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Sagi-Dain L, Levy M, Matar R, Kahana S, Agmon-Fishman I, Klein C, Gurevitch M, Basel-Salmon L, Maya I. Exploring the human genomic landscape: patterns of common homozygosity regions in a large middle eastern cohort. Hum Mol Genet 2024:ddae123. [PMID: 39222050 DOI: 10.1093/hmg/ddae123] [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: 04/18/2024] [Revised: 08/05/2024] [Accepted: 08/12/2024] [Indexed: 09/04/2024] Open
Abstract
Regions of Homozygosity (ROH) typically reflect normal demographic history of a human population, but may also relate to cryptic consanguinity, and, additionally, have been associated with specific medical conditions. The objective of this study was to investigate the location, size, and prevalence of common ROH segments in a Middle Eastern cohort. This retrospective study included 13 483 samples collected from all Chromosomal Microarray analyses (CMA) performed using Single Nucleotide Polymorphism (SNP) arrays at the genetic clinical laboratory of Rabin Medical Center between 2017-2023 (primary data set). An additional replication cohort including 100 842 samples from another SNP array platform, obtained from Maccabi Health Organization, was analyzed. Common ROH locations were defined as those ROH locations involving 1% or more of the samples. A total of 66 710 ROH segments, involving 13 035 samples (96.7%) were identified in the primary data set. Of the 4069 cytogenetic ROH locations, 68 were identified as common. The prevalence of non-common ROH was relatively high in affected individuals, and for acrocentric chromosomes, chromosomes associated with common trisomies, and non-imprinted chromosomes. In addition, differences in common ROH locations were observed between the primary and the replication cohorts. Our findings highlight the need for population-specific guidelines in determining ROH reporting cutoffs, considering factors such as population-specific prevalence and testing platform differences. Future research with larger, varied cohorts is essential to advance understanding of ROH's associations with medical conditions and to improve clinical practices accordingly.
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Affiliation(s)
- Lena Sagi-Dain
- Genetics Institute, Carmel Medical Center, affiliated to the Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Michal Levy
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
| | - Reut Matar
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
| | - Sarit Kahana
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
| | - Ifaat Agmon-Fishman
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
| | - Cochava Klein
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
| | - Merav Gurevitch
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
| | - Lina Basel-Salmon
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
- School of Medicine, Faculty of Medical and Health sciences, Tel Aviv University, Tel Aviv 6997801, Israel
- Pediatric Genetics Unit, Schneider Children's Medical Center of Israel, Petah Tikva 4920235, Israel
| | - Idit Maya
- Recanati Genetics Institute, Beilinson Hospital, Rabin Medical Center, Petach Tikva 4941492, Israel
- School of Medicine, Faculty of Medical and Health sciences, Tel Aviv University, Tel Aviv 6997801, Israel
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Goli RC, Mahar K, Manohar PS, Chishi KG, Prabhu IG, Choudhary S, Rathi P, Chinnareddyvari CS, Haritha P, Metta M, Shetkar M, Kumar A, N D CP, Vidyasagar, Sukhija N, Kanaka KK. Insights from homozygous signatures of cervus nippon revealed genetic architecture for components of fitness. Mamm Genome 2024:10.1007/s00335-024-10064-1. [PMID: 39191871 DOI: 10.1007/s00335-024-10064-1] [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: 05/07/2024] [Accepted: 08/13/2024] [Indexed: 08/29/2024]
Abstract
This study investigates the genomic landscape of Sika deer populations, emphasizing the detection and characterization of runs of homozygosity (ROH) and their contribution towards components of fitness. Using 85,001 high-confidence SNPs, the investigation into ROH distribution unveiled nuanced patterns of autozygosity across individuals especially in 2 out of the 8 farms, exhibiting elevated ROH levels and mean genome coverage under ROH segments. The prevalence of shorter ROH segments (0.5-4 Mb) suggests historical relatedness and potential selective pressures within these populations. Intriguingly, despite observed variations in ROH profiles, the overall genomic inbreeding coefficient (FROH) remained relatively low across all farms, indicating a discernible degree of genetic exchange and effective mitigation of inbreeding within the studied Sika deer populations. Consensus ROH (cROH) were found to harbor genes for important functions viz., EGFLAM gene which is involved in the vision function of the eye, SKP2 gene which regulates cell cycle, CAPSL involved in adipogenesis, SPEF2 which is essential for sperm flagellar assembly, DCLK3 involved in the heat stress. This first ever study on ROH in Sika deer, to shed light on the adaptive role of genes in these homozygous regions. The insights garnered from this study have broader implications in the management of genetic diversity in this vulnerable species.
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Affiliation(s)
- Rangasai Chandra Goli
- ICAR-National Dairy Research Institute, Karnal, Haryana, India
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
| | - Karan Mahar
- ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - Peela Sai Manohar
- ICAR-Indian Veterinary Research Institute, Izatnagar, Uttar Pradesh, India
| | - Kiyevi G Chishi
- ICAR-National Dairy Research Institute, Karnal, Haryana, India
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
| | | | - Sonu Choudhary
- ICAR-National Dairy Research Institute, Karnal, Haryana, India
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
| | - Pallavi Rathi
- ICAR-National Dairy Research Institute, Karnal, Haryana, India
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
| | - Chandana Sree Chinnareddyvari
- ICAR-National Dairy Research Institute, Karnal, Haryana, India
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
| | - Pala Haritha
- ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - Muralidhar Metta
- College of Veterinary Science, SVVU, Garividi, Andhra Pradesh, India
| | - Mahantesh Shetkar
- College of Veterinary Sciences and Animal Husbandry, DUVASU, Mathura, Uttar Pradesh, India
| | - Amit Kumar
- ICAR- Indian Institute of Agricultural Biotechnology, Ranchi, Jharkhand, India
| | - Chethan Patil N D
- Department of Agricultural Economics & Extension, Lovely Professional University, Punjab, India
| | - Vidyasagar
- Veterinary College, KVAFSU, Bidar, Karnataka, India
| | - Nidhi Sukhija
- CSB-Central Tasar Research and Training Institute, Ranchi, Jharkhand, India.
| | - K K Kanaka
- ICAR- Indian Institute of Agricultural Biotechnology, Ranchi, Jharkhand, India
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Macharia JK, Kim J, Kim M, Cho E, Munyaneza JP, Lee JH. Characterisation of runs of homozygosity and inbreeding coefficients in the red-brown Korean native chickens. Anim Biosci 2024; 37:1355-1366. [PMID: 38665087 PMCID: PMC11222857 DOI: 10.5713/ab.23.0514] [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: 12/10/2023] [Revised: 02/05/2024] [Accepted: 02/27/2024] [Indexed: 07/05/2024] Open
Abstract
OBJECTIVE The analysis of runs of homozygosity (ROH) has been applied to assess the level of inbreeding and identify selection signatures in various livestock species. The objectives of this study were to characterize the ROH pattern, estimate the rate of inbreeding, and identify signatures of selection in the red-brown Korean native chickens. METHODS The Illumina 60K single nucleotide polymorphism chip data of 651 chickens was used in the analysis. Runs of homozygosity were analysed using the PLINK v1.9 software. Inbreeding coefficients were estimated using the GCTA software and their correlations were examined. Genomic regions with high levels of ROH were explored to identify selection signatures. RESULTS A total of 32,176 ROH segments were detected in this study. The majority of the ROH segments were shorter than 4 Mb. The average ROH inbreeding coefficients (FROH) varied with the length of ROH segments. The means of inbreeding coefficients calculated from different methods were also variable. The correlations between different inbreeding coefficients were positive and highly variable (r = 0.18-1). Five ROH islands harbouring important quantitative trait loci were identified. CONCLUSION This study assessed the level of inbreeding and patterns of homozygosity in Red-brown native Korean chickens. The results of this study suggest that the level of recent inbreeding is low which indicates substantial progress in the conservation of red-brown Korean native chickens. Additionally, Candidate genomic regions associated with important production traits were detected in homozygous regions.
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Affiliation(s)
- John Kariuki Macharia
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134,
Korea
| | - Jaewon Kim
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134,
Korea
| | - Minjun Kim
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134,
Korea
| | - Eunjin Cho
- Department of Bio-AI Convergence, Chungnam National University, Daejeon 34134,
Korea
| | - Jean Pierre Munyaneza
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134,
Korea
| | - Jun Heon Lee
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134,
Korea
- Department of Bio-AI Convergence, Chungnam National University, Daejeon 34134,
Korea
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Cai Z, Hansen LS, Laursen SF, Nielsen HM, Bahrndorff S, Tomberlin JK, Kristensen TN, Sørensen JG, Sahana G. Whole-genome sequencing of two captive black soldier fly populations: Implications for commercial production. Genomics 2024; 116:110891. [PMID: 38909907 DOI: 10.1016/j.ygeno.2024.110891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 05/31/2024] [Accepted: 06/20/2024] [Indexed: 06/25/2024]
Abstract
Black soldier fly (BSF; Hermetia illucens) is a promising insect species for food and feed production as its larvae can convert different organic waste to high-value protein. Selective breeding is one way to optimize production, but the potential of breeding is only starting to be explored and not yet utilized for BSF. To assist in monitoring a captive population and implementing a breeding program, genomics tools are imperative. We conducted whole genome sequencing of two captive populations separated by geographical distance - Denmark (DK) and Texas, USA (TX). Various population genetics analyses revealed a moderate genetic differentiation between two populations. Moreover, we observed higher inbreeding in the DK population, and the detection of a subpopulation within DK population aligned well with the recent foundation of the DK population from two captive populations. Additionally, we generated gene ontology annotation and variants annotation for wider potential applications. Our findings establish a robust marker set for research in population genetics, facilitating the monitoring of inbreeding and laying the groundwork for practical breeding programs for BSF.
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Affiliation(s)
- Zexi Cai
- Center for Quantitative Genetics and Genomics, Aarhus University, C F Møllers Allé 3, 8000 Aarhus, Denmark.
| | - Laura Skrubbeltrang Hansen
- Center for Quantitative Genetics and Genomics, Aarhus University, C F Møllers Allé 3, 8000 Aarhus, Denmark; Department of Biology, Aarhus University, Ny Munkegade 116, 8000 Aarhus, Denmark.
| | - Stine Frey Laursen
- Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220 Aalborg, Denmark.
| | - Hanne Marie Nielsen
- Center for Quantitative Genetics and Genomics, Aarhus University, C F Møllers Allé 3, 8000 Aarhus, Denmark.
| | - Simon Bahrndorff
- Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220 Aalborg, Denmark.
| | | | - Torsten Nygaard Kristensen
- Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220 Aalborg, Denmark.
| | | | - Goutam Sahana
- Center for Quantitative Genetics and Genomics, Aarhus University, C F Møllers Allé 3, 8000 Aarhus, Denmark.
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Naseri A, Zhi D, Zhang S. Discovery of runs-of-homozygosity diplotype clusters and their associations with diseases in UK Biobank. eLife 2024; 13:e81698. [PMID: 38905121 PMCID: PMC11249732 DOI: 10.7554/elife.81698] [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: 07/08/2022] [Accepted: 06/20/2024] [Indexed: 06/23/2024] Open
Abstract
Runs-of-homozygosity (ROH) segments, contiguous homozygous regions in a genome were traditionally linked to families and inbred populations. However, a growing literature suggests that ROHs are ubiquitous in outbred populations. Still, most existing genetic studies of ROH in populations are limited to aggregated ROH content across the genome, which does not offer the resolution for mapping causal loci. This limitation is mainly due to a lack of methods for the efficient identification of shared ROH diplotypes. Here, we present a new method, ROH-DICE (runs-of-homozygous diplotype cluster enumerator), to find large ROH diplotype clusters, sufficiently long ROHs shared by a sufficient number of individuals, in large cohorts. ROH-DICE identified over 1 million ROH diplotypes that span over 100 single nucleotide polymorphisms (SNPs) and are shared by more than 100 UK Biobank participants. Moreover, we found significant associations of clustered ROH diplotypes across the genome with various self-reported diseases, with the strongest associations found between the extended human leukocyte antigen (HLA) region and autoimmune disorders. We found an association between a diplotype covering the homeostatic iron regulator (HFE) gene and hemochromatosis, even though the well-known causal SNP was not directly genotyped or imputed. Using a genome-wide scan, we identified a putative association between carriers of an ROH diplotype in chromosome 4 and an increase in mortality among COVID-19 patients (p-value = 1.82 × 10-11). In summary, our ROH-DICE method, by calling out large ROH diplotypes in a large outbred population, enables further population genetics into the demographic history of large populations. More importantly, our method enables a new genome-wide mapping approach for finding disease-causing loci with multi-marker recessive effects at a population scale.
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Affiliation(s)
- Ardalan Naseri
- Department of Computer Science, University of Central FloridaOrlandoUnited States
| | - Degui Zhi
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at HoustonHoustonUnited States
| | - Shaojie Zhang
- Department of Computer Science, University of Central FloridaOrlandoUnited States
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Hewett AM, Johnston SE, Morris A, Morris S, Pemberton JM. Genetic architecture of inbreeding depression may explain its persistence in a population of wild red deer. Mol Ecol 2024; 33:e17335. [PMID: 38549143 DOI: 10.1111/mec.17335] [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: 12/05/2023] [Revised: 03/01/2024] [Accepted: 03/20/2024] [Indexed: 04/23/2024]
Abstract
Inbreeding depression is of major concern in declining populations, but relatively little is known about its genetic architecture in wild populations, such as the degree to which it is composed of large or small effect loci and their distribution throughout the genome. Here, we combine fitness and genomic data from a wild population of red deer to investigate the genomic distribution of inbreeding effects. Based on the runs of homozygosity (ROH)-based inbreeding coefficient, FROH, we use chromosome-specific inbreeding coefficients (FROHChr) to explore whether the effect of inbreeding varies between chromosomes. Under the assumption that within an individual the probability of being identical-by-descent is equal across all chromosomes, we used a multi-membership model to estimate the deviation of FROHChr from the average inbreeding effect. This novel approach ensures effect sizes are not overestimated whilst maximising the power of our available dataset of >3000 individuals genotyped on >35,000 autosomal SNPs. We find that most chromosomes confer a minor reduction in fitness-related traits, which when these effects are summed, results in the observed inbreeding depression in birth weight, survival and lifetime breeding success. However, no chromosomes had a significant detrimental effect compared to the overall effect of inbreeding, indicating no major effect loci. We conclude that in this population, inbreeding depression is likely the result of multiple mildly or moderately deleterious mutations spread across all chromosomes, which are difficult to detect with statistical confidence. Such mutations will be inefficiently purged, which may explain the persistence of inbreeding depression in this population.
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Affiliation(s)
- Anna M Hewett
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
- Department of Ecology and Evolution, University of Lausanne (UNIL), Lausanne, Switzerland
| | - Susan E Johnston
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | - Alison Morris
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | - Sean Morris
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | - Josephine M Pemberton
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
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Buthasane W, Shotelersuk V, Chetruengchai W, Srichomthong C, Assawapitaksakul A, Tangphatsornruang S, Pootakham W, Sonthirod C, Tongsima S, Wangkumhang P, Wilantho A, Thongphakdee A, Sanannu S, Poksawat C, Nipanunt T, Kasorndorkbua C, Koepfli KP, Pukazhenthi BS, Suriyaphol P, Wongsurawat T, Jenjaroenpun P, Suriyaphol G. Comprehensive genome assembly reveals genetic diversity and carcass consumption insights in critically endangered Asian king vultures. Sci Rep 2024; 14:9455. [PMID: 38658744 PMCID: PMC11043450 DOI: 10.1038/s41598-024-59990-9] [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: 11/23/2023] [Accepted: 04/17/2024] [Indexed: 04/26/2024] Open
Abstract
The Asian king vulture (AKV), a vital forest scavenger, is facing globally critical endangerment. This study aimed to construct a reference genome to unveil the mechanisms underlying its scavenger abilities and to assess the genetic relatedness of the captive population in Thailand. A reference genome of a female AKV was assembled from sequencing reads obtained from both PacBio long-read and MGI short-read sequencing platforms. Comparative genomics with New World vultures (NWVs) and other birds in the Family Accipitridae revealed unique gene families in AKV associated with retroviral genome integration and feather keratin, contrasting with NWVs' genes related to olfactory reception. Expanded gene families in AKV were linked to inflammatory response, iron regulation and spermatogenesis. Positively selected genes included those associated with anti-apoptosis, immune response and muscle cell development, shedding light on adaptations for carcass consumption and high-altitude soaring. Using restriction site-associated DNA sequencing (RADseq)-based genome-wide single nucleotide polymorphisms (SNPs), genetic relatedness and inbreeding status of five captive AKVs were determined, revealing high genomic inbreeding in two females. In conclusion, the AKV reference genome was established, providing insights into its unique characteristics. Additionally, the potential of RADseq-based genome-wide SNPs for selecting AKV breeders was demonstrated.
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Affiliation(s)
- Wannapol Buthasane
- Biochemistry Unit, Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Vorasuk Shotelersuk
- Center of Excellence for Medical Genomics, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Henri Dunant Road, Pathumwan, Bangkok, 10330, Thailand
- Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, 10330, Thailand
| | - Wanna Chetruengchai
- Center of Excellence for Medical Genomics, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Henri Dunant Road, Pathumwan, Bangkok, 10330, Thailand
- Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, 10330, Thailand
| | - Chalurmpon Srichomthong
- Center of Excellence for Medical Genomics, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Henri Dunant Road, Pathumwan, Bangkok, 10330, Thailand
- Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, 10330, Thailand
| | - Adjima Assawapitaksakul
- Center of Excellence for Medical Genomics, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Henri Dunant Road, Pathumwan, Bangkok, 10330, Thailand
- Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, 10330, Thailand
| | - Sithichoke Tangphatsornruang
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency, Pathum Thani, 12120, Thailand
| | - Wirulda Pootakham
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency, Pathum Thani, 12120, Thailand
| | - Chutima Sonthirod
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency, Pathum Thani, 12120, Thailand
| | - Sissades Tongsima
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency, Pathum Thani, 12120, Thailand
| | - Pongsakorn Wangkumhang
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency, Pathum Thani, 12120, Thailand
| | - Alisa Wilantho
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency, Pathum Thani, 12120, Thailand
| | - Ampika Thongphakdee
- Animal Conservation and Research Institute, The Zoological Park Organization of Thailand under the Royal Patronage of H.M. The King, Bangkok, 10300, Thailand
| | - Saowaphang Sanannu
- Animal Conservation and Research Institute, The Zoological Park Organization of Thailand under the Royal Patronage of H.M. The King, Bangkok, 10300, Thailand
| | - Chaianan Poksawat
- Animal Conservation and Research Institute, The Zoological Park Organization of Thailand under the Royal Patronage of H.M. The King, Bangkok, 10300, Thailand
| | - Tarasak Nipanunt
- Huai Kha Khaeng Wildlife Breeding Center, Department of National Parks, Wildlife and Plant Conservation, Uthai Thani, 61160, Thailand
| | - Chaiyan Kasorndorkbua
- Laboratory of Raptor Research and Conservation Medicine, Department of Pathology, Faculty of Veterinary Medicine, Kasetsart University, Bangkok, 10900, Thailand
| | - Klaus-Peter Koepfli
- Smithsonian-Mason School of Conservation, George Mason University, Front Royal, VA, 22630, USA
- Center for Species Survival, Smithsonian Conservation Biology Institute, National Zoological Park, Front Royal, VA, 22630, USA
| | - Budhan S Pukazhenthi
- Center for Species Survival, Smithsonian Conservation Biology Institute, National Zoological Park, Front Royal, VA, 22630, USA
| | - Prapat Suriyaphol
- Division of Medical Bioinformatics, Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Thidathip Wongsurawat
- Division of Medical Bioinformatics, Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Piroon Jenjaroenpun
- Division of Medical Bioinformatics, Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Gunnaporn Suriyaphol
- Biochemistry Unit, Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand.
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Värv S, Põlluäär T, Sild E, Viinalass H, Kaart T. Genetic Variation and Composition of Two Commercial Estonian Dairy Cattle Breeds Assessed by SNP Data. Animals (Basel) 2024; 14:1101. [PMID: 38612340 PMCID: PMC11010984 DOI: 10.3390/ani14071101] [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: 02/22/2024] [Revised: 03/29/2024] [Accepted: 04/02/2024] [Indexed: 04/14/2024] Open
Abstract
The aims of this study were to assess the genomic relatedness of Estonian and selected European dairy cattle breeds and to examine the within-breed diversity of two Estonian dairy breeds using genome-wide SNP data. This study was based on a genotyped heifer population of the Estonian Red (ER) and Estonian Holstein (EH) breeds, including about 10% of all female cattle born in 2017-2020 (sample sizes n = 215 and n = 2265, respectively). The within-breed variation study focused on the level of inbreeding using the ROH-based inbreeding coefficient. The genomic relatedness analyses were carried out among two Estonian and nine European breeds from the WIDDE database. Admixture analysis revealed the heterogeneity of ER cattle with a mixed pattern showing several ancestral populations containing a relatively low proportion (1.5-37.0%) of each of the reference populations used. There was a higher FROH in EH (FROH = 0.115) than in ER (FROH = 0.044). Compared to ER, the long ROHs of EH indicated more closely related parents. The paternal origin of the genetic material used in breeding had a low effect on the inbreeding level. However, among EH, the highest genomic inbreeding was estimated in daughters of USA-born sires.
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Affiliation(s)
- Sirje Värv
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Fr. R. Kreutzwaldi 1, 51006 Tartu, Estonia; (T.P.); (E.S.); (H.V.)
| | | | | | | | - Tanel Kaart
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Fr. R. Kreutzwaldi 1, 51006 Tartu, Estonia; (T.P.); (E.S.); (H.V.)
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Schmidt TL, Thia JA, Hoffmann AA. How Can Genomics Help or Hinder Wildlife Conservation? Annu Rev Anim Biosci 2024; 12:45-68. [PMID: 37788416 DOI: 10.1146/annurev-animal-021022-051810] [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] [Indexed: 10/05/2023]
Abstract
Genomic data are becoming increasingly affordable and easy to collect, and new tools for their analysis are appearing rapidly. Conservation biologists are interested in using this information to assist in management and planning but are typically limited financially and by the lack of genomic resources available for non-model taxa. It is therefore important to be aware of the pitfalls as well as the benefits of applying genomic approaches. Here, we highlight recent methods aimed at standardizing population assessments of genetic variation, inbreeding, and forms of genetic load and methods that help identify past and ongoing patterns of genetic interchange between populations, including those subjected to recent disturbance. We emphasize challenges in applying some of these methods and the need for adequate bioinformatic support. We also consider the promises and challenges of applying genomic approaches to understand adaptive changes in natural populations to predict their future adaptive capacity.
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Affiliation(s)
- Thomas L Schmidt
- School of BioSciences, Bio21 Institute, University of Melbourne, Parkville, Victoria, Australia;
| | - Joshua A Thia
- School of BioSciences, Bio21 Institute, University of Melbourne, Parkville, Victoria, Australia;
| | - Ary A Hoffmann
- School of BioSciences, Bio21 Institute, University of Melbourne, Parkville, Victoria, Australia;
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