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Huang PH, Wang TR, Li M, Fang OY, Su RP, Meng HH, Song YG, Li J. Different reference genomes determine different results: Comparing SNP calling in RAD-seq of Engelhardia roxburghiana using different reference genomes. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2024; 344:112109. [PMID: 38704094 DOI: 10.1016/j.plantsci.2024.112109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 04/23/2024] [Accepted: 04/30/2024] [Indexed: 05/06/2024]
Abstract
Advances in next-generation sequencing (NGS) have significantly reduced the cost and improved the efficiency of obtaining single nucleotide polymorphism (SNP) markers, particularly through restriction site-associated DNA sequencing (RAD-seq). Meanwhile, the progression in whole genome sequencing has led to the utilization of an increasing number of reference genomes in SNP calling processes. This study utilized RAD-seq data from 242 individuals of Engelhardia roxburghiana, a tropical tree of the walnut family (Juglandaceae), with SNP calling conducted using the STACKS pipeline. We aimed to compare both reference-based approaches, namely, employing a closely related species as the reference genome versus the species itself as the reference genome, to evaluate their respective merits and limitations. Our findings indicate a substantial discrepancy in the number of obtained SNPs between using a closely related species as opposed to the species itself as reference genomes, the former yielded approximately an order of magnitude fewer SNPs compared to the latter. While the missing rate of individuals and sites of the final SNPs obtained in the two scenarios showed no significant difference. The results showed that using the reference genome of the species itself tends to be prioritized in RAD-seq studies. However, if this is unavailable, considering closely related genomes is feasible due to their wide applicability and low missing rate as alternatives. This study contributes to enrich the understanding of the impact of SNP acquisition when utilizing different reference genomes.
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Affiliation(s)
- Pei-Han Huang
- Plant Phylogenetics and Conservation Group, Center for Integrative Conservation & Yunnan Key Laboratory for Conservation of Tropical Rainforests and Asian Elephants, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, China; Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tian-Rui Wang
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China; Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Min Li
- Plant Phylogenetics and Conservation Group, Center for Integrative Conservation & Yunnan Key Laboratory for Conservation of Tropical Rainforests and Asian Elephants, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ou-Yan Fang
- Plant Phylogenetics and Conservation Group, Center for Integrative Conservation & Yunnan Key Laboratory for Conservation of Tropical Rainforests and Asian Elephants, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ren-Ping Su
- Plant Phylogenetics and Conservation Group, Center for Integrative Conservation & Yunnan Key Laboratory for Conservation of Tropical Rainforests and Asian Elephants, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hong-Hu Meng
- Plant Phylogenetics and Conservation Group, Center for Integrative Conservation & Yunnan Key Laboratory for Conservation of Tropical Rainforests and Asian Elephants, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, China; Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Nay Pyi Taw 05282, Myanmar.
| | - Yi-Gang Song
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China.
| | - Jie Li
- Plant Phylogenetics and Conservation Group, Center for Integrative Conservation & Yunnan Key Laboratory for Conservation of Tropical Rainforests and Asian Elephants, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, China.
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Gómez-Palacio A, Morinaga G, Turner PE, Micieli MV, Elnour MAB, Salim B, Surendran SN, Ramasamy R, Powell JR, Soghigian J, Gloria-Soria A. Robustness in population-structure and demographic-inference results derived from the Aedes aegypti genotyping chip and whole-genome sequencing data. G3 (BETHESDA, MD.) 2024; 14:jkae082. [PMID: 38626295 PMCID: PMC11152066 DOI: 10.1093/g3journal/jkae082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 03/04/2024] [Accepted: 04/04/2024] [Indexed: 04/18/2024]
Abstract
The mosquito Aedes aegypti is the primary vector of many human arboviruses such as dengue, yellow fever, chikungunya, and Zika, which affect millions of people worldwide. Population genetic studies on this mosquito have been important in understanding its invasion pathways and success as a vector of human disease. The Axiom aegypti1 SNP chip was developed from a sample of geographically diverse A. aegypti populations to facilitate genomic studies on this species. We evaluate the utility of the Axiom aegypti1 SNP chip for population genetics and compare it with a low-depth shotgun sequencing approach using mosquitoes from the native (Africa) and invasive ranges (outside Africa). These analyses indicate that results from the SNP chip are highly reproducible and have a higher sensitivity to capture alternative alleles than a low-coverage whole-genome sequencing approach. Although the SNP chip suffers from ascertainment bias, results from population structure, ancestry, demographic, and phylogenetic analyses using the SNP chip were congruent with those derived from low-coverage whole-genome sequencing, and consistent with previous reports on Africa and outside Africa populations using microsatellites. More importantly, we identified a subset of SNPs that can be reliably used to generate merged databases, opening the door to combined analyses. We conclude that the Axiom aegypti1 SNP chip is a convenient, more accurate, low-cost alternative to low-depth whole-genome sequencing for population genetic studies of A. aegypti that do not rely on full allelic frequency spectra. Whole-genome sequencing and SNP chip data can be easily merged, extending the usefulness of both approaches.
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Affiliation(s)
- Andrés Gómez-Palacio
- Department of Entomology, Center for Vector Biology & Zoonotic Diseases, The Connecticut Agricultural Experiment Station, 123 Huntington St., New Haven, CT 06511, USA
- Laboratorio de Investigación en Genética Evolutiva, Universidad Pedagógica y Tecnológica de Colombia, Avenida Central del Norte 39-115, Boyacá 150003, Colombia
| | - Gen Morinaga
- Faculty of Veterinary Medicine, University of Calgary, 2500 University Drive NW., Calgary, AB 2TN 1N4, Canada
| | - Paul E Turner
- Department of Ecology and Evolutionary Biology, Yale University, 165 Prospect St., New Haven, CT 06511, USA
- Quantitative Biology Institute, Yale University, 260 Whitney Ave., New Haven, CT 06511, USA
| | - Maria Victoria Micieli
- Centro de Estudios Parasitológicos y de Vectores (CEPAVE), CONICET, Universidad Nacional de la Plata, Boulevard 120 s/n between Av. 60 and Calle 64, La Plata 1900, Argentina
| | - Mohammed-Ahmed B Elnour
- Department of Parasitology and Medical Entomology, Tropical Medicine Research Institute, National Center for Research, Khartoum 11111, Sudan
| | - Bashir Salim
- Faculty of Veterinary Medicine, Department of Parasitology, University of Khartoum, Khartoum North 11111, Sudan
- Camel Research Center, King Faisal University, P.O. Box. 400, Al-Ahsa 31982, Saudi Arabia
| | | | - Ranjan Ramasamy
- Department of Zoology, University of Jaffna, Jaffna 40000, Sri Lanka
| | - Jeffrey R Powell
- Department of Ecology and Evolutionary Biology, Yale University, 165 Prospect St., New Haven, CT 06511, USA
| | - John Soghigian
- Faculty of Veterinary Medicine, University of Calgary, 2500 University Drive NW., Calgary, AB 2TN 1N4, Canada
| | - Andrea Gloria-Soria
- Department of Entomology, Center for Vector Biology & Zoonotic Diseases, The Connecticut Agricultural Experiment Station, 123 Huntington St., New Haven, CT 06511, USA
- Department of Ecology and Evolutionary Biology, Yale University, 165 Prospect St., New Haven, CT 06511, USA
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Tung KF, Pan CY, Lin WC. Housekeeping protein-coding genes interrogated with tissue and individual variations. Sci Rep 2024; 14:12454. [PMID: 38816574 PMCID: PMC11139953 DOI: 10.1038/s41598-024-63269-4] [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: 03/18/2024] [Accepted: 05/27/2024] [Indexed: 06/01/2024] Open
Abstract
Housekeeping protein-coding genes are stably expressed genes in cells and tissues that are thought to be engaged in fundamental cellular biological functions. They are often utilized as normalization references in molecular biology research and are especially important in integrated bioinformatic investigations. Prior studies have examined human housekeeping protein-coding genes by analyzing various gene expression datasets. The inclusion of different tissue types significantly impacted the discovery of housekeeping genes. In this report, we investigated particularly individual human subject expression differences in protein-coding genes across different tissue types. We used GTEx V8 gene expression datasets obtained from more than 16,000 human normal tissue samples. Furthermore, the Gini index is utilized to investigate the expression variations of protein-coding genes between tissue and individual donor subjects. Housekeeping protein-coding genes found using Gini index profiles may vary depending on the tissue subtypes investigated, particularly given the diverse sample size collections across the GTEx tissue subtypes. We subsequently selected major tissues and identified subsets of housekeeping genes with stable expression levels among human donors within those tissues. In this work, we provide alternative sets of housekeeping protein-coding genes that show more consistent expression patterns in human subjects across major solid organs. Weblink: https://hpsv.ibms.sinica.edu.tw .
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Affiliation(s)
- Kuo-Feng Tung
- Institute of Biomedical Sciences, Academia Sinica, Taipei, 115, Taiwan, R.O.C
| | - Chao-Yu Pan
- Institute of Biomedical Sciences, Academia Sinica, Taipei, 115, Taiwan, R.O.C
| | - Wen-Chang Lin
- Institute of Biomedical Sciences, Academia Sinica, Taipei, 115, Taiwan, R.O.C..
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Wang D, Cheng B, Zhang J. High-density genetic map and quantitative trait loci map of skin color in hawthorn ( Crataegus pinnatifida bge. Var. major N.E.Br.). Front Genet 2024; 15:1405604. [PMID: 38873113 PMCID: PMC11169616 DOI: 10.3389/fgene.2024.1405604] [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: 03/23/2024] [Accepted: 05/09/2024] [Indexed: 06/15/2024] Open
Abstract
Fruit skin color is an important trait of the hawthorn tree, which has an important influence on fruit quality. Crataegus pinnatifida Bge. var. Major N.E.Br. Is one of the most widely cultivated varieties in China and has a long history of medicinal use. In recent years, it has attracted the attention of the world due to its nutritional and medicinal values. Skin color is the focus of breeders and food processors. At present, skin color-related genes have still not been mapped. In this study, "Shandong Da Mianqiu" (♀, red skin color), "Da Huang Mianzha" (♂, yellow skin color) and 131 F1 hybrids were used to construct genetic map of hawthorn by RAD-seq, and QTL mapping was performed by combining these features with the hue angle and the observed color. In this study, 13,260 SNP was assigned to 17 linkage groups, with an integrated map covering 2,297.75 cM was constructed. A total of 5 QTLs related to hawthorn skin color were detected on LG1, LG3 and LG15. Whether hue angle or pericarp color acts as phenotype for QTL mapping, the candidate genes include bHLH086, WD repeat regions and Myb-like. bHLH, WD and Myb play an important role in the color regulation of Hawthorn skin color. These results lay a solid foundation for QTL mapping and molecular marker-assisted breeding of hawthorn.
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Affiliation(s)
- Dongsheng Wang
- Engineering Research Center of Chestnut Industry Technology, Ministry of Education, Hebei Normal University of Science and Technology, Qinhuangdao, China
| | - Beibei Cheng
- College of Horticulture Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao, China
- Hebei Key Laboratory of Horticultural Germplasm Excavation and Innovative Utilization, Qinhuangdao, China
- Hebei Higher Institute Application Technology Research and Development Center of Horticultural Plant Biological Breeding, Qinhuangdao, China
| | - Jijun Zhang
- College of Horticulture Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao, China
- Hebei Key Laboratory of Horticultural Germplasm Excavation and Innovative Utilization, Qinhuangdao, China
- Hebei Higher Institute Application Technology Research and Development Center of Horticultural Plant Biological Breeding, Qinhuangdao, China
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Kazilas C, Dufresnes C, France J, Kalaentzis K, Martínez-Solano I, de Visser MC, Arntzen JW, Wielstra B. Spatial genetic structure in European marbled newts revealed with target enrichment by sequence capture. Mol Phylogenet Evol 2024; 194:108043. [PMID: 38382821 DOI: 10.1016/j.ympev.2024.108043] [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: 09/05/2023] [Revised: 12/21/2023] [Accepted: 02/18/2024] [Indexed: 02/23/2024]
Abstract
European marbled newts come in two species that have abutting ranges. The northern species, Triturus marmoratus, is found in France and the northern part of the Iberian Peninsula, whereas the southern species, T. pygmaeus, is found in the southwestern corner of the Iberian Peninsula. We study the intraspecific genetic differentiation of the group because morphological data show geographical variation and because the Iberian Peninsula is a recognized center of speciation and intraspecific genetic diversity for all kinds of organisms, amphibians included. We use target enrichment by sequence capture to generate c. 7 k nuclear DNA markers. We observe limited genetic exchange between the species, which confirms their distinctiveness. Both species show substantial genetic structuring that is only in part mirrored by morphological variation. Genetically differentiated groups are found in the south (T. marmoratus) and west (T. pygmaeus) of the species ranges. Our observations highlight the position of the Iberian Peninsula as a hotspot for genetic differentiation.
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Affiliation(s)
- Christos Kazilas
- Naturalis Biodiversity Center, P.O. Box 9517, 2300 RA Leiden, The Netherlands; Institute of Biology Leiden, Leiden University, P.O. Box 9505, 2300 RA Leiden, The Netherlands.
| | - Christophe Dufresnes
- LASER, College of Biology and the Environment, Nanjing Forestry University, Nanjing, People's Republic of China; Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, Paris, France
| | - James France
- Naturalis Biodiversity Center, P.O. Box 9517, 2300 RA Leiden, The Netherlands; Institute of Biology Leiden, Leiden University, P.O. Box 9505, 2300 RA Leiden, The Netherlands
| | - Konstantinos Kalaentzis
- Naturalis Biodiversity Center, P.O. Box 9517, 2300 RA Leiden, The Netherlands; Institute of Biology Leiden, Leiden University, P.O. Box 9505, 2300 RA Leiden, The Netherlands
| | - Iñigo Martínez-Solano
- Museo Nacional de Ciencias Naturales, MNCN-CSIC, c/ José Gutiérrez Abascal 2, 28006 Madrid, Spain
| | - Manon C de Visser
- Naturalis Biodiversity Center, P.O. Box 9517, 2300 RA Leiden, The Netherlands; Institute of Biology Leiden, Leiden University, P.O. Box 9505, 2300 RA Leiden, The Netherlands
| | - Jan W Arntzen
- Naturalis Biodiversity Center, P.O. Box 9517, 2300 RA Leiden, The Netherlands; Institute of Biology Leiden, Leiden University, P.O. Box 9505, 2300 RA Leiden, The Netherlands
| | - Ben Wielstra
- Naturalis Biodiversity Center, P.O. Box 9517, 2300 RA Leiden, The Netherlands; Institute of Biology Leiden, Leiden University, P.O. Box 9505, 2300 RA Leiden, The Netherlands
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Cho S, Shin E, Park YG, Choi SH, Choe EK, Bae JH, Lee JE, Lee SD. A novel approach of kinship determination based on the physical length of genetically shared regions of chromosomes. Genes Genomics 2024; 46:577-587. [PMID: 38180716 PMCID: PMC11024047 DOI: 10.1007/s13258-023-01485-4] [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: 10/24/2023] [Accepted: 12/17/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND Determination of genetic relatedness between individuals plays a crucial role in resolving numerous civil cases involving familial relationships and in forensic investigation concerning missing persons. Short tandem repeats (STRs), known for their high degree of DNA polymorphism, have traditionally been the primary choice of DNA markers in genetic testing, but their application for kinships testing is limited to cases involving close kinship. SNPs have emerged as promising supplementary markers for kinship determination. Nevertheless, the challenging remains in discriminating between third-degree or more distant relatives, such as first cousins, using SNPs. OBJECTIVE To investigate a kinship analysis method for distant degree of familial relationships using high-density SNP data. METHODS A high-density SNP data from 337 individuals of Korean families using Affymetrix Axiom KORV1.0-96 Array was obtained for this study. SNPs were aligned by chromosomal positions, and identity-by-state (IBS) was determined, and then shared regions as consecutive SNPs with IBS of 1 or 2 were investigated. The physical lengths of these IBS segments were measured and summed them to create an Index, as a measure of kinship. RESULTS The kinship was determined by the physical length of shared chromosomal regions that are distinguished by each kinship. Using this method, the relationship was able be distinguished up to the fourth degree of kinship, and non-relatives were clearly distinguished from true relatives. We also found a potential for this approach to be used universally, regardless of microarray platforms for SNP genotyping and populations. CONCLUSION This method has a potential to determine the different degree of kinship between individuals and to distinguish non-relatives from true relatives, which can be of great help for practical applications in kinship determination.
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Affiliation(s)
- Sohee Cho
- Institute of Forensic and Anthropological Science, Seoul National University Medical Research Center, Seoul, South Korea
| | | | | | - Seung Ho Choi
- Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea
| | - Eun Kyung Choe
- Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea
| | - Jung Ho Bae
- Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea
| | | | - Soong Deok Lee
- Institute of Forensic and Anthropological Science, Seoul National University Medical Research Center, Seoul, South Korea.
- Department of Forensic Medicine, Seoul National University College of Medicine, Seoul, South Korea.
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Pal L, Sandhu SK, Kaur J, Bhatia D. Deciphering variations, identification of marker-trait associations and candidate genes for seed oil content under terminal heat stress in Indian mustard ( Brassica juncea L. Czern & Coss) germplasm stock. 3 Biotech 2024; 14:140. [PMID: 38689736 PMCID: PMC11056352 DOI: 10.1007/s13205-024-03985-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 04/03/2024] [Indexed: 05/02/2024] Open
Abstract
This research paper investigates the variability in seed oil content (SOC) in Indian mustard (Brassica juncea L.) under terminal heat stress (THS) conditions. A genetic stock of 488 genotypes of B. juncea was evaluated over two years and grouped into five classes based on the reduction in oil content under THS compared to normal sown crop. Based on heat susceptibility index (HSI), a diverse panel of 96 genotypes was selected and evaluated under THS. Twenty-two heat-tolerant donor genotypes were identified, including introgression lines derived from B. tournefortii, B. carinata and Erucastrum cardaminoides. This study is the first to report on marker-trait associations for SOC in B. juncea under THS using a GWAS approach. Furthermore, candidate genes associated with abiotic stress tolerance and lipid metabolism were identified near the significant SNPs, emphasizing their role in SOC regulation under stress. Notable candidate genes include BjuA003240 (encoding for alcohol-forming fatty acyl-CoA reductase), BjuA003242 (involving in lipid biosynthesis), BjuA003244 (associated with mitochondrial functions and stress tolerance), and BjuA003245 (related to MYB transcription factors regulating lipid biosynthesis). This study provides valuable insights into the genetic basis of SOC variation under THS in B. juncea, highlighting potential breeding targets for improved heat stress resilience in Indian mustard cultivation. Supplementary Information The online version contains supplementary material available at 10.1007/s13205-024-03985-w.
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Affiliation(s)
- Lalit Pal
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141 004 Punjab India
| | - Surinder K. Sandhu
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141 004 Punjab India
| | - Jasneet Kaur
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141 004 Punjab India
| | - Dharminder Bhatia
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141 004 Punjab India
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Paterson AH, Queitsch C. Genome organization and botanical diversity. THE PLANT CELL 2024; 36:1186-1204. [PMID: 38382084 PMCID: PMC11062460 DOI: 10.1093/plcell/koae045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 02/07/2024] [Accepted: 02/07/2024] [Indexed: 02/23/2024]
Abstract
The rich diversity of angiosperms, both the planet's dominant flora and the cornerstone of agriculture, is integrally intertwined with a distinctive evolutionary history. Here, we explore the interplay between angiosperm genome organization and botanical diversity, empowered by genomic approaches ranging from genetic linkage mapping to analysis of gene regulation. Commonality in the genetic hardware of plants has enabled robust comparative genomics that has provided a broad picture of angiosperm evolution and implicated both general processes and specific elements in contributing to botanical diversity. We argue that the hardware of plant genomes-both in content and in dynamics-has been shaped by selection for rather substantial differences in gene regulation between plants and animals such as maize and human, organisms of comparable genome size and gene number. Their distinctive genome content and dynamics may reflect in part the indeterminate development of plants that puts strikingly different demands on gene regulation than in animals. Repeated polyploidization of plant genomes and multiplication of individual genes together with extensive rearrangement and differential retention provide rich raw material for selection of morphological and/or physiological variations conferring fitness in specific niches, whether natural or artificial. These findings exemplify the burgeoning information available to employ in increasing knowledge of plant biology and in modifying selected plants to better meet human needs.
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Affiliation(s)
- Andrew H Paterson
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA, USA
| | - Christine Queitsch
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
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Wang X, Wang J, Xia X, Xu X, Li L, Cao S, Hao Y, Zhang L. Effect of genotyping errors on linkage map construction based on repeated chip analysis of two recombinant inbred line populations in wheat (Triticum aestivum L.). BMC PLANT BIOLOGY 2024; 24:306. [PMID: 38644480 PMCID: PMC11034145 DOI: 10.1186/s12870-024-05005-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 04/10/2024] [Indexed: 04/23/2024]
Abstract
Linkage maps are essential for genetic mapping of phenotypic traits, gene map-based cloning, and marker-assisted selection in breeding applications. Construction of a high-quality saturated map requires high-quality genotypic data on a large number of molecular markers. Errors in genotyping cannot be completely avoided, no matter what platform is used. When genotyping error reaches a threshold level, it will seriously affect the accuracy of the constructed map and the reliability of consequent genetic studies. In this study, repeated genotyping of two recombinant inbred line (RIL) populations derived from crosses Yangxiaomai × Zhongyou 9507 and Jingshuang 16 × Bainong 64 was used to investigate the effect of genotyping errors on linkage map construction. Inconsistent data points between the two replications were regarded as genotyping errors, which were classified into three types. Genotyping errors were treated as missing values, and therefore the non-erroneous data set was generated. Firstly, linkage maps were constructed using the two replicates as well as the non-erroneous data set. Secondly, error correction methods implemented in software packages QTL IciMapping (EC) and Genotype-Corrector (GC) were applied to the two replicates. Linkage maps were therefore constructed based on the corrected genotypes and then compared with those from the non-erroneous data set. Simulation study was performed by considering different levels of genotyping errors to investigate the impact of errors and the accuracy of error correction methods. Results indicated that map length and marker order differed among the two replicates and the non-erroneous data sets in both RIL populations. For both actual and simulated populations, map length was expanded as the increase in error rate, and the correlation coefficient between linkage and physical maps became lower. Map quality can be improved by repeated genotyping and error correction algorithm. When it is impossible to genotype the whole mapping population repeatedly, 30% would be recommended in repeated genotyping. The EC method had a much lower false positive rate than did the GC method under different error rates. This study systematically expounded the impact of genotyping errors on linkage analysis, providing potential guidelines for improving the accuracy of linkage maps in the presence of genotyping errors.
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Affiliation(s)
- Xinru Wang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Jiankang Wang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Xianchun Xia
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Xiaowan Xu
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Lingli Li
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Shuanghe Cao
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
| | - Yuanfeng Hao
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
| | - Luyan Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
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Garcia CB, da Silva AV, de Carvalho IAS, do Nascimento WF, Ramos SLF, Rodrigues DP, Zucchi MI, Costa FM, Alves-Pereira A, Batista CEDA, Amaral DD, Veasey EA. Low Diversity and High Genetic Structure for Platonia insignis Mart., an Endangered Fruit Tree Species. PLANTS (BASEL, SWITZERLAND) 2024; 13:1033. [PMID: 38611562 PMCID: PMC11013813 DOI: 10.3390/plants13071033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 02/17/2024] [Accepted: 03/06/2024] [Indexed: 04/14/2024]
Abstract
Platonia insignis is a fruit tree native to Brazil of increasing economic importance, with its pulp trading among the highest market values. This study aimed to evaluate the structure and genomic diversity of P. insignis (bacurizeiro) accessions from six locations in the Brazilian States of Roraima, Amazonas, Pará (Amazon biome), and Maranhão (Cerrado biome). A total of 2031 SNP markers were obtained using genotyping-by-sequencing (GBS), from which 625 outlier SNPs were identified. High genetic structure was observed, with most of the genetic variability (59%) concentrated among locations, mainly between biomes (Amazon and Cerrado). A positive and significant correlation (r = 0.85; p < 0.005) was detected between genetic and geographic distances, indicating isolation by distance. The highest genetic diversity was observed for the location in the Cerrado biome (HE = 0.1746; HO = 0.2078). The locations in the Amazon biome showed low genetic diversity indexes with significant levels of inbreeding. The advance of urban areas, events of burning, and expansion of agricultural activities are most probably the main factors for the genetic diversity reduction of P. insignis. Approaches to functional analysis showed that most of the outlier loci found may be related to genes involved in cellular and metabolic processes.
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Affiliation(s)
- Caroline Bertocco Garcia
- Genetics Department, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, SP, Brazil
| | - Allison Vieira da Silva
- Genetics Department, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, SP, Brazil
| | | | | | | | | | | | - Flaviane Malaquias Costa
- Genetics Department, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, SP, Brazil
| | | | | | | | - Elizabeth Ann Veasey
- Genetics Department, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, SP, Brazil
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11
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Maier PA, Vandergast AG, Bohonak AJ. Yosemite toad (Anaxyrus canorus) transcriptome reveals interplay between speciation genes and adaptive introgression. Mol Ecol 2024; 33:e17317. [PMID: 38488670 DOI: 10.1111/mec.17317] [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: 05/11/2023] [Revised: 02/15/2024] [Accepted: 02/23/2024] [Indexed: 04/09/2024]
Abstract
Genomes are heterogeneous during the early stages of speciation, with small 'islands' of DNA appearing to reflect strong adaptive differences, surrounded by vast seas of relative homogeneity. As species diverge, secondary contact zones between them can act as an interface and selectively filter through advantageous alleles of hybrid origin. Such introgression is another important adaptive process, one that allows beneficial mosaics of recombinant DNA ('rivers') to flow from one species into another. Although genomic islands of divergence appear to be associated with reproductive isolation, and genomic rivers form by adaptive introgression, it is unknown whether islands and rivers tend to be the same or different loci. We examined three replicate secondary contact zones for the Yosemite toad (Anaxyrus canorus) using two genomic data sets and a morphometric data set to answer the questions: (1) How predictably different are islands and rivers, both in terms of genomic location and gene function? (2) Are the adaptive genetic trait loci underlying tadpole growth and development reliably islands, rivers or neither? We found that island and river loci have significant overlap within a contact zone, suggesting that some loci are first islands, and later are predictably converted into rivers. However, gene ontology enrichment analysis showed strong overlap in gene function unique to all island loci, suggesting predictability in overall gene pathways for islands. Genome-wide association study outliers for tadpole development included LPIN3, a lipid metabolism gene potentially involved in climate change adaptation, that is island-like for all three contact zones, but also appears to be introgressing (as a river) across one zone. Taken together, our results suggest that adaptive divergence and introgression may be more complementary forces than currently appreciated.
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Affiliation(s)
- Paul A Maier
- Department of Biology, San Diego State University, San Diego, California, USA
- Family TreeDNA, Gene by Gene, Houston, Texas, USA
| | - Amy G Vandergast
- Western Ecological Research Center, San Diego Field Station, U.S. Geological Survey, San Diego, California, USA
| | - Andrew J Bohonak
- Department of Biology, San Diego State University, San Diego, California, USA
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12
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Viana MC, Alves-Pereira A, Oliveira MAP, Valença-Barbosa C, Folly-Ramos E, Souza AP, Takiya DM, Almeida CE. Population genetics and genomics of Triatoma brasiliensis (Hemiptera, Reduviidae) in an area of high pressure of domiciliary infestation in Northeastern Brazil. Acta Trop 2024; 252:107144. [PMID: 38336343 DOI: 10.1016/j.actatropica.2024.107144] [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: 11/28/2023] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 02/12/2024]
Abstract
Understanding the population dynamics of vectors is crucial for effective control of vector-borne diseases. In the Northeastern Brazilian semi-arid region, Triatoma brasiliensis persists as the most significant Chagas disease vector, frequently displaying recurrent domiciliary infestations. This situation raises relevant public health concerns in the municipality of Currais Novos in the state of Rio Grande do Norte. This area has experienced a high prevalence of peridomiciliary re-infestations by T. brasiliensis, coupled with elevated rates of Trypanosoma cruzi infection. Therefore, we assessed the distribution of genetic variation via mitochondrial Cytochrome b gene (MT-CYB) sequencing (n = 109) and single nucleotide polymorphisms (SNPs, n = 86) to assess the gene flow among distinct populations distributed in varied geographic spots and environments, mainly sylvatic and peridomiciliary. Insects were collected from rural communities at Currais Novos, enclosed within a 16 km radius. Sampling included 13 populations: one intradomiciliary, eight peridomiciliary, and four sylvatic. Furthermore, an external population located 220 km from Currais Novos was also included in the study. The method employed to obtain SNP information relied on ddRAD-seq genotyping-by-sequencing (GBS), enabling a genome-wide analysis to infer genetic variation. Through AMOVA analysis of MT-CYB gene variation, we identified four distinct population groups with statistical significance (FCT= 0.42; p<0.05). We identified a total of 3,013 SNPs through GBS, with 11 loci showing putative signs of being under selection. The variation based on 3,002 neutral loci evidenced low genetic structuration based on low FST values (p>0.05), indicating local panmixia. However, resampling algorithms pointed out that three samples from the external population were assigned (>98 %) in a cluster contrasting from the ones putatively under local panmixia - validating the newly applied genome-wide marker for studies on the population genetics at finer-scale resolution for T. brasiliensis. The presence of population structuring in some of the sampled points, as suggested by the mitochondrial marker, leads us to assume that infestations were probably initiated by small populations of females - demographic event poses a risk for rapid re-infestations. The local panmictic pattern revealed by the GBS marker poses a challenge for vector control measures, as re-infestation foci may be distributed over a wide geographical and ecological range. In such instances, vectors exhibit reduced susceptibility to conventional insecticide spraying operations since sylvatic populations are beyond the reach of these interventions. The pattern of infestation exhibited by T. brasiliensis necessitates integrating innovative strategies into the existing control framework, holding the potential to create a more resilient and adaptive vector control program. In our dataset, the results demonstrated that the genetic signals from both markers were complementary. Therefore, it is essential to consider the nature and inheritance pattern of each marker when inferring the pattern of re-infestations.
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Affiliation(s)
- Maria Carolina Viana
- Instituto de Biologia (IB), Universidade de Campinas - UNICAMP, Campinas, Brazil; Programa de Pós-Graduação em Genética e Biologia Molecular, IB, UNICAMP; Coordenação de Prevenção e Vigilância do Câncer (CONPREV), Instituto Nacional de Câncer, Rio de Janeiro, Brazil
| | | | - Marcelo A P Oliveira
- Programa de Pós-Graduação em Genética- IB, Universidade Federal do Rio de Janeiro - UFRJ, Rio de Janeiro, Brazil
| | - Carolina Valença-Barbosa
- Instituto de Biologia (IB), Universidade de Campinas - UNICAMP, Campinas, Brazil; Grupo Triatomíneos, Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Fiocruz, Brazil
| | | | | | | | - Carlos E Almeida
- Instituto de Biologia (IB), Universidade de Campinas - UNICAMP, Campinas, Brazil; Programa de Pós-Graduação em Genética e Biologia Molecular, IB, UNICAMP; Laboratorio de Entomologia, Instituto de Biologia, UFRJ.
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13
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Xie K, Ning C, Yang A, Zhang Q, Wang D, Fan X. Resequencing Analyses Revealed Genetic Diversity and Selection Signatures during Rabbit Breeding and Improvement. Genes (Basel) 2024; 15:433. [PMID: 38674368 PMCID: PMC11049387 DOI: 10.3390/genes15040433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 03/23/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Domestication has shaped the diverse characteristics of rabbits, including coat color, fur structure, body size, and various physiological traits. Utilizing whole-genome resequencing (DNBSEQ-T7), we analyzed the genetic diversity, population structure, and genomic selection across 180 rabbits from 17 distinct breeds to uncover the genetic basis of these traits. We conducted whole-genome sequencing on 17 rabbit breeds, identifying 17,430,184 high-quality SNPs and analyzing genomic diversity, patterns of genomic variation, population structure, and selection signatures related to coat color, coat structure, long hair, body size, reproductive capacity, and disease resistance. Through PCA and NJ tree analyses, distinct clusters emerged among Chinese indigenous rabbits, suggesting varied origins and domestication histories. Selective sweep testing pinpointed regions and genes linked to domestication and key morphological and economic traits, including those affecting coat color (TYR, ASIP), structure (LIPH), body size (INSIG2, GLI3), fertility (EDNRA, SRD5A2), heat stress adaptation (PLCB1), and immune response (SEC31A, CD86, LAP3). Our study identified key genomic signatures of selection related to traits such as coat color, fur structure, body size, and fertility; these findings highlight the genetic basis underlying phenotypic diversification in rabbits and have implications for breeding programs aiming to improve productive, reproductive, and adaptive traits. The detected genomic signatures of selection also provide insights into rabbit domestication and can aid conservation efforts for indigenous breeds.
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Affiliation(s)
- Kerui Xie
- College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an 271018, China;
| | - Chao Ning
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China; (C.N.); (Q.Z.)
| | - Aiguo Yang
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China; (C.N.); (Q.Z.)
| | - Qin Zhang
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China; (C.N.); (Q.Z.)
| | - Dan Wang
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an 271018, China
| | - Xinzhong Fan
- College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an 271018, China;
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14
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Aguirre NC, Villalba PV, García MN, Filippi CV, Rivas JG, Martínez MC, Acuña CV, López AJ, López JA, Pathauer P, Palazzini D, Harrand L, Oberschelp J, Marcó MA, Cisneros EF, Carreras R, Martins Alves AM, Rodrigues JC, Hopp HE, Grattapaglia D, Cappa EP, Paniego NB, Marcucci Poltri SN. Comparison of ddRADseq and EUChip60K SNP genotyping systems for population genetics and genomic selection in Eucalyptus dunnii (Maiden). Front Genet 2024; 15:1361418. [PMID: 38606359 PMCID: PMC11008695 DOI: 10.3389/fgene.2024.1361418] [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: 12/26/2023] [Accepted: 02/19/2024] [Indexed: 04/13/2024] Open
Abstract
Eucalyptus dunnii is one of the most important Eucalyptus species for short-fiber pulp production in regions where other species of the genus are affected by poor soil and climatic conditions. In this context, E. dunnii holds promise as a resource to address and adapt to the challenges of climate change. Despite its rapid growth and favorable wood properties for solid wood products, the advancement of its improvement remains in its early stages. In this work, we evaluated the performance of two single nucleotide polymorphism, (SNP), genotyping methods for population genetics analysis and Genomic Selection in E. dunnii. Double digest restriction-site associated DNA sequencing (ddRADseq) was compared with the EUChip60K array in 308 individuals from a provenance-progeny trial. The compared SNP set included 8,011 and 19,008 informative SNPs distributed along the 11 chromosomes, respectively. Although the two datasets differed in the percentage of missing data, genome coverage, minor allele frequency and estimated genetic diversity parameters, they revealed a similar genetic structure, showing two subpopulations with little differentiation between them, and low linkage disequilibrium. GS analyses were performed for eleven traits using Genomic Best Linear Unbiased Prediction (GBLUP) and a conventional pedigree-based model (ABLUP). Regardless of the SNP dataset, the predictive ability (PA) of GBLUP was better than that of ABLUP for six traits (Cellulose content, Total and Ethanolic extractives, Total and Klason lignin content and Syringyl and Guaiacyl lignin monomer ratio). When contrasting the SNP datasets used to estimate PAs, the GBLUP-EUChip60K model gave higher and significant PA values for six traits, meanwhile, the values estimated using ddRADseq gave higher values for three other traits. The PAs correlated positively with narrow sense heritabilities, with the highest correlations shown by the ABLUP and GBLUP-EUChip60K. The two genotyping methods, ddRADseq and EUChip60K, are generally comparable for population genetics and genomic prediction, demonstrating the utility of the former when subjected to rigorous SNP filtering. The results of this study provide a basis for future whole-genome studies using ddRADseq in non-model forest species for which SNP arrays have not yet been developed.
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Affiliation(s)
| | | | - Martín Nahuel García
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
| | - Carla Valeria Filippi
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
- Laboratorio de Bioquímica, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay
| | - Juan Gabriel Rivas
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
| | - María Carolina Martínez
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
| | - Cintia Vanesa Acuña
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
| | - Augusto J. López
- Estación Experimental Agropecuaria de Bella Vista, Instituto Nacional de Tecnología Agropecuaria, Bella Vista, Argentina
| | - Juan Adolfo López
- Estación Experimental Agropecuaria de Bella Vista, Instituto Nacional de Tecnología Agropecuaria, Bella Vista, Argentina
| | - Pablo Pathauer
- Instituto de Recursos Biológicos, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Argentina
| | - Dino Palazzini
- Instituto de Recursos Biológicos, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Argentina
| | - Leonel Harrand
- Estación Experimental Agropecuaria de Concordia, Instituto Nacional de Tecnología Agropecuaria, Concordia, Argentina
| | - Javier Oberschelp
- Estación Experimental Agropecuaria de Concordia, Instituto Nacional de Tecnología Agropecuaria, Concordia, Argentina
| | - Martín Alberto Marcó
- Estación Experimental Agropecuaria de Concordia, Instituto Nacional de Tecnología Agropecuaria, Concordia, Argentina
| | - Esteban Felipe Cisneros
- Facultad de Ciencias Forestales, Universidad Nacional de Santiago del Estero (UNSE), Santiago del Estero, Argentina
| | - Rocío Carreras
- Facultad de Ciencias Forestales, Universidad Nacional de Santiago del Estero (UNSE), Santiago del Estero, Argentina
| | - Ana Maria Martins Alves
- Centro de Estudos Florestais e Laboratório Associado TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, Lisboa, Portugal
| | - José Carlos Rodrigues
- Centro de Estudos Florestais e Laboratório Associado TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, Lisboa, Portugal
| | - H. Esteban Hopp
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
| | - Dario Grattapaglia
- Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Recursos Genéticos e Biotecnologia, Brasilia, Brazil
| | - Eduardo Pablo Cappa
- Instituto de Recursos Biológicos, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Norma Beatriz Paniego
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
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15
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Raggi L, Caproni L, Ciancaleoni S, D'Amato R, Businelli D, Negri V. Investigating the genetic basis of salt-tolerance in common bean: a genome-wide association study at the early vegetative stage. Sci Rep 2024; 14:5315. [PMID: 38438439 PMCID: PMC10912697 DOI: 10.1038/s41598-024-55403-z] [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: 07/06/2023] [Accepted: 02/22/2024] [Indexed: 03/06/2024] Open
Abstract
Salinity poses a significant challenge to global crop productivity, affecting approximately 20% of cultivated and 33% of irrigated farmland, and this issue is on the rise. Negative impact of salinity on plant development and metabolism leads to physiological and morphological alterations mainly due to high ion concentration in tissues and the reduced water and nutrients uptake. Common bean (Phaseolus vulgaris L.), a staple food crop accounting for a substantial portion of consumed grain legumes worldwide, is highly susceptible to salt stress resulting in noticeable reduction in dry matter gain in roots and shoots even at low salt concentrations. In this study we screened a common bean panel of diversity encompassing 192 homozygous genotypes for salt tolerance at seedling stage. Phenotypic data were leveraged to identify genomic regions involved in salt stress tolerance in the species through GWAS. We detected seven significant associations between shoot dry weight and SNP markers. The candidate genes, in linkage with the regions associated to salt tolerance or harbouring the detected SNP, showed strong homology with genes known to be involved in salt tolerance in Arabidopsis. Our findings provide valuable insights onto the genetic control of salt tolerance in common bean and represent a first contribution to address the challenge of salinity-induced yield losses in this species and poses the ground to eventually breed salt tolerant common bean varieties.
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Affiliation(s)
- Lorenzo Raggi
- Dipartimento di Scienze Agrarie Alimentari e Ambientali (DSA3), Università degli Studi di Perugia, Perugia, Italy.
| | - Leonardo Caproni
- Dipartimento di Scienze Agrarie Alimentari e Ambientali (DSA3), Università degli Studi di Perugia, Perugia, Italy
- Center of Plant Sciences, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Simona Ciancaleoni
- Dipartimento di Scienze Agrarie Alimentari e Ambientali (DSA3), Università degli Studi di Perugia, Perugia, Italy
| | - Roberto D'Amato
- Dipartimento di Scienze Agrarie Alimentari e Ambientali (DSA3), Università degli Studi di Perugia, Perugia, Italy
| | - Daniela Businelli
- Dipartimento di Scienze Agrarie Alimentari e Ambientali (DSA3), Università degli Studi di Perugia, Perugia, Italy
| | - Valeria Negri
- Dipartimento di Scienze Agrarie Alimentari e Ambientali (DSA3), Università degli Studi di Perugia, Perugia, Italy
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16
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Salter JF, Brumfield RT, Faircloth BC. An island 'endemic' born out of hybridization between introduced lineages. Mol Ecol 2024; 33:e16990. [PMID: 37208829 DOI: 10.1111/mec.16990] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 04/06/2023] [Accepted: 05/04/2023] [Indexed: 05/21/2023]
Abstract
Humans have profoundly impacted the distribution of plant and animal species over thousands of years. The most direct example of these effects is human-mediated movement of individuals, either through translocation of individuals within their range or through the introduction of species to new habitats. While human involvement may be suspected in species with obvious range disjunctions, it can be difficult to detect natural versus human-mediated dispersal events for populations at the edge of a species' range, and this uncertainty muddles how we understand the evolutionary history of populations and broad biogeographical patterns. Studies combining genetic data with archaeological, linguistic and historical evidence have confirmed prehistoric examples of human-mediated dispersal; however, it is unclear whether these methods can disentangle recent dispersal events, such as species translocated by European colonizers during the past 500 years. We use genomic DNA from historical museum specimens and historical records to evaluate three hypotheses regarding the timing and origin of Northern Bobwhites (Colinus virginianus) in Cuba, whose status as an endemic or introduced population has long been debated. We discovered that bobwhites from southern Mexico arrived in Cuba between the 12th and 16th centuries, followed by the subsequent introduction of bobwhites from the southeastern USA to Cuba between the 18th and 20th centuries. These dates suggest the introduction of bobwhites to Cuba was human-mediated and concomitant with Spanish colonial shipping routes between Veracruz, Mexico and Havana, Cuba during this period. Our results identify endemic Cuban bobwhites as a genetically distinct population born of hybridization between divergent, introduced lineages.
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Affiliation(s)
- Jessie F Salter
- Museum of Natural Science and Department of Biological Sciences, Louisiana State University, Louisiana, Baton Rouge, USA
| | - Robb T Brumfield
- Museum of Natural Science and Department of Biological Sciences, Louisiana State University, Louisiana, Baton Rouge, USA
| | - Brant C Faircloth
- Museum of Natural Science and Department of Biological Sciences, Louisiana State University, Louisiana, Baton Rouge, USA
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17
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Selmoni O, Bay LK, Exposito-Alonso M, Cleves PA. Finding genes and pathways that underlie coral adaptation. Trends Genet 2024; 40:213-227. [PMID: 38320882 DOI: 10.1016/j.tig.2024.01.003] [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: 10/09/2023] [Revised: 01/08/2024] [Accepted: 01/10/2024] [Indexed: 02/08/2024]
Abstract
Mass coral bleaching is one of the clearest threats of climate change to the persistence of marine biodiversity. Despite the negative impacts of bleaching on coral health and survival, some corals may be able to rapidly adapt to warming ocean temperatures. Thus, a significant focus in coral research is identifying the genes and pathways underlying coral heat adaptation. Here, we review state-of-the-art methods that may enable the discovery of heat-adaptive loci in corals and identify four main knowledge gaps. To fill these gaps, we describe an experimental approach combining seascape genomics with CRISPR/Cas9 gene editing to discover and validate heat-adaptive loci. Finally, we discuss how information on adaptive genotypes could be used in coral reef conservation and management strategies.
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Affiliation(s)
- Oliver Selmoni
- Department of Embryology, Carnegie Institution for Science, Baltimore, MD 21218, USA; Department of Plant Biology, Carnegie Institution for Science, Stanford, CA 94305, USA.
| | - Line K Bay
- Reef Recovery, Adaptation, and Restoration, Australian Institute of Marine Science; Townsville, QLD 4810, Australia
| | - Moises Exposito-Alonso
- Department of Plant Biology, Carnegie Institution for Science, Stanford, CA 94305, USA; Department of Biology, Stanford University, Stanford, CA 94305, USA; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, USA.
| | - Phillip A Cleves
- Department of Embryology, Carnegie Institution for Science, Baltimore, MD 21218, USA; Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA.
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18
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Jiao X, Wu L, Zhang D, Wang H, Dong F, Yang L, Wang S, Amano HE, Zhang W, Jia C, Rheindt FE, Lei F, Song G. Landscape Heterogeneity Explains the Genetic Differentiation of a Forest Bird across the Sino-Himalayan Mountains. Mol Biol Evol 2024; 41:msae027. [PMID: 38318973 PMCID: PMC10919924 DOI: 10.1093/molbev/msae027] [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: 06/05/2023] [Revised: 01/26/2024] [Accepted: 01/31/2024] [Indexed: 02/07/2024] Open
Abstract
Mountains are the world's most important centers of biodiversity. The Sino-Himalayan Mountains are global biodiversity hotspot due to their extremely high species richness and endemicity. Ample research investigated the impact of the Qinghai-Tibet Plateau uplift and Quaternary glaciations in driving species diversification in plants and animals across the Sino-Himalayan Mountains. However, little is known about the role of landscape heterogeneity and other environmental features in driving diversification in this region. We utilized whole genomes and phenotypic data in combination with landscape genetic approaches to investigate population structure, demography, and genetic diversity in a forest songbird species native to the Sino-Himalayan Mountains, the red-billed leiothrix (Leiothrix lutea). We identified 5 phylogeographic clades, including 1 in the East of China, 1 in Yunnan, and 3 in Tibet, roughly consistent with differences in song and plumage coloration but incongruent with traditional subspecies boundaries. Isolation-by-resistance model best explained population differentiation within L. lutea, with extensive secondary contact after allopatric isolation leading to admixture among clades. Ecological niche modeling indicated relative stability in the extent of suitable distribution areas of the species across Quaternary glacial cycles. Our results underscore the importance of mountains in the diversification of this species, given that most of the distinct genetic clades are concentrated in a relatively small area in the Sino-Himalayan Mountain region, while a single shallow clade populates vast lower-lying areas to the east. This study highlights the crucial role of landscape heterogeneity in promoting differentiation and provides a deep genomic perspective on the mechanisms through which diversity hotspots form.
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Affiliation(s)
- Xiaolu Jiao
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Lei Wu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Dezhi Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Huan Wang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Feng Dong
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Le Yang
- Tibet Plateau Institute of Biology, Lhasa 850000, China
| | - Shangyu Wang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | | | - Weiwei Zhang
- Center for Wildlife Resources Conservation Research, Jiangxi Agricultural University, Nanchang, China
| | - Chenxi Jia
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Frank E Rheindt
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Fumin Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Gang Song
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
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19
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Schreiber M, Jayakodi M, Stein N, Mascher M. Plant pangenomes for crop improvement, biodiversity and evolution. Nat Rev Genet 2024:10.1038/s41576-024-00691-4. [PMID: 38378816 DOI: 10.1038/s41576-024-00691-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/14/2023] [Indexed: 02/22/2024]
Abstract
Plant genome sequences catalogue genes and the genetic elements that regulate their expression. Such inventories further research aims as diverse as mapping the molecular basis of trait diversity in domesticated plants or inquiries into the origin of evolutionary innovations in flowering plants millions of years ago. The transformative technological progress of DNA sequencing in the past two decades has enabled researchers to sequence ever more genomes with greater ease. Pangenomes - complete sequences of multiple individuals of a species or higher taxonomic unit - have now entered the geneticists' toolkit. The genomes of crop plants and their wild relatives are being studied with translational applications in breeding in mind. But pangenomes are applicable also in ecological and evolutionary studies, as they help classify and monitor biodiversity across the tree of life, deepen our understanding of how plant species diverged and show how plants adapt to changing environments or new selection pressures exerted by human beings.
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Affiliation(s)
- Mona Schreiber
- Department of Biology, University of Marburg, Marburg, Germany
| | - Murukarthick Jayakodi
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany
- Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany.
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
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20
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Andersson L, Bekkevold D, Berg F, Farrell ED, Felkel S, Ferreira MS, Fuentes-Pardo AP, Goodall J, Pettersson M. How Fish Population Genomics Can Promote Sustainable Fisheries: A Road Map. Annu Rev Anim Biosci 2024; 12:1-20. [PMID: 37906837 DOI: 10.1146/annurev-animal-021122-102933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Maintenance of genetic diversity in marine fishes targeted by commercial fishing is a grand challenge for the future. Most of these species are abundant and therefore important for marine ecosystems and food security. Here, we present a road map of how population genomics can promote sustainable fisheries. In these species, the development of reference genomes and whole genome sequencing is key, because genetic differentiation at neutral loci is usually low due to large population sizes and gene flow. First, baseline allele frequencies representing genetically differentiated populations within species must be established. These can then be used to accurately determine the composition of mixed samples, forming the basis for population demographic analysis to inform sustainably set fish quotas. SNP-chip analysis is a cost-effective method for determining baseline allele frequencies and for population identification in mixed samples. Finally, we describe how genetic marker analysis can transform stock identification and management.
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Affiliation(s)
- Leif Andersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden;
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas, USA
| | - Dorte Bekkevold
- National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark
| | | | - Edward D Farrell
- Killybegs Fishermen's Organisation, Killybegs, County Donegal, Ireland
| | - Sabine Felkel
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden;
| | - Mafalda S Ferreira
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden;
| | - Angela P Fuentes-Pardo
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden;
| | - Jake Goodall
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden;
| | - Mats Pettersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden;
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21
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Furuta T, Yamamoto T. MCPtaggR: R package for accurate genotype calling in reduced representation sequencing data by eliminating error-prone markers based on genome comparison. DNA Res 2024; 31:dsad027. [PMID: 38134958 PMCID: PMC10799318 DOI: 10.1093/dnares/dsad027] [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: 10/18/2023] [Revised: 12/11/2023] [Accepted: 12/18/2023] [Indexed: 12/24/2023] Open
Abstract
Reduced representation sequencing (RRS) offers cost-effective, high-throughput genotyping platforms such as genotyping-by-sequencing (GBS). RRS reads are typically mapped onto a reference genome. However, mapping reads harbouring mismatches against the reference can potentially result in mismapping and biased mapping, leading to the detection of error-prone markers that provide incorrect genotype information. We established a genotype-calling pipeline named mappable collinear polymorphic tag genotyping (MCPtagg) to achieve accurate genotyping by eliminating error-prone markers. MCPtagg was designed for the RRS-based genotyping of a population derived from a biparental cross. The MCPtagg pipeline filters out error-prone markers prior to genotype calling based on marker collinearity information obtained by comparing the genome sequences of the parents of a population to be genotyped. A performance evaluation on real GBS data from a rice F2 population confirmed its effectiveness. Furthermore, our performance test using a genome assembly that was obtained by genome sequence polishing on an available genome assembly suggests that our pipeline performs well with converted genomes, rather than necessitating de novo assembly. This demonstrates its flexibility and scalability. The R package, MCPtaggR, was developed to provide functions for the pipeline and is available at https://github.com/tomoyukif/MCPtaggR.
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Affiliation(s)
- Tomoyuki Furuta
- Institute of Plant Science and Resources, Okayama University, Kurashiki, Okayama, Japan
| | - Toshio Yamamoto
- Institute of Plant Science and Resources, Okayama University, Kurashiki, Okayama, Japan
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22
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Delmore K, Justen H, Kay KM, Kitano J, Moyle LC, Stelkens R, Streisfeld MA, Yamasaki YY, Ross J. Genomic Approaches Are Improving Taxonomic Representation in Genetic Studies of Speciation. Cold Spring Harb Perspect Biol 2024; 16:a041438. [PMID: 37848243 PMCID: PMC10835617 DOI: 10.1101/cshperspect.a041438] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Abstract
Until recently, our understanding of the genetics of speciation was limited to a narrow group of model species with a specific set of characteristics that made genetic analysis feasible. Rapidly advancing genomic technologies are eliminating many of the distinctions between laboratory and natural systems. In light of these genomic developments, we review the history of speciation genetics, advances that have been gleaned from model and non-model organisms, the current state of the field, and prospects for broadening the diversity of taxa included in future studies. Responses to a survey of speciation scientists across the world reveal the ongoing division between the types of questions that are addressed in model and non-model organisms. To bridge this gap, we suggest integrating genetic studies from model systems that can be reared in the laboratory or greenhouse with genomic studies in related non-models where extensive ecological knowledge exists.
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Affiliation(s)
- Kira Delmore
- Department of Biology, Texas A&M University, College Station, Texas 77843, USA
| | - Hannah Justen
- Department of Biology, Texas A&M University, College Station, Texas 77843, USA
| | - Kathleen M Kay
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, California 95060, USA
| | - Jun Kitano
- Ecological Genetics Laboratory, National Institute of Genetics, Mishima, Shizuoka 411-8540, Japan
| | - Leonie C Moyle
- Department of Biology, Indiana University, Bloomington, Indiana 47405, USA
| | - Rike Stelkens
- Division of Population Genetics, Department of Zoology, Stockholm University, 106 91 Stockholm, Sweden
| | - Matthew A Streisfeld
- Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon 97403, USA
| | - Yo Y Yamasaki
- Ecological Genetics Laboratory, National Institute of Genetics, Mishima, Shizuoka 411-8540, Japan
| | - Joseph Ross
- Department of Biology, California State University, Fresno, California 93740, USA
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23
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Song H, Shin U, Nam U, Lee Y. Exploring hematopoiesis in zebrafish using forward genetic screening. Exp Mol Med 2024; 56:51-58. [PMID: 38172599 PMCID: PMC10834449 DOI: 10.1038/s12276-023-01138-2] [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: 06/14/2023] [Revised: 10/11/2023] [Accepted: 10/13/2023] [Indexed: 01/05/2024] Open
Abstract
Zebrafish have emerged as a powerful animal model for investigating the genetic basis of hematopoiesis. Owing to its close genetic and developmental similarities to humans, combined with its rapid reproduction and extensive genomic resources, zebrafish have become a versatile and efficient platform for genetic studies. In particular, the forward genetic screening approach has enabled the unbiased identification of novel genes and pathways related to blood development, from hematopoietic stem cell formation to terminal differentiation. Recent advances in mutant gene mapping have further expanded the scope of forward genetic screening, facilitating the identification of previously unknown genes and pathways relevant to hematopoiesis. In this review, we provide an overview of the zebrafish forward screening approach for hematopoietic gene discovery and highlight the key genes and pathways identified using this method. This review emphasizes the importance of zebrafish as a model system for understanding the genetic basis of hematopoiesis and its associated disorders.
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Affiliation(s)
- Hyemin Song
- Department of Biomedical Sciences, UC San Diego School of Medicine, La Jolla, CA, 92093, USA
- Salk Institute for Biological Studies, La Jolla, CA, 92037, USA
| | - Unbeom Shin
- School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Uijeong Nam
- Department of Biomedical Science and Technology, Kyung Hee University, Seoul, 05278, Republic of Korea
| | - Yoonsung Lee
- Clinical Research Institute, Kyung Hee University Hospital at Gangdong, School of Medicine, Kyung Hee University, Seoul, 05278, Republic of Korea.
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24
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Jiang L, Xie S, Zhou C, Tian C, Zhu C, You X, Chen C, Lai Z, Guo Y. Analysis of the Genetic Diversity in Tea Plant Germplasm in Fujian Province Based on Restriction Site-Associated DNA Sequencing. PLANTS (BASEL, SWITZERLAND) 2023; 13:100. [PMID: 38202408 PMCID: PMC10780744 DOI: 10.3390/plants13010100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 12/21/2023] [Accepted: 12/24/2023] [Indexed: 01/12/2024]
Abstract
Fujian province, an important tea-producing area in China, has abundant tea cultivars. To investigate the genetic relationships of tea plant cultivars in Fujian province and the characteristics of the tea plant varieties, a total of 70 tea cultivars from Fujian and other 12 provinces in China were subjected to restriction site-associated DNA sequencing (RAD-seq). A total of 60,258,975 single nucleotide polymorphism (SNP) sites were obtained. These 70 tea plant cultivars were divided into three groups based on analyzing the phylogenetic tree, principal component, and population structure. Selection pressure analysis indicated that nucleotide diversity was high in Southern China and genetically distinct from cultivars of Fujian tea plant cultivars, according to selection pressure analysis. The selected genes have significant enrichment in pathways associated with metabolism, photosynthesis, and respiration. There were ten characteristic volatiles screened by gas chromatography-mass spectrometry (GC-MS) coupled with multivariate statistical methods, among which the differences in the contents of methyl salicylate, 3-carene, cis-3-hexen-1-ol, (E)-4-hexen-1-ol, and 3-methylbutyraldehyde can be used as reference indicators of the geographical distribution of tea plants. Furthermore, a metabolome genome-wide association study (mGWAS) revealed that 438 candidate genes were related to the aroma metabolic pathway. Further analysis showed that 31 genes of all the selected genes were screened and revealed the reasons for the genetic differences in aroma among tea plant cultivars in Fujian and Southern China. These results reveal the genetic diversity in the Fujian tea plants as well as a theoretical basis for the conservation, development, and utilization of the Fujian highly aromatic tea plant cultivars.
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Affiliation(s)
- Lele Jiang
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (L.J.); (C.Z.); (C.T.); (Z.L.)
| | - Siyi Xie
- Key Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha 410128, China;
| | - Chengzhe Zhou
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (L.J.); (C.Z.); (C.T.); (Z.L.)
- Institute of Horticultural Biotechnology, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Caiyun Tian
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (L.J.); (C.Z.); (C.T.); (Z.L.)
| | - Chen Zhu
- Guangdong Provincial Key Laboratory of Applied Botany & Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, South China Botanical Garden, Chinese Academy of Sciences, No. 723 Xingke Road, Tianhe District, Guangzhou 510650, China;
| | - Xiaomei You
- Tea Research Institute, Fujian Academy of Agricultural Sciences, No. 104 Pudang Road, Xindian Town, Jin’an District, Fuzhou 350012, China; (X.Y.); (C.C.)
| | - Changsong Chen
- Tea Research Institute, Fujian Academy of Agricultural Sciences, No. 104 Pudang Road, Xindian Town, Jin’an District, Fuzhou 350012, China; (X.Y.); (C.C.)
| | - Zhongxiong Lai
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (L.J.); (C.Z.); (C.T.); (Z.L.)
- Institute of Horticultural Biotechnology, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Yuqiong Guo
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (L.J.); (C.Z.); (C.T.); (Z.L.)
- Anxi College of Tea Science (College of Digital Economy), Fujian Agriculture and Forestry University, Quanzhou 362400, China
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25
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Wang J, Chen H, Li Y, Shi D, Wang W, Yan C, Yuan M, Sun Q, Chen J, Mou Y, Qu C, Shan S. Identification of Quantitative Trait Nucleotides and Development of Diagnostic Markers for Nine Fatty Acids in the Peanut. PLANTS (BASEL, SWITZERLAND) 2023; 13:16. [PMID: 38202325 PMCID: PMC10780752 DOI: 10.3390/plants13010016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/15/2023] [Accepted: 12/15/2023] [Indexed: 01/12/2024]
Abstract
The cultivated peanut (Arachis hypogaea L.) is an important oilseed crop worldwide, and fatty acid composition is a major determinant of peanut oil quality. In the present study, we conducted a genome-wide association study (GWAS) for nine fatty acid traits using the whole genome sequences of 160 representative Chinese peanut landraces and identified 6-1195 significant SNPs for different fatty acid contents. Particularly for oleic acid and linoleic acid, two peak SNP clusters on Arahy.09 and Arahy.19 were found to contain the majority of the significant SNPs associated with these two fatty acids. Additionally, a significant proportion of the candidate genes identified on Arahy.09 overlap with those identified in early studies, among which three candidate genes are of special interest. One possesses a significant missense SNP and encodes a known candidate gene FAD2A. The second gene is the gene closest to the most significant SNP for linoleic acid. It codes for an MYB protein that has been demonstrated to impact fatty acid biosynthesis in Arabidopsis. The third gene harbors a missense SNP and encodes a JmjC domain-containing protein. The significant phenotypic difference in the oleic acid/linoleic acid between the genotypes at the first and third candidate genes was further confirmed with PARMS analysis. In addition, we have also identified different candidate genes (i.e., Arahy.ZV39IJ, Arahy.F9E3EA, Arahy.X9ZZC1, and Arahy.Z0ELT9) for the remaining fatty acids. Our findings can help us gain a better understanding of the genetic foundation of peanut fatty acid contents and may hold great potential for enhancing peanut quality in the future.
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Affiliation(s)
- Juan Wang
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.)
| | - Haoning Chen
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.)
| | - Yuan Li
- National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Lund University, 22100 Lund, Sweden
- Department of Immunotechnology, Lund University, Medicon Village, 22100 Lund, Sweden
| | - Dachuan Shi
- Qingdao Academy of Agricultural Sciences, Qingdao 266100, China
| | - Wenjiao Wang
- Qingdao Academy of Agricultural Sciences, Qingdao 266100, China
| | - Caixia Yan
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.)
| | - Mei Yuan
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.)
| | - Quanxi Sun
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.)
| | - Jing Chen
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.)
| | - Yifei Mou
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.)
| | - Chunjuan Qu
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.)
| | - Shihua Shan
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.)
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26
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Chhotaray S, Vohra V, Uttam V, Santhosh A, Saxena P, Gahlyan RK, Gowane G. TWAS revealed significant causal loci for milk production and its composition in Murrah buffaloes. Sci Rep 2023; 13:22401. [PMID: 38104199 PMCID: PMC10725422 DOI: 10.1038/s41598-023-49767-x] [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: 01/20/2023] [Accepted: 12/12/2023] [Indexed: 12/19/2023] Open
Abstract
Milk yield is the most complex trait in dairy animals, and mapping all causal variants even with smallest effect sizes has been difficult with the genome-wide association study (GWAS) sample sizes available in geographical regions with small livestock holdings such as Indian sub-continent. However, Transcriptome-wide association studies (TWAS) could serve as an alternate for fine mapping of expression quantitative trait loci (eQTLs). This is a maiden attempt to identify milk production and its composition related genes using TWAS in Murrah buffaloes (Bubalus bubalis). TWAS was conducted on a test (N = 136) set of Murrah buffaloes genotyped through ddRAD sequencing. Their gene expression level was predicted using reference (N = 8) animals having both genotype and mammary epithelial cell (MEC) transcriptome information. Gene expression prediction was performed using Elastic-Net and Dirichlet Process Regression (DPR) model with fivefold cross-validation and without any cross-validation. DPR model without cross-validation predicted 80.92% of the total genes in the test group of Murrah buffaloes which was highest compared to other methods. TWAS in test individuals based on predicted gene expression, identified a significant association of one unique gene for Fat%, and two for SNF% at Bonferroni corrected threshold. The false discovery rates (FDR) corrected P-values of the top ten SNPs identified through GWAS were comparatively higher than TWAS. Gene ontology of TWAS-identified genes was performed to understand the function of these genes, it was revealed that milk production and composition genes were mainly involved in Relaxin, AMPK, and JAK-STAT signaling pathway, along with CCRI, and several key metabolic processes. The present study indicates that TWAS offers a lower false discovery rate and higher significant hits than GWAS for milk production and its composition traits. Hence, it is concluded that TWAS can be effectively used to identify genes and cis-SNPs in a population, which can be used for fabricating a low-density genomic chip for predicting milk production in Murrah buffaloes.
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Affiliation(s)
- Supriya Chhotaray
- Division of Animal Genetics and Breeding, ICAR-Central Institute for Research on Buffaloes, Hisar, Haryana, 125001, India
- Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, 132001, India
| | - Vikas Vohra
- Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, 132001, India.
| | - Vishakha Uttam
- Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, 132001, India
| | - Ameya Santhosh
- Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, 132001, India
| | - Punjika Saxena
- Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, 132001, India
| | - Rajesh Kumar Gahlyan
- Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, 132001, India
| | - Gopal Gowane
- Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, 132001, India
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27
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Campos DP, Granger-Neto HP, Júnior JES, Faux P, Santos FR. Population Genomics of the Critically Endangered Brazilian Merganser. Animals (Basel) 2023; 13:3759. [PMID: 38136797 PMCID: PMC10741106 DOI: 10.3390/ani13243759] [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: 10/31/2023] [Revised: 11/20/2023] [Accepted: 11/30/2023] [Indexed: 12/24/2023] Open
Abstract
The Brazilian merganser (Mergus octosetaceus) is one of the most endangered bird species in South America and comprises less than 250 mature individuals in wild environments. This is a species extremely sensitive to environmental disturbances and restricted to a few "pristine" freshwater habitats in Brazil, and it has been classified as Critically Endangered on the IUCN Red List since 1994. Thus, biological conservation studies are vital to promote adequate management strategies and to avoid the decline of merganser populations. In this context, to understand the evolutionary dynamics and the current genetic diversity of remaining Brazilian merganser populations, we used the "Genotyping by Sequencing" approach to genotype 923 SNPs in 30 individuals from all known areas of occurrence. These populations revealed a low genetic diversity and high inbreeding levels, likely due to the recent population decline associated with habitat loss. Furthermore, it showed a moderate level of genetic differentiation between all populations located in four separated areas of the highly threatened Cerrado biome. The results indicate that urgent actions for the conservation of the species should be accompanied by careful genetic monitoring to allow appropriate in situ and ex situ management to increase the long-term species' survival in its natural environment.
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Affiliation(s)
- Davidson P. Campos
- Department of Genetics, Ecology and Evolution, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (D.P.C.); (H.P.G.-N.); (J.E.S.J.)
| | - Henry Paul Granger-Neto
- Department of Genetics, Ecology and Evolution, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (D.P.C.); (H.P.G.-N.); (J.E.S.J.)
| | - José E. Santos Júnior
- Department of Genetics, Ecology and Evolution, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (D.P.C.); (H.P.G.-N.); (J.E.S.J.)
| | - Pierre Faux
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31326 Castanet-Tolosan, France;
| | - Fabrício R. Santos
- Department of Genetics, Ecology and Evolution, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (D.P.C.); (H.P.G.-N.); (J.E.S.J.)
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28
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Haqani MI, Nakano M, Nagano AJ, Nakamura Y, Tsudzuki M. Association analysis of production traits of Japanese quail (Coturnix japonica) using restriction-site associated DNA sequencing. Sci Rep 2023; 13:21307. [PMID: 38042890 PMCID: PMC10693557 DOI: 10.1038/s41598-023-48293-0] [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: 01/06/2023] [Revised: 10/10/2023] [Accepted: 11/24/2023] [Indexed: 12/04/2023] Open
Abstract
This study was designed to perform an association analysis and identify SNP markers associated with production traits of Japanese quail using restriction-site-associated DNA sequencing. Weekly body weight data from 805 quail were collected from hatching to 16 weeks of age. A total number of 3990 eggs obtained from 399 female quail were used to assess egg quality traits. Egg-related traits were measured at the beginning of egg production (first stage) and at 12 weeks of age (second stage). Five eggs were analyzed at each stage. Traits, such as egg weight, egg length and short axes, eggshell strength and weight, egg equator thickness, yolk weight, diameter, and colour, albumen weight, age of first egg, total number of laid eggs, and egg production rate, were assessed. A total of 383 SNPs and 1151 associations as well as 734 SNPs and 1442 associations were identified in relation to quail production traits using general linear model (GLM) and mixed linear model (MLM) approaches, respectively. The GLM-identified SNPs were located on chromosomes 1-13, 15, 17-20, 24, 26-28, and Z, underlying phenotypic traits, except for egg and albumen weight at the first stage and yolk yellowness at the second stage. The MLM-identified SNPs were positioned on defined chromosomes associated with phenotypic traits except for the egg long axis at the second stage of egg production. Finally, 35 speculated genes were identified as candidate genes for the targeted traits based on their nearest positions. Our findings provide a deeper understanding and allow a more precise genetic improvement of production traits of Galliformes, particularly in Japanese quail.
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Affiliation(s)
- Mohammad Ibrahim Haqani
- Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Hiroshima, 739-8525, Japan.
| | - Michiharu Nakano
- Faculty of Agriculture and Marine Sciences, Kochi University, Nankoku, Kochi, 783-8502, Japan
| | - Atsushi J Nagano
- Faculty of Agriculture, Ryukoku University, Otsu, Shiga, 520-2194, Japan
- Institute for Advanced Biosciences, Keio University, Yamagata, 997-0017, Japan
| | - Yoshiaki Nakamura
- Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Hiroshima, 739-8525, Japan
- Japanese Avian Bioresource Project Research Center, Hiroshima University, Higashi-Hiroshima, Hiroshima, 739-8525, Japan
| | - Masaoki Tsudzuki
- Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Hiroshima, 739-8525, Japan.
- Japanese Avian Bioresource Project Research Center, Hiroshima University, Higashi-Hiroshima, Hiroshima, 739-8525, Japan.
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29
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Jaglan K, Ravikumar D, Sukhija N, George L, Alex R, Vohra V, Verma A. Genomic clues of association between clinical mastitis and SNPs identified by ddRAD sequencing in Murrah buffaloes. Anim Biotechnol 2023; 34:4538-4546. [PMID: 36639144 DOI: 10.1080/10495398.2023.2165937] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
The total milk production of India is 209.96 MT out of which 45% is contributed by the indigenous buffalo and due to their high producing virtue, the prevalence of mastitis is 5-20%. Despite the increasing level of technological advancement, mastitis is still an issue of concern for dairy industry in India as well as across the world. Therefore, the present study aimed to identify the SNPs and associate them with the incidence of clinical mastitis in Murrah buffalo using the ddRAD sequencing approach taking mastitis incidence data of 96 Murrah buffaloes. A total of 246 million quality controlled reads were obtained with an average alignment rate of 99.01% and at a read depth of 10, quality controlled SNPs obtained were 18,056. The logistic regression model was used and a total of seven SNPs were found significantly associated (p < 0.001) with mastitis incidence and seven genes were identified viz., NCBP1, FOXN3, TPK1, XYLT2, CPXM2, HERC1, and OPCML. The majority of them were having tumor suppressing action, related to immunogenetics or glycolytic and energy production. Conclusively, the SNPs identified in this study may be useful for future studies on mastitis incidence in Murrah buffalo and the SNP associations can be further validated.
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Affiliation(s)
- Komal Jaglan
- Division of Animal Genetics and Breeding, ICAR-National Dairy Research Institute, Karnal, India
| | - D Ravikumar
- Division of Animal Genetics and Breeding, ICAR-National Dairy Research Institute, Karnal, India
| | - Nidhi Sukhija
- Division of Animal Genetics and Breeding, ICAR-National Dairy Research Institute, Karnal, India
| | - Linda George
- Division of Animal Genetics and Breeding, ICAR-National Dairy Research Institute, Karnal, India
| | - Rani Alex
- Division of Animal Genetics and Breeding, ICAR-National Dairy Research Institute, Karnal, India
| | - Vikas Vohra
- Division of Animal Genetics and Breeding, ICAR-National Dairy Research Institute, Karnal, India
| | - Archana Verma
- Division of Animal Genetics and Breeding, ICAR-National Dairy Research Institute, Karnal, India
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30
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Choquet M, Lizano AM, Le Moan A, Ravinet M, Dhanasiri AKS, Hoarau G. Unmasking microsatellite deceptiveness and debunking hybridization with SNPs in four marine copepod species of Calanus. Mol Ecol 2023; 32:6854-6873. [PMID: 37902127 DOI: 10.1111/mec.17183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/06/2023] [Accepted: 10/16/2023] [Indexed: 10/31/2023]
Abstract
Interspecific hybridization events are on the rise in natural systems due to climate change disrupting species barriers. Across taxa, microsatellites have long been the molecular markers of choice to identify admixed individuals. However, with the advent of high-throughput sequencing easing the generation of genome-wide datasets, incorrect reports of hybridization resulting from microsatellite technical artefacts have been uncovered in a growing number of taxa. In the marine zooplankton genus Calanus (Copepoda), whose species are used as climate change indicators, microsatellite markers have suggested hybridization between C. finmarchicus and C. glacialis, while other nuclear markers (InDels) never detected any admixed individuals, leaving the scientific community divided. Here, for the first time, we investigated the potential for hybridization among C. finmarchicus, C. glacialis, C. helgolandicus and C. hyperboreus using two large and independent SNP datasets. These were derived firstly from a protocol of target-capture applied to 179 individuals collected from 17 sites across the North Atlantic and Arctic Oceans, including sympatric areas, and second from published RNA sequences. All SNP-based analyses were congruent in showing that Calanus species are distinct and do not appear to hybridize. We then thoroughly re-assessed the microsatellites showing hybrids, with the support of published transcriptomes, and identified technical issues plaguing eight out of 10 microsatellites, including size homoplasy, paralogy, potential for null alleles and even two primer pairs targeting the same locus. Our study illustrates how deceptive microsatellites can be when applied to the investigation of hybridization.
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Affiliation(s)
- Marvin Choquet
- Natural History Museum, University of Oslo, Oslo, Norway
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
| | - Apollo M Lizano
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
| | - Alan Le Moan
- CNRS-Sorbonne Université, Station Biologique de Roscoff, Roscoff, France
| | - Mark Ravinet
- School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Anusha K S Dhanasiri
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
- Department of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences (NMBU), Oslo, Norway
| | - Galice Hoarau
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
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Rahi ML, Mather PB, de Bello Cioffi M, Ezaz T, Hurwood DA. Genomic Basis of Freshwater Adaptation in the Palaemonid Prawn Genus Macrobrachium: Convergent Evolution Following Multiple Independent Colonization Events. J Mol Evol 2023; 91:976-989. [PMID: 38010517 DOI: 10.1007/s00239-023-10149-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 11/14/2023] [Indexed: 11/29/2023]
Abstract
Adaptation to different salinity environments can enhance morphological and genomic divergence between related aquatic taxa. Species of prawns in the genus Macrobrachium naturally inhabit different osmotic niches and possess distinctive lifecycle traits associated with salinity tolerance. This study was conducted to investigate the patterns of adaptive genomic divergence during freshwater colonization in 34 Macrobrachium species collected from four continents; Australia, Asia, North and South America. Genotyping-by-sequencing (GBS) technique identified 5018 loci containing 82,636 single nucleotide polymorphisms (SNPs) that were used to reconstruct a phylogenomic tree. An additional phylogeny was reconstructed based on 43 candidate genes, previously identified as being potentially associated with freshwater adaptation. Comparison of the two phylogenetic trees revealed contrasting topologies. The GBS tree indicated multiple independent continent-specific invasions into freshwater by Macrobrachium lineages following common marine ancestry, as species with abbreviated larval development (ALD), i.e., species having a full freshwater life history, appeared reciprocally monophyletic within each continent. In contrast, the candidate gene tree showed convergent evolution for all ALD species worldwide, forming a single, well-supported clade. This latter pattern is likely the result of common evolutionary pressures selecting key mutations favored in continental freshwater habitats Results suggest that following multiple independent invasions into continental freshwaters at different evolutionary timescales, Macrobrachium taxa experienced adaptive genomic divergence, and in particular, convergence in the same genomic regions with parallel shifts in specific conserved phenotypic traits, such as evolution of larger eggs with abbreviated larval developmental.
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Affiliation(s)
- Md Lifat Rahi
- Fisheries and Marine Resource Technology Discipline, Khulna University, Khulna, Bangladesh.
| | - Peter B Mather
- Faculty of Science, Queensland University of Technology (QUT), Brisbane, QLD, 4001, Australia
| | - Marcelo de Bello Cioffi
- Department of Genetics and Evolution, Federal University of Sao Carlos, São Carlos, SP, Brazil
| | - Tariq Ezaz
- Institute for Applied Ecology (IAE), University of Canberra (UC), Canberra, ACT, 2617, Australia
| | - David A Hurwood
- Faculty of Science, Queensland University of Technology (QUT), Brisbane, QLD, 4001, Australia
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Pumpitakkul V, Chetruengchai W, Srichomthong C, Phokaew C, Pootakham W, Sonthirod C, Nawae W, Tongsima S, Wangkumhang P, Wilantho A, Utara Y, Thongpakdee A, Sanannu S, Maikaew U, Khuntawee S, Changpetch W, Phromwat P, Raschasin K, Sarnkhaeveerakul P, Supapannachart P, Buthasane W, Pukazhenthi BS, Koepfli KP, Suriyaphol P, Tangphatsornruang S, Suriyaphol G, Shotelersuk V. Comparative genomics and genome-wide SNPs of endangered Eld's deer provide breeder selection for inbreeding avoidance. Sci Rep 2023; 13:19806. [PMID: 37957263 PMCID: PMC10643696 DOI: 10.1038/s41598-023-47014-x] [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: 05/23/2023] [Accepted: 11/08/2023] [Indexed: 11/15/2023] Open
Abstract
Eld's deer, a conserved wildlife species of Thailand, is facing inbreeding depression, particularly in the captive Siamese Eld's deer (SED) subspecies. In this study, we constructed genomes of a male SED and a male Burmese Eld's deer (BED), and used genome-wide single nucleotide polymorphisms to evaluate the genetic purity and the inbreeding status of 35 SED and 49 BED with limited pedigree information. The results show that these subspecies diverged approximately 1.26 million years ago. All SED were found to be purebred. A low proportion of admixed SED genetic material was observed in some BED individuals. Six potential breeders from male SED with no genetic relation to any female SED and three purebred male BED with no relation to more than 10 purebred female BED were identified. This study provides valuable insights about Eld's deer populations and appropriate breeder selection in efforts to repopulate this endangered species while avoiding inbreeding.
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Affiliation(s)
- Vichayanee Pumpitakkul
- Biochemistry Unit, Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Wanna Chetruengchai
- Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
- Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, 10330, Thailand
| | - Chalurmpon Srichomthong
- Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
- Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, 10330, Thailand
| | - Chureerat Phokaew
- Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
- Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, 10330, Thailand
| | - Wirulda Pootakham
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, 12120, Thailand
| | - Chutima Sonthirod
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, 12120, Thailand
| | - Wanapinun Nawae
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, 12120, Thailand
| | - Sissades Tongsima
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, 12120, Thailand
| | - Pongsakorn Wangkumhang
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, 12120, Thailand
| | - Alisa Wilantho
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, 12120, Thailand
| | - Yongchai Utara
- Zoological Park Organization of Thailand, Animal Conservation and Research Institute, Bangkok, 10800, Thailand
| | - Ampika Thongpakdee
- Zoological Park Organization of Thailand, Animal Conservation and Research Institute, Bangkok, 10800, Thailand
| | - Saowaphang Sanannu
- Zoological Park Organization of Thailand, Animal Conservation and Research Institute, Bangkok, 10800, Thailand
| | - Umaporn Maikaew
- Khao Kheow Open Zoo, Zoological Park Organization of Thailand, Chonburi, 20110, Thailand
| | - Suphattharaphonnaphan Khuntawee
- Ubon Ratchathani Zoo, Zoological Park Organization of Thailand, Ubon Ratchathani District, Ubon Ratchathani, 34000, Thailand
| | - Wirongrong Changpetch
- Nakhon Ratchasima Zoo, Zoological Park Organization of Thailand, Nakhon Ratchasima, 30000, Thailand
| | - Phairot Phromwat
- Huai Kha Khaeng Wildlife Breeding Center, Department of National Parks, Wildlife and Plant Conservation, Uthai Thani, 61160, Thailand
| | - Kacharin Raschasin
- Chulabhorn Wildlife Breeding Center, Department of National Parks, Wildlife and Plant Conservation, Sisaket, 33140, Thailand
| | - Phunyaphat Sarnkhaeveerakul
- Banglamung Wildlife Breeding Center, Department of National Parks, Wildlife and Plant Conservation, Chonburi, 20150, Thailand
| | - Pannawat Supapannachart
- Biochemistry Unit, Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Wannapol Buthasane
- Biochemistry Unit, Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Budhan S Pukazhenthi
- Center for Species Survival, Smithsonian Conservation Biology Institute, National Zoological Park, Front Royal, VA, 22630, USA
| | - Klaus-Peter Koepfli
- Center for Species Survival, Smithsonian Conservation Biology Institute, National Zoological Park, Front Royal, VA, 22630, USA
- Smithsonian-Mason School of Conservation, George Mason University, Front Royal, VA, 22630, USA
| | - Prapat Suriyaphol
- Office for Research and Development, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Sithichoke Tangphatsornruang
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, 12120, Thailand.
| | - Gunnaporn Suriyaphol
- Biochemistry Unit, Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand.
| | - Vorasuk Shotelersuk
- Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
- Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, 10330, Thailand
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Li C, Yin L, He X, Jin Y, Zhu X, Wu R. Competition-cooperation mechanism between Escherichia coli and Staphylococcus aureus based on systems mapping. Front Microbiol 2023; 14:1192574. [PMID: 38029174 PMCID: PMC10657823 DOI: 10.3389/fmicb.2023.1192574] [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: 03/23/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Interspecies interactions are a crucial driving force of species evolution. The genes of each coexisting species play a pivotal role in shaping the structure and function within the community, but how to identify them at the genome-wide level has always been challenging. Methods In this study, we embed the Lotka-Volterra ordinary differential equations in the theory of community ecology into the systems mapping model, so that this model can not only describe how the quantitative trait loci (QTL) of a species directly affects its own phenotype, but also describe the QTL of the species how to indirectly affect the phenotype of its interacting species, and how QTL from different species affects community behavior through epistatic interactions. Results By designing and implementing a co-culture experiment for 100 pairs of Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus), we mapped 244 significant QTL combinations in the interaction process of the two bacteria using this model, including 69 QTLs from E. coli and 59 QTLs from S. aureus, respectively. Through gene annotation, we obtained 57 genes in E. coli, among which the genes with higher frequency were ypdC, nrfC, yphH, acrE, dcuS, rpnE, and ptsA, while we obtained 43 genes in S. aureus, among which the genes with higher frequency were ebh, SAOUHSC_00172, capF, gdpP, orfX, bsaA, and phnE1. Discussion By dividing the overall growth into independent growth and interactive growth, we could estimate how QTLs modulate interspecific competition and cooperation. Based on the quantitative genetic model, we can obtain the direct genetic effect, indirect genetic effect, and genome-genome epistatic effect related to interspecific interaction genes, and then further mine the hub genes in the QTL networks, which will be particularly useful for inferring and predicting the genetic mechanisms of community dynamics and evolution. Systems mapping can provide a tool for studying the mechanism of competition and cooperation among bacteria in co-culture, and this framework can lay the foundation for a more comprehensive and systematic study of species interactions.
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Affiliation(s)
- Caifeng Li
- Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Lixin Yin
- Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Xiaoqing He
- Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- National Engineering Laboratory for Tree Breeding, Beijing Forestry University, Beijing, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, Beijing Forestry University, Beijing, China
- The Tree and Ornamental Plant Breeding and Biotechnology, Laboratory of National Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
| | - Yi Jin
- Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- National Engineering Laboratory for Tree Breeding, Beijing Forestry University, Beijing, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, Beijing Forestry University, Beijing, China
- The Tree and Ornamental Plant Breeding and Biotechnology, Laboratory of National Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
| | - Xuli Zhu
- Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- National Engineering Laboratory for Tree Breeding, Beijing Forestry University, Beijing, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, Beijing Forestry University, Beijing, China
- The Tree and Ornamental Plant Breeding and Biotechnology, Laboratory of National Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
| | - Rongling Wu
- Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- National Engineering Laboratory for Tree Breeding, Beijing Forestry University, Beijing, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, Beijing Forestry University, Beijing, China
- The Tree and Ornamental Plant Breeding and Biotechnology, Laboratory of National Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
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Pratt EAL, Beheregaray LB, Fruet P, Tezanos-Pinto G, Bilgmann K, Zanardo N, Diaz-Aguirre F, Secchi ER, Freitas TRO, Möller LM. Genomic Divergence and the Evolution of Ecotypes in Bottlenose Dolphins (Genus Tursiops). Genome Biol Evol 2023; 15:evad199. [PMID: 37935115 PMCID: PMC10655200 DOI: 10.1093/gbe/evad199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 10/03/2023] [Accepted: 10/14/2023] [Indexed: 11/09/2023] Open
Abstract
Climatic changes have caused major environmental restructuring throughout the world's oceans. Marine organisms have responded to novel conditions through various biological systems, including genomic adaptation. Growing accessibility of next-generation DNA sequencing methods to study nonmodel species has recently allowed genomic changes underlying environmental adaptations to be investigated. This study used double-digest restriction-site associated DNA (ddRAD) sequence data to investigate the genomic basis of ecotype formation across currently recognized species and subspecies of bottlenose dolphins (genus Tursiops) in the Southern Hemisphere. Subspecies-level genomic divergence was confirmed between the offshore common bottlenose dolphin (T. truncatus truncatus) and the inshore Lahille's bottlenose dolphin (T. t. gephyreus) from the southwestern Atlantic Ocean (SWAO). Similarly, subspecies-level divergence is suggested between inshore (eastern Australia) Indo-Pacific bottlenose dolphin (T. aduncus) and the proposed Burrunan dolphin (T. australis) from southern Australia. Inshore bottlenose dolphin lineages generally had lower genomic diversity than offshore lineages, a pattern particularly evident for T. t. gephyreus, which showed exceptionally low diversity. Genomic regions associated with cardiovascular, musculoskeletal, and energy production systems appear to have undergone repeated adaptive evolution in inshore lineages across the Southern Hemisphere. We hypothesize that comparable selective pressures in the inshore environment drove similar adaptive responses in each lineage, supporting parallel evolution of inshore bottlenose dolphins. With climate change altering marine ecosystems worldwide, it is crucial to gain an understanding of the adaptive capacity of local species and populations. Our study provides insights into key adaptive pathways that may be important for the long-term survival of cetaceans and other organisms in a changing marine environment.
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Affiliation(s)
- Eleanor A L Pratt
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
- Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Luciano B Beheregaray
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Pedro Fruet
- Laboratório de Ecologia e Conservação da Megafauna Marinha (ECOMEGA), Universidade Federal do Rio Grande-FURG, Rio Grande, Brazil
- Museu Oceanográfico Prof. Eliézer de C. Rios, Universidade Federal do Rio Grande-FURG, Rio Grande, Brazil
- Kaosa, Rio Grande, Brazil
| | | | - Kerstin Bilgmann
- Department of Biological Sciences, Macquarie University, North Ryde, New South Wales, Australia
| | - Nikki Zanardo
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
- Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
- Department of Environment and Water, Adelaide, South Australia, Australia
| | - Fernando Diaz-Aguirre
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
- Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Eduardo R Secchi
- Laboratório de Ecologia e Conservação da Megafauna Marinha (ECOMEGA), Universidade Federal do Rio Grande-FURG, Rio Grande, Brazil
- Museu Oceanográfico Prof. Eliézer de C. Rios, Universidade Federal do Rio Grande-FURG, Rio Grande, Brazil
| | - Thales R O Freitas
- Laboratório de Citogenética e Evolução, Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Luciana M Möller
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
- Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
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Pérez-González J, Carranza J, Anaya G, Broggini C, Vedel G, de la Peña E, Membrillo A. Comparative Analysis of Microsatellite and SNP Markers for Genetic Management of Red Deer. Animals (Basel) 2023; 13:3374. [PMID: 37958129 PMCID: PMC10650148 DOI: 10.3390/ani13213374] [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: 09/23/2023] [Revised: 10/23/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
The analysis of population genetic structure and individual multilocus heterozygosity are crucial for wildlife management and conservation. Microsatellite markers have traditionally been used to assess these genetic parameters. However, single-nucleotide polymorphisms (SNPs) are becoming increasingly popular. Our goal here was to determine to what extent SNPs can provide better insights than microsatellites into the overall genetic status and population genetic processes in the species. To this end, we genotyped 210 red deer (Cervus elaphus) in the Spanish wild population with both 11 microsatellites and 31,712 SNPs. We compared parameters related to population genetic structure and individual multilocus heterozygosity obtained with both types of markers. Our results showed correlations between parameters measured using both microsatellites and SNPs, particularly those related to the level of genetic diversity and genetic differentiation. However, we found notably lower precision of microsatellites in measuring the distribution of genetic diversity among individuals. We conclude that microsatellites can be used to monitor the overall genetic status and detect broad patterns in red deer populations. Nevertheless, the greater precision of SNPs in inferring genetic structure and multilocus heterozygosity leads us to encourage scientists and wildlife managers to prioritize their use whenever possible.
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Affiliation(s)
- Javier Pérez-González
- Biology and Ethology Unit, Veterinary Faculty, University of Extremadura, 10003 Caceres, Spain
| | - Juan Carranza
- Wildlife Research Unit (UIRCP), University of Córdoba, 14071 Cordoba, Spain; (J.C.); (G.A.); (C.B.); (G.V.); (E.d.l.P.); (A.M.)
| | - Gabriel Anaya
- Wildlife Research Unit (UIRCP), University of Córdoba, 14071 Cordoba, Spain; (J.C.); (G.A.); (C.B.); (G.V.); (E.d.l.P.); (A.M.)
- Department of Genetics, University of Cordoba, 14071 Cordoba, Spain
| | - Camilla Broggini
- Wildlife Research Unit (UIRCP), University of Córdoba, 14071 Cordoba, Spain; (J.C.); (G.A.); (C.B.); (G.V.); (E.d.l.P.); (A.M.)
| | - Giovanni Vedel
- Wildlife Research Unit (UIRCP), University of Córdoba, 14071 Cordoba, Spain; (J.C.); (G.A.); (C.B.); (G.V.); (E.d.l.P.); (A.M.)
| | - Eva de la Peña
- Wildlife Research Unit (UIRCP), University of Córdoba, 14071 Cordoba, Spain; (J.C.); (G.A.); (C.B.); (G.V.); (E.d.l.P.); (A.M.)
- Institute for Game and Wildlife Research (IREC), 13005 Ciudad Real, Spain
| | - Alberto Membrillo
- Wildlife Research Unit (UIRCP), University of Córdoba, 14071 Cordoba, Spain; (J.C.); (G.A.); (C.B.); (G.V.); (E.d.l.P.); (A.M.)
- Department of Specific Didactics, Faculty of Education Sciences, University of Cordoba, 14071 Cordoba, Spain
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Ferrari G, Esselens L, Hart ML, Janssens S, Kidner C, Mascarello M, Peñalba JV, Pezzini F, von Rintelen T, Sonet G, Vangestel C, Virgilio M, Hollingsworth PM. Developing the Protocol Infrastructure for DNA Sequencing Natural History Collections. Biodivers Data J 2023; 11:e102317. [PMID: 38327316 PMCID: PMC10848826 DOI: 10.3897/bdj.11.e102317] [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: 02/21/2023] [Accepted: 08/04/2023] [Indexed: 02/09/2024] Open
Abstract
Intentionally preserved biological material in natural history collections represents a vast repository of biodiversity. Advances in laboratory and sequencing technologies have made these specimens increasingly accessible for genomic analyses, offering a window into the genetic past of species and often permitting access to information that can no longer be sampled in the wild. Due to their age, preparation and storage conditions, DNA retrieved from museum and herbarium specimens is often poor in yield, heavily fragmented and biochemically modified. This not only poses methodological challenges in recovering nucleotide sequences, but also makes such investigations susceptible to environmental and laboratory contamination. In this paper, we review the practical challenges associated with making the recovery of DNA sequence data from museum collections more routine. We first review key operational principles and issues to address, to guide the decision-making process and dialogue between researchers and curators about when and how to sample museum specimens for genomic analyses. We then outline the range of steps that can be taken to reduce the likelihood of contamination including laboratory set-ups, workflows and working practices. We finish by presenting a series of case studies, each focusing on protocol practicalities for the application of different mainstream methodologies to museum specimens including: (i) shotgun sequencing of insect mitogenomes, (ii) whole genome sequencing of insects, (iii) genome skimming to recover plant plastid genomes from herbarium specimens, (iv) target capture of multi-locus nuclear sequences from herbarium specimens, (v) RAD-sequencing of bird specimens and (vi) shotgun sequencing of ancient bovid bone samples.
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Affiliation(s)
- Giada Ferrari
- Royal Botanic Garden Edinburgh, Edinburgh, United KingdomRoyal Botanic Garden EdinburghEdinburghUnited Kingdom
| | - Lore Esselens
- Royal Museum for Central Africa, Tervuren, BelgiumRoyal Museum for Central AfricaTervurenBelgium
- Royal Belgian Institute of Natural Sciences, Brussels, BelgiumRoyal Belgian Institute of Natural SciencesBrusselsBelgium
| | - Michelle L Hart
- Royal Botanic Garden Edinburgh, Edinburgh, United KingdomRoyal Botanic Garden EdinburghEdinburghUnited Kingdom
| | - Steven Janssens
- Meise Botanic Garden, Meise, BelgiumMeise Botanic GardenMeiseBelgium
- Leuven Plant Institute, Department of Biology, Leuven, BelgiumLeuven Plant Institute, Department of BiologyLeuvenBelgium
| | - Catherine Kidner
- Royal Botanic Garden Edinburgh, Edinburgh, United KingdomRoyal Botanic Garden EdinburghEdinburghUnited Kingdom
| | | | - Joshua V Peñalba
- Museum für Naturkunde, Leibniz Institute for Evolution and Biodiversity Science, Berlin, GermanyMuseum für Naturkunde, Leibniz Institute for Evolution and Biodiversity ScienceBerlinGermany
| | - Flávia Pezzini
- Royal Botanic Garden Edinburgh, Edinburgh, United KingdomRoyal Botanic Garden EdinburghEdinburghUnited Kingdom
| | - Thomas von Rintelen
- Museum für Naturkunde, Leibniz Institute for Evolution and Biodiversity Science, Berlin, GermanyMuseum für Naturkunde, Leibniz Institute for Evolution and Biodiversity ScienceBerlinGermany
| | - Gontran Sonet
- Royal Belgian Institute of Natural Sciences, Brussels, BelgiumRoyal Belgian Institute of Natural SciencesBrusselsBelgium
| | - Carl Vangestel
- Royal Belgian Institute of Natural Sciences, Brussels, BelgiumRoyal Belgian Institute of Natural SciencesBrusselsBelgium
| | - Massimiliano Virgilio
- Royal Museum for Central Africa, Department of African Zoology, Tervuren, BelgiumRoyal Museum for Central Africa, Department of African ZoologyTervurenBelgium
| | - Peter M Hollingsworth
- Royal Botanic Garden Edinburgh, Edinburgh, United KingdomRoyal Botanic Garden EdinburghEdinburghUnited Kingdom
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Shu M, Moran EV. Identifying genetic variation associated with environmental gradients and drought-tolerance phenotypes in ponderosa pine. Ecol Evol 2023; 13:e10620. [PMID: 37841219 PMCID: PMC10576020 DOI: 10.1002/ece3.10620] [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: 04/28/2023] [Revised: 09/05/2023] [Accepted: 10/04/2023] [Indexed: 10/17/2023] Open
Abstract
As climate changes, understanding the genetic basis of local adaptation in plants becomes an ever more pressing issue. Combining genotype-environment association (GEA) with genotype-phenotype association (GPA) analysis has an exciting potential to uncover the genetic basis of environmental responses. We use these approaches to identify genetic variants linked to local adaptation to drought in Pinus ponderosa. Over 4 million Single Nucleotide Polymorphisms (SNPs) were identified using 223 individuals from across the Sierra Nevada of California. 927,740 (22.3%) SNPs were retained after filtering for proximity to genes and used in our association analyses. We found 1374 associated with five major climate variables, with the largest number (1151) associated with April 1st snowpack. We also conducted a greenhouse study with various drought-tolerance traits measured in first-year seedlings of a subset of the genotyped trees grown in the greenhouse. 796 SNPs were associated with control-condition trait values, while 1149 were associated with responsiveness of these traits to drought. While no individual SNPs were associated with both the environmental variables and the measured traits, several annotated genes were associated with both, particularly those involved in cell wall formation, biotic and abiotic stress responses, and ubiquitination. However, the functions of many of the associated genes have not yet been determined due to the lack of gene annotation information for conifers. Future studies are needed to assess the developmental roles and ecological significance of these unknown genes.
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Affiliation(s)
- Mengjun Shu
- Life and Environmental SciencesUniversity of CaliforniaMercedCaliforniaUSA
| | - Emily V. Moran
- Life and Environmental SciencesUniversity of CaliforniaMercedCaliforniaUSA
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Lajmi A, Glinka F, Privman E. Optimizing ddRAD sequencing for population genomic studies with ddgRADer. Mol Ecol Resour 2023. [PMID: 37732396 DOI: 10.1111/1755-0998.13870] [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: 10/27/2022] [Revised: 08/04/2023] [Accepted: 08/31/2023] [Indexed: 09/22/2023]
Abstract
Double-digest Restriction-site Associated DNA sequencing (ddRADseq) is widely used to generate genomic data for non-model organisms in evolutionary and ecological studies. Along with affordable paired-end sequencing, this method makes population genomic analyses more accessible. However, multiple factors should be considered when designing a ddRADseq experiment, which can be challenging for new users. The generated data often suffer from substantial read overlaps and adaptor contamination, severely reducing sequencing efficiency and affecting data quality. Here, we analyse diverse datasets from the literature and carry out controlled experiments to understand the effects of enzyme choice and size selection on sequencing efficiency. The empirical data reveal that size selection is imprecise and has limited efficacy. In certain scenarios, a substantial proportion of short fragments pass below the lower size-selection cut-off resulting in low sequencing efficiency. However, enzyme choice can considerably mitigate inadvertent inclusion of these shorter fragments. A simple model based on these experiments is implemented to predict the number of genomic fragments generated after digestion and size selection, number of SNPs genotyped, number of samples that can be multiplexed and the expected sequencing efficiency. We developed ddgRADer - http://ddgrader.haifa.ac.il/ - a user-friendly webtool and incorporated these calculations to aid in ddRADseq experimental design while optimizing sequencing efficiency. This tool can also be used for single enzyme protocols such as Genotyping-by-Sequencing. Given user-defined study goals, ddgRADer recommends enzyme pairs and allows users to compare and choose enzymes and size-selection criteria. ddgRADer improves the accessibility and ease of designing ddRADseq experiments and increases the probability of success of the first population genomic study conducted in labs with no prior experience in genomics.
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Affiliation(s)
- Aparna Lajmi
- Department of Evolutionary and Environmental Biology, Institute of Evolution, University of Haifa, Haifa, Israel
| | - Felix Glinka
- Department of Evolutionary and Environmental Biology, Institute of Evolution, University of Haifa, Haifa, Israel
| | - Eyal Privman
- Department of Evolutionary and Environmental Biology, Institute of Evolution, University of Haifa, Haifa, Israel
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Guo F, Ye Y, Zhu K, Lin S, Wang Y, Dong Z, Yao R, Li H, Wang W, Liao Z, Guo B, Yan X. Genetic Diversity, Population Structure, and Environmental Adaptation Signatures of Chinese Coastal Hard-Shell Mussel Mytilus coruscus Revealed by Whole-Genome Sequencing. Int J Mol Sci 2023; 24:13641. [PMID: 37686445 PMCID: PMC10488143 DOI: 10.3390/ijms241713641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 08/28/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
The hard-shell mussel (Mytilus coruscus) is widespread in the temperate coastal areas of the northwest Pacific and holds a significant position in the shellfish aquaculture market in China. However, the natural resources of this species have been declining, and population genetic studies of M. coruscus are also lacking. In this study, we conducted whole-genome resequencing (WGR) of M. coruscus from eight different latitudes along the Chinese coast and identified a total of 25,859,986 single nucleotide polymorphism (SNP) markers. Our findings indicated that the genetic diversity of M. coruscus from the Zhoushan region was lower compared with populations from other regions. Furthermore, we observed that the evolutionary tree clustered into two primary branches, and the Zhangzhou (ZZ) population was in a separate branch. The ZZ population was partly isolated from populations in other regions, but the distribution of branches was not geographically homogeneous, and a nested pattern emerged, consistent with the population differentiation index (FST) results. To investigate the selection characteristics, we utilized the northern M. coruscus populations (Dalian and Qingdao) and the central populations (Zhoushan and Xiangshan) as reference populations and the southern ZZ population as the target population. Our selection scan analysis identified several genes associated with thermal responses, including Hsp70 and CYP450. These genes may play important roles in the adaptation of M. coruscus to different living environments. Overall, our study provides a comprehensive understanding of the genomic diversity of coastal M. coruscus in China and is a valuable resource for future studies on genetic breeding and the evolutionary adaptation of this species.
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Affiliation(s)
- Feng Guo
- National Engineering Research Center for Marine Aquaculture, Zhejiang Ocean University, Zhoushan 316022, China; (F.G.); (Y.Y.); (S.L.); (H.L.)
| | - Yingying Ye
- National Engineering Research Center for Marine Aquaculture, Zhejiang Ocean University, Zhoushan 316022, China; (F.G.); (Y.Y.); (S.L.); (H.L.)
| | - Kecheng Zhu
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China;
| | - Shuangrui Lin
- National Engineering Research Center for Marine Aquaculture, Zhejiang Ocean University, Zhoushan 316022, China; (F.G.); (Y.Y.); (S.L.); (H.L.)
| | - Yuxia Wang
- Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, China; (Y.W.); (Z.D.); (R.Y.); (W.W.); (Z.L.)
| | - Zhenyu Dong
- Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, China; (Y.W.); (Z.D.); (R.Y.); (W.W.); (Z.L.)
| | - Ronghui Yao
- Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, China; (Y.W.); (Z.D.); (R.Y.); (W.W.); (Z.L.)
| | - Hongfei Li
- National Engineering Research Center for Marine Aquaculture, Zhejiang Ocean University, Zhoushan 316022, China; (F.G.); (Y.Y.); (S.L.); (H.L.)
| | - Weifeng Wang
- Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, China; (Y.W.); (Z.D.); (R.Y.); (W.W.); (Z.L.)
| | - Zhi Liao
- Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, China; (Y.W.); (Z.D.); (R.Y.); (W.W.); (Z.L.)
| | - Baoying Guo
- National Engineering Research Center for Marine Aquaculture, Zhejiang Ocean University, Zhoushan 316022, China; (F.G.); (Y.Y.); (S.L.); (H.L.)
- Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, China; (Y.W.); (Z.D.); (R.Y.); (W.W.); (Z.L.)
| | - Xiaojun Yan
- National Engineering Research Center for Marine Aquaculture, Zhejiang Ocean University, Zhoushan 316022, China; (F.G.); (Y.Y.); (S.L.); (H.L.)
- Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, China; (Y.W.); (Z.D.); (R.Y.); (W.W.); (Z.L.)
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Arantes LS, Caccavo JA, Sullivan JK, Sparmann S, Mbedi S, Höner OP, Mazzoni CJ. Scaling-up RADseq methods for large datasets of non-invasive samples: Lessons for library construction and data preprocessing. Mol Ecol Resour 2023. [PMID: 37646753 DOI: 10.1111/1755-0998.13859] [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: 04/12/2023] [Revised: 08/12/2023] [Accepted: 08/16/2023] [Indexed: 09/01/2023]
Abstract
Genetic non-invasive sampling (gNIS) is a critical tool for population genetics studies, supporting conservation efforts while imposing minimal impacts on wildlife. However, gNIS often presents variable levels of DNA degradation and non-endogenous contamination, which can incur considerable processing costs. Furthermore, the use of restriction-site-associated DNA sequencing methods (RADseq) for assessing thousands of genetic markers introduces the challenge of obtaining large sets of shared loci with similar coverage across multiple individuals. Here, we present an approach to handling large-scale gNIS-based datasets using data from the spotted hyena population inhabiting the Ngorongoro Crater in Tanzania. We generated 3RADseq data for more than a thousand individuals, mostly from faecal mucus samples collected non-invasively and varying in DNA degradation and contamination level. Using small-scale sequencing, we screened samples for endogenous DNA content, removed highly contaminated samples, confirmed overlap fragment length between libraries, and balanced individual representation in a sequencing pool. We evaluated the impact of (1) DNA degradation and contamination of non-invasive samples, (2) PCR duplicates and (3) different SNP filters on genotype accuracy based on Mendelian error estimated for parent-offspring trio datasets. Our results showed that when balanced for sequencing depth, contaminated samples presented similar genotype error rates to those of non-contaminated samples. We also showed that PCR duplicates and different SNP filters impact genotype accuracy. In summary, we showed the potential of using gNIS for large-scale genetic monitoring based on SNPs and demonstrated how to improve control over library preparation by using a weighted re-pooling strategy that considers the endogenous DNA content.
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Affiliation(s)
- Larissa S Arantes
- Berlin Center for Genomics in Biodiversity Research (BeGenDiv), Berlin, Germany
- Leibniz-Institut für Zoo- und Wildtierforschung (IZW), Berlin, Germany
| | - Jilda A Caccavo
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
- Laboratoire d'Océanographie et du Climat: Expérimentations et Approches Numériques, LOCEAN/IPSL, UPMC-CNRS-IRD-MNHN, Sorbonne Université, Paris, France
| | - James K Sullivan
- Berlin Center for Genomics in Biodiversity Research (BeGenDiv), Berlin, Germany
- Freie Universität, Berlin, Germany
| | - Sarah Sparmann
- Berlin Center for Genomics in Biodiversity Research (BeGenDiv), Berlin, Germany
- Leibniz-Institut für Gewässerökologie und Binnenfischerei (IGB), Berlin, Germany
| | - Susan Mbedi
- Berlin Center for Genomics in Biodiversity Research (BeGenDiv), Berlin, Germany
- Museum für Naturkunde, Berlin, Germany
| | - Oliver P Höner
- Leibniz-Institut für Zoo- und Wildtierforschung (IZW), Berlin, Germany
| | - Camila J Mazzoni
- Berlin Center for Genomics in Biodiversity Research (BeGenDiv), Berlin, Germany
- Leibniz-Institut für Zoo- und Wildtierforschung (IZW), Berlin, Germany
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41
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Oh KP, Van de Weyer N, Ruscoe WA, Henry S, Brown PR. From chip to SNP: Rapid development and evaluation of a targeted capture genotyping-by-sequencing approach to support research and management of a plaguing rodent. PLoS One 2023; 18:e0288701. [PMID: 37590245 PMCID: PMC10434965 DOI: 10.1371/journal.pone.0288701] [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: 03/14/2023] [Accepted: 07/03/2023] [Indexed: 08/19/2023] Open
Abstract
The management of invasive species has been greatly enhanced by population genetic analyses of multilocus single-nucleotide polymorphism (SNP) datasets that provide critical information regarding pest population structure, invasion pathways, and reproductive biology. For many applications there is a need for protocols that offer rapid, robust and efficient genotyping on the order of hundreds to thousands of SNPs, that can be tailored to specific study populations and that are scalable for long-term monitoring schemes. Despite its status as a model laboratory species, there are few existing resources for studying wild populations of house mice (Mus musculus spp.) that strike this balance between data density and laboratory efficiency. Here we evaluate the utility of a custom targeted capture genotyping-by-sequencing approach to support research on plaguing house mouse populations in Australia. This approach utilizes 3,651 hybridization capture probes targeting genome-wide SNPs identified from a sample of mice collected in grain-producing regions of southeastern Australia genotyped using a commercially available microarray platform. To assess performance of the custom panel, we genotyped wild caught mice (N = 320) from two adjoining farms and demonstrate the ability to correctly assign individuals to source populations with high confidence (mean >95%), as well as robust kinship inference within sites. We discuss these results in the context of proposed applications for future genetic monitoring of house mice in Australia.
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Affiliation(s)
- Kevin P. Oh
- Applied BioSciences, Macquarie University, Sydney, NSW, Australia
- CSIRO Health & Biosecurity, Canberra, ACT, Australia
| | - Nikki Van de Weyer
- Applied BioSciences, Macquarie University, Sydney, NSW, Australia
- CSIRO Health & Biosecurity, Canberra, ACT, Australia
| | | | - Steve Henry
- CSIRO Health & Biosecurity, Canberra, ACT, Australia
| | - Peter R. Brown
- Applied BioSciences, Macquarie University, Sydney, NSW, Australia
- CSIRO Health & Biosecurity, Canberra, ACT, Australia
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Zhang K, Wang G, Wang L, Wen B, Fu X, Liu N, Yu Z, Jian W, Guo X, Liu H, Chen SY. A genome-wide association study of coat color in Chinese Rex rabbits. Front Vet Sci 2023; 10:1184764. [PMID: 37655262 PMCID: PMC10467280 DOI: 10.3389/fvets.2023.1184764] [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: 03/12/2023] [Accepted: 07/31/2023] [Indexed: 09/02/2023] Open
Abstract
Coat color is an important phenotypic characteristic of the domestic rabbit (Oryctolagus cuniculus) and has specific economic importance in the Rex rabbit industry. Coat color varies considerably among different populations of rabbits, and several causal genes for this variation have been thoroughly studied. Nevertheless, the candidate genes affecting coat color variation in Chinese Rex rabbits remained to be investigated. In this study, we collected blood samples from 250 Chinese Rex rabbits with six different coat colors. We performed genome sequencing using a restriction site-associated DNA sequencing approach. A total of 91,546 single nucleotide polymorphisms (SNPs), evenly distributed among 21 autosomes, were identified. Genome-wide association studies (GWAS) were performed using a mixed linear model, in which the individual polygenic effect was fitted as a random effect. We detected a total of 24 significant SNPs that were located within a genomic region on chromosome 4 (OCU4). After re-fitting the most significant SNP (OCU4:13,434,448, p = 1.31e-12) as a covariate, another near-significant SNP (OCU4:11,344,946, p = 7.03e-07) was still present. Hence, we conclude that the 2.1-Mb genomic region located between these two significant SNPs is significantly associated with coat color in Chinese Rex rabbits. The well-studied coat-color-associated agouti signaling protein (ASIP) gene is located within this region. Furthermore, low genetic differentiation was also observed among the six coat color varieties. In conclusion, our results confirmed that ASIP is a putative causal gene affecting coat color variation in Chinese Rex rabbits.
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Affiliation(s)
- Kai Zhang
- Sichuan Academy of Grassland Sciences, Chengdu, Sichuan, China
| | - Guozhi Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Lihuan Wang
- Sichuan Academy of Grassland Sciences, Chengdu, Sichuan, China
| | - Bin Wen
- Sichuan Academy of Grassland Sciences, Chengdu, Sichuan, China
| | - Xiangchao Fu
- Sichuan Academy of Grassland Sciences, Chengdu, Sichuan, China
| | - Ning Liu
- Sichuan Academy of Grassland Sciences, Chengdu, Sichuan, China
| | - Zhiju Yu
- Sichuan Academy of Grassland Sciences, Chengdu, Sichuan, China
| | - Wensu Jian
- Sichuan Academy of Grassland Sciences, Chengdu, Sichuan, China
| | - Xiaolin Guo
- Sichuan Academy of Grassland Sciences, Chengdu, Sichuan, China
| | - Hanzhong Liu
- Sichuan Academy of Grassland Sciences, Chengdu, Sichuan, China
| | - Shi-Yi Chen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China
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Li Y, Luo X, Peng X, Jin Y, Tan H, Wu L, Li J, Pei Y, Xu X, Zhang W. Development of SNP and InDel markers by genome resequencing and transcriptome sequencing in radish (Raphanus sativus L.). BMC Genomics 2023; 24:445. [PMID: 37553577 PMCID: PMC10408230 DOI: 10.1186/s12864-023-09528-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 07/21/2023] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND Single nucleotide polymorphisms (SNPs) and insertions/deletions (InDels) are the most abundant genetic variations and widely distribute across the genomes in plant. Development of SNP and InDel markers is a valuable tool for genetics and genomic research in radish (Raphanus sativus L.). RESULTS In this study, a total of 366,679 single nucleotide polymorphisms (SNPs) and 97,973 insertion-deletion (InDel) markers were identified based on genome resequencing between 'YZH' and 'XHT'. In all, 53,343 SNPs and 4,257 InDels were detected in two cultivars by transcriptome sequencing. Among the InDel variations, 85 genomic and 15 transcriptomic InDels were newly developed and validated PCR. The 100 polymorphic InDels markers generated 207 alleles among 200 Chinese radish germplasm, with an average 2.07 of the number of alleles (Na) and with an average 0.33 of the polymorphism information content (PIC). Population structure and phylogenetic relationship revealed that the radish cultivars from northern China were clustered together and the southwest China cultivars were clustered together. RNA-Seq analysis revealed that 11,003 differentially expressed genes (DEGs) were identified between the two cultivars, of which 5,020 were upregulated and 5,983 were downregulated. In total, 145 flowering time-related DGEs were detected, most of which were involved in flowering time integrator, circadian clock/photoperiod autonomous, and vernalization pathways. In flowering time-related DGEs region, 150 transcriptomic SNPs and 9 InDels were obtained. CONCLUSIONS The large amount of SNPs and InDels identified in this study will provide a valuable marker resource for radish genetic and genomic studies. The SNPs and InDels within flowering time-related DGEs provide fundamental insight into for dissecting molecular mechanism of bolting and flowering in radish.
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Affiliation(s)
- Yadong Li
- College of Agriculture, Guizhou University, Guiyang, 550003 China
- Institute of Vegetable Industry Technology Research, Guizhou University, Guiyang, 550003 China
| | - Xiaobo Luo
- Guizhou Province Academy of Agricultural Sciences, Guizhou Institute of Biotechnology, Guiyang, 550003 China
| | - Xiao Peng
- College of Agriculture, Guizhou University, Guiyang, 550003 China
- Institute of Vegetable Industry Technology Research, Guizhou University, Guiyang, 550003 China
| | - Yueyue Jin
- College of Agriculture, Guizhou University, Guiyang, 550003 China
- Institute of Vegetable Industry Technology Research, Guizhou University, Guiyang, 550003 China
| | - Huping Tan
- College of Agriculture, Guizhou University, Guiyang, 550003 China
- Institute of Vegetable Industry Technology Research, Guizhou University, Guiyang, 550003 China
| | - Linjun Wu
- College of Agriculture, Guizhou University, Guiyang, 550003 China
- Institute of Vegetable Industry Technology Research, Guizhou University, Guiyang, 550003 China
| | - Jingwei Li
- College of Agriculture, Guizhou University, Guiyang, 550003 China
- Institute of Vegetable Industry Technology Research, Guizhou University, Guiyang, 550003 China
| | - Yun Pei
- College of Agriculture, Guizhou University, Guiyang, 550003 China
- Institute of Vegetable Industry Technology Research, Guizhou University, Guiyang, 550003 China
| | - Xiuhong Xu
- College of Agriculture, Guizhou University, Guiyang, 550003 China
- Institute of Vegetable Industry Technology Research, Guizhou University, Guiyang, 550003 China
| | - Wanping Zhang
- College of Agriculture, Guizhou University, Guiyang, 550003 China
- Institute of Vegetable Industry Technology Research, Guizhou University, Guiyang, 550003 China
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Ropp AJ, Reece KS, Snyder RA, Song J, Biesack EE, McDowell JR. Fine-scale population structure of the northern hard clam ( Mercenaria mercenaria) revealed by genome-wide SNP markers. Evol Appl 2023; 16:1422-1437. [PMID: 37622097 PMCID: PMC10445094 DOI: 10.1111/eva.13577] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 06/07/2023] [Accepted: 06/16/2023] [Indexed: 08/26/2023] Open
Abstract
Aquaculture is growing rapidly worldwide, and sustainability is dependent on an understanding of current genetic variation and levels of connectivity among populations. Genetic data are essential to mitigate the genetic and ecological impacts of aquaculture on wild populations and guard against unintended human-induced loss of intraspecific diversity in aquacultured lines. Impacts of disregarding genetics can include loss of diversity within and between populations and disruption of local adaptation patterns, which can lead to a decrease in fitness. The northern hard clam, Mercenaria mercenaria (Linnaeus, 1758), is an economically valuable aquaculture species along the North American Atlantic and Gulf coasts. Hard clams have a pelagic larval phase that allows for dispersal, but the level of genetic connectivity among geographic areas is not well understood. To better inform the establishment of site-appropriate aquaculture brood stocks, this study used DArTseq™ genotyping by sequencing to characterize the genetic stock structure of wild clams sampled along the east coast of North America and document genetic diversity within populations. Samples were collected from 15 locations from Prince Edward Island, Canada, to South Carolina, USA. Stringent data filtering resulted in 4960 single nucleotide polymorphisms from 448 individuals. Five genetic breaks separating six genetically distinct populations were identified: Canada, Maine, Massachusetts, Mid-Atlantic, Chesapeake Bay, and the Carolinas (F ST 0.003-0.046; p < 0.0001). This is the first study to assess population genetic structure of this economically important hard clam along a large portion of its native range with high-resolution genomic markers, enabling identification of previously unrecognized population structure. Results of this study not only broaden insight into the factors shaping the current distribution of M. mercenaria but also reveal the genetic population dynamics of a species with a long pelagic larval dispersal period along the North American Atlantic and Gulf coasts.
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Affiliation(s)
- Ann J. Ropp
- Virginia Institute of Marine Science, William & MaryGloucester PointVirginiaUSA
| | - Kimberly S. Reece
- Virginia Institute of Marine Science, William & MaryGloucester PointVirginiaUSA
| | - Richard A. Snyder
- Virginia Institute of Marine Science, William & MaryGloucester PointVirginiaUSA
| | - Jingwei Song
- Virginia Institute of Marine Science, William & MaryGloucester PointVirginiaUSA
| | - Ellen E. Biesack
- Virginia Institute of Marine Science, William & MaryGloucester PointVirginiaUSA
| | - Jan R. McDowell
- Virginia Institute of Marine Science, William & MaryGloucester PointVirginiaUSA
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Sinha D, Maurya AK, Abdi G, Majeed M, Agarwal R, Mukherjee R, Ganguly S, Aziz R, Bhatia M, Majgaonkar A, Seal S, Das M, Banerjee S, Chowdhury S, Adeyemi SB, Chen JT. Integrated Genomic Selection for Accelerating Breeding Programs of Climate-Smart Cereals. Genes (Basel) 2023; 14:1484. [PMID: 37510388 PMCID: PMC10380062 DOI: 10.3390/genes14071484] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/14/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
Rapidly rising population and climate changes are two critical issues that require immediate action to achieve sustainable development goals. The rising population is posing increased demand for food, thereby pushing for an acceleration in agricultural production. Furthermore, increased anthropogenic activities have resulted in environmental pollution such as water pollution and soil degradation as well as alterations in the composition and concentration of environmental gases. These changes are affecting not only biodiversity loss but also affecting the physio-biochemical processes of crop plants, resulting in a stress-induced decline in crop yield. To overcome such problems and ensure the supply of food material, consistent efforts are being made to develop strategies and techniques to increase crop yield and to enhance tolerance toward climate-induced stress. Plant breeding evolved after domestication and initially remained dependent on phenotype-based selection for crop improvement. But it has grown through cytological and biochemical methods, and the newer contemporary methods are based on DNA-marker-based strategies that help in the selection of agronomically useful traits. These are now supported by high-end molecular biology tools like PCR, high-throughput genotyping and phenotyping, data from crop morpho-physiology, statistical tools, bioinformatics, and machine learning. After establishing its worth in animal breeding, genomic selection (GS), an improved variant of marker-assisted selection (MAS), has made its way into crop-breeding programs as a powerful selection tool. To develop novel breeding programs as well as innovative marker-based models for genetic evaluation, GS makes use of molecular genetic markers. GS can amend complex traits like yield as well as shorten the breeding period, making it advantageous over pedigree breeding and marker-assisted selection (MAS). It reduces the time and resources that are required for plant breeding while allowing for an increased genetic gain of complex attributes. It has been taken to new heights by integrating innovative and advanced technologies such as speed breeding, machine learning, and environmental/weather data to further harness the GS potential, an approach known as integrated genomic selection (IGS). This review highlights the IGS strategies, procedures, integrated approaches, and associated emerging issues, with a special emphasis on cereal crops. In this domain, efforts have been taken to highlight the potential of this cutting-edge innovation to develop climate-smart crops that can endure abiotic stresses with the motive of keeping production and quality at par with the global food demand.
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Affiliation(s)
- Dwaipayan Sinha
- Department of Botany, Government General Degree College, Mohanpur 721436, India
| | - Arun Kumar Maurya
- Department of Botany, Multanimal Modi College, Modinagar, Ghaziabad 201204, India
| | - Gholamreza Abdi
- Department of Biotechnology, Persian Gulf Research Institute, Persian Gulf University, Bushehr 75169, Iran
| | - Muhammad Majeed
- Department of Botany, University of Gujrat, Punjab 50700, Pakistan
| | - Rachna Agarwal
- Applied Genomics Section, Bhabha Atomic Research Centre, Mumbai 400085, India
| | - Rashmi Mukherjee
- Research Center for Natural and Applied Sciences, Department of Botany (UG & PG), Raja Narendralal Khan Women's College, Gope Palace, Midnapur 721102, India
| | - Sharmistha Ganguly
- Department of Dravyaguna, Institute of Post Graduate Ayurvedic Education and Research, Kolkata 700009, India
| | - Robina Aziz
- Department of Botany, Government, College Women University, Sialkot 51310, Pakistan
| | - Manika Bhatia
- TERI School of Advanced Studies, New Delhi 110070, India
| | - Aqsa Majgaonkar
- Department of Botany, St. Xavier's College (Autonomous), Mumbai 400001, India
| | - Sanchita Seal
- Department of Botany, Polba Mahavidyalaya, Polba 712148, India
| | - Moumita Das
- V. Sivaram Research Foundation, Bangalore 560040, India
| | - Swastika Banerjee
- Department of Botany, Kairali College of +3 Science, Champua, Keonjhar 758041, India
| | - Shahana Chowdhury
- Department of Biotechnology, Faculty of Engineering Sciences, German University Bangladesh, TNT Road, Telipara, Chandona Chowrasta, Gazipur 1702, Bangladesh
| | - Sherif Babatunde Adeyemi
- Ethnobotany/Phytomedicine Laboratory, Department of Plant Biology, Faculty of Life Sciences, University of Ilorin, Ilorin P.M.B 1515, Nigeria
| | - Jen-Tsung Chen
- Department of Life Sciences, National University of Kaohsiung, Kaohsiung 811, Taiwan
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Huang C, Wang QL, Wu HL, Huang ZH, Zhang XZ, Zhu WB. Genetic testing of sperm donors in China: a survey of current practices. Front Endocrinol (Lausanne) 2023; 14:1230621. [PMID: 37529594 PMCID: PMC10390298 DOI: 10.3389/fendo.2023.1230621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 06/29/2023] [Indexed: 08/03/2023] Open
Abstract
Background The National Health and Family Planning Commission of China (NHFPCC) issued the "Measures for the Management of Human Sperm Banks," which was revised in 2003 and is still in effect today. One of the standard guidelines is that potential donors undergo laboratory testing to exclude infectious and genetic diseases and karyotype analysis. However, patient demands for donor genetic testing have also increased, and only karyotype analysis to exclude genetic diseases is not sufficient to meet these demands. Objective To examine donor genetic screening practices at sperm banks in China and to evaluate the qualifications and skills of genetic counselors at the banks. Materials and methods An electronic survey was distributed to twenty-seven sperm banks to examine donor genetic screening practices at sperm banks in China and to evaluate the qualifications and skills of genetic counselors at the banks. Twenty-six human sperm banks responded to a 32-question survey about their current practices related to genetic testing of sperm donors. Results The 26 sperm banks reported that all qualified sperm donors undergo karyotype analysis; 22 banks (84.6%) collected three generations of family history from each qualified sperm donor; 10 (38.5%) reported that they attempted to accommodate special requests from donor semen recipients for particular genetic tests. Only 2 of the 26 (7.7%) sperm banks reported that they performed whole-exome sequencing. At all the sperm banks, consent for genetic testing was obtained as part of the overall contract for sperm donors. Nineteen (73.1%) sperm banks had genetic counselors on their staff, while six (23.1%) had no genetic counselors on their staff but had access to genetic counselors at the hospital. Only one (3.8%) sperm bank had no genetic counselors on their staff or at the hospital. Conclusions The need for larger scale genetic testing of donors and recipients and an extensive panel of genetic tests specific to the Chinese population. Additionally, professionally trained geneticists must be employed as genetic counsellors so that the results of genetic tests and their implications can be explained to donors.
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Affiliation(s)
- Chuan Huang
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, Hunan, China
- Institute of Reproductive and Stem Cell Engineering, Basic Medicine College, Central South University, Changsha, Hunan, China
| | - Qi-Lin Wang
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, Guangdong, China
| | - Hui-Lan Wu
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, Hunan, China
| | - Zeng-Hui Huang
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, Hunan, China
- Institute of Reproductive and Stem Cell Engineering, Basic Medicine College, Central South University, Changsha, Hunan, China
| | - Xin-Zong Zhang
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, Guangdong, China
| | - Wen-Bing Zhu
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, Hunan, China
- Institute of Reproductive and Stem Cell Engineering, Basic Medicine College, Central South University, Changsha, Hunan, China
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Sari D, Sari H, Ikten C, Toker C. Genome-wide discovery of di-nucleotide SSR markers based on whole genome re-sequencing data of Cicer arietinum L. and Cicer reticulatum Ladiz. Sci Rep 2023; 13:10351. [PMID: 37365279 DOI: 10.1038/s41598-023-37268-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 06/19/2023] [Indexed: 06/28/2023] Open
Abstract
Simple sequence repeats (SSRs) are valuable genetic markers due to their co-dominant inheritance, multi-allelic and reproducible nature. They have been largely used for exploiting genetic architecture of plant germplasms, phylogenetic analysis, and mapping studies. Among the SSRs, di-nucleotide repeats are the most frequent of the simple repeats distributed throughout the plant genomes. In present study, we aimed to discover and develop di-nucleotide SSR markers by using the whole genome re-sequencing (WGRS) data from Cicer arietinum L. and C. reticulatum Ladiz. A total of 35,329 InDels were obtained in C. arietinum, whereas 44,331 InDels in C. reticulatum. 3387 InDels with 2 bp length were detected in C. arietinum, there were 4704 in C. reticulatum. Among 8091 InDels, 58 di-nucleotide regions that were polymorphic between two species were selected and used for validation. We tested primers for evaluation of genetic diversity in 30 chickpea genotypes including C. arietinum, C. reticulatum, C. echinospermum P.H. Davis, C. anatolicum Alef., C. canariense A. Santos & G.P. Lewis, C. microphyllum Benth., C. multijugum Maesen, C. oxyodon Boiss. & Hohen. and C. songaricum Steph ex DC. A total of 244 alleles were obtained for 58 SSR markers giving an average of 2.36 alleles per locus. The observed heterozygosity was 0.08 while the expected heterozygosity was 0.345. Polymorphism information content was found to be 0.73 across all loci. Phylogenetic tree and principal coordinate analysis clearly divided the accessions into four groups. The SSR markers were also evaluated in 30 genotypes of a RIL population obtained from an interspecific cross between C. arietinum and C. reticulatum. Chi-square (χ2) test revealed an expected 1:1 segregation ratio in the population. These results demonstrated the success of SSR identification and marker development for chickpea with the use of WGRS data. The newly developed 58 SSR markers are expected to be useful for chickpea breeders.
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Affiliation(s)
- Duygu Sari
- Department of Field Crops, Faculty of Agriculture, Akdeniz University, 07070, Antalya, Turkey.
| | - Hatice Sari
- Department of Field Crops, Faculty of Agriculture, Akdeniz University, 07070, Antalya, Turkey
| | - Cengiz Ikten
- Department of Plant Protection, Faculty of Agriculture, Akdeniz University, 07070, Antalya, Turkey
| | - Cengiz Toker
- Department of Field Crops, Faculty of Agriculture, Akdeniz University, 07070, Antalya, Turkey
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Tóth EG, Cseke K, Benke A, Lados BB, Tomov VT, Zhelev P, Kámpel JD, Borovics A, Köbölkuti ZA. Key triggers of adaptive genetic variability of sessile oak [Q. petraea (Matt.) Liebl.] from the Balkan refugia: outlier detection and association of SNP loci from ddRAD-seq data. Heredity (Edinb) 2023:10.1038/s41437-023-00629-2. [PMID: 37316726 PMCID: PMC10382515 DOI: 10.1038/s41437-023-00629-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/22/2023] [Accepted: 05/22/2023] [Indexed: 06/16/2023] Open
Abstract
Knowledge on the genetic composition of Quercus petraea in south-eastern Europe is limited despite the species' significant role in the re-colonisation of Europe during the Holocene, and the diverse climate and physical geography of the region. Therefore, it is imperative to conduct research on adaptation in sessile oak to better understand its ecological significance in the region. While large sets of SNPs have been developed for the species, there is a continued need for smaller sets of SNPs that are highly informative about the possible adaptation to this varied landscape. By using double digest restriction site associated DNA sequencing data from our previous study, we mapped RAD-seq loci to the Quercus robur reference genome and identified a set of SNPs putatively related to drought stress-response. A total of 179 individuals from eighteen natural populations at sites covering heterogeneous climatic conditions in the southeastern natural distribution range of Q. petraea were genotyped. The detected highly polymorphic variant sites revealed three genetic clusters with a generally low level of genetic differentiation and balanced diversity among them but showed a north-southeast gradient. Selection tests showed nine outlier SNPs positioned in different functional regions. Genotype-environment association analysis of these markers yielded a total of 53 significant associations, explaining 2.4-16.6% of the total genetic variation. Our work exemplifies that adaptation to drought may be under natural selection in the examined Q. petraea populations.
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Affiliation(s)
- Endre Gy Tóth
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary.
| | - Klára Cseke
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary
| | - Attila Benke
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary
| | - Botond B Lados
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary
| | - Vladimir T Tomov
- Department of Landscape Architecture, Faculty of Ecology and Landscape Architecture, University of Forestry (UF), Kliment Ohridsky 10, Sofia, 1797, Bulgaria
| | - Petar Zhelev
- Department of Dendrology, Faculty of Forestry, University of Forestry (UF), Kliment Ohridsky 10, Sofia, 1797, Bulgaria
| | - József D Kámpel
- Ottó Herman Environmental and Agricultural Technical School, Vocational School and College (Agricultural Vocational Centre of the Kisalföld Region), Ernuszt Kelemen 1, Szombathely, 9700, Hungary
| | - Attila Borovics
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary
| | - Zoltán A Köbölkuti
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary
- Departement of Applied Forest Genetics Research, Bavarian Office for Forest Genetics (AWG), Forstamtsplatz 1, Teisendorf, 83317, Germany
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Herry F, Hérault F, Lecerf F, Lagoutte L, Doublet M, Picard-Druet D, Bardou P, Varenne A, Burlot T, Le Roy P, Allais S. Restriction site-associated DNA sequencing technologies as an alternative to low-density SNP chips for genomic selection: a simulation study in layer chickens. BMC Genomics 2023; 24:271. [PMID: 37208589 DOI: 10.1186/s12864-023-09321-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 04/18/2023] [Indexed: 05/21/2023] Open
Abstract
BACKGROUND To reduce the cost of genomic selection, a low-density (LD) single nucleotide polymorphism (SNP) chip can be used in combination with imputation for genotyping selection candidates instead of using a high-density (HD) SNP chip. Next-generation sequencing (NGS) techniques have been increasingly used in livestock species but remain expensive for routine use for genomic selection. An alternative and cost-efficient solution is to use restriction site-associated DNA sequencing (RADseq) techniques to sequence only a fraction of the genome using restriction enzymes. From this perspective, use of RADseq techniques followed by an imputation step on HD chip as alternatives to LD chips for genomic selection was studied in a pure layer line. RESULTS Genome reduction and sequencing fragments were identified on reference genome using four restriction enzymes (EcoRI, TaqI, AvaII and PstI) and a double-digest RADseq (ddRADseq) method (TaqI-PstI). The SNPs contained in these fragments were detected from the 20X sequence data of the individuals in our population. Imputation accuracy on HD chip with these genotypes was assessed as the mean correlation between true and imputed genotypes. Several production traits were evaluated using single-step GBLUP methodology. The impact of imputation errors on the ranking of the selection candidates was assessed by comparing a genomic evaluation based on ancestry using true HD or imputed HD genotyping. The relative accuracy of genomic estimated breeding values (GEBVs) was investigated by considering the GEBVs estimated on offspring as a reference. With AvaII or PstI and ddRADseq with TaqI and PstI, more than 10 K SNPs were detected in common with the HD SNP chip, resulting in an imputation accuracy greater than 0.97. The impact of imputation errors on genomic evaluation of the breeders was reduced, with a Spearman correlation greater than 0.99. Finally, the relative accuracy of GEBVs was equivalent. CONCLUSIONS RADseq approaches can be interesting alternatives to low-density SNP chips for genomic selection. With more than 10 K SNPs in common with the SNPs of the HD SNP chip, good imputation and genomic evaluation results can be obtained. However, with real data, heterogeneity between individuals with missing data must be considered.
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Affiliation(s)
- Florian Herry
- NOVOGEN, 5 rue des Compagnons, Secteur du Vau Ballier, Plédran, 22960, France
- PEGASE, INRAE, Institut Agro, Saint-Gilles, 35590, France
| | | | | | | | | | | | - Philippe Bardou
- SIGENAE, GenPhySE, Université de Toulouse, INRA, ENVT, 24 chemin de Borde-Rouge - Auzeville Tolosane, Castanet Tolosan, 31326, France
| | - Amandine Varenne
- NOVOGEN, 5 rue des Compagnons, Secteur du Vau Ballier, Plédran, 22960, France
| | - Thierry Burlot
- NOVOGEN, 5 rue des Compagnons, Secteur du Vau Ballier, Plédran, 22960, France
| | - Pascale Le Roy
- PEGASE, INRAE, Institut Agro, Saint-Gilles, 35590, France
| | - Sophie Allais
- PEGASE, INRAE, Institut Agro, Saint-Gilles, 35590, France.
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George L, Alex R, Sukhija N, Jaglan K, Vohra V, Kumar R, Verma A. Genetic improvement of economic traits in Murrah buffalo using significant SNPs from genome-wide association study. Trop Anim Health Prod 2023; 55:199. [PMID: 37184817 DOI: 10.1007/s11250-023-03606-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 04/27/2023] [Indexed: 05/16/2023]
Abstract
GWAS helps to identify QTL and candidate genes of specific traits. Buffalo breeding has primarily focused on milk production, but its negative correlation with reproduction traits resulted in unfavorable decline of reproductive performance among buffaloes. A genome wide scan was performed on a total of 120 Murrah buffaloes genotyped by ddRAD sequencing for 13 traits related to female fertility, production, and growth. The identified 25 significant single nucleotide polymorphisms (SNPs) (P <1×106) are associated with age at first calving (AFC), age at first service (AFS), period from calving to 1st Artifical Insemination (AI), service period (SP) and 6 month body weight (6M). Fifteen genetic variants overlapped with different QTL regions of reported studies. Among the associated loci, outstanding candidate genes for fertility, including AQP1, TRNAE-CUC, NRIP1, CPNE4, and VOPP1, have effect in different fertility traits. AQP1 gene is expressed in ovulatory phase and various stages of pregnancy. TRNAE-CUC gene is associated with AFC and number . of calvings after 4 years of age. Glycogen content-associated gene CPNE4 regulates muscle glycogen and is upregulated during early pregnancy. NRIP1 generegulates ovulation, corpus luteum at pregnancy, and mammary gland development. The objective is to identify potential genomic regions and genetic variants associated with economic traits and to select the most significant SNP which have positive effect on all the traits.
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Affiliation(s)
- Linda George
- Division of Animal Genetics and Breeding, ICAR- National Dairy Research Institute, Karnal, Haryana, 132001, India.
| | - Rani Alex
- Division of Animal Genetics and Breeding, ICAR- National Dairy Research Institute, Karnal, Haryana, 132001, India
| | - Nidhi Sukhija
- Division of Animal Genetics and Breeding, ICAR- National Dairy Research Institute, Karnal, Haryana, 132001, India
| | - Komal Jaglan
- Division of Animal Genetics and Breeding, ICAR- National Dairy Research Institute, Karnal, Haryana, 132001, India
| | - Vikas Vohra
- Division of Animal Genetics and Breeding, ICAR- National Dairy Research Institute, Karnal, Haryana, 132001, India
| | - Ravi Kumar
- Division of Animal Genetics and Breeding, ICAR- National Dairy Research Institute, Karnal, Haryana, 132001, India
| | - Archana Verma
- Division of Animal Genetics and Breeding, ICAR- National Dairy Research Institute, Karnal, Haryana, 132001, India
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