to mitigate ascertainment bias of a large set of genotyped individuals by using information of a small set of sequenced individuals via imputation without the need for prior knowledge on the array design. Results The strategy was first tested by simulating additional ascertainment bias with a set of 1566 chickens from 74 populations that were genotyped for the positions of the Affymetrix Axiom™ 580 k Genome-Wide Chicken Array. Imputation accuracy was shown to be consistently higher for populations used for SNP discovery during the simulated array design process. Reference sets of at least one individual per population in the study set led to a strong correction of ascertainment bias for estimates of expected and observed heterozygosity, Wright’s Fixation Index and Nei’s Standard Genetic Distance. In contrast, unbalanced reference sets (overrepresentation of populations compared to the study set) introduced a new bias towards the reference populations. Finally, the array genotypes were imputed to WGS by utilization of reference sets of 74 individuals (one per population) to 98 individuals (additional commercial chickens) and compared with a mixture of individually and pooled sequenced populations. The imputation reduced the slope between heterozygosity estimates of array data and WGS data from 1.94 to 1.26 when using the smaller balanced reference panel and to 1.44 when using the larger but unbalanced reference panel. This generally supported the results from simulation but was less favorable, advocating for a larger reference panel when imputing to WGS. Conclusions The results highlight the potential of using imputation for mitigation of SNP ascertainment bias but also underline the need for unbiased reference sets. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07663-6.
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Affiliation(s)
- Johannes Geibel
- Department of Animal Sciences, Animal Breeding and Genetics Group, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Göttingen, Germany. .,Center for Integrated Breeding Research, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Göttingen, Germany.
| | - Christian Reimer
- Department of Animal Sciences, Animal Breeding and Genetics Group, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Göttingen, Germany.,Center for Integrated Breeding Research, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Göttingen, Germany
| | - Torsten Pook
- Department of Animal Sciences, Animal Breeding and Genetics Group, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Göttingen, Germany.,Center for Integrated Breeding Research, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Göttingen, Germany
| | - Steffen Weigend
- Center for Integrated Breeding Research, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Göttingen, Germany.,Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Höltystrasse 10, 31535, Neustadt-Mariensee, Germany
| | - Annett Weigend
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Höltystrasse 10, 31535, Neustadt-Mariensee, Germany
| | - Henner Simianer
- Department of Animal Sciences, Animal Breeding and Genetics Group, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Göttingen, Germany.,Center for Integrated Breeding Research, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Göttingen, Germany
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Nosková A, Bhati M, Kadri NK, Crysnanto D, Neuenschwander S, Hofer A, Pausch H. Characterization of a haplotype-reference panel for genotyping by low-pass sequencing in Swiss Large White pigs. BMC Genomics 2021; 22:290. [PMID: 33882824 PMCID: PMC8061004 DOI: 10.1186/s12864-021-07610-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 04/13/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The key-ancestor approach has been frequently applied to prioritize individuals for whole-genome sequencing based on their marginal genetic contribution to current populations. Using this approach, we selected 70 key ancestors from two lines of the Swiss Large White breed that have been selected divergently for fertility and fattening traits and sequenced their genomes with short paired-end reads. RESULTS Using pedigree records, we estimated the effective population size of the dam and sire line to 72 and 44, respectively. In order to assess sequence variation in both lines, we sequenced the genomes of 70 boars at an average coverage of 16.69-fold. The boars explained 87.95 and 95.35% of the genetic diversity of the breeding populations of the dam and sire line, respectively. Reference-guided variant discovery using the GATK revealed 26,862,369 polymorphic sites. Principal component, admixture and fixation index (FST) analyses indicated considerable genetic differentiation between the lines. Genomic inbreeding quantified using runs of homozygosity was higher in the sire than dam line (0.28 vs 0.26). Using two complementary approaches, we detected 51 signatures of selection. However, only six signatures of selection overlapped between both lines. We used the sequenced haplotypes of the 70 key ancestors as a reference panel to call 22,618,811 genotypes in 175 pigs that had been sequenced at very low coverage (1.11-fold) using the GLIMPSE software. The genotype concordance, non-reference sensitivity and non-reference discrepancy between thus inferred and Illumina PorcineSNP60 BeadChip-called genotypes was 97.60, 98.73 and 3.24%, respectively. The low-pass sequencing-derived genomic relationship coefficients were highly correlated (r > 0.99) with those obtained from microarray genotyping. CONCLUSIONS We assessed genetic diversity within and between two lines of the Swiss Large White pig breed. Our analyses revealed considerable differentiation, even though the split into two populations occurred only few generations ago. The sequenced haplotypes of the key ancestor animals enabled us to implement genotyping by low-pass sequencing which offers an intriguing cost-effective approach to increase the variant density over current array-based genotyping by more than 350-fold.
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Affiliation(s)
- Adéla Nosková
- Animal Genomics, ETH Zürich, Eschikon 27, 8315, Lindau, Switzerland.
| | - Meenu Bhati
- Animal Genomics, ETH Zürich, Eschikon 27, 8315, Lindau, Switzerland
| | | | - Danang Crysnanto
- Animal Genomics, ETH Zürich, Eschikon 27, 8315, Lindau, Switzerland
| | | | | | - Hubert Pausch
- Animal Genomics, ETH Zürich, Eschikon 27, 8315, Lindau, Switzerland
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Eusebi PG, Sevane N, O'Rourke T, Pizarro M, Boeckx C, Dunner S. Gene expression profiles underlying aggressive behavior in the prefrontal cortex of cattle. BMC Genomics 2021; 22:245. [PMID: 33827428 PMCID: PMC8028707 DOI: 10.1186/s12864-021-07505-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 03/01/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Aggressive behavior is an ancient and conserved trait, habitual for most animals in order to eat, protect themselves, compete for mating and defend their territories. Genetic factors have been shown to play an important role in the development of aggression both in animals and humans, displaying moderate to high heritability estimates. Although such types of behaviors have been studied in different animal models, the molecular architecture of aggressiveness remains poorly understood. This study compared gene expression profiles of 16 prefrontal cortex (PFC) samples from aggressive and non-aggressive cattle breeds: Lidia, selected for agonistic responses, and Wagyu, selected for tameness. RESULTS A total of 918 up-regulated and 278 down-regulated differentially expressed genes (DEG) were identified, representing above-chance overlap with genes previously identified in studies of aggression across species, as well as those implicated in recent human evolution. The functional interpretation of the up-regulated genes in the aggressive cohort revealed enrichment of pathways such as Alzheimer disease-presenilin, integrins and the ERK/MAPK signaling cascade, all implicated in the development of abnormal aggressive behaviors and neurophysiological disorders. Moreover, gonadotropins, are up-regulated as natural mechanisms enhancing aggression. Concomitantly, heterotrimeric G-protein pathways, associated with low reactivity mental states, and the GAD2 gene, a repressor of agonistic reactions associated with PFC activity, are down-regulated, promoting the development of the aggressive responses selected for in Lidia cattle. We also identified six upstream regulators, whose functional activity fits with the etiology of abnormal behavioral responses associated with aggression. CONCLUSIONS These transcriptional correlates of aggression, resulting, at least in part, from controlled artificial selection, can provide valuable insights into the complex architecture that underlies naturally developed agonistic behaviors. This analysis constitutes a first important step towards the identification of the genes and metabolic pathways that promote aggression in cattle and, providing a novel model species to disentangle the mechanisms underlying variability in aggressive behavior.
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Affiliation(s)
- Paulina G Eusebi
- Universidad Complutense de Madrid, Avenida Puerta de Hierro, s/n, 28040, Madrid, Spain.
| | - Natalia Sevane
- Universidad Complutense de Madrid, Avenida Puerta de Hierro, s/n, 28040, Madrid, Spain
| | - Thomas O'Rourke
- Universitat de Barcelona, Gran Vía de les Corts Catalanes 585, 08007, Barcelona, Spain.,UBICS, Carrer Martí Franqués 1, 08028, Barcelona, Spain
| | - Manuel Pizarro
- Universidad Complutense de Madrid, Avenida Puerta de Hierro, s/n, 28040, Madrid, Spain
| | - Cedric Boeckx
- Universitat de Barcelona, Gran Vía de les Corts Catalanes 585, 08007, Barcelona, Spain.,UBICS, Carrer Martí Franqués 1, 08028, Barcelona, Spain.,ICREA, Passeig Lluís Companys 23, 08010, Barcelona, Spain
| | - Susana Dunner
- Universidad Complutense de Madrid, Avenida Puerta de Hierro, s/n, 28040, Madrid, Spain
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Geibel J, Reimer C, Weigend S, Weigend A, Pook T, Simianer H. How array design creates SNP ascertainment bias. PLoS One 2021; 16:e0245178. [PMID: 33784304 PMCID: PMC8009414 DOI: 10.1371/journal.pone.0245178] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 12/22/2020] [Indexed: 12/30/2022] Open
Abstract
Single nucleotide polymorphisms (SNPs), genotyped with arrays, have become a widely used marker type in population genetic analyses over the last 10 years. However, compared to whole genome re-sequencing data, arrays are known to lack a substantial proportion of globally rare variants and tend to be biased towards variants present in populations involved in the development process of the respective array. This affects population genetic estimators and is known as SNP ascertainment bias. We investigated factors contributing to ascertainment bias in array development by redesigning the Axiom™ Genome-Wide Chicken Array in silico and evaluating changes in allele frequency spectra and heterozygosity estimates in a stepwise manner. A sequential reduction of rare alleles during the development process was shown. This was mainly caused by the identification of SNPs in a limited set of populations and a within-population selection of common SNPs when aiming for equidistant spacing. These effects were shown to be less severe with a larger discovery panel. Additionally, a generally massive overestimation of expected heterozygosity for the ascertained SNP sets was shown. This overestimation was 24% higher for populations involved in the discovery process than not involved populations in case of the original array. The same was observed after the SNP discovery step in the redesign. However, an unequal contribution of populations during the SNP selection can mask this effect but also adds uncertainty. Finally, we make suggestions for the design of specialized arrays for large scale projects where whole genome re-sequencing techniques are still too expensive.
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Affiliation(s)
- Johannes Geibel
- Department of Animal Sciences, Animal Breeding and Genetics Group, University of Goettingen, Göttingen, Germany
- Center for Integrated Breeding Research, University of Goettingen, Göttingen, Germany
- * E-mail:
| | - Christian Reimer
- Department of Animal Sciences, Animal Breeding and Genetics Group, University of Goettingen, Göttingen, Germany
- Center for Integrated Breeding Research, University of Goettingen, Göttingen, Germany
| | - Steffen Weigend
- Center for Integrated Breeding Research, University of Goettingen, Göttingen, Germany
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Neustadt-Mariensee, Germany
| | - Annett Weigend
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Neustadt-Mariensee, Germany
| | - Torsten Pook
- Department of Animal Sciences, Animal Breeding and Genetics Group, University of Goettingen, Göttingen, Germany
- Center for Integrated Breeding Research, University of Goettingen, Göttingen, Germany
| | - Henner Simianer
- Department of Animal Sciences, Animal Breeding and Genetics Group, University of Goettingen, Göttingen, Germany
- Center for Integrated Breeding Research, University of Goettingen, Göttingen, Germany
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Wang X, Ju Z, Jiang Q, Zhong J, Liu C, Wang J, Hoff JL, Schnabel RD, Zhao H, Gao Y, Liu W, Wang L, Gao Y, Yang C, Hou M, Huang N, Regitano LCA, Porto-Neto LR, Decker JE, Taylor JF, Huang J. Introgression, admixture, and selection facilitate genetic adaptation to high-altitude environments in cattle. Genomics 2021; 113:1491-1503. [PMID: 33771637 DOI: 10.1016/j.ygeno.2021.03.023] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 03/17/2021] [Accepted: 03/21/2021] [Indexed: 12/30/2022]
Abstract
Domestication and subsequent selection of cattle to form breeds and biological types that can adapt to different environments partitioned ancestral genetic diversity into distinct modern lineages. Genome-wide selection particularly for adaptation to extreme environments left detectable signatures genome-wide. We used high-density genotype data for 42 cattle breeds and identified the influence of Bos grunniens and Bos javanicus on the formation of Chinese indicine breeds that led to their divergence from India-origin zebu. We also found evidence for introgression, admixture, and migration in most of the Chinese breeds. Selection signature analyses between high-altitude (≥1800 m) and low-altitude adapted breeds (<1500 m) revealed candidate genes (ACSS2, ALDOC, EPAS1, EGLN1, NUCB2) and pathways that are putatively involved in hypoxia adaptation. Immunohistochemical, real-time PCR and CRISPR/cas9 ACSS2-knockout analyses suggest that the up-regulation of ACSS2 expression in the liver promotes the metabolic adaptation of cells to hypoxia via the hypoxia-inducible factor pathway. High altitude adaptation involved the introgression of alleles from high-altitude adapted yaks into Chinese Bos taurus taurus prior to their formation into recognized breeds and followed by selection. In addition to selection, adaptation to high altitude environments has been facilitated by admixture and introgression with locally adapted cattle populations.
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Affiliation(s)
- Xiuge Wang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Zhihua Ju
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Qiang Jiang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Jifeng Zhong
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China; Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu 210014, China
| | - Chengkun Liu
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Jinpeng Wang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Jesse L Hoff
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Robert D Schnabel
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA; Informatics Institute, University of Missouri, Columbia, MO 65211, USA
| | - Han Zhao
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China; College of Life Sciences, Shandong Normal University, Jinan, Shandong 250014, China
| | - Yaping Gao
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Wenhao Liu
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Lingling Wang
- Shandong OX Livestock Breeding Co., Ltd., Jinan, Shandong 250131, China
| | - Yundong Gao
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China; Shandong OX Livestock Breeding Co., Ltd., Jinan, Shandong 250131, China
| | - Chunhong Yang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Minghai Hou
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Ning Huang
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan 650201, China
| | | | | | - Jared E Decker
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Jeremy F Taylor
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
| | - Jinming Huang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China; College of Life Sciences, Shandong Normal University, Jinan, Shandong 250014, China.
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Wang X, Jiang W, Luo S, Yang X, Wang C, Wang B, Dang Y, Shen Y, Ma DK. The C. elegans homolog of human panic-disorder risk gene TMEM132D orchestrates neuronal morphogenesis through the WAVE-regulatory complex. Mol Brain 2021; 14:54. [PMID: 33726789 PMCID: PMC7962252 DOI: 10.1186/s13041-021-00767-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Accepted: 03/03/2021] [Indexed: 01/11/2023] Open
Abstract
TMEM132D is a human gene identified with multiple risk alleles for panic disorders, anxiety and major depressive disorders. Defining a conserved family of transmembrane proteins, TMEM132D and its homologs are still of unknown molecular functions. By generating loss-of-function mutants of the sole TMEM132 ortholog in C. elegans, we identify abnormal morphologic phenotypes in the dopaminergic PDE neurons. Using a yeast two-hybrid screen, we find that NAP1 directly interacts with the cytoplasmic domain of human TMEM132D, and mutations in C. elegans tmem-132 that disrupt interaction with NAP1 cause similar morphologic defects in the PDE neurons. NAP1 is a component of the WAVE regulatory complex (WRC) that controls F-actin cytoskeletal dynamics. Decreasing activity of WRC rescues the PDE defects in tmem-132 mutants, whereas gain-of-function of TMEM132D in mammalian cells inhibits WRC, leading to decreased abundance of select WRC components, impaired actin nucleation and cell motility. We propose that metazoan TMEM132 family proteins play evolutionarily conserved roles in regulating NAP1 protein homologs to restrict inappropriate WRC activity, cytoskeletal and morphologic changes in the cell.
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Affiliation(s)
- Xin Wang
- Cardiovascular Research Institute and Department of Physiology, University of California San Francisco, San Francisco, CA, 94158, USA.,State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, 650091, Yunnan, China
| | - Wei Jiang
- Key Laboratory of Metabolism and Molecular Medicine, the Ministry of Education, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Fudan University, Shanghai, 200032, China
| | - Shuo Luo
- Cardiovascular Research Institute and Department of Physiology, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Xiaoyu Yang
- Institute for Human Genetics, Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Changnan Wang
- Cardiovascular Research Institute and Department of Physiology, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Bingying Wang
- Cardiovascular Research Institute and Department of Physiology, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Yongjun Dang
- Key Laboratory of Metabolism and Molecular Medicine, the Ministry of Education, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Fudan University, Shanghai, 200032, China
| | - Yin Shen
- Institute for Human Genetics, Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Dengke K Ma
- Cardiovascular Research Institute and Department of Physiology, University of California San Francisco, San Francisco, CA, 94158, USA.
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Marjanovic J, Calus MPL. Factors affecting accuracy of estimated effective number of chromosome segments for numerically small breeds. J Anim Breed Genet 2021; 138:151-160. [PMID: 33040409 PMCID: PMC7891385 DOI: 10.1111/jbg.12512] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 08/25/2020] [Accepted: 09/12/2020] [Indexed: 11/28/2022]
Abstract
For numerically small breeds, obtaining a sufficiently large breed-specific reference population for genomic prediction is challenging or simply not possible, but may be overcome by adding individuals from another breed. To prioritize among available breeds, the effective number of chromosome segments (Me ) can be used as an indicator of relatedness between individuals from different breeds. The Me is also an important parameter in determining the accuracy of genomic prediction. The Me can be estimated both within a population and between two populations or breeds, as the reciprocal of the variance of genomic relationships. However, the threshold for number of individuals needed to accurately estimate within or between populations Me is currently unknown. It is also unknown if a discrepancy in number of genotyped individuals in two breeds affects the estimates of Me between populations. In this study, we conducted a simulation that mimics current domestic cattle populations in order to investigate how estimated Me is affected by number of genotyped individuals, single-nucleotide polymorphism (SNP) density and pedigree availability. Our results show that a small sample of 10 genotyped individuals may result in substantial over or underestimation of Me . While estimates of within population Me were hardly affected by SNP density, between population Me values were highly dependent on the number of available SNPs, with higher SNP densities being able to detect more independent chromosome segments. When subtracting pedigree from genomic relationships before computing Me , estimates of within population Me were three to four times higher than estimates with genotypes only; however, between Me estimates remained the same. For accurate estimation of within and between population Me , at least 50 individuals should be genotyped per population. Estimates of within Me were highly affected by whether pedigree was used or not. For within Me , even the smallest SNP density (~11k) resulted in accurate representation of family relationships in the population; however, for between Me , many more markers are needed to capture all independent segments.
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Affiliation(s)
- Jovana Marjanovic
- Animal Breeding and GenomicsWageningen University & ResearchWageningenThe Netherlands
| | - Mario P. L. Calus
- Animal Breeding and GenomicsWageningen University & ResearchWageningenThe Netherlands
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Zinovieva NA, Dotsev AV, Sermyagin AA, Deniskova TE, Abdelmanova AS, Kharzinova VR, Sölkner J, Reyer H, Wimmers K, Brem G. Selection signatures in two oldest Russian native cattle breeds revealed using high-density single nucleotide polymorphism analysis. PLoS One 2020; 15:e0242200. [PMID: 33196682 PMCID: PMC7668599 DOI: 10.1371/journal.pone.0242200] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 10/29/2020] [Indexed: 02/07/2023] Open
Abstract
Native cattle breeds can carry specific signatures of selection reflecting their adaptation to the local environmental conditions and response to the breeding strategy used. In this study, we comprehensively analysed high-density single nucleotide polymorphism (SNP) genotypes to characterise the population structure and detect the selection signatures in Russian native Yaroslavl and Kholmogor dairy cattle breeds, which have been little influenced by introgression with transboundary breeds. Fifty-six samples of pedigree-recorded purebred animals, originating from different breeding farms and representing different sire lines, of the two studied breeds were genotyped using a genome-wide bovine genotyping array (Bovine HD BeadChip). Three statistical analyses—calculation of fixation index (FST) for each SNP for the comparison of the pairs of breeds, hapFLK analysis, and estimation of the runs of homozygosity (ROH) islands shared in more than 50% of animals—were combined for detecting the selection signatures in the genome of the studied cattle breeds. We confirmed nine and six known regions under putative selection in the genomes of Yaroslavl and Kholmogor cattle, respectively; the flanking positions of most of these regions were elucidated. Only two of the selected regions (localised on BTA 14 at 24.4–25.1 Mbp and on BTA 16 at 42.5–43.5 Mb) overlapped in Yaroslavl, Kholmogor and Holstein breeds. In addition, we detected three novel selection sweeps in the genome of Yaroslavl (BTA 4 at 4.74–5.36 Mbp, BTA 15 at 17.80–18.77 Mbp, and BTA 17 at 45.59–45.61 Mbp) and Kholmogor breeds (BTA 12 at 82.40–81.69 Mbp, BTA 15 at 16.04–16.62 Mbp, and BTA 18 at 0.19–1.46 Mbp) by using at least two of the above-mentioned methods. We expanded the list of candidate genes associated with the selected genomic regions and performed their functional annotation. We discussed the possible involvement of the identified candidate genes in artificial selection in connection with the origin and development of the breeds. Our findings on the Yaroslavl and Kholmogor breeds obtained using high-density SNP genotyping and three different statistical methods allowed the detection of novel putative genomic regions and candidate genes that might be under selection. These results might be useful for the sustainable development and conservation of these two oldest Russian native cattle breeds.
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Affiliation(s)
- Natalia Anatolievna Zinovieva
- L.K. Ernst Federal Science Center for Animal Husbandry, Federal Agency of Scientific Organizations, settl. Dubrovitzy, Podolsk Region, Moscow Province, Russia
- * E-mail:
| | - Arsen Vladimirovich Dotsev
- L.K. Ernst Federal Science Center for Animal Husbandry, Federal Agency of Scientific Organizations, settl. Dubrovitzy, Podolsk Region, Moscow Province, Russia
| | - Alexander Alexandrovich Sermyagin
- L.K. Ernst Federal Science Center for Animal Husbandry, Federal Agency of Scientific Organizations, settl. Dubrovitzy, Podolsk Region, Moscow Province, Russia
| | - Tatiana Evgenievna Deniskova
- L.K. Ernst Federal Science Center for Animal Husbandry, Federal Agency of Scientific Organizations, settl. Dubrovitzy, Podolsk Region, Moscow Province, Russia
| | - Alexandra Sergeevna Abdelmanova
- L.K. Ernst Federal Science Center for Animal Husbandry, Federal Agency of Scientific Organizations, settl. Dubrovitzy, Podolsk Region, Moscow Province, Russia
| | - Veronika Ruslanovna Kharzinova
- L.K. Ernst Federal Science Center for Animal Husbandry, Federal Agency of Scientific Organizations, settl. Dubrovitzy, Podolsk Region, Moscow Province, Russia
| | - Johann Sölkner
- Division of Livestock Sciences, University of Natural Resources and Life Sciences, Vienna, Austria
| | - Henry Reyer
- Institute of Genome Biology, Leibniz Institute for Farm Animal Biology [FBN], Dummerstorf, Germany
| | - Klaus Wimmers
- Institute of Genome Biology, Leibniz Institute for Farm Animal Biology [FBN], Dummerstorf, Germany
| | - Gottfried Brem
- L.K. Ernst Federal Science Center for Animal Husbandry, Federal Agency of Scientific Organizations, settl. Dubrovitzy, Podolsk Region, Moscow Province, Russia
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine [VMU], Vienna, Austria
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Rafiepour M, Ebrahimie E, Vahidi MF, Salekdeh GH, Niazi A, Dadpasand M, Liang D, Si J, Ding X, Han J, Zhang Y, Qanbari S. Whole-Genome Resequencing Reveals Adaptation Prior to the Divergence of Buffalo Subspecies. Genome Biol Evol 2020; 13:5976760. [PMID: 33179728 DOI: 10.1093/gbe/evaa231] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/28/2020] [Indexed: 01/30/2023] Open
Abstract
The application of high-throughput genotyping or sequencing data helps us to understand the genomic response to natural and artificial selection. In this study, we scanned the genomes of five indigenous buffalo populations belong to three recognized breeds, adapted to different geographical and agro-ecological zones in Iran, to unravel the extent of genomic diversity and to localize genomic regions and genes underwent past selection. A total of 46 river buffalo whole genomes, from West and East Azerbaijan, Gilan, Mazandaran, and Khuzestan provinces, were resequenced. Our sequencing data reached to a coverage above 99% of the river buffalo reference genome and an average read depth around 9.2× per sample. We identified 20.55 million SNPs, including 63,097 missense, 707 stop-gain, and 159 stop-loss mutations that might have functional consequences. Genomic diversity analyses showed modest structuring among Iranian buffalo populations following frequent gene flow or admixture in the recent past. Evidence of positive selection was investigated using both differentiation (Fst) and fixation (Pi) metrics. Analysis of fixation revealed three genomic regions in all three breeds with aberrant polymorphism contents on BBU2, 20, and 21. Fixation signal on BBU2 overlapped with the OCA2-HERC2 genes, suggestive of adaptation to UV exposure through pigmentation mechanism. Further validation using resequencing data from other five bovine species as well as the Axiom Buffalo Genotyping Array 90K data of river and swamp buffaloes indicated that these fixation signals persisted across river and swamp buffaloes and extended to taurine cattle, implying an ancient evolutionary event occurred before the speciation of buffalo and taurine cattle. These results contributed to our understanding of major genetic switches that took place during the evolution of modern buffaloes.
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Affiliation(s)
- Mostafa Rafiepour
- Institute of Biotechnology, School of Agriculture, Shiraz University, Iran.,Department of System Biology, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, Agricultural University, Beijing, China
| | - Esmaeil Ebrahimie
- Institute of Biotechnology, School of Agriculture, Shiraz University, Iran.,Genomics Research Platform, School of Life Sciences, Melbourne, Victoria, Australia.,School of Animal and Veterinary Sciences, The University of Adelaide, South Australia, Australia
| | - Mohammad Farhad Vahidi
- Department of Animal Biotechnology, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Ghasem Hosseini Salekdeh
- Department of System Biology, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Ali Niazi
- Institute of Biotechnology, School of Agriculture, Shiraz University, Iran
| | - Mohammad Dadpasand
- Department of Animal Science, School of Agriculture, Shiraz University, Iran
| | - Dong Liang
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, Agricultural University, Beijing, China
| | - Jingfang Si
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, Agricultural University, Beijing, China
| | - Xiangdong Ding
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, Agricultural University, Beijing, China
| | - Jianlin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,International Livestock Research Institute (ILR), Nairobi, Kenya
| | - Yi Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, Agricultural University, Beijing, China
| | - Saber Qanbari
- Institute of Genetics and Biometry, Leibniz Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
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Moscarelli A, Sardina MT, Cassandro M, Ciani E, Pilla F, Senczuk G, Portolano B, Mastrangelo S. Genome-wide assessment of diversity and differentiation between original and modern Brown cattle populations. Anim Genet 2020; 52:21-31. [PMID: 33174276 DOI: 10.1111/age.13019] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/08/2020] [Indexed: 02/06/2023]
Abstract
Identifying genomic regions involved in the differences between breeds can provide information on genes that are under the influence of both artificial and natural selection. The aim of this study was to assess the genetic diversity and differentiation among four different Brown cattle populations (two original vs. two modern populations) and to characterize the distribution of runs of homozygosity (ROH) islands using the Illumina Bovine SNP50 BeadChip genotyping data. After quality control, 34 735 SNPs and 106 animals were retained for the analyses. Larger heterogeneity was highlighted for the original populations. Patterns of genetic differentiation, multidimensional scaling, and the neighboring joining tree distinguished the modern from the original populations. The FST -outlier identified several genes putatively involved in the genetic differentiation between the two groups, such as stature and growth, behavior, and adaptability to local environments. The ROH islands within both the original and the modern populations overlapped with QTL associated with relevant traits. In modern Brown (Brown Swiss and Italian Brown), ROH islands harbored candidate genes associated with milk production traits, in evident agreement with the artificial selection conducted to improve this trait in these populations. In original Brown (Original Braunvieh and Braunvieh), we identified candidate genes related with fat deposition, confirming that breeding strategies for the original Brown populations aimed to produce dual-purpose animals. Our study highlighted the presence of several genomic regions that vary between Brown populations, in line with their different breeding histories.
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Affiliation(s)
- A Moscarelli
- Dipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, 90128, Italy
| | - M T Sardina
- Dipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, 90128, Italy
| | - M Cassandro
- Dipartimento di Agronomia Animali Alimenti Risorse naturali e Ambiente, University of Padova, Legnaro, 35020, Italy
| | - E Ciani
- Dipartimento di Bioscienze, Biotecnologie e Biofarmaceutica, University of Bari, Bari, 70124, Italy
| | - F Pilla
- Dipartimento Agricoltura, Ambiente e Alimenti, University of Molise, Campobasso, 86100, Italy
| | - G Senczuk
- Dipartimento Agricoltura, Ambiente e Alimenti, University of Molise, Campobasso, 86100, Italy
| | - B Portolano
- Dipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, 90128, Italy
| | - S Mastrangelo
- Dipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, 90128, Italy
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Genome-wide scan for selection signatures reveals novel insights into the adaptive capacity in local North African cattle. Sci Rep 2020; 10:19466. [PMID: 33173134 PMCID: PMC7655849 DOI: 10.1038/s41598-020-76576-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Accepted: 10/27/2020] [Indexed: 12/27/2022] Open
Abstract
Natural-driven selection is supposed to have left detectable signatures on the genome of North African cattle which are often characterized by the fixation of genetic variants associated with traits under selection pressure and/or an outstanding genetic differentiation with other populations at particular loci. Here, we investigate the population genetic structure and we provide a first outline of potential selection signatures in North African cattle using single nucleotide polymorphism genotyping data. After comparing our data to African, European and indicine cattle populations, we identified 36 genomic regions using three extended haplotype homozygosity statistics and 92 outlier markers based on Bayescan test. The 13 outlier windows detected by at least two approaches, harboured genes (e.g. GH1, ACE, ASIC3, HSPH1, MVD, BCL2, HIGD2A, CBFA2T3) that may be involved in physiological adaptations required to cope with environmental stressors that are typical of the North African area such as infectious diseases, extended drought periods, scarce food supply, oxygen scarcity in the mountainous areas and high-intensity solar radiation. Our data also point to candidate genes involved in transcriptional regulation suggesting that regulatory elements had also a prominent role in North African cattle response to environmental constraints. Our study yields novel insights into the unique adaptive capacity in these endangered populations emphasizing the need for the use of whole genome sequence data to gain a better understanding of the underlying molecular mechanisms.
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Genome-Wide Detection of Selection Signatures in Duroc Revealed Candidate Genes Relating to Growth and Meat Quality. G3-GENES GENOMES GENETICS 2020; 10:3765-3773. [PMID: 32859686 PMCID: PMC7534417 DOI: 10.1534/g3.120.401628] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
With the development of high-throughput genotyping techniques, selection signatures in the genome of domestic pigs have been extensively interrogated in the last decade. The Duroc, a major commercial pig breed famous for its fast growth rate and high lean ratio, has not been extensively studied focusing on footprints of intensively artificial selection in their genomes by a lot of re-sequencing data. The goal of this study was to investigate genomic regions under artificial selection and their contribution to the unique phenotypic traits of the Duroc using whole-genome resequencing data from 97 pigs. Three complementary methods (di, CLR, and iHH12) were implemented for selection signature detection. In Total, 464 significant candidate regions were identified, which covered 46.4 Mb of the pig genome. Within the identified regions, 709 genes were annotated, including 600 candidate protein-coding genes (486 functionally annotated genes) and 109 lncRNA genes. Genes undergoing selective pressure were significantly enriched in the insulin resistance signaling pathway, which may partly explain the difference between the Duroc and other breeds in terms of growth rate. The selection signatures identified in the Duroc population demonstrated positive pressures on a set of important genes with potential functions that are involved in many biological processes. The results provide new insights into the genetic mechanisms of fast growth rate and high lean mass, and further facilitate follow-up studies on functional genes that contribute to the Duroc's excellent phenotypic traits.
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Tribout T, Croiseau P, Lefebvre R, Barbat A, Boussaha M, Fritz S, Boichard D, Hoze C, Sanchez MP. Confirmed effects of candidate variants for milk production, udder health, and udder morphology in dairy cattle. Genet Sel Evol 2020; 52:55. [PMID: 32998688 PMCID: PMC7529513 DOI: 10.1186/s12711-020-00575-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 09/18/2020] [Indexed: 11/10/2022] Open
Abstract
Background Over the last years, genome-wide association studies (GWAS) based on imputed whole-genome sequences (WGS) have been used to detect quantitative trait loci (QTL) and highlight candidate genes for important traits. However, in general this approach does not allow to validate the effects of candidate mutations or determine if they are truly causative for the trait(s) in question. To address these questions, we applied a two-step, within-breed GWAS approach on 15 traits (5 linked with milk production, 2 with udder health, and 8 with udder morphology) in Montbéliarde (MON), Normande (NOR), and Holstein (HOL) cattle. We detected the most-promising candidate variants (CV) using imputed WGS of 2515 MON, 2203 NOR, and 6321 HOL bulls, and validated their effects in three younger populations of 23,926 MON, 9400 NOR, and 51,977 HOL cows. Results Bull sequence-based GWAS detected 84 QTL: 13, 10, and 30 for milk production traits; 3, 0, and 2 for somatic cell score (SCS); and 8, 2 and 16 for udder morphology traits, in MON, NOR, and HOL respectively. Five genomic regions with effects on milk production traits were shared among the three breeds whereas six (2 for production and 4 for udder morphology and health traits) had effects in two breeds. In 80 of these QTL, 855 CV were highlighted based on the significance of their effects and functional annotation. The subsequent GWAS on MON, NOR, and HOL cows validated 8, 9, and 23 QTL for production traits; 0, 0, and 1 for SCS; and 4, 1, and 8 for udder morphology traits, respectively. In 47 of the 54 confirmed QTL, the CV identified in bulls had more significant effects than single nucleotide polymorphisms (SNPs) from the standard 50K chip. The best CV for each validated QTL was located in a gene that was functionally related to production (36 QTL) or udder (9 QTL) traits. Conclusions Using this two-step GWAS approach, we identified and validated 54 QTL that included CV mostly located within functional candidate genes and explained up to 6.3% (udder traits) and 37% (production traits) of the genetic variance of economically important dairy traits. These CV are now included in the chip used to evaluate French dairy cattle and can be integrated into routine genomic evaluation.
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Affiliation(s)
- Thierry Tribout
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Pascal Croiseau
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Rachel Lefebvre
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Anne Barbat
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Mekki Boussaha
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Sébastien Fritz
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France.,Allice, 75012, Paris, France
| | - Didier Boichard
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Chris Hoze
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France.,Allice, 75012, Paris, France
| | - Marie-Pierre Sanchez
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France.
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45
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Peripolli E, Reimer C, Ha NT, Geibel J, Machado MA, Panetto JCDC, do Egito AA, Baldi F, Simianer H, da Silva MVGB. Genome-wide detection of signatures of selection in indicine and Brazilian locally adapted taurine cattle breeds using whole-genome re-sequencing data. BMC Genomics 2020; 21:624. [PMID: 32917133 PMCID: PMC7488563 DOI: 10.1186/s12864-020-07035-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 08/27/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The cattle introduced by European conquerors during the Brazilian colonization period were exposed to a process of natural selection in different types of biomes throughout the country, leading to the development of locally adapted cattle breeds. In this study, whole-genome re-sequencing data from indicine and Brazilian locally adapted taurine cattle breeds were used to detect genomic regions under selective pressure. Within-population and cross-population statistics were combined separately in a single score using the de-correlated composite of multiple signals (DCMS) method. Putative sweep regions were revealed by assessing the top 1% of the empirical distribution generated by the DCMS statistics. RESULTS A total of 33,328,447 biallelic SNPs with an average read depth of 12.4X passed the hard filtering process and were used to access putative sweep regions. Admixture has occurred in some locally adapted taurine populations due to the introgression of exotic breeds. The genomic inbreeding coefficient based on runs of homozygosity (ROH) concurred with the populations' historical background. Signatures of selection retrieved from the DCMS statistics provided a comprehensive set of putative candidate genes and revealed QTLs disclosing cattle production traits and adaptation to the challenging environments. Additionally, several candidate regions overlapped with previous regions under selection described in the literature for other cattle breeds. CONCLUSION The current study reported putative sweep regions that can provide important insights to better understand the selective forces shaping the genome of the indicine and Brazilian locally adapted taurine cattle breeds. Such regions likely harbor traces of natural selection pressures by which these populations have been exposed and may elucidate footprints for adaptation to the challenging climatic conditions.
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Affiliation(s)
- Elisa Peripolli
- São Paulo State University (Unesp), School of Agricultural and Veterinarian Sciences, Jaboticabal, 14884-900, Brazil
| | - Christian Reimer
- Animal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Goettingen, Germany
- Center for Integrated Breeding Research, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Goettingen, Germany
| | - Ngoc-Thuy Ha
- Animal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Goettingen, Germany
- Center for Integrated Breeding Research, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Goettingen, Germany
| | - Johannes Geibel
- Animal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Goettingen, Germany
- Center for Integrated Breeding Research, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Goettingen, Germany
| | - Marco Antonio Machado
- National Council for Scientific and Technological Development (CNPq), Lago Sul, 71605-001, Brazil
- Embrapa Dairy Cattle, Juiz de Fora, 36038-330, Brazil
| | | | | | - Fernando Baldi
- São Paulo State University (Unesp), School of Agricultural and Veterinarian Sciences, Jaboticabal, 14884-900, Brazil
| | - Henner Simianer
- Animal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Goettingen, Germany
- Center for Integrated Breeding Research, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Goettingen, Germany
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46
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Paredes-Sánchez FA, Sifuentes-Rincón AM, Casas E, Arellano-Vera W, Parra-Bracamonte GM, Riley DG, Welsh TH, Randel RD. Novel genes involved in the genetic architecture of temperament in Brahman cattle. PLoS One 2020; 15:e0237825. [PMID: 32822435 PMCID: PMC7446865 DOI: 10.1371/journal.pone.0237825] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 08/03/2020] [Indexed: 12/13/2022] Open
Abstract
Cattle temperament is a complex and economically relevant trait. The objective of this study was to identify genomic regions and genes associated with cattle temperament. From a Brahman cattle population of 1,370 animals evaluated for temperament traits (Exit velocity-EV, Pen Score-PS, Temperament Score-TS), two groups of temperament-contrasting animals were identified based on their EV-average values ±1/2 standard deviation (SD). To be considered in the calm group, the EV of females ranged between 0.16–1.82 m/s (n = 50) and the EV of males ranged between 0.4–1.56 m/s (n = 48). Females were classified as temperamental if their EV ranged between 3.13–7.66 m/s (n = 46) and males were classified as temperamental if their EV ranged between 3.05–10.83 m/s (n = 45). Selected animals were genotyped using a total of 139,376 SNPs (GGP-HD-150K), evaluated for their association with EV. The Genome-Wide Association analysis (GWAS) identified fourteen SNPs: rs135340276, rs134895560, rs110190635, rs42949831, rs135982573, rs109393235, rs109531929, rs135087545, rs41839733, rs42486577, rs136661522, rs110882543, rs110864071, rs109722627, (P<8.1E-05), nine of them were located on intergenic regions, harboring seventeen genes, of which only ACER3, VRK2, FANCL and SLCO3A1 were considered candidate associated with bovine temperament due to their reported biological functions. Five SNPs were located at introns of the NRXN3, EXOC4, CACNG4 and SLC9A4 genes. The indicated candidate genes are implicated in a wide range of behavioural phenotypes and complex cognitive functions. The association of the fourteen SNPs on bovine temperament traits (EV, PS and TS) was evaluated; all these SNPs were significant for EV; only some were associated with PS and TS. Fourteen SNPs were associated with EV which allowed the identification of twenty-one candidate genes for Brahman temperament. From a functional point of view, the five intronic SNPs identified in this study, are candidates to address control of bovine temperament, further investigation will probe their role in expression of this trait.
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Affiliation(s)
| | | | - Eduardo Casas
- USDA, ARS, National Animal Disease Center, Ames, IA, United States of America
| | | | | | - David G. Riley
- Texas A&M University, College Station, TX, United States of America
| | - Thomas H. Welsh
- Texas A&M University, College Station, TX, United States of America
| | - Ronald D. Randel
- Texas A&M AgriLife Research, Overton, TX, United States of America
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47
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Chen Q, Shen J, Hanif Q, Chen N, Huang Y, Dang R, Lan X, Chen H, Lei C. Whole genome analyses revealed genomic difference between European taurine and East Asian taurine. J Anim Breed Genet 2020; 138:56-68. [PMID: 32770713 DOI: 10.1111/jbg.12501] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 06/29/2020] [Accepted: 07/10/2020] [Indexed: 12/19/2022]
Abstract
European taurine and East Asian taurine are two main clades in Bos taurus, but their genomic differences are not clearly elucidated. Here, we sequenced 16 Mongolian cattle genomes and compared them to the 92 genomes of 10 representative breeds worldwide. We found the highest LD level in Mishima cattle and the fastest LD decay in European taurine. Phylogenetic analysis revealed that Mongolian, Hanwoo and Mishima cattle were clustered into East Asian taurine. From selective sweep, gene annotation, functional enrichment and differential expression analysis, we identified selective signals including genes and/or pathways related to rapid growth and large body size in European taurine, and superior meat quality in East Asian taurine. Our findings will help us understand the evolutionary history and formation process of the breeds and provide theoretical materials regarding the genetic mechanism underlying breed characteristics and molecular breeding programmes of the taurine clades in the future.
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Affiliation(s)
- Qiuming Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Jiafei Shen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Quratulain Hanif
- National Institute for Biotechnology and Genetic Engineering, Pakistan Institute of Engineering and Applied Sciences, Faisalabad, Pakistan.,Pakistan Institute of Engineering and Applied Sciences, Nilore, Islamabad, Pakistan
| | - Ningbo Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 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, 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, 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, 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, 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, China
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48
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Li D, Sun G, Zhang M, Cao Y, Zhang C, Fu Y, Li F, Li G, Jiang R, Han R, Li Z, Wang Y, Tian Y, Liu X, Li W, Kang X. Breeding history and candidate genes responsible for black skin of Xichuan black-bone chicken. BMC Genomics 2020; 21:511. [PMID: 32703156 PMCID: PMC7376702 DOI: 10.1186/s12864-020-06900-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Accepted: 07/09/2020] [Indexed: 12/21/2022] Open
Abstract
Background Domesticated chickens have a wide variety of phenotypes, in contrast with their wild progenitors. Unlike other chicken breeds, Xichuan black-bone chickens have blue-shelled eggs, and black meat, beaks, skin, bones, and legs. The breeding history and the economically important traits of this breed have not yet been explored at the genomic level. We therefore used whole genome resequencing to analyze the breeding history of the Xichuan black-bone chickens and to identify genes responsible for its unique phenotype. Results Principal component and population structure analysis showed that Xichuan black-bone chicken is in a distinct clade apart from eight other breeds. Linkage disequilibrium analysis showed that the selection intensity of Xichuan black-bone chickens is higher than for other chicken breeds. The estimated time of divergence between the Xichuan black-bone chickens and other breeds is 2.89 ka years ago. Fst analysis identified a selective sweep that contains genes related to melanogenesis. This region is probably associated with the black skin of the Xichuan black-bone chickens and may be the product of long-term artificial selection. A combined analysis of genomic and transcriptomic data suggests that the candidate gene related to the black-bone trait, EDN3, might interact with the upstream ncRNA LOC101747896 to generate black skin color during melanogenesis. Conclusions These findings help explain the unique genetic and phenotypic characteristics of Xichuan black-bone chickens, and provide basic research data for studying melanin deposition in animals.
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Affiliation(s)
- Donghua Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Guirong Sun
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Meng Zhang
- The First Hospital, Jilin University, Changchun, 130062, Jilin, China
| | - Yanfang Cao
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Chenxi Zhang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Yawei Fu
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Fang Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Guoxi Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Ruirui Jiang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Ruili Han
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Zhuanjian Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Yanbin Wang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Yadong Tian
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Xiaojun Liu
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Wenting Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.
| | - Xiangtao Kang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China. .,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China.
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Genomic Structural Diversity in Local Goats: Analysis of Copy-Number Variations. Animals (Basel) 2020; 10:ani10061040. [PMID: 32560248 PMCID: PMC7341319 DOI: 10.3390/ani10061040] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 06/05/2020] [Accepted: 06/12/2020] [Indexed: 12/14/2022] Open
Abstract
Simple Summary Copy-number variations (CNVs) are one of the widely dispersed forms of structural variations in mammalian genomes and are known to be present in genomic regions that regulate important physiological functions. In this study, CNV detection was performed starting from genotypic data of 120 individuals, belonging to four Sicilian dairy goat breeds, genotyped with the Illumina GoatSNP50 BeadChip array. Using PennCNV software, a total of 702 CNVs were identified in 107 individuals. These were merged in 75 CNV regions (CNVRs), i.e., regions containing CNVs overlapped by at least 1 base pair. Functional annotation of the CNVRs allowed the identification of 139 genes/loci within the most frequent CNVRs, which are involved in local adaptation, mild behaviour, immune response, reproduction, and olfactory receptors. This study provides insights into the genomic variations within these Italian goat breeds and should be of value for future studies to identify the relationships between this type of genetic variation and phenotypic traits. Abstract Copy-number variations (CNVs) are one of the widely dispersed forms of structural variations in mammalian genomes, and are present as deletions, insertions, or duplications. Only few studies have been conducted in goats on CNVs derived from SNP array data, and many local breeds still remain uncharacterized, e.g., the Sicilian goat dairy breeds. In this study, CNV detection was performed, starting from the genotypic data of 120 individuals, belonging to four local breeds (Argentata dell’Etna, Derivata di Siria, Girgentana, and Messinese), genotyped with the Illumina GoatSNP50 BeadChip array. Overall, 702 CNVs were identified in 107 individuals using PennCNV software based on the hidden Markov model algorithm. These were merged in 75 CNV regions (CNVRs), i.e., regions containing CNVs overlapped by at least 1 base pair, while 85 CNVs remained unique. The part of the genome covered by CNV events was 35.21 Mb (1.2% of the goat genome length). Functional annotation of the CNVRs allowed the identification of 139 genes/loci within the most frequent CNVRs that are involved in local adaptations, such as coat colour (ADAMTS20 and EDNRA), mild behaviour (NR3C2), immune response (EXOC3L4 and TNFAIP2), reproduction (GBP1 and GBP6), and olfactory receptors (OR7E24). This study provides insights into the genomic variations for these Sicilian dairy goat breeds and should be of value for future studies to identify the relationships between this type of genetic variation and phenotypic traits.
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50
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Aliloo H, Mrode R, Okeyo AM, Gibson JP. Ancestral Haplotype Mapping for GWAS and Detection of Signatures of Selection in Admixed Dairy Cattle of Kenya. Front Genet 2020; 11:544. [PMID: 32582285 PMCID: PMC7296079 DOI: 10.3389/fgene.2020.00544] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Accepted: 05/06/2020] [Indexed: 12/11/2022] Open
Abstract
Understanding the genetic structure of adaptation and productivity in challenging environments is necessary for designing breeding programs that suit such conditions. Crossbred dairy cattle in East Africa resulting from over 60 years of crossing exotic dairy breeds with indigenous cattle plus inter se matings form a highly variable admixed population. This population has been subject to natural selection in response to environmental stresses, such as harsh climate, low-quality feeds, poor management, and strong disease challenge. Here, we combine two complementary sets of analyses, genome-wide association (GWA) and signatures of selection (SoS), to identify genomic regions that contribute to variation in milk yield and/or contribute to adaptation in admixed dairy cattle of Kenya. Our GWA separates SNP effects due to ancestral origin of alleles from effects due to within-population linkage disequilibrium. The results indicate that many genomic regions contributed to the high milk production potential of modern dairy breeds with no region having an exceptional effect. For SoS, we used two haplotype-based tests to compare haplotype length variation within admixed and between admixed and East African Shorthorn Zebu cattle populations. The integrated haplotype score (iHS) analysis identified 16 candidate regions for positive selection in the admixed cattle while the between population Rsb test detected 24 divergently selected regions in the admixed cattle compared to East African Shorthorn Zebu. We compare the results from GWA and SoS in an attempt to validate the most significant SoS results. Only four candidate regions for SoS intersect with GWA regions using a low stringency test. The identified SoS candidate regions harbored genes in several enriched annotation clusters and overlapped with previously found QTLs and associations for different traits in cattle. If validated, the GWA and SoS results indicate potential for SNP-based genomic selection for genetic improvement of smallholder crossbred cattle.
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Affiliation(s)
- Hassan Aliloo
- School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia
| | - Raphael Mrode
- Animal Biosciences, International Livestock Research Institute, Nairobi, Kenya.,Animal and Veterinary Science, Scotland's Rural College, Edinburgh, United Kingdom
| | - A M Okeyo
- Animal Biosciences, International Livestock Research Institute, Nairobi, Kenya
| | - John P Gibson
- School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia
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