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Tiwari M, Gujar G, Shashank CG, Ponsuksili S. Selection signatures for high altitude adaptation in livestock: A review. Gene 2024; 927:148757. [PMID: 38986751 DOI: 10.1016/j.gene.2024.148757] [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: 03/24/2024] [Revised: 07/01/2024] [Accepted: 07/05/2024] [Indexed: 07/12/2024]
Abstract
High altitude adapted livestock species (cattle, yak, goat, sheep, and horse) has critical role in the human socioeconomic sphere and acts as good source of animal source products including milk, meat, and leather, among other things. These species sustain production and reproduction even in harsh environments on account of adaptation resulting from continued evolution of beneficial traits. Selection pressure leads to various adaptive strategies in livestock whose footprints are evident at the different genomic sites as the "Selection Signature". Scrutiny of these signatures provides us crucial insight into the evolutionary process and domestication of livestock adapted to diverse climatic conditions. These signatures have the potential to change the sphere of animal breeding and further usher the selection programmes in right direction. Technological revolution and recent strides made in genomic studies has opened the routes for the identification of selection signatures. Numerous statistical approaches and bioinformatics tools have been developed to detect the selection signature. Consequently, studies across years have identified candidate genes under selection region found associated with numerous traits which have a say in adaptation to high-altitude environment. This makes it pertinent to have a better understanding about the selection signature, the ways to identify and how to utilize them for betterment of livestock populations as well as farmers. This review takes a closer look into the general concept, various methodologies, and bioinformatics tools commonly employed in selection signature studies and summarize the results of recent selection signature studies related to high-altitude adaptation in various livestock species. This review will serve as an informative and useful insight for researchers and students in the field of animal breeding and evolutionary biology.
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Affiliation(s)
- Manish Tiwari
- ICAR-National Dairy Research Institute, Karnal, India; U.P. Pt. Deen Dayal Upadhyaya Veterinary Science University and Cattle Research Institute, Mathura, India.
| | | | - C G Shashank
- ICAR-National Dairy Research Institute, Karnal, India
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Liu Y, Chen Y, Gao M, Luo J, Wang Y, Wang Y, Gao Y, Yang L, Wang J, Wang N. Association between glioma and neurodegenerative diseases risk: a two-sample bi-directional Mendelian randomization analysis. Front Neurol 2024; 15:1413015. [PMID: 39015316 PMCID: PMC11250058 DOI: 10.3389/fneur.2024.1413015] [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: 04/06/2024] [Accepted: 06/19/2024] [Indexed: 07/18/2024] Open
Abstract
Background Earlier observational studies have demonstrated a correlation between glioma and the risk of neurodegenerative diseases (NDs), but the causality and direction of their associations remain unclear. The objective of this study was to ascertain the causal link between glioma and NDs using Mendelian randomization (MR) methodology. Methods Genome-wide association study (GWAS) data were used in a two-sample bi-directional MR analysis. From the largest meta-analysis GWAS, encompassing 18,169 controls and 12,488 cases, summary statistics data on gliomas was extracted. Summarized statistics for NDs, including Alzheimer's disease (AD), multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS) and Parkinson's disease (PD) were obtained from the GWAS of European ancestry. Inverse variance weighted (IVW) method was elected as the core MR approach with weighted median (WM) method and MR-Egger method as complementary methods. In addition, sensitivity analyses were performed. A Bonferroni correction was used to correct the results. Results Genetically predicted glioma had been related to decreased risk of AD. Specifically, for all glioma (IVW: OR = 0.93, 95% CI = 0.90-0.96, p = 4.88 × 10-6) and glioblastoma (GBM) (IVW: OR = 0.93, 95% CI = 0.91-0.95, p = 5.11 × 10-9). We also found that genetically predicted all glioma has a suggestive causative association with MS (IVW: OR = 0.90, 95% CI = 0.81-1.00, p = 0.045). There was no evidence of causal association between glioma and ALS or PD. According to the results of reverse MR analysis, no discernible causal connection of NDs was found on glioma. Sensitivity analyses validated the robustness of the above associations. Conclusion We report evidence in support of potential causal associations of different glioma subtypes with AD and MS. More studies are required to uncover the underlying mechanisms of these findings.
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Affiliation(s)
- Yang Liu
- Department of Endocrinology, Affiliated Hospital of Jilin Medical University, Jilin, China
| | - Youqi Chen
- Bethune First Hospital of Jilin University, Changchun, China
| | - Ming Gao
- Bethune First Hospital of Jilin University, Changchun, China
| | - Jia Luo
- Bethune First Hospital of Jilin University, Changchun, China
| | - Yanan Wang
- Bethune First Hospital of Jilin University, Changchun, China
| | - Yihan Wang
- Bethune Third Hospital of Jilin University, Changchun, China
| | - Yu Gao
- Clinical College, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Laiyu Yang
- Bethune Third Hospital of Jilin University, Changchun, China
| | - Jingning Wang
- Bethune First Hospital of Jilin University, Changchun, China
| | - Ningxin Wang
- Bethune First Hospital of Jilin University, Changchun, China
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Pu Y, Pu S, Chen Y, Kong Q, Liu X, Zhao Q, Xu K, Liu J, Li M, Xu X, Qiao X, Su B, Chen J, Yang Z. Weakened tanning ability is an important mechanism for evolutionary skin lightening in East Asians. J Genet Genomics 2024; 51:703-713. [PMID: 38461943 DOI: 10.1016/j.jgg.2024.03.001] [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: 02/28/2024] [Revised: 03/03/2024] [Accepted: 03/03/2024] [Indexed: 03/12/2024]
Abstract
The evolution of light-skin pigmentation among Eurasians is considered as an adaptation to the high-latitude environments. East Asians are ideal populations for studying skin color evolution because of the complex environment of East Asia. Here, we report a strong selection signal for the pigmentation gene phenylalanine hydroxylase (PAH) in light-skinned Han Chinese individuals. The intron mutation rs10778203 in PAH is enriched in East Asians and is significantly associated with skin color of the back of the hand in Han Chinese males (P < 0.05). In vitro luciferase and transcription factor binding assays show that the ancestral allele of rs10778203 could bind to SMAD2 and has a significant enhancer activity for PAH. However, the derived T allele (the major allele in East Asians) of rs10778203 decreases the binding activity of transcription factors and enhancer activity. Meanwhile, the derived T allele of rs10778203 shows a weaker ultraviolet radiation response in A375 cells and zebrafish embryos. Furthermore, rs10778203 decreases melanin production in transgenic zebrafish embryos after ultraviolet B (UVB) treatment. Collectively, PAH is a potential pigmentation gene that regulates skin tanning ability. Natural selection has enriched the adaptive allele, resulting in weakened tanning ability in East Asians, suggesting a unique genetic mechanism for evolutionary skin lightening in East Asians.
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Affiliation(s)
- Youwei Pu
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Siyu Pu
- Department of Pediatric Surgery and Laboratory of Pediatric Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yanyan Chen
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Qinghong Kong
- Guizhou Provincial College-based Key Lab for Tumor Prevention and Treatment with Distinctive Medicines, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Xuyang Liu
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Qi Zhao
- Yunnan Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
| | - Ke Xu
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Jiuming Liu
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Mengyuan Li
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Xiaoyu Xu
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Xiaoyang Qiao
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Jing Chen
- Department of Pediatric Surgery and Laboratory of Pediatric Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
| | - Zhaohui Yang
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China.
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Liu Z, Tan X, Jin Q, Zhan W, Liu G, Cui X, Wang J, Meng X, Zhu R, Wang K. Multiomics analyses of Jining Grey goat and Boer goat reveal genomic regions associated with fatty acid and amino acid metabolism and muscle development. Anim Biosci 2024; 37:982-992. [PMID: 37946414 PMCID: PMC11065957 DOI: 10.5713/ab.23.0316] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/30/2023] [Accepted: 10/31/2023] [Indexed: 11/12/2023] Open
Abstract
OBJECTIVE Jining Grey goat is a local Chinese goat breed that is well known for its high fertility and excellent meat quality but shows low meat production performance. Numerous studies have focused on revealing the genetic mechanism of its high fertility, but its highlighting meat quality and muscle growth mechanism still need to be studied. METHODS In this research, an integrative analysis of the genomics and transcriptomics of Jining Grey goats compared with Boer goats was performed to identify candidate genes and pathways related to the mechanisms of meat quality and muscle development. RESULTS Our results overlap among five genes (ABHD2, FN1, PGM2L1, PRKAG3, RAVER2) and detected a set of candidate genes associated with fatty acid metabolism (PRKAG3, HADHB, FASN, ACADM), amino acid metabolism (KMT2C, PLOD3, NSD2, SETDB1, STT3B, MAN1A2, BCKDHB, NAT8L, P4HA3) and muscle development (MSTN, PPARGC1A, ANKRD2). Several pathways have also been detected, such as the FoxO signaling pathway and Apelin signaling pathway that play roles in lipid metabolism, lysine degradation, N-glycan biosynthesis, valine, leucine and isoleucine degradation that involving with amino acid metabolism. CONCLUSION The comparative genomic and transcriptomic analysis of Jining Grey goat and Boer goat revealed the mechanisms underlying the meat quality and meat productive performance of goats. These results provide valuable information for future breeding of goats.
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Affiliation(s)
- Zhaohua Liu
- Institute of Animal Science and Veterinary Medicine, Shandong Key Lab of Animal Disease Control and Breeding, Shandong Academy of Agricultural Sciences, Jinan 250100,
China
- Key Laboratory of Livestock and Poultry Multi-omics of MARA, Jinan 250100,
China
| | - Xiuwen Tan
- Institute of Animal Science and Veterinary Medicine, Shandong Key Lab of Animal Disease Control and Breeding, Shandong Academy of Agricultural Sciences, Jinan 250100,
China
- Key Laboratory of Livestock and Poultry Multi-omics of MARA, Jinan 250100,
China
| | - Qing Jin
- Institute of Animal Science and Veterinary Medicine, Shandong Key Lab of Animal Disease Control and Breeding, Shandong Academy of Agricultural Sciences, Jinan 250100,
China
| | - Wangtao Zhan
- Shandong Animal Husbandry General Station, Jinan 250100,
China
| | - Gang Liu
- Shandong Animal Husbandry General Station, Jinan 250100,
China
| | - Xukui Cui
- Institute of Animal Science and Veterinary Medicine, Shandong Key Lab of Animal Disease Control and Breeding, Shandong Academy of Agricultural Sciences, Jinan 250100,
China
- Key Laboratory of Livestock and Poultry Multi-omics of MARA, Jinan 250100,
China
| | - Jianying Wang
- Institute of Animal Science and Veterinary Medicine, Shandong Key Lab of Animal Disease Control and Breeding, Shandong Academy of Agricultural Sciences, Jinan 250100,
China
- Key Laboratory of Livestock and Poultry Multi-omics of MARA, Jinan 250100,
China
| | - Xianfeng Meng
- Institute of Animal Science and Veterinary Medicine, Shandong Key Lab of Animal Disease Control and Breeding, Shandong Academy of Agricultural Sciences, Jinan 250100,
China
- Key Laboratory of Livestock and Poultry Multi-omics of MARA, Jinan 250100,
China
| | - Rongsheng Zhu
- Institute of Animal Science and Veterinary Medicine, Shandong Key Lab of Animal Disease Control and Breeding, Shandong Academy of Agricultural Sciences, Jinan 250100,
China
- Key Laboratory of Livestock and Poultry Multi-omics of MARA, Jinan 250100,
China
| | - Ke Wang
- Institute of Animal Science and Veterinary Medicine, Shandong Key Lab of Animal Disease Control and Breeding, Shandong Academy of Agricultural Sciences, Jinan 250100,
China
- Key Laboratory of Livestock and Poultry Multi-omics of MARA, Jinan 250100,
China
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Park S, Shi A, Mou B. Low frequency of the wild-type freezing-tolerance LsCBF7 allele among lettuce population suggests a negative selection during domestication and breeding. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:135. [PMID: 38761248 DOI: 10.1007/s00122-024-04643-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 05/03/2024] [Indexed: 05/20/2024]
Abstract
KEY MESSAGE Sustainable winter production in lettuce requires freezing tolerant varieties. This study identified a wild-type allele of LsCBF7 that could contribute to freezing tolerance improvement in lettuce. Lettuce is one of the most consumed vegetables globally. While ideally grown in 13-21 °C, its cultivation extends into winter in milder climates. However, occasional freezing temperatures can significantly reduce yields. Therefore, the development of freezing-tolerant lettuce varieties has become a long-term goal of lettuce breeding programs. Despite its significance, our understanding of freezing tolerance in lettuce remains limited. Plants have evolved a coping mechanism against freezing, known as cold acclimation, whereby they can increase freezing tolerance when pre-exposed to low nonfreezing temperatures. The CBF pathway is well-known for its central role in cold acclimation. Previously, we identified 14 CBF genes in lettuce and discovered that one of them, LsCBF7, had a loss-of-function mutation. In this study, we uncovered that accessions from colder regions carried the wild-type allele of LsCBF7 and this allele likely contributed to increased freezing tolerance, with 14% of the lettuce population carrying this allele. Interestingly, in wild lettuce (L. serriola) that is considered a progenitor of cultivated lettuce, this wild-type allele was much more common, with a frequency of 90%. This finding suggests that this wild-type allele may have undergone negative selection during the domestication or breeding of lettuce. Our data strongly indicate that this allele could be linked to early bolting, an undesirable trait in lettuce, which may have driven the negative selection. While this wild-type allele shows promise for improving freezing tolerance in lettuce, it is crucial to decouple it from the early bolting trait to fully harness its potential in lettuce breeding.
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Affiliation(s)
- Sunchung Park
- U.S. Department of Agriculture, Agricultural Research Service, Beltsville, MD, 20705, USA.
| | - Ainong Shi
- Horticulture Dept, University of Arkansas, Fayetteville, AR, 72701, USA
| | - Beiquan Mou
- U.S. Department of Agriculture, Agricultural Research Service, Salinas, CA, 93905, USA
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Gao Y, Zhang X, Chen H, Lu Y, Ma S, Yang Y, Zhang M, Xu S. Reconstructing the ancestral gene pool to uncover the origins and genetic links of Hmong-Mien speakers. BMC Biol 2024; 22:59. [PMID: 38475771 PMCID: PMC10935854 DOI: 10.1186/s12915-024-01838-9] [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: 10/10/2023] [Accepted: 02/01/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Hmong-Mien (HM) speakers are linguistically related and live primarily in China, but little is known about their ancestral origins or the evolutionary mechanism shaping their genomic diversity. In particular, the lack of whole-genome sequencing data on the Yao population has prevented a full investigation of the origins and evolutionary history of HM speakers. As such, their origins are debatable. RESULTS Here, we made a deep sequencing effort of 80 Yao genomes, and our analysis together with 28 East Asian populations and 968 ancient Asian genomes suggested that there is a strong genetic basis for the formation of the HM language family. We estimated that the most recent common ancestor dates to 5800 years ago, while the genetic divergence between the HM and Tai-Kadai speakers was estimated to be 8200 years ago. We proposed that HM speakers originated from the Yangtze River Basin and spread with agricultural civilization. We identified highly differentiated variants between HM and Han Chinese, in particular, a deafness-related missense variant (rs72474224) in the GJB2 gene is in a higher frequency in HM speakers than in others. CONCLUSIONS Our results indicated complex gene flow and medically relevant variants involved in the HM speakers' evolution history.
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Affiliation(s)
- Yang Gao
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xiaoxi Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Hao Chen
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yan Lu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Sen Ma
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yajun Yang
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, China
| | - Menghan Zhang
- Institute of Modern Languages and Linguistics, and Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, 200433, China
| | - Shuhua Xu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, China.
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Aalbers SE, Weir BS. Sequence-based population structure, relatedness, and inbreeding estimates for forensic autosomal STR markers. Forensic Sci Int Genet 2024; 69:103009. [PMID: 38237274 DOI: 10.1016/j.fsigen.2024.103009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 12/11/2023] [Accepted: 01/11/2024] [Indexed: 01/29/2024]
Abstract
Population data have become available for sequence data to aid forensic investigations and prepare the forensic community in the move towards implementing NGS methods. This comes with a need for updated population genetic parameters estimates to allow DNA evidence evaluations using sequence data. Initial work has been done on a small sample and here we expand this work by providing estimates of population structure and relatedness for autosomal STR data generated by sequencing technologies. We also discuss the effect of inbreeding on forensic calculations and discuss why the use of genotypic-based estimates may be preferred over allelic-based estimates.
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Affiliation(s)
- Sanne E Aalbers
- Institute for Public Health Genetics, University of Washington, Seattle, WA, USA; Department of Biostatistics, University of Washington, Seattle, WA, USA.
| | - Bruce S Weir
- Institute for Public Health Genetics, University of Washington, Seattle, WA, USA; Department of Biostatistics, University of Washington, Seattle, WA, USA
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Park S, Zhang D, Ali GS. Assessing the genetic integrity of sugarcane germplasm in the USDA-ARS National Plant Germplasm System collection using single-dose SNP markers. FRONTIERS IN PLANT SCIENCE 2024; 14:1337736. [PMID: 38239228 PMCID: PMC10794611 DOI: 10.3389/fpls.2023.1337736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 12/15/2023] [Indexed: 01/22/2024]
Abstract
The World Collection of Sugarcane and Related Grasses, maintained at the USDA-ARS in Miami, FL, is one of the largest sugarcane germplasm repositories in the world. However, the genetic integrity of the Saccharum spp. germplasm in this collection has not been fully analyzed. In this study, we employed a single-dose SNP panel to genotype 901 sugarcane accessions, representing six Saccharum species and various hybrids. Our analysis uncovered a high rate of clone mislabeling in the collection. Specifically, we identified 86 groups of duplicates, characterized by identical SNP genotypes, which encompassed 211 accessions (23% of the total clones), while 135 groups, constituting 471 clones (52% of the total), exhibited near-identical genotypes. In addition, twenty-seven homonymous groups were detected, which shared the same clone name but differed in SNP genotypes. Hierarchical analysis of population structure partitioned the Saccharum germplasm into five clusters, corresponding to S. barberi, S. sinense, S. officinarum, S. spontaneum and S. robustum/S. edule. An assignment test, based on the five Saccharum species, enabled correcting 141 instances of mislabeled species memberships and inaccuracies. Moreover, we clarified the species membership and parentage of 298 clones that had ambiguous passport records (e.g., 'Saccharum spp', 'unknown', and 'hybrid'). Population structure and genetic diversity in these five species were further supported by Principal Coordinate Analysis and neighbor-joining clustering analysis. Analysis of Molecular Variance revealed that within-species genetic variations accounted for 85% of the total molecular variance, with the remaining 15% attributed to among-species genetic variations. The single-dose SNP markers developed in this study offer a robust tool for characterizing sugarcane germplasm worldwide. These findings have important implications for sugarcane genebank management, germplasm exchange, and crop genetic improvement.
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Affiliation(s)
- Sunchung Park
- Sustainable Perennial Crops Laboratory, United States Department of Agriculture, Agriculture Research Service, Beltsville, MD, United States
| | - Dapeng Zhang
- Sustainable Perennial Crops Laboratory, United States Department of Agriculture, Agriculture Research Service, Beltsville, MD, United States
| | - Gul Shad Ali
- Subtropical Horticulture Research Station, United States Department of Agriculture, Agriculture Research Service, Miami, FL, United States
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Berry DP, Spangler ML. Animal board invited review: Practical applications of genomic information in livestock. Animal 2023; 17:100996. [PMID: 37820404 DOI: 10.1016/j.animal.2023.100996] [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: 08/29/2023] [Revised: 09/08/2023] [Accepted: 09/11/2023] [Indexed: 10/13/2023] Open
Abstract
Access to high-dimensional genomic information in many livestock species is accelerating. This has been greatly aided not only by continual reductions in genotyping costs but also an expansion in the services available that leverage genomic information to create a greater return-on-investment. Genomic information on individual animals has many uses including (1) parentage verification and discovery, (2) traceability, (3) karyotyping, (4) sex determination, (5) reporting and monitoring of mutations conferring major effects or congenital defects, (6) better estimating inbreeding of individuals and coancestry among individuals, (7) mating advice, (8) determining breed composition, (9) enabling precision management, and (10) genomic evaluations; genomic evaluations exploit genome-wide genotype information to improve the accuracy of predicting an animal's (and by extension its progeny's) genetic merit. Genomic data also provide a huge resource for research, albeit the outcome from this research, if successful, should eventually be realised through one of the ten applications already mentioned. The process for generating a genotype all the way from sample procurement to identifying erroneous genotypes is described, as are the steps that should be considered when developing a bespoke genotyping panel for practical application.
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Affiliation(s)
- D P Berry
- Animal & Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Cork, Ireland.
| | - M L Spangler
- Department of Animal Science, University of Nebraska-Lincoln, Lincoln, NE, United States
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10
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Goudet J, Weir BS. An allele-sharing, moment-based estimator of global, population-specific and population-pair FST under a general model of population structure. PLoS Genet 2023; 19:e1010871. [PMID: 38011288 PMCID: PMC10703327 DOI: 10.1371/journal.pgen.1010871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 12/07/2023] [Accepted: 10/31/2023] [Indexed: 11/29/2023] Open
Abstract
Being able to properly quantify genetic differentiation is key to understanding the evolutionary potential of a species. One central parameter in this context is FST, the mean coancestry within populations relative to the mean coancestry between populations. Researchers have been estimating FST globally or between pairs of populations for a long time. More recently, it has been proposed to estimate population-specific FST values, and population-pair mean relative coancestry. Here, we review the several definitions and estimation methods of FST, and stress that they provide values relative to a reference population. We show the good statistical properties of an allele-sharing, method of moments based estimator of FST (global, population-specific and population-pair) under a very general model of population structure. We point to the limitation of existing likelihood and Bayesian estimators when the populations are not independent. Last, we show that recent attempts to estimate absolute, rather than relative, mean coancestry fail to do so.
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Affiliation(s)
- Jerome Goudet
- Dept Ecology & Evolution, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of BioInformatics, University of Lausanne, Lausanne, Switzerland
| | - Bruce S. Weir
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
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11
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Brusentsov II, Gordeev MI, Yurchenko AA, Karagodin DA, Moskaev AV, Hodge JM, Burlak VA, Artemov GN, Sibataev AK, Becker N, Sharakhov IV, Baricheva EM, Sharakhova MV. Patterns of genetic differentiation imply distinct phylogeographic history of the mosquito species Anopheles messeae and Anopheles daciae in Eurasia. Mol Ecol 2023; 32:5609-5625. [PMID: 37702976 DOI: 10.1111/mec.17127] [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: 11/01/2022] [Revised: 08/17/2023] [Accepted: 08/24/2023] [Indexed: 09/14/2023]
Abstract
Detailed knowledge of phylogeography is important for control of mosquito species involved in the transmission of human infectious diseases. Anopheles messeae is a geographically widespread and genetically diverse dominant vector of malaria in Eurasia. A closely related species, An. daciae, was originally distinguished from An. messeae based on five nucleotide substitutions in its ribosomal DNA (rDNA). However, the patterns of phylogeographic history of these species in Eurasia remain poorly understood. Here, using internal transcribed spacer 2 (ITS2) of rDNA and karyotyping for the species identification we determined the composition of five Anopheles species in 28 locations in Eurasia. Based on the frequencies of 11 polymorphic chromosomal inversions used as genetic markers, a large-scale population genetics analysis was performed of 1932 mosquitoes identified as An. messeae, An. daciae and their hybrids. The largest genetic differences between the species were detected in the X sex chromosome suggesting a potential involvement of this chromosome in speciation. The frequencies of autosomal inversions in the same locations differed by 13%-45% between the species demonstrating a restricted gene flow between the species. Overall, An. messeae was identified as a diverse species with a more complex population structure than An. daciae. The clinal gradients in frequencies of chromosomal inversions were determined in both species implicating their possible involvement in climate adaptations. The frequencies of hybrids were low ~1% in northern Europe but high up to 50% in south-eastern populations. Thus, our study revealed critical differences in patterns of phylogeographic history between An. messeae and An. daciae in Eurasia. This knowledge will help to predict the potential of the malaria transmission in the northern territories of the continent.
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Affiliation(s)
- Ilya I Brusentsov
- Department of Entomology, Virginia Polytechnic Institute and State University and Fralin Life Sciences Institute, Blacksburg, Virginia, USA
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia
| | | | - Andrey A Yurchenko
- Department of Entomology, Virginia Polytechnic Institute and State University and Fralin Life Sciences Institute, Blacksburg, Virginia, USA
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Dimitriy A Karagodin
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia
| | | | - James M Hodge
- Department of Entomology, Virginia Polytechnic Institute and State University and Fralin Life Sciences Institute, Blacksburg, Virginia, USA
| | - Vladimir A Burlak
- Laboratory of Ecology, Genetics, and Environmental Protection, Tomsk State University, Tomsk, Russia
| | - Gleb N Artemov
- Laboratory of Ecology, Genetics, and Environmental Protection, Tomsk State University, Tomsk, Russia
| | - Anuarbek K Sibataev
- Department of General Biology and Genomics, L.N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan
- Department of Agricultural Biology, Tomsk State University, Tomsk, Russia
| | - Norbert Becker
- Center for Organismal Studies, University of Heidelberg, Heidelberg, Germany
- German Mosquito Control Association, Speyer, Germany
| | - Igor V Sharakhov
- Department of Entomology, Virginia Polytechnic Institute and State University and Fralin Life Sciences Institute, Blacksburg, Virginia, USA
- Laboratory of Ecology, Genetics, and Environmental Protection, Tomsk State University, Tomsk, Russia
| | - Elina M Baricheva
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Maria V Sharakhova
- Department of Entomology, Virginia Polytechnic Institute and State University and Fralin Life Sciences Institute, Blacksburg, Virginia, USA
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia
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12
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Veneza I, da Silva R, Ferreira C, Mendonça P, Sampaio I, Evangelista-Gomes G. Genetic connectivity and population expansion inferred from multilocus analysis in Lutjanus alexandrei (Lutjanidae-Perciformes), an endemic snapper from Northeastern Brazilian coast. PeerJ 2023; 11:e15973. [PMID: 37780387 PMCID: PMC10540771 DOI: 10.7717/peerj.15973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 08/06/2023] [Indexed: 10/03/2023] Open
Abstract
Previous studies about the genetic diversity, connectivity and demographic history in Lutjanidae fishes have reported a common pattern of genetic homogeneity and expansion in populations from Western South Atlantic. In the present work, we inferred the population structure, the levels of genetic diversity and the demographic history of the Brazilian snapper Lutjanus alexandrei, a recently described and endemic species from Northeastern coast of Brazil. Five different fragments, including mitochondrial DNA (Control Region, Cyt b and ND4) and nuclear DNA (Myostatin and S7) regions were analyzed in 120 specimens of L. alexandrei from four localities in Northeastern Brazil, representing the first study of population genetics in this species. High levels of genetic diversity were observed following a panmictic pattern, probably related to the larval dispersal by the current tides along the Brazilian coast. In addition, both demographic history and neutrality tests indicated that L. alexandrei has undergone population expansion during Pleistocene. In this sense, the sea level variation from this period could have increased the available resources and suitable habitats for the Brazilian snapper.
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Affiliation(s)
- Ivana Veneza
- Campus Universitário de Monte Alegre, Universidade Federal do Oeste do Pará, Monte Alegre, Pará, Brazil
| | - Raimundo da Silva
- Instituto de Estudos Costeiros/Laboratório de Genética Aplicada, Universidade Federal do Pará, Bragança, Pará, Brazil
| | - Charles Ferreira
- Instituto de Estudos Costeiros/Laboratório de Genética Aplicada, Universidade Federal do Pará, Bragança, Pará, Brazil
| | - Patrícia Mendonça
- Instituto de Estudos Costeiros/Grupo de Genética e Conservação, Universidade Federal do Pará, Bragança, Pará, Brazil
| | - Iracilda Sampaio
- Instituto de Estudos Costeiros/Laboratório de Genética e Biologia Molecular, Universidade Federal do Pará, Bragança, Pará, Brazil
| | - Grazielle Evangelista-Gomes
- Instituto de Estudos Costeiros/Laboratório de Genética Aplicada, Universidade Federal do Pará, Bragança, Pará, Brazil
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13
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Keller AG, Dahlhoff EP, Bracewell R, Chatla K, Bachtrog D, Rank NE, Williams CM. Multi-locus genomic signatures of local adaptation to snow across the landscape in California populations of a willow leaf beetle. Proc Biol Sci 2023; 290:20230630. [PMID: 37583321 PMCID: PMC10427825 DOI: 10.1098/rspb.2023.0630] [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: 03/16/2023] [Accepted: 07/14/2023] [Indexed: 08/17/2023] Open
Abstract
Organisms living in mountains contend with extreme climatic conditions, including short growing seasons and long winters with extensive snow cover. Anthropogenic climate change is driving unprecedented, rapid warming of montane regions across the globe, resulting in reduced winter snowpack. Loss of snow as a thermal buffer may have serious consequences for animals overwintering in soil, yet little is known about how variability in snowpack acts as a selective agent in montane ecosystems. Here, we examine genomic variation in California populations of the leaf beetle Chrysomela aeneicollis, an emerging natural model system for understanding how organisms respond to climate change. We used a genotype-environment association approach to identify genomic signatures of local adaptation to microclimate in populations from three montane regions with variable snowpack and a coastal region with no snow. We found that both winter-associated environmental variation and geographical distance contribute to overall genomic variation across the landscape. We identified non-synonymous variation in novel candidate loci associated with cytoskeletal function, ion transport and membrane stability, cellular processes associated with cold tolerance in other insects. These findings provide intriguing evidence that variation in snowpack imposes selective gradients in montane ecosystems.
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Affiliation(s)
- Abigail G. Keller
- Department of Integrative Biology, University of California, Berkeley, CA, USA
| | | | - Ryan Bracewell
- Department of Biology, Indiana University Bloomington, Bloomington, IN, USA
| | - Kamalakar Chatla
- Department of Integrative Biology, University of California, Berkeley, CA, USA
| | - Doris Bachtrog
- Department of Integrative Biology, University of California, Berkeley, CA, USA
| | - Nathan E. Rank
- Department of Biology, Sonoma State University, Rohnert Park, CA, USA
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14
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Uttrani S, Aggarwal P, Dutt V. Does subnetting and port hardening influence human adversarial decisions? An investigation via a HackIT tool. Front Big Data 2023; 6:988007. [PMID: 37397621 PMCID: PMC10310473 DOI: 10.3389/fdata.2023.988007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 05/30/2023] [Indexed: 07/04/2023] Open
Abstract
Prior research in cyber deception has investigated the effectiveness of the timing of deception on human decisions using simulation tools. However, there exists a gap in the literature on how the availability of subnets and port-hardening influence human decisions to attack a system. We tested the influence of subnets and port-hardening on human attack decisions in a simulated environment using the HackIT tool. Availability of subnets (present/absent) within a network and port-hardening (easy-to-attack/hard-to-attack) were varied across four between-subject conditions (N = 30 in each condition): with-subnet with easy-to-attack, with-subnet with hard-to-attack, without-subnet with easy-to-attack, and without-subnet with hard-to-attack. In with-subnet conditions, 40 systems were connected in a hybrid topology network with ten subnets connected linearly, and each subnet contained four connected systems. In without-subnet conditions, all 40 systems were connected in a bus topology. In hard-to-attack (easy-to-attack) conditions, the probabilities of successfully attacking real systems and honeypots were kept low (high) and high (low), respectively. In an experiment, human participants were randomly assigned to one of the four conditions to attack as many real systems as possible and steal credit card information. Results revealed a significant decrease in the proportion of real system attacks in the availability of subnetting and port hardening within the network. Also, more honeypots were attacked in with-subnet conditions than without-subnet conditions. Moreover, a significantly lower proportion of real systems were attacked in the port-hardened condition. This research highlights the implications of subnetting and port-hardening with honeypots to reduce real system attacks. These findings are relevant in developing advanced intrusion detection systems trained on hackers' behavior.
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Affiliation(s)
- Shashank Uttrani
- Applied Cognitive Science Lab, Indian Institute of Technology, Mandi, India
| | - Palvi Aggarwal
- Department of Computer Science, University of Texas El Paso, El Paso, TX, United States
| | - Varun Dutt
- Applied Cognitive Science Lab, Indian Institute of Technology, Mandi, India
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15
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Zhao X, Zhang J, Lin W. Clustering multivariate count data via Dirichlet-multinomial network fusion. Comput Stat Data Anal 2023. [DOI: 10.1016/j.csda.2022.107634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
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16
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Mary-Huard T, Balding D. Fast and accurate joint inference of coancestry parameters for populations and/or individuals. PLoS Genet 2023; 19:e1010054. [PMID: 36656906 PMCID: PMC9888729 DOI: 10.1371/journal.pgen.1010054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 01/31/2023] [Accepted: 12/01/2022] [Indexed: 01/20/2023] Open
Abstract
We introduce a fast, new algorithm for inferring from allele count data the FST parameters describing genetic distances among a set of populations and/or unrelated diploid individuals, and a tree with branch lengths corresponding to FST values. The tree can reflect historical processes of splitting and divergence, but seeks to represent the actual genetic variance as accurately as possible with a tree structure. We generalise two major approaches to defining FST, via correlations and mismatch probabilities of sampled allele pairs, which measure shared and non-shared components of genetic variance. A diploid individual can be treated as a population of two gametes, which allows inference of coancestry coefficients for individuals as well as for populations, or a combination of the two. A simulation study illustrates that our fast method-of-moments estimation of FST values, simultaneously for multiple populations/individuals, gains statistical efficiency over pairwise approaches when the population structure is close to tree-like. We apply our approach to genome-wide genotypes from the 26 worldwide human populations of the 1000 Genomes Project. We first analyse at the population level, then a subset of individuals and in a final analysis we pool individuals from the more homogeneous populations. This flexible analysis approach gives advantages over traditional approaches to population structure/coancestry, including visual and quantitative assessments of long-standing questions about the relative magnitudes of within- and between-population genetic differences.
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Affiliation(s)
- Tristan Mary-Huard
- MIA-Paris, INRAE, AgroParisTech, Université Paris-Saclay, Palaiseau, France
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, Génétique Quantitative et Evolution—Le Moulon, Gif-sur-Yvette, France
- * E-mail:
| | - David Balding
- Melbourne Integrative Genomics, School of BioSciences and School of Mathematics & Statistics, University of Melbourne, Parkville, Victoria, Australia
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17
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Negawo AT, Akinmade HO, Muktar MS, Habte E, Assefa Y, Muchugi A, Sartie AM, Jones CS. Genetic Diversity, Population Structure and Subset Development in a Sesbania sesban Collection. PLANTS (BASEL, SWITZERLAND) 2022; 12:13. [PMID: 36616142 PMCID: PMC9823922 DOI: 10.3390/plants12010013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 11/30/2022] [Accepted: 12/02/2022] [Indexed: 06/17/2023]
Abstract
Sesbania sesban (L.) Merr. is a multipurpose legume tree grown primarily for fodder and forage in the tropical and subtropical world. In this study, the Sesbania sesban collection maintained in the International Livestock Research Institute (ILRI) forage Genebank was studied using genome-wide markers generated on the DArTseq platform. Genotyping produced 84,673 and 60,626 SNP and SilicoDArT markers with a mean polymorphic information content of 0.153 and 0.123, respectively. From the generated markers, 7587 and 15,031 highly informative SNP and SilicoDArT markers, respectively, were filtered and used for genetic diversity analysis and subset development. Analysis of molecular variance (AMOVA) revealed higher variability 'within' (52.73% for SNP markers and 67.36% for SilicoDArT markers) than 'between' accessions. Hierarchical cluster analysis showed the presence of four main clusters in the collection. Mantel correlation analysis showed a lack of relationship between genetic variation of the germplasm and their geographical origin. A representative subset of 34 accessions containing germplasm from diverse origins and agro-ecologies was developed using SNP markers. The genetic diversity information generated in this study could be used for marker-assisted screening for stress tolerance, gap analysis and identification and acquisition of new distinct genotype(s) to broaden the genetic basis of the collection for future improvement programs to develop high-yielding, stress-tolerant varieties for enhancing food and environmental security in crop-livestock-based production systems.
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Affiliation(s)
- Alemayehu Teressa Negawo
- Feed and Forage Development, International Livestock Research Institute, Addis Ababa P.O. Box 5689, Ethiopia
| | - Habib Olumide Akinmade
- Feed and Forage Development, International Livestock Research Institute, Addis Ababa P.O. Box 5689, Ethiopia
- Forage Breeding and Genetics, Agronomy Department, University of Florida, Gainesville, FL 32611, USA
| | - Meki S. Muktar
- Feed and Forage Development, International Livestock Research Institute, Addis Ababa P.O. Box 5689, Ethiopia
| | - Ermias Habte
- Feed and Forage Development, International Livestock Research Institute, Addis Ababa P.O. Box 5689, Ethiopia
| | - Yilikal Assefa
- Feed and Forage Development, International Livestock Research Institute, Addis Ababa P.O. Box 5689, Ethiopia
| | - Alice Muchugi
- Feed and Forage Development, International Livestock Research Institute, Addis Ababa P.O. Box 5689, Ethiopia
| | - Alieu M. Sartie
- Feed and Forage Development, International Livestock Research Institute, Addis Ababa P.O. Box 5689, Ethiopia
- The Pacific Community (SPC), Private Mail Bag, Suva, Fiji
| | - Chris S. Jones
- Feed and Forage Development, International Livestock Research Institute, Addis Ababa P.O. Box 5689, Ethiopia
- Feed and Forage Development, International Livestock Research Institute, Nairobi 00100, Kenya
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18
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Avalos A, Bilodeau L. Russian honey bee genotype identification through enhanced marker panel set. FRONTIERS IN INSECT SCIENCE 2022; 2:998310. [PMID: 38468798 PMCID: PMC10926385 DOI: 10.3389/finsc.2022.998310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 10/14/2022] [Indexed: 03/13/2024]
Abstract
Russian honey bees (RHB) are a breeding population developed by USDA-ARS as an effort to provide Varroa-resistant honey bees to beekeepers. The selection strategy for this breeding population was the first in honey bees to incorporate genetic stock identification (GSI). The original GSI approach has been in use for over a decade, and though effective, novel technologies and analytical approaches recently developed provide an opportunity for improvement. Here we outline a novel genotyping assay that capitalizes on the markers used in the GSI as well as new loci recently identified in a whole genome pooled study of commercial honey bee stocks. Our approach utilizes a microfluidic platform and machine learning analyses to arrive at an accurate, high throughput assay. This novel approach provides an improved tool that can be readily incorporated into breeding decisions towards healthier more productive bees.
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Affiliation(s)
- Arian Avalos
- Honey Bee Breeding, Genetics, and Physiology Research Laboratory, USDA-ARS, Baton Rouge, LA, United States
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19
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Maestro A, Del Coso J, Aguilar-Navarro M, Gutiérrez-Hellín J, Morencos E, Revuelta G, Ruiz Casares E, Perucho T, Varillas-Delgado D. Genetic profile in genes associated with muscle injuries and injury etiology in professional soccer players. Front Genet 2022; 13:1035899. [DOI: 10.3389/fgene.2022.1035899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 10/31/2022] [Indexed: 11/17/2022] Open
Abstract
Many causes define injuries in professional soccer players. In recent years, the study of genetics in association with injuries has been of great interest. The purpose of this study was to examine the relationship between muscle injury-related genes, injury risk and injury etiology in professional soccer players. In a cross-sectional cohort study, one hundred and twenty-two male professional football players were recruited. AMPD1 (rs17602729), ACE (rs4646994), ACTN3 (rs1815739), CKM (rs8111989) and MLCK (rs2849757 and rs2700352) polymorphisms were genotyped by using Single Nucleotide Primer Extension (SNPE). The combined influence of the six polymorphisms studied was calculated using a total genotype score (TGS). A genotype score (GS) of 2 was assigned to the “protective” genotype for injuries, a GS of 1 was assigned to the heterozygous genotype while a GS of 0 was assigned to the “worst” genotype. Injury characteristics and etiology during the 2021/2022 season were classified following a Consensus Statement for injuries recording. The distribution of allelic frequencies in the AMPD1 and MLCK c.37885C>A polymorphisms were different between non-injured and injured soccer players (p < 0.001 and p = 0.003, respectively). The mean total genotype score (TGS) in non-injured soccer players (57.18 ± 14.43 arbitrary units [a.u.]) was different from that of injured soccer players (51.71 ± 12.82 a.u., p = 0.034). There was a TGS cut-off point (45.83 a.u.) to discriminate non-injured from injured soccer players. Players with a TGS beyond this cut-off had an odds ratio of 1.91 (95%CI: 1.14–2.91; p = 0.022) to suffer an injury when compared with players with lower TGS. In conclusion, TGS analysis in muscle injury-related genes presented a relationship with professional soccer players at increased risk of injury. Future studies will help to develop this TGS as a potential tool to predict injury risk and perform prevention methodology in this cohort of football players.
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20
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Abstract
Strong ultraviolet (UV) radiation at high altitude imposes a serious selective pressure, which may induce skin pigmentation adaptation of indigenous populations. We conducted skin pigmentation phenotyping and genome-wide analysis of Tibetans in order to understand the underlying mechanism of adaptation to UV radiation. We observe that Tibetans have darker baseline skin color compared with lowland Han Chinese, as well as an improved tanning ability, suggesting a two-level adaptation to boost their melanin production. A genome-wide search for the responsible genes identifies GNPAT showing strong signals of positive selection in Tibetans. An enhancer mutation (rs75356281) located in GNPAT intron 2 is enriched in Tibetans (58%) but rare in other world populations (0 to 18%). The adaptive allele of rs75356281 is associated with darker skin in Tibetans and, under UVB treatment, it displays higher enhancer activities compared with the wild-type allele in in vitro luciferase assays. Transcriptome analyses of gene-edited cells clearly show that with UVB treatment, the adaptive variant of GNPAT promotes melanin synthesis, likely through the interactions of CAT and ACAA1 in peroxisomes with other pigmentation genes, and they act synergistically, leading to an improved tanning ability in Tibetans for UV protection.
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21
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Yoder JB, Dang A, MacGregor C, Plaza M. Plant‐associate interactions and diversification across trophic levels. Evol Lett 2022; 6:375-389. [PMID: 36254257 PMCID: PMC9554764 DOI: 10.1002/evl3.296] [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: 08/16/2021] [Accepted: 08/27/2022] [Indexed: 11/11/2022] Open
Abstract
Interactions between species are widely understood to have promoted the diversification of life on Earth, but how interactions spur the formation of new species remains unclear. Interacting species often become locally adapted to each other, but they may also be subject to shared dispersal limitations and environmental conditions. Moreover, theory predicts that different kinds of interactions have different effects on diversification. To better understand how species interactions promote diversification, we compiled population genetic studies of host plants and intimately associated herbivores, parasites, and mutualists. We used Bayesian multiple regressions and the BEDASSLE modeling framework to test whether host and associate population structures were correlated over and above the potentially confounding effects of geography and shared environmental variation. We found that associates' population structure often paralleled their hosts' population structure, and that this effect is robust to accounting for geographic distance and climate. Associate genetic structure was significantly explained by plant genetic structure somewhat more often in antagonistic interactions than in mutualistic ones. This aligns with a key prediction of coevolutionary theory that antagonistic interactions promote diversity through local adaptation of antagonists to hosts, while mutualistic interactions more often promote diversity via the effect of hosts' geographic distribution on mutualists' dispersal.
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Affiliation(s)
- Jeremy B. Yoder
- Department of Biology California State University Northridge Northridge CA 91330 USA
| | - Albert Dang
- Department of Biology California State University Northridge Northridge CA 91330 USA
| | - Caitlin MacGregor
- Department of Biology California State University Northridge Northridge CA 91330 USA
| | - Mikhail Plaza
- Program in Plant Biology and Conservation Northwestern University Evanston IL 60208 USA
- Negaunee Institute for Plant Conservation Science and Action Chicago Botanic Garden Glencoe IL 60035 USA
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22
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Lei Y, Yang L, Duan S, Ning S, Li D, Wang Z, Xiang G, Yang L, Wang C, Zhang S, Zhang S, Ye S, Kui L, Singh P, Sheng J, Dong Y. Whole-genome resequencing reveals the origin of tea in Lincang. FRONTIERS IN PLANT SCIENCE 2022; 13:984422. [PMID: 36186029 PMCID: PMC9520660 DOI: 10.3389/fpls.2022.984422] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 08/22/2022] [Indexed: 06/16/2023]
Abstract
Phylogeographic, population genetics and diversity analysis are crucial for local tea resource conservation and breeding programs. Lincang in Yunnan has been known as the possible place of domestication for tea worldwide, yet, its genetic makeup and unique Lincang origin are little understood. Here, we reported a large-scale whole-genome resequencing based population genomic analysis in eight main tea-producing areas of Lincang in Yunnan (1,350 accessions), and the first comprehensive map of tea genome variation in Lincang was constructed. Based on the population structure, tea sample in Lincang was divided into three subgroups, and inferred Xigui and Nahan Tea Mountain in Linxiang, Baiying Mountain Ancient Tea Garden in Yun, and Jinxiu Village of Xiaowan Town in Fengqing, which belong to the birthplace of the three subgroups, were all likely to be the origin center of Lincang tea. Meanwhile, the history population sizes analysis show that similar evolutionary patterns were observed for the three subgroups of Lincang. It also was observed that the hybrid among eight areas of Lincang was noticeable, resulting in insignificant genetic differentiation between geographical populations and low genetic diversity. The findings of this study clarified the genetic make-up and evolutionary traits of the local population of tea, which gave some insight into the development of Lincang tea.
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Affiliation(s)
- Yahui Lei
- College of Food Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Ling Yang
- College of Food Science and Technology, Yunnan Agricultural University, Kunming, China
| | | | - Siqi Ning
- Experimental Middle School of Yunnan Normal University, Kunming, China
| | - Dawei Li
- Yunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China
| | - Zijun Wang
- Yunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China
| | - Guisheng Xiang
- Yunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China
| | - Ling Yang
- Yunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China
| | - Chunping Wang
- Yunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China
| | - Shiyu Zhang
- Yunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China
| | - Shuangyan Zhang
- Yunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China
| | - Shuang Ye
- Yunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China
| | - Ling Kui
- Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Pratiksha Singh
- State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Academy of Sciences, Nanning, Guangxi, China
| | - Jun Sheng
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Yunnan Research Institute for Local Plateau Agriculture and Industry, Kunming, China
| | - Yang Dong
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Yunnan Research Institute for Local Plateau Agriculture and Industry, Kunming, China
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23
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Aardema ML, Campana MG, Wagner NE, Ferreira FC, Fonseca DM. A gene-based capture assay for surveying patterns of genetic diversity and insecticide resistance in a worldwide group of invasive mosquitoes. PLoS Negl Trop Dis 2022; 16:e0010689. [PMID: 35939523 PMCID: PMC9387926 DOI: 10.1371/journal.pntd.0010689] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 08/18/2022] [Accepted: 07/20/2022] [Indexed: 12/30/2022] Open
Abstract
Understanding patterns of diversification, genetic exchange, and pesticide resistance in arthropod disease vectors is necessary for effective population management. With the availability of next-generation sequencing technologies, one of the best approaches for surveying such patterns involves the simultaneous genotyping of many samples for a large number of genetic markers. To this end, the targeting of gene sequences of known function can be a cost-effective strategy. One insect group of substantial health concern are the mosquito taxa that make up the Culex pipiens complex. Members of this complex transmit damaging arboviruses and filariae worms to humans, as well as other pathogens such as avian malaria parasites that are detrimental to birds. Here we describe the development of a targeted, gene-based assay for surveying genetic diversity and population structure in this mosquito complex. To test the utility of this assay, we sequenced samples from several members of the complex, as well as from distinct populations of the relatively under-studied Culex quinquefasciatus. The data generated was then used to examine taxonomic divergence and population clustering between and within these mosquitoes. We also used this data to investigate genetic variants present in our samples that had previously been shown to correlate with insecticide-resistance. Broadly, our gene capture approach successfully enriched the genomic regions of interest, and proved effective for facilitating examinations of taxonomic divergence and geographic clustering within the Cx. pipiens complex. It also allowed us to successfully survey genetic variation associated with insecticide resistance in Culex mosquitoes. This enrichment protocol will be useful for future studies that aim to understand the genetic mechanisms underlying the evolution of these ubiquitous and increasingly damaging disease vectors. The mosquito taxa that make up the Culex pipiens complex are important vectors of the agents of several human diseases such as West Nile and St. Louis encephalitides, and lymphatic filariasis. They are also important vectors of avian malaria, which impacts livestock and wildlife. The development of effective strategies for the control of these mosquitoes requires knowledge of their origins, distribution, dispersal patterns, and the extent to which discreet taxonomic entities within the complex interbreed. To achieve these objectives, it is necessary to compare patterns of genetic diversity across many mosquito samples, which can be cost-prohibitive. To address this limitation, we developed a targeted, gene-based assay that allowed us to cost-effectively genotype a large number of genetic variants from a representative global sampling of individual Cx. pipiens complex mosquitoes. We show that this assay is a powerful tool for examining genetic structure and hybridization among populations. We also explore its utility for surveying alleles previously shown to be associated with insecticide resistance. Future use of this enrichment assay and the bioinformatics methods described here will allow researchers to study evolutionary patterns across the Cx. pipiens complex as well as monitor the presence of genetic variation that could affect control efforts.
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Affiliation(s)
- Matthew L. Aardema
- Department of Biology, Montclair State University, Montclair, New Jersey, United States of America
- Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, New York, United States of America
- * E-mail: (MLA); (DMF)
| | - Michael G. Campana
- Center for Conservation Genomics, Smithsonian’s National Zoo and Conservation Biology Institute, Washington, DC, United States of America
| | - Nicole E. Wagner
- Center for Vector Biology, Rutgers University, New Brunswick, New Jersey, United States of America
| | - Francisco C. Ferreira
- Center for Conservation Genomics, Smithsonian’s National Zoo and Conservation Biology Institute, Washington, DC, United States of America
- Center for Vector Biology, Rutgers University, New Brunswick, New Jersey, United States of America
| | - Dina M. Fonseca
- Center for Vector Biology, Rutgers University, New Brunswick, New Jersey, United States of America
- * E-mail: (MLA); (DMF)
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Abstract
The ways in which genetic variation is distributed within and among populations is a key determinant of the evolutionary features of a species. However, most comprehensive studies of these features have been restricted to studies of subdivision in settings known to have been driven by local adaptation, leaving our understanding of the natural dispersion of allelic variation less than ideal. Here, we present a geographic population-genomic analysis of 10 populations of the freshwater microcrustacean Daphnia pulex, an emerging model system in evolutionary genomics. These populations exhibit a pattern of moderate isolation-by-distance, with an average migration rate of 0.6 individuals per generation, and average effective population sizes of ∼650,000 individuals. Most populations contain numerous private alleles, and genomic scans highlight the presence of islands of excessively high population subdivision for more common alleles. A large fraction of such islands of population divergence likely reflect historical neutral changes, including rare stochastic migration and hybridization events. The data do point to local adaptive divergence, although the precise nature of the relevant variation is diffuse and cannot be associated with particular loci, despite the very large sample sizes involved in this study. In contrast, an analysis of between-species divergence highlights positive selection operating on a large set of genes with functions nearly nonoverlapping with those involved in local adaptation, in particular ribosome structure, mitochondrial bioenergetics, light reception and response, detoxification, and gene regulation. These results set the stage for using D. pulex as a model for understanding the relationship between molecular and cellular evolution in the context of natural environments.
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Affiliation(s)
- Takahiro Maruki
- Biodesign Center for Mechanisms of Evolution, Arizona State Univ., Tempe, AZ 85287USA
| | - Zhiqiang Ye
- Biodesign Center for Mechanisms of Evolution, Arizona State Univ., Tempe, AZ 85287USA
| | - Michael Lynch
- Biodesign Center for Mechanisms of Evolution, Arizona State Univ., Tempe, AZ 85287USA
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Fan X, Wang C, Bunker DE. Population Structure of German Cockroaches (Blattodea: Ectobiidae) in an Urban Environment Based on Single Nucleotide Polymorphisms. JOURNAL OF MEDICAL ENTOMOLOGY 2022; 59:1319-1327. [PMID: 35462399 DOI: 10.1093/jme/tjac036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Indexed: 06/14/2023]
Abstract
German cockroaches (Blattella germanica L.) harbor and disperse medically important pathogens and are a source of allergens that impact human health and wellbeing. Management of this pest requires an understanding of their distribution and dispersal. In this study, we collected German cockroaches from three apartment buildings in New Jersey, USA. We identified single-nucleotide polymorphisms (SNPs) from DNA extractions using next generation sequencing. We analyzed the SNPs and characterized cockroach population genetic structure using Fst, principal component, phylogenetic, and STRUCTURE analyses. We found significant differences in German cockroach population structure among the buildings. Within buildings, we found variable population structure that may be evidence for multiple colonization events. This study shows that SNPs derived from next generation sequencing provide a powerful tool for analyzing the genetic population structure of these medically important pests.
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Affiliation(s)
- X Fan
- Department of Biological Sciences, New Jersey Institute of Technology, Newark, NJ, 07102, USA
| | - C Wang
- Department of Entomology, Rutgers, The State University of New Jersey, 96 Lipman Drive, New Brunswick, NJ, 08901, USA
| | - D E Bunker
- Department of Biological Sciences, New Jersey Institute of Technology, Newark, NJ, 07102, USA
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Maltese Allelic Variants in Corneal Dystrophy Genes in a Worldwide Setting. Mol Diagn Ther 2022; 26:529-540. [PMID: 35799042 DOI: 10.1007/s40291-022-00602-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/06/2022] [Indexed: 10/17/2022]
Abstract
INTRODUCTION This study aimed to establish which worldwide population cohorts have a genetic make-up closest to that of a large sample of the Maltese population with regard to corneal dystrophy (CD) genes. METHODS Single nucleotide polymorphisms (SNPs) in the Maltese cohort were compared with worldwide cohorts. Fixation index (FST) values were calculated to evaluate population differentiation. The genetic prevalence of CD subtypes in worldwide and Maltese cohorts were calculated, and single nucleotide missense mutations present in the Maltese cohort were evaluated for potential pathogenicity. RESULTS FST values showed that CD-related genes differ substantially among the studied cohorts. FST values for each SNP showed greatest differentiation between the Maltese and African cohorts and least differentiation with the Puerto Rican, Mexican, and Colombian cohorts. One TGFBI casual CD mutation, 502V, which causes a Bowman's layer CD/atypical Thiel-Behnke CD was identified in the Maltese cohort. The KRT3 NC_000012.11:g.53186088G>C mutation was potentially deleterious. CONCLUSION Identifying populations with least genetic differentiation can facilitate and help guide future diagnostic and treatment strategies for Maltese individuals with CDs in the absence of comparable Maltese data. Analysing the previously unknown CD genetic pool present in a large Maltese cohort adds to the global genetic bank that researchers rely on for medical progress.
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Gu J, Zhao H, Guo X, Sun H, Xu J, Wei Y. A high‐performance SNP panel developed by machine‐learning approaches for characterizing genetic differences of Southern and Northern Han Chinese, Korean, and Japanese individuals. Electrophoresis 2022; 43:1183-1192. [DOI: 10.1002/elps.202100184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 11/21/2021] [Accepted: 01/12/2022] [Indexed: 11/09/2022]
Affiliation(s)
- Jia‐Qi Gu
- Jiangsu Key Laboratory of Phylogenomics and Comparative Genomics School of Life Sciences Jiangsu Normal University Xuzhou Jiangsu P. R. China
| | - Hui Zhao
- National Engineering Laboratory for Forensic Science Key Laboratory of Forensic Genetics of Ministry of Public Security Beijing Engineering Research Center of Crime Scene Evidence Examination Institute of Forensic Science Beijing P. R. China
| | - Xiao‐Yuan Guo
- Department of Forensic Genetics School of Forensic Science Shanxi Medical University Taiyuan Shanxi P. R. China
| | - Hao‐Yun Sun
- Jiangsu Key Laboratory of Phylogenomics and Comparative Genomics School of Life Sciences Jiangsu Normal University Xuzhou Jiangsu P. R. China
| | - Jing‐Yi Xu
- Department of Biochemistry and Molecular Biology Tianjin Key Laboratory of Medical Epigenetics School of Basic Medical Sciences Tianjin Medical University Tianjin P. R. China
| | - Yi‐Liang Wei
- Jiangsu Key Laboratory of Phylogenomics and Comparative Genomics School of Life Sciences Jiangsu Normal University Xuzhou Jiangsu P. R. China
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de Oliveira Bernardes C, Tuler AC, Canal D, Carvalho MS, Ferreira A, da Silva Ferreira MF. Genetic Diversity and Population Structure of Psidium Species from Restinga: A Coastal and Disturbed Ecosystem of the Brazilian Atlantic Forest. Biochem Genet 2022; 60:2503-2514. [PMID: 35577994 DOI: 10.1007/s10528-022-10222-7] [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: 07/05/2021] [Accepted: 03/09/2022] [Indexed: 11/30/2022]
Abstract
The Atlantic Forest is one of the most threatened biomes in the world. Here, we use a common set of microsatellite markers to assess the genetic diversity and population structure of three species from the genus Psidium (P. guajava, P. macahense, and P. guineense), located in a disturbed environment of the Atlantic Forest, the restinga, in Espírito Santo, Brazil. Psidium guajava populations presented the highest number of alleles (95) followed by P. guineense (81) and P. macahense (68). The genetic variability was high (P. guajava = 0.71; P. guineense = 0.74; P. macahense = 0.63), with greater variation within populations (72 to 84%) than among populations (15 to 27%), reflecting elevated values of genetic differentiation (P. guajava, FST: 0.15; P. macahense, ØST: 0.27; P. guineense, ØST: 0.21). The populations were clustered into two main groups and considered moderately structured. This is the first report of genetic studies and evidence of polyploidy to P. macahense. Our results may provide information that can be used in management and conservation strategies, to preserve the diversity of Psidium populations.
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Affiliation(s)
- Carolina de Oliveira Bernardes
- Laboratório de Genética e Melhoramento Vegetal, Centro de Ciências Agrárias E Engenharias, Universidade Federal do Espírito Santo, Alegre, Espírito Santo, Brazil
| | - Amélia Carlos Tuler
- Universidade Federal de Roraima, Campus Paricana, Boa Vista, RR, 69304-000, Brazil
| | - Drielli Canal
- Laboratório de Genética e Melhoramento Vegetal, Centro de Ciências Agrárias E Engenharias, Universidade Federal do Espírito Santo, Alegre, Espírito Santo, Brazil
| | - Marina Santos Carvalho
- Laboratório de Genética e Melhoramento Vegetal, Centro de Ciências Agrárias E Engenharias, Universidade Federal do Espírito Santo, Alegre, Espírito Santo, Brazil
| | - Adésio Ferreira
- Laboratório de Genética e Melhoramento Vegetal, Centro de Ciências Agrárias E Engenharias, Universidade Federal do Espírito Santo, Alegre, Espírito Santo, Brazil
| | - Marcia Flores da Silva Ferreira
- Laboratório de Genética e Melhoramento Vegetal, Centro de Ciências Agrárias E Engenharias, Universidade Federal do Espírito Santo, Alegre, Espírito Santo, Brazil.
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Wei X, Li Z, Ji H, Wu H. EDClust: an EM-MM hybrid method for cell clustering in multiple-subject single-cell RNA sequencing. Bioinformatics 2022; 38:2692-2699. [PMID: 35561178 PMCID: PMC9113373 DOI: 10.1093/bioinformatics/btac168] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 02/24/2022] [Accepted: 03/18/2022] [Indexed: 01/18/2023] Open
Abstract
MOTIVATION Single-cell RNA sequencing (scRNA-seq) has revolutionized biological research by enabling the measurement of transcriptomic profiles at the single-cell level. With the increasing application of scRNA-seq in larger-scale studies, the problem of appropriately clustering cells emerges when the scRNA-seq data are from multiple subjects. One challenge is the subject-specific variation; systematic heterogeneity from multiple subjects may have a significant impact on clustering accuracy. Existing methods seeking to address such effects suffer from several limitations. RESULTS We develop a novel statistical method, EDClust, for multi-subject scRNA-seq cell clustering. EDClust models the sequence read counts by a mixture of Dirichlet-multinomial distributions and explicitly accounts for cell-type heterogeneity, subject heterogeneity and clustering uncertainty. An EM-MM hybrid algorithm is derived for maximizing the data likelihood and clustering the cells. We perform a series of simulation studies to evaluate the proposed method and demonstrate the outstanding performance of EDClust. Comprehensive benchmarking on four real scRNA-seq datasets with various tissue types and species demonstrates the substantial accuracy improvement of EDClust compared to existing methods. AVAILABILITY AND IMPLEMENTATION The R package is freely available at https://github.com/weix21/EDClust. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
| | | | - Hongkai Ji
- Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Hao Wu
- To whom correspondence should be addressed.
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Liu Z, Tan X, Wang J, Jin Q, Meng X, Cai Z, Cui X, Wang K. Whole genome sequencing of Luxi Black Head sheep for screening selection signatures associated with important traits. Anim Biosci 2022; 35:1340-1350. [PMID: 35507856 PMCID: PMC9449392 DOI: 10.5713/ab.21.0533] [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: 12/04/2021] [Accepted: 03/21/2022] [Indexed: 11/27/2022] Open
Abstract
Objective Luxi Black Head sheep (LBH) is the first crossbreed specialized for meat production and was developed by crossbreeding Black Head Dorper sheep (DP) and Small Tailed Han sheep (STH) in the farming areas of northern China. Research on the genomic variations and selection signatures of LBH caused by continuous artificial selection is of great significance for identifying the genetic mechanisms of important traits of sheep and for the continuous breeding of LBH. Methods We explored the genetic relationships of LBH, DP, and several Mongolian sheep breeds by constructing phylogenetic tree, principal component analysis and linkage disequilibrium analysis. In addition, we analysed 29 whole genomes of sheep. The genome-wide selection signatures have been scanned with four methods: heterozygosity (HP), fixation index (FST), cross-population extended haplotype homozygosity (XP-EHH) and the nucleotide diversity (θπ) ratio. Results The genetic relationships analysis showed that LBH appeared to be an independent cluster closer to DP. The candidate signatures of positive selection in sheep genome revealed candidate genes for developmental process (HoxA gene cluster, BCL2L11, TSHR), immunity (CXCL6, CXCL1, SKAP2, PTK6, MST1R), growth (PDGFD, FGF18, SRF, SOCS2), and reproduction (BCAS3, TRIM24, ASTL, FNDC3A). Moreover, two signalling pathways closely related to reproduction, the thyroid hormone signalling pathway and the oxytocin signalling pathway, were detected. Conclusion The selective sweep analysis of LBH genome revealed candidate genes and signalling pathways associated with developmental process, immunity, growth, and reproduction. Our findings provide a valuable resource for sheep breeding and insight into the mechanisms of artificial selection.
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Gong Y, Zhang HY, Yuan Y, He Y, Zhang W, Han Y, Na R, Zeng Y, Luo J, Yang H, Huang Y, Zhao Y, Zhao Z, E GX. Genome-Wide Selection Sweep between Wild and Local Pigs from Europe for the Investigation of the Hereditary Characteristics of Domestication in Sus Scrofa. Animals (Basel) 2022; 12:ani12081037. [PMID: 35454283 PMCID: PMC9030587 DOI: 10.3390/ani12081037] [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: 01/18/2022] [Revised: 02/23/2022] [Accepted: 04/12/2022] [Indexed: 11/16/2022] Open
Abstract
The phenotypic characteristics of existing domestic pigs (DPs) greatly differ from those of wild boar (WB) populations thousands of years ago. After thousands of years of human domestication, WB and DP have diverged greatly in terms of genetics. Theoretically, worldwide local pigs have independent contributions from their local WBs at the beginning of Sus scrofa domestication. The investigation of the vicissitude of the heredity material between domestic populations and their wild ancestors will help in further understanding the domestication history of domestic animals. In the present study, we performed a genome-wide association scan (GWSA) and phylogeny estimation with a total of 1098 public European Illumina 60K single nucleotide polymorphism data, which included 650 local DPs and 448 WBs. The results revealed that the phylogenetic relationship of WBs corresponds to their geographical distribution and carries large divergence with DPs, and all WB breeds (e.g., HRWB, SBWB, and TIWB) presents a closely linkage with the middle WB (e.g., HRWB, and PLWB). In addition, 64 selected candidate genes (e.g., IDH2, PIP5K1B, SMARCA2, KIF5C, and TJP2) were identified from GWSA. A total of 63 known multiple biological functional pathways were annotated by 22 genes, and ubiquinone and other terpenoid-quinone biosynthesis pathways that belong to the metabolism of cofactors and vitamins were significantly enriched (p < 0.05). The most frequent (28.57%) pathways were classified under metabolism. We confirmed that the middle European WB has made an important genetic contribution to the entire European WB populations. A series of selected genes discovered from this study provides the scientific community with a deeper understanding of the heredity performance of metabolism and emotion and the real purpose behind domestication.
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Detection of QTLs for Plant Height Architecture Traits in Rice (Oryza sativa L.) by Association Mapping and the RSTEP-LRT Method. PLANTS 2022; 11:plants11070999. [PMID: 35406978 PMCID: PMC9002822 DOI: 10.3390/plants11070999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/26/2022] [Accepted: 03/30/2022] [Indexed: 11/23/2022]
Abstract
Plant height (PH) and its component traits are critical determinants of lodging resistance and strongly influence yield in rice. The genetic architecture of PH and its component traits were mined in two mapping populations. In the natural population composed of 504 accessions, a total of forty simple sequence repeat (SSR) markers associated with PH and its component traits were detected across two environments via association mapping. Allele RM305-210 bp on chromosome 5 for PH had the largest phenotypic effect value (PEV) (−51.42 cm) with a reducing effect. Allele RM3533-220 bp on chromosome 9 for panicle length and allele RM264-120 bp on chromosome 8 for the length of upper first elongated internode (1IN) showed the highest positive PEV. Among the elongated internodes with negative effects being desirable, the allele RM348-130 bp showed the largest PEV (−7.48 cm) for the length of upper second elongated internode. In the chromosome segment substitution line population consisting of 53 lines, a total of nine QTLs were detected across two environments, with the phenotypic variance explained (PVE) ranging 10.07–28.42%. Among the detected QTLs, q1IN-7 explained the largest PVE (28.42%) for the 1IN, with an additive of 5.31 cm. The favorable allele RM257-125 bp on chromosome 9 for the 1IN increasing was detected in both populations. The favorable alleles provided here could be used to shape PH architecture against lodging.
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Genomic Screening to Identify Food Trees Potentially Dispersed by Precolonial Indigenous Peoples. Genes (Basel) 2022; 13:genes13030476. [PMID: 35328030 PMCID: PMC8954434 DOI: 10.3390/genes13030476] [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: 11/06/2021] [Revised: 02/22/2022] [Accepted: 03/03/2022] [Indexed: 12/04/2022] Open
Abstract
Over millennia, Indigenous peoples have dispersed the propagules of non-crop plants through trade, seasonal migration or attending ceremonies; and potentially increased the geographic range or abundance of many food species around the world. Genomic data can be used to reconstruct these histories. However, it can be difficult to disentangle anthropogenic from non-anthropogenic dispersal in long-lived non-crop species. We developed a genomic workflow that can be used to screen out species that show patterns consistent with faunal dispersal or long-term isolation, and identify species that carry dispersal signals of putative human influence. We used genotyping-by-sequencing (DArTseq) and whole-plastid sequencing (SKIMseq) to identify nuclear and chloroplast Single Nucleotide Polymorphisms in east Australian rainforest trees (4 families, 7 genera, 15 species) with large (>30 mm) or small (<30 mm) edible fruit, either with or without a known history of use by Indigenous peoples. We employed standard population genetic analyses to test for four signals of dispersal using a limited and opportunistically acquired sample scheme. We expected different patterns for species that fall into one of three broadly described dispersal histories: (1) ongoing faunal dispersal, (2) post-megafauna isolation and (3) post-megafauna isolation followed by dispersal of putative human influence. We identified five large-fruited species that displayed strong population structure combined with signals of dispersal. We propose coalescent methods to investigate whether these genomic signals can be attributed to post-megafauna isolation and dispersal by Indigenous peoples.
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Bragg JG, van der Merwe M, Yap JYS, Borevitz J, Rossetto M. Plant collections for conservation and restoration: can they be adapted and adaptable? Mol Ecol Resour 2022; 22:2171-2182. [PMID: 35229464 DOI: 10.1111/1755-0998.13605] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 02/13/2022] [Accepted: 02/18/2022] [Indexed: 11/29/2022]
Abstract
Plant collections are important for the conservation of threatened species, and can provide material for ecological restoration. Typically we want collections to have high genetic diversity so populations founded from it are adaptable to future challenges. Sometimes, we have additional objectives for collections, such as enrichment for desirable traits controlled by adaptive alleles. We used landscape genomic datasets for two plants, Westringia fruticosa and Wilkiea huegeliana, to design collections that are genetically diverse, and that are adapted to warming climates. We characterized temperature adaptation by: (i) using the mean annual temperature of the sites of origin of the plants, and (ii) using the representation of alleles that are associated with warm temperatures. In Westringia fruticosa, there was a negative correlation, or tradeoff, between designing a collection that was both genetically diverse and adapted to warm temperatures. This tradeoff was weaker in Wilkiea huegeliana. We hypothesized this was because neutral genetic variation was strongly correlated with temperature in Westringia fruticosa, and not in Wilkiea huegeliana. Accordingly, when we shuffled the temperature data, breaking up the covariance between Westringia fruticosa genetic variation and temperature, there was a relaxation of the observed tradeoff. In sum, we explore tradeoffs between promoting genetic diversity and selecting for a specific trait in plant collections, and show that the strength of this tradeoff varies between two species. This represents a useful step towards understanding when selection will have a large cost in genetic diversity, and when it will be possible to design a collection that is both adapted and adaptable.
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Affiliation(s)
- Jason G Bragg
- Research Centre for Ecosystem Resilience, Royal Botanic Gardens and Domain Trust, Mrs Macquaries Rd, Sydney, NSW, 2000, Australia.,School of Biological Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Marlien van der Merwe
- Research Centre for Ecosystem Resilience, Royal Botanic Gardens and Domain Trust, Mrs Macquaries Rd, Sydney, NSW, 2000, Australia
| | - Jia-Yee Samantha Yap
- Research Centre for Ecosystem Resilience, Royal Botanic Gardens and Domain Trust, Mrs Macquaries Rd, Sydney, NSW, 2000, Australia
| | - Justin Borevitz
- Research School of Biology, Australian National University, Canberra, Australia
| | - Maurizio Rossetto
- Research Centre for Ecosystem Resilience, Royal Botanic Gardens and Domain Trust, Mrs Macquaries Rd, Sydney, NSW, 2000, Australia
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Clark MI, Bradburd GS, Akopyan M, Vega A, Rosenblum EB, Robertson JM. Genetic isolation by distance underlies colour pattern divergence in red-eyed treefrogs (Agalychnis callidryas). Mol Ecol 2022; 31:1666-1681. [PMID: 35034406 PMCID: PMC8923152 DOI: 10.1111/mec.16350] [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: 05/22/2021] [Revised: 10/21/2021] [Accepted: 01/04/2022] [Indexed: 10/19/2022]
Abstract
Investigating the spatial distribution of genetic and phenotypic variation can provide insights into the evolutionary processes that shape diversity in natural systems. We characterized patterns of genetic and phenotypic diversity to learn about drivers of colour-pattern diversification in red-eyed treefrogs (Agalychnis callidryas) in Costa Rica. Along the Pacific coast, red-eyed treefrogs have conspicuous leg colour patterning that transitions from orange in the north to purple in the south. We measured phenotypic variation of frogs, with increased sampling at sites where the orange-to-purple transition occurs. At the transition zone, we discovered the co-occurrence of multiple colour-pattern morphs. To explore possible causes of this variation, we generated a single nucleotide polymorphism data set to analyse population genetic structure, measure genetic diversity and infer the processes that mediate genotype-phenotype dynamics. We investigated how patterns of genetic relatedness correspond to individual measures of colour pattern along the coast, including testing for the role of hybridization in geographic regions where orange and purple phenotypic groups co-occur. We found no evidence that colour-pattern polymorphism in the transition zone arose through recent hybridization. Instead, a strong pattern of genetic isolation by distance indicates that colour-pattern variation was either retained through other processes such as ancestral colour polymorphisms or ancient secondary contact, or else it was generated by novel mutations. We found that phenotype changes along the Pacific coast more than would be expected based on genetic divergence and geographic distance alone. Combined, our results suggest the possibility of selective pressures acting on colour pattern at a small geographic scale.
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Affiliation(s)
- Meaghan I. Clark
- Department of Biology, California State University Northridge, Northridge, California, USA,Department of integrative Biology, Ecology, Evolution and Behavior Program, Michigan State University, East Lansing, Michigan, USA,W.K. Kellogg Biological Station, Michigan State University, Hickory Corners, Michigan, USA
| | - Gideon S. Bradburd
- Department of integrative Biology, Ecology, Evolution and Behavior Program, Michigan State University, East Lansing, Michigan, USA
| | - Maria Akopyan
- Department of Biology, California State University Northridge, Northridge, California, USA,Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, USA
| | | | - Erica Bree Rosenblum
- Department of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, California, USA,Museum of Vertebrate Zoology, University of California Berkeley, Berkeley, California, USA
| | - Jeanne M. Robertson
- Department of Biology, California State University Northridge, Northridge, California, USA,Department of Herpetology, Natural History Museum of Los Angeles County, Los Angeles, California, USA
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Lou H, Gao Y, Xie B, Wang Y, Zhang H, Shi M, Ma S, Zhang X, Liu C, Xu S. Haplotype-resolved de novo assembly of a Tujia genome suggests the necessity for high-quality population-specific genome references. Cell Syst 2022; 13:321-333.e6. [PMID: 35180379 DOI: 10.1016/j.cels.2022.01.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 11/09/2021] [Accepted: 01/27/2022] [Indexed: 12/17/2022]
Abstract
Even though the human reference genome assembly is continually being improved, it remains debatable whether a population-specific reference is necessary for every ethnic group. Here, we de novo assembled an individual genome (TJ1) from the Tujia population, an ethnic minority group most closely related to the Han Chinese. TJ1 provided a high-quality haplotype-resolved assembly of chromosome-scale with a scaffold N50 size >78 Mb. Compared with GRCh38 and other de novo assemblies, TJ1 improved short-read mapping, enhanced calling precision for structural variants, and detected rare and low-frequency variants. This revealed fine-scale differences between the closely related Han and Tujia populations, such as population-stratified variants of LCT and UBXN8, and improved screening for ancestry informative markers. We demonstrated that TJ1 could reduce false positives in clinical diagnosis and analyzed the PRSS1-PRSS2 locus as a test case. Our results suggest that population-specific assemblies are necessary for genetic and medical analysis, especially when closely related populations are studied. A record of this paper's transparent peer review process is included in the supplemental information.
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Affiliation(s)
- Haiyi Lou
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.
| | - Yang Gao
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Bo Xie
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yimin Wang
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | | | - Miao Shi
- Berry Genomics, Beijing 102200, China
| | - Sen Ma
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xiaoxi Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Chang Liu
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Shuhua Xu
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai 200438, China; School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Department of Liver Surgery and Transplantation Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China; Jiangsu Key Laboratory of Phylogenomics and Comparative Genomics, School of Life Sciences, Jiangsu Normal University, Xuzhou 221116, China; Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450052, China; Ministry of Education Key Laboratory of Contemporary Anthropology, Human Phenome Institute, Fudan University, Shanghai 201203, China.
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Willis SC, Hollenbeck CM, Puritz JB, Portnoy DS. Genetic recruitment patterns are patchy and spatiotemporally unpredictable in a deep-water snapper (Lutjanus vivanus) sampled in fished and protected areas of western Puerto Rico. CONSERV GENET 2022. [DOI: 10.1007/s10592-021-01426-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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38
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Prates I, Singhal S, Marchán-Rivadeneira MR, Grundler MR, Moritz C, Donnellan SC, Rabosky DL. Genetic and Ecogeographic Controls on Species Cohesion in Australia’s Most Diverse Lizard Radiation. Am Nat 2022; 199:E57-E75. [DOI: 10.1086/717411] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Ivan Prates
- Department of Ecology and Evolutionary Biology and Museum of Zoology, University of Michigan, Ann Arbor, Michigan 48109
| | - Sonal Singhal
- Department of Biology, California State University–Dominguez Hills, Carson, California 90747
| | | | - Maggie R. Grundler
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, California 94720; and Museum of Vertebrate Zoology, University of California, Berkeley, California 94720
| | - Craig Moritz
- Division of Ecology and Evolution and Centre for Biodiversity Analysis, Australian National University, Camberra, Australian Capital Territory, Australia
| | | | - Daniel L. Rabosky
- Department of Ecology and Evolutionary Biology and Museum of Zoology, University of Michigan, Ann Arbor, Michigan 48109
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Wooding SP, Ramirez VA. Worldwide diversity, association potential, and natural selection in the superimposed taste genes, CD36 and GNAT3. Chem Senses 2022; 47:6491270. [PMID: 34972209 DOI: 10.1093/chemse/bjab052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
CD36 and GNAT3 mediate taste responses, with CD36 acting as a lipid detector and GNAT3 acting as the α subunit of gustducin, a G protein governing sweet, savory, and bitter transduction. Strikingly, the genes encoding CD36 and GNAT3 are genomically superimposed, with CD36 completely encompassing GNAT3. To characterize genetic variation across the CD36-GNAT3 region, its implications for phenotypic diversity, and its recent evolution, we analyzed from ~2,500 worldwide subjects sequenced by the 1000 Genomes Project (1000GP). CD36-GNAT3 harbored extensive diversity including 8,688 single-nucleotide polymorphisms (SNPs), 414 indels, and other complex variants. Sliding window analyses revealed that nucleotide diversity and population differentiation across CD36-GNAT3 were consistent with genome-wide trends in the 1000GP (π = 0.10%, P = 0.64; FST = 9.0%, P = 0.57). In addition, functional predictions using SIFT and PolyPhen-2 identified 60 variants likely to alter protein function, and they were in weak linkage disequilibrium (r2 < 0.17), suggesting their effects are largely independent. However, the frequencies of predicted functional variants were low (P¯ = 0.0013), indicating their contributions to phenotypic variance on population scales are limited. Tests using Tajima's D statistic revealed that pressures from natural selection have been relaxed across most of CD36-GNAT3 during its recent history (0.39 < P < 0.67). However, CD36 exons showed signs of local adaptation consistent with prior reports (P < 0.035). Thus, CD36 and GNAT3 harbor numerous variants predicted to affect taste sensitivity, but most are rare and phenotypic variance on a population level is likely mediated by a small number of sites.
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Affiliation(s)
- Stephen P Wooding
- Department of Anthropology, University of California, Merced, Merced, CA, USA
| | - Vicente A Ramirez
- Department of Public Health, University of California, Merced, Merced, CA, USA
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40
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Zhang QS, Goudet J, Weir BS. Rank-invariant estimation of inbreeding coefficients. Heredity (Edinb) 2022; 128:1-10. [PMID: 34824382 PMCID: PMC8733021 DOI: 10.1038/s41437-021-00471-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 09/05/2021] [Accepted: 09/05/2021] [Indexed: 11/18/2022] Open
Abstract
The two alleles an individual carries at a locus are identical by descent (ibd) if they have descended from a single ancestral allele in a reference population, and the probability of such identity is the inbreeding coefficient of the individual. Inbreeding coefficients can be predicted from pedigrees with founders constituting the reference population, but estimation from genetic data is not possible without data from the reference population. Most inbreeding estimators that make explicit use of sample allele frequencies as estimates of allele probabilities in the reference population are confounded by average kinships with other individuals. This means that the ranking of those estimates depends on the scope of the study sample and we show the variation in rankings for common estimators applied to different subdivisions of 1000 Genomes data. Allele-sharing estimators of within-population inbreeding relative to average kinship in a study sample, however, do have invariant rankings across all studies including those individuals. They are unbiased with a large number of SNPs. We discuss how allele sharing estimates are the relevant quantities for a range of empirical applications.
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Affiliation(s)
- Qian S Zhang
- Department of Biostatistics, University of Washington, Seattle, WA, 98195-1617, USA
| | - Jérôme Goudet
- Department of Ecology and Evolution, University of Lausanne, CH-1015, Lausanne, Switzerland
| | - Bruce S Weir
- Department of Biostatistics, University of Washington, Seattle, WA, 98195-1617, USA.
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41
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Gay L, Dhinaut J, Jullien M, Vitalis R, Navascués M, Ranwez V, Ronfort J. Evolution of flowering time in a selfing annual plant: Roles of adaptation and genetic drift. Ecol Evol 2022; 12:e8555. [PMID: 35127051 PMCID: PMC8794724 DOI: 10.1002/ece3.8555] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 12/10/2021] [Indexed: 11/10/2022] Open
Abstract
Resurrection studies are a useful tool to measure how phenotypic traits have changed in populations through time. If these trait modifications correlate with the environmental changes that occurred during the time period, it suggests that the phenotypic changes could be a response to selection. Selfing, through its reduction of effective size, could challenge the ability of a population to adapt to environmental changes. Here, we used a resurrection study to test for adaptation in a selfing population of Medicago truncatula, by comparing the genetic composition and flowering times across 22 generations. We found evidence for evolution toward earlier flowering times by about two days and a peculiar genetic structure, typical of highly selfing populations, where some multilocus genotypes (MLGs) are persistent through time. We used the change in frequency of the MLGs through time as a multilocus fitness measure and built a selection gradient that suggests evolution toward earlier flowering times. Yet, a simulation model revealed that the observed change in flowering time could be explained by drift alone, provided the effective size of the population is small enough (<150). These analyses suffer from the difficulty to estimate the effective size in a highly selfing population, where effective recombination is severely reduced.
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Affiliation(s)
- Laurène Gay
- CIRADINRAEInstitut AgroUMR AGAP InstitutUniv MontpellierMontpellierFrance
| | - Julien Dhinaut
- CIRADINRAEInstitut AgroUMR AGAP InstitutUniv MontpellierMontpellierFrance
- Present address:
Evolutionary Biology and Ecology of AlgaeUPMCUniversity of Paris VI, UC, UACH, UMI 3614CNRSSorbonne UniversitésRoscoffFrance
| | - Margaux Jullien
- CIRADINRAEInstitut AgroUMR AGAP InstitutUniv MontpellierMontpellierFrance
- Present address:
INRAUniv. Paris‐SudCNRSAgroParisTechGQE – Le MoulonUniversité Paris‐SaclayGif‐sur‐YvetteFrance
| | - Renaud Vitalis
- CIRADINRAEInstitut AgroIRDCBGPUniv MontpellierMontpellierFrance
| | | | - Vincent Ranwez
- CIRADINRAEInstitut AgroUMR AGAP InstitutUniv MontpellierMontpellierFrance
| | - Joëlle Ronfort
- CIRADINRAEInstitut AgroUMR AGAP InstitutUniv MontpellierMontpellierFrance
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42
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Legarra A, Garcia-Baccino CA, Wientjes YCJ, Vitezica ZG. The correlation of substitution effects across populations and generations in the presence of nonadditive functional gene action. Genetics 2021; 219:iyab138. [PMID: 34718531 PMCID: PMC8664574 DOI: 10.1093/genetics/iyab138] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 08/19/2021] [Indexed: 11/14/2022] Open
Abstract
Allele substitution effects at quantitative trait loci (QTL) are part of the basis of quantitative genetics theory and applications such as association analysis and genomic prediction. In the presence of nonadditive functional gene action, substitution effects are not constant across populations. We develop an original approach to model the difference in substitution effects across populations as a first order Taylor series expansion from a "focal" population. This expansion involves the difference in allele frequencies and second-order statistical effects (additive by additive and dominance). The change in allele frequencies is a function of relationships (or genetic distances) across populations. As a result, it is possible to estimate the correlation of substitution effects across two populations using three elements: magnitudes of additive, dominance, and additive by additive variances; relationships (Nei's minimum distances or Fst indexes); and assumed heterozygosities. Similarly, the theory applies as well to distinct generations in a population, in which case the distance across generations is a function of increase of inbreeding. Simulation results confirmed our derivations. Slight biases were observed, depending on the nonadditive mechanism and the reference allele. Our derivations are useful to understand and forecast the possibility of prediction across populations and the similarity of GWAS effects.
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Affiliation(s)
- Andres Legarra
- INRAE/INP, UMR 1388 GenPhySE, Castanet-Tolosan 31326, France
| | - Carolina A. Garcia-Baccino
- INRAE/INP, UMR 1388 GenPhySE, Castanet-Tolosan 31326, France
- Departamento de Producción Animal, Facultad de Agronomía, Universidad de Buenos Aires, Buenos Aires C1417DSQ, Argentina
- SAS NUCLEUS, Le Rheu 35650, France
| | - Yvonne C. J. Wientjes
- Wageningen University & Research, Animal Breeding and Genomics, Wageningen 6700 AH, the Netherlands
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43
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Hauser SS, Athrey G, Leberg PL. Waste not, want not: Microsatellites remain an economical and informative technology for conservation genetics. Ecol Evol 2021; 11:15800-15814. [PMID: 34824791 PMCID: PMC8601879 DOI: 10.1002/ece3.8250] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 09/07/2021] [Accepted: 09/16/2021] [Indexed: 11/07/2022] Open
Abstract
Comparisons of microsatellites and single-nucleotide polymorphisms (SNPs) have found that SNPs outperform microsatellites in population genetic analyses, questioning the continued utility of microsatellites in population and landscape genetics. Yet, highly polymorphic markers may be of value in species that have reduced genetic variation. This study repeated previous analyses that used microsatellites with SNPs developed from ddRAD sequencing in the black-capped vireo source-sink system. SNPs provided greater resolution of genetic diversity, population differentiation, and migrant detection but could not reconstruct parentage relationships due to insufficient heterozygosities. The biological inferences made by both sets of markers were similar: asymmetrical gene flow from source sites to the remaining sink sites. With the landscape genetic analyses, we found different results between the two molecular markers, but associations of the top environmental features (riparian, open habitat, agriculture, and human development) with dispersal estimates were shared between marker types. Despite the higher precision of SNPs, we find that microsatellites effectively uncover population processes and patterns and are superior for parentage analyses in this species with reduced genetic diversity. This study illustrates the continued applicability and relevance of microsatellites in population genetic research.
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Affiliation(s)
- Samantha S. Hauser
- Department of BiologyUniversity of Louisiana at LafayetteLafayetteLouisianaUSA
| | - Giridhar Athrey
- Faculty of Ecology and Evolutionary BiologyTexas A&M UniversityCollege StationTexasUSA
| | - Paul L. Leberg
- Department of BiologyUniversity of Louisiana at LafayetteLafayetteLouisianaUSA
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44
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Artemov GN, Fedorova VS, Karagodin DA, Brusentsov II, Baricheva EM, Sharakhov IV, Gordeev MI, Sharakhova MV. New Cytogenetic Photomap and Molecular Diagnostics for the Cryptic Species of the Malaria Mosquitoes Anopheles messeae and Anopheles daciae from Eurasia. INSECTS 2021; 12:835. [PMID: 34564275 PMCID: PMC8465136 DOI: 10.3390/insects12090835] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 09/03/2021] [Accepted: 09/13/2021] [Indexed: 11/17/2022]
Abstract
The Eurasian malaria vector Anopheles messeae is a widely spread and genetically diverse species. Five widespread polymorphic chromosomal inversions were found in natural populations of this mosquito. A cryptic species, Anopheles daciae, was differentiated from An. messeae by the presence of several nucleotide substitutions in the Internal Transcribed Spacer 2 (ITS2) region of ribosomal DNA. However, because of the absence of a high-quality reference cytogenetic map, the inversion polymorphisms in An. daciae and An. messeae remain poorly understood. Moreover, a recently determined heterogeneity in ITS2 in An. daciae questioned the accuracy of the previously used Restriction Fragment Length Polymorphism (RFLP) assay for species diagnostics. In this study, a standard-universal cytogenetic map was constructed based on orcein stained images of chromosomes from salivary glands for population studies of the chromosomal inversions that can be used for both An. messeae and An. daciae. In addition, a new ITS2-RFLP approach for species diagnostics was developed. Both methods were applied to characterize inversion polymorphism in populations of An. messeae and An. daciae from a single location in Western Siberia in Russia. The analysis demonstrates that cryptic species are remarkably different in their frequencies of chromosomal inversion variants. Our study supports previous observations that An. messeae has higher inversion polymorphism in all autosomes than the cryptic species An. daciae.
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Affiliation(s)
- Gleb N. Artemov
- Laboratory of Evolutionary Genomics of Insects, Institute of Cytology and Genetics, 630090 Novosibirsk, Russia; (G.N.A.); (D.A.K.); (I.I.B.); (I.V.S.)
- Department of Genetics and Cell Biology, Tomsk State University, 634050 Tomsk, Russia;
| | - Valentina S. Fedorova
- Department of Genetics and Cell Biology, Tomsk State University, 634050 Tomsk, Russia;
| | - Dmitriy A. Karagodin
- Laboratory of Evolutionary Genomics of Insects, Institute of Cytology and Genetics, 630090 Novosibirsk, Russia; (G.N.A.); (D.A.K.); (I.I.B.); (I.V.S.)
| | - Ilya I. Brusentsov
- Laboratory of Evolutionary Genomics of Insects, Institute of Cytology and Genetics, 630090 Novosibirsk, Russia; (G.N.A.); (D.A.K.); (I.I.B.); (I.V.S.)
| | - Elina M. Baricheva
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, 630090 Novosibirsk, Russia;
| | - Igor V. Sharakhov
- Laboratory of Evolutionary Genomics of Insects, Institute of Cytology and Genetics, 630090 Novosibirsk, Russia; (G.N.A.); (D.A.K.); (I.I.B.); (I.V.S.)
- Department of Genetics and Cell Biology, Tomsk State University, 634050 Tomsk, Russia;
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Mikhail I. Gordeev
- Department of General Biology and Ecology, Moscow Region State University, 141014 Moscow, Russia;
| | - Maria V. Sharakhova
- Laboratory of Evolutionary Genomics of Insects, Institute of Cytology and Genetics, 630090 Novosibirsk, Russia; (G.N.A.); (D.A.K.); (I.I.B.); (I.V.S.)
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
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45
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Kitada S, Nakamichi R, Kishino H. Understanding population structure in an evolutionary context: population-specific FST and pairwise FST. G3-GENES GENOMES GENETICS 2021; 11:6364900. [PMID: 34549777 PMCID: PMC8527463 DOI: 10.1093/g3journal/jkab316] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 08/27/2021] [Indexed: 01/04/2023]
Abstract
Populations are shaped by their history. It is crucial to interpret population structure in an evolutionary context. Pairwise FST measures population structure, whereas population-specific FST measures deviation from the ancestral population. To understand the current population structure and a population’s history of range expansion, we propose a representation method that overlays population-specific FST estimates on a sampling location map, and on an unrooted neighbor-joining tree and a multi-dimensional scaling plot inferred from a pairwise FST distance matrix. We examined the usefulness of our procedure using simulations that mimicked population colonization from an ancestral population and by analyzing published human, Atlantic cod, and wild poplar data. Our results demonstrated that population-specific FST values identify the source population and trace the evolutionary history of its derived populations. Conversely, pairwise FST values represent the current population structure. By integrating the results of both estimators, we obtained a new picture of the population structure that incorporates evolutionary history. The generalized least squares estimate of genome-wide population-specific FST indicated that the wild poplar population expanded its distribution to the north, where daylight hours are long in summer, to coastal areas with abundant rainfall, and to the south where summers are dry. Genomic data highlight the power of the bias-corrected moment estimators of FST, whether global, pairwise, or population-specific, that provide unbiased estimates of FST. All FST moment estimators described in this paper have reasonable processing times and are useful in population genomics studies.
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Affiliation(s)
- Shuichi Kitada
- Tokyo University of Marine Science and Technology, Tokyo 108-8477, Japan
| | | | - Hirohisa Kishino
- Graduate School of Agriculture and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan.,The Research Institute of Evolutionary Biology, Tokyo 138-0098, Japan
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46
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Park S, Kumar P, Shi A, Mou B. Population genetics and genome-wide association studies provide insights into the influence of selective breeding on genetic variation in lettuce. THE PLANT GENOME 2021; 14:e20086. [PMID: 33629537 DOI: 10.1002/tpg2.20086] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 12/17/2020] [Indexed: 05/10/2023]
Abstract
Genetic diversity is an important resource in crop breeding to improve cultivars with desirable traits. Selective breeding can lead to a reduction of genetic diversity. However, our understanding on this subject remains limited in lettuce (Lactuca sativa L.). Genotyping-by-sequencing (GBS) can provide a reduced version of the genome as a cost-effective method to identify genetic variants across the genome. We genotyped a diverse set of 441 lettuce accessions using the GBS method. Phylogenetic and population genetic analyses indicated substantial genetic divergence among four horticultural types of lettuce: butterhead, crisphead, leaf, and romaine. Genetic-diversity estimates between and within the four types indicated that the crisphead type was the most differentiated from other types, whereas its population was the most homogenous with the slowest linkage disequilibrium (LD) decay among the four types. These results suggested that crisphead lettuces had relatively less genetic variation across the genome as well as low gene flow from other types. We identified putative selective sweep regions that showed low genetic variation in the crisphead type. Genome-wide association study (GWAS) and quantitative trait loci (QTL) analyses provided evidence that these genomic regions were, in part, associated with delayed bolting, implicating the positive selection of delayed bolting in reducing variation. Our findings enhance the current understanding of genetic diversity and the impacts of selective breeding on patterning genetic variation in lettuce.
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Affiliation(s)
- Sunchung Park
- USDA-Agricultural Research Service, Crop Improvement and Protection Research Unit, Salinas, CA, 93905, USA
| | - Pawan Kumar
- USDA-Agricultural Research Service, Crop Improvement and Protection Research Unit, Salinas, CA, 93905, USA
| | - Ainong Shi
- Department of Horticulture, University of Arkansas, Fayetteville, AR, 72701, USA
| | - Beiquan Mou
- USDA-Agricultural Research Service, Crop Improvement and Protection Research Unit, Salinas, CA, 93905, USA
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47
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Rosenthal WC, McIntyre PB, Lisi PJ, Prather RB, Moody KN, Blum MJ, Hogan JD, Schoville SD. Invasion and rapid adaptation of guppies ( Poecilia reticulata) across the Hawaiian Archipelago. Evol Appl 2021; 14:1747-1761. [PMID: 34295361 PMCID: PMC8288002 DOI: 10.1111/eva.13236] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Revised: 02/12/2021] [Accepted: 03/12/2021] [Indexed: 01/19/2023] Open
Abstract
How much does natural selection, as opposed to genetic drift, admixture, and gene flow, contribute to the evolution of invasive species following introduction to a new environment? Here we assess how evolution can shape biological invasions by examining population genomic variation in non-native guppies (Poecilia reticulata) introduced to the Hawaiian Islands approximately a century ago. By examining 18 invasive populations from four Hawaiian islands and four populations from the native range in northern South America, we reconstructed the history of introductions and evaluated population structure as well as the extent of ongoing gene flow across watersheds and among islands. Patterns of differentiation indicate that guppies have developed significant population structure, with little natural or human-mediated gene flow having occurred among populations following introduction. Demographic modeling and admixture graph analyses together suggest that guppies were initially introduced to O'ahu and Maui and then translocated to Hawai'i and Kaua'i. We detected evidence for only one introduction event from the native range, implying that any adaptive evolution in introduced populations likely utilized the genetic variation present in the founding population. Environmental association tests accounting for population structure identified loci exhibiting signatures of adaptive variation related to predators and landscape characteristics but not nutrient regimes. When paired with high estimates of effective population sizes and detectable population structure, the presence of environment-associated loci supports the role of natural selection in shaping contemporary evolution of Hawaiian guppy populations. Our findings indicate that local adaptation may engender invasion success, particularly in species with life histories that facilitate rapid evolution. Finally, evidence of low gene flow between populations suggests that removal could be an effective approach to control invasive guppies across the Hawaiian archipelago.
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Affiliation(s)
- William C. Rosenthal
- Center for LimnologyUniversity of Wisconsin‐MadisonMadisonWIUSA
- Department of BotanyUniversity of WyomingLaramieWYUSA
| | - Peter B. McIntyre
- Center for LimnologyUniversity of Wisconsin‐MadisonMadisonWIUSA
- Department of Natural ResourcesCornell UniversityIthacaNYUSA
| | - Peter J. Lisi
- Center for LimnologyUniversity of Wisconsin‐MadisonMadisonWIUSA
| | - Robert B. Prather
- Department of Evolution, Ecology, and Organismal BiologyUniversity of California RiversideRiversideCAUSA
| | - Kristine N. Moody
- Department of Ecology and Evolutionary BiologyUniversity of Tennessee KnoxvilleKnoxvilleTNUSA
- The ByWater InstituteTulane UniversityNew OrleansLAUSA
- Oak Ridge National LaboratoryOak RidgeTNUSA
| | - Michael J. Blum
- Department of Ecology and Evolutionary BiologyUniversity of Tennessee KnoxvilleKnoxvilleTNUSA
- The ByWater InstituteTulane UniversityNew OrleansLAUSA
| | - James Derek Hogan
- Department of Life SciencesTexas A&M University‐Corpus ChristiCorpus ChristiTXUSA
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48
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Liu L, Chen X, Petinrin OO, Zhang W, Rahaman S, Tang ZR, Wong KC. Machine Learning Protocols in Early Cancer Detection Based on Liquid Biopsy: A Survey. Life (Basel) 2021; 11:638. [PMID: 34209249 PMCID: PMC8308091 DOI: 10.3390/life11070638] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 06/23/2021] [Accepted: 06/24/2021] [Indexed: 12/24/2022] Open
Abstract
With the advances of liquid biopsy technology, there is increasing evidence that body fluid such as blood, urine, and saliva could harbor the potential biomarkers associated with tumor origin. Traditional correlation analysis methods are no longer sufficient to capture the high-resolution complex relationships between biomarkers and cancer subtype heterogeneity. To address the challenge, researchers proposed machine learning techniques with liquid biopsy data to explore the essence of tumor origin together. In this survey, we review the machine learning protocols and provide corresponding code demos for the approaches mentioned. We discuss algorithmic principles and frameworks extensively developed to reveal cancer mechanisms and consider the future prospects in biomarker exploration and cancer diagnostics.
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Affiliation(s)
- Linjing Liu
- Department of Computer Science, City University of Hong Kong, Hong Kong, China; (L.L.); (X.C.); (O.O.P.); (W.Z.); (S.R.); (Z.-R.T.)
| | - Xingjian Chen
- Department of Computer Science, City University of Hong Kong, Hong Kong, China; (L.L.); (X.C.); (O.O.P.); (W.Z.); (S.R.); (Z.-R.T.)
| | - Olutomilayo Olayemi Petinrin
- Department of Computer Science, City University of Hong Kong, Hong Kong, China; (L.L.); (X.C.); (O.O.P.); (W.Z.); (S.R.); (Z.-R.T.)
| | - Weitong Zhang
- Department of Computer Science, City University of Hong Kong, Hong Kong, China; (L.L.); (X.C.); (O.O.P.); (W.Z.); (S.R.); (Z.-R.T.)
| | - Saifur Rahaman
- Department of Computer Science, City University of Hong Kong, Hong Kong, China; (L.L.); (X.C.); (O.O.P.); (W.Z.); (S.R.); (Z.-R.T.)
| | - Zhi-Ri Tang
- Department of Computer Science, City University of Hong Kong, Hong Kong, China; (L.L.); (X.C.); (O.O.P.); (W.Z.); (S.R.); (Z.-R.T.)
| | - Ka-Chun Wong
- Department of Computer Science, City University of Hong Kong, Hong Kong, China; (L.L.); (X.C.); (O.O.P.); (W.Z.); (S.R.); (Z.-R.T.)
- Hong Kong Institute for Data Science, City University of Hong Kong, Hong Kong, China
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Wang T, Zhou M, Guo J, Guo YY, Ding K, Wang P, Wang ZP. Analysis of selection signatures on the Z chromosome of bidirectional selection broiler lines for the assessment of abdominal fat content. BMC Genom Data 2021; 22:18. [PMID: 34058970 PMCID: PMC8165782 DOI: 10.1186/s12863-021-00971-6] [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: 02/03/2021] [Accepted: 05/13/2021] [Indexed: 11/26/2022] Open
Abstract
Background The discovery of selection signatures has enabled the identification of genomics regions under selective pressure, enhancing knowledge of evolutionary genotype-phenotypes. Sex chromosomes play an important role in species formation and evolution. Therefore, the exploration of selection signatures on sex chromosomes has important biological significance. Results In this study, we used the Cross Population Extend Haplotype Homozygosity Test (XPEHH), F-statistics (FST) and EigenGWAS to assess selection signatures on the Z chromosome in 474 broiler chickens via Illumina chicken 60 K SNP chips. SNP genotype data were downloaded from publicly available resources. We identified 17 selection regions, amongst which 1, 11 and 12 were identified by XPEHH, FST, and EigenGWAS, respectively. Each end of the Z chromosome appeared to undergo the highest levels of selection pressure. A total of 215 candidate genes were located in 17 selection regions, some of which mediated lipogenesis, fatty acid production, fat metabolism, and fat decomposition, including FGF10, ELOVL7, and IL6ST. Using abdominal adipose tissue expression data of the chickens, 187 candidate genes were expressed with 15 differentially expressed genes (DEGs) in fat vs. lean lines identified. Amongst the DEGs, VCAN was related to fat metabolism. GO pathway enrichment analysis and QTL annotations were performed to fully characterize the selection mechanism(s) of chicken abdominal fat content. Conclusions We have found some selection regions and candidate genes involving in fat metabolism on the Z chromosome. These findings enhance our understanding of sex chromosome selection signatures. Supplementary Information The online version contains supplementary material available at 10.1186/s12863-021-00971-6.
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Affiliation(s)
- Tao Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Bioinformatics Center, Northeast Agricultural University, Harbin, China
| | - Meng Zhou
- Bioinformatics Center, Northeast Agricultural University, Harbin, China.,Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture and Rural Affairs, Jimei University, Xiamen, China
| | - Jing Guo
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Bioinformatics Center, Northeast Agricultural University, Harbin, China
| | - Yuan-Yuan Guo
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Bioinformatics Center, Northeast Agricultural University, Harbin, China
| | - Kun Ding
- College of Computer Science and Technology, Inner Mongolia Normal University, Huhehot, China
| | - Peng Wang
- HeiLongJiang provincial Husbandry Department, Harbin, China
| | - Zhi-Peng Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China. .,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China. .,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China. .,Bioinformatics Center, Northeast Agricultural University, Harbin, China.
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50
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Yair S, Lee KM, Coop G. The timing of human adaptation from Neanderthal introgression. Genetics 2021; 218:iyab052. [PMID: 33787889 PMCID: PMC8128397 DOI: 10.1093/genetics/iyab052] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 02/26/2021] [Indexed: 12/26/2022] Open
Abstract
Admixture has the potential to facilitate adaptation by providing alleles that are immediately adaptive in a new environment or by simply increasing the long-term reservoir of genetic diversity for future adaptation. A growing number of cases of adaptive introgression are being identified in species across the tree of life, however the timing of selection, and therefore the importance of the different evolutionary roles of admixture, is typically unknown. Here, we investigate the spatio-temporal history of selection favoring Neanderthal-introgressed alleles in modern human populations. Using both ancient and present-day samples of modern humans, we integrate the known demographic history of populations, namely population divergence and migration, with tests for selection. We model how a sweep placed along different branches of an admixture graph acts to modify the variance and covariance in neutral allele frequencies among populations at linked loci. Using a method based on this model of allele frequencies, we study previously identified cases of adaptive Neanderthal introgression. From these, we identify cases in which Neanderthal-introgressed alleles were quickly beneficial and other cases in which they persisted at low frequency for some time. For some of the alleles that persisted at low frequency, we show that selection likely independently favored them later on in geographically separated populations. Our work highlights how admixture with ancient hominins has contributed to modern human adaptation and contextualizes observed levels of Neanderthal ancestry in present-day and ancient samples.
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Affiliation(s)
- Sivan Yair
- Center for Population Biology, University of California, Davis, Davis, CA 95616, USA
- Department of Evolution and Ecology, University of California, Davis, Davis, CA 95616, USA
| | - Kristin M Lee
- Department of Biological Sciences, Columbia University, New York, NY 10027, USA
| | - Graham Coop
- Center for Population Biology, University of California, Davis, Davis, CA 95616, USA
- Department of Evolution and Ecology, University of California, Davis, Davis, CA 95616, USA
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