Development of microsatellite markers and analysis of genetic diversity of Barbatia virescens in the southern coasts of China View Full Text


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Article Info

DATE

2019-04

AUTHORS

Ling Wang, Hong Yu, Qi Li

ABSTRACT

BACKGROUND: The blood clam Barbatia virescens is an ecologically and economically important species in the southern coast of China. Understanding of the genetic structure of B. virescens populations is vital to breeding strategies and conservation programs. OBJECTIVE: To develop and characterize a set of microsatellites loci primers for B. virescens, and provide helpful information for reasonable utilization and protection of B. virescens natural resources. METHODS: The microsatellites of B. virescens were detected using a RAD-seq approach based on an Illumina sequencing platform. For the test of microsatellite development, we calculated the number of alleles (Na), observed heterozygosities (Ho), expected heterozygosities (He) and exact tests for deviations from Hardy-Weinberg equilibrium (HWE). Twelve polymorphic loci were used to access the genetic diversity and population structure of four B. virescens populations. RESULTS: In this study, 50,729 microsatellites of B. virescens were detected. Twenty-two polymorphic microsatellite loci were developed for B. virescens. The number of alleles per locus ranged from 6 to 15, and expected heterozygosities varied from 0. 567 to 0.911. All the PIC values of the 22 loci were greater than 0.5, indicating that these markers were highly informative for further genetic analysis. Twelve loci were selected to analyze genetic diversity and population structure of four B. virescens populations collected from different geographical regions along the southern coast of China. The results showed moderate to high levels of genetic diversity in the four populations (mean Ar = 7.756-8.133; mean Ho = 0.575-0.639; mean He = 0.754-0.775). Pairwise FST estimates indicated that there was significant divergence among the four populations. CONCLUSION: This study not only provides a large scale of sequence information of microsatellites which are valuable for future genetic mapping, trait association and kinship among B. virescens, but also offers useful information for the sustainable management of natural stocks and the development of breeding industry of B. virescens. More... »

PAGES

1-10

References to SciGraph publications

  • 2015-11. Genetic variation and population structure of the Pacific oyster Crassostrea gigas in the northwestern Pacific inferred from mitochondrial COI sequences in FISHERIES SCIENCE
  • 2003-02. Exploiting EST databases for the development and characterization of gene-derived SSR-markers in barley (Hordeum vulgare L.) in THEORETICAL AND APPLIED GENETICS
  • 2015-07. Patterns of genetic variation across the distribution range of the cockle Cerastoderma edule inferred from microsatellites and mitochondrial DNA in MARINE BIOLOGY
  • 2014-06. Isolation and characterization of 27 novel polymorphic microsatellite markers in oriental river prawn Macrobrachium nipponense in CONSERVATION GENETICS RESOURCES
  • 2016-03. Development and characterization of 23 polymorphic microsatellite markers for banana shrimp Fenneropenaeus merguiensis in CONSERVATION GENETICS RESOURCES
  • 2017-12. Development and characterization of novel microsatellite markers for the Common Pheasant (Phasianus colchicus) using RAD-seq in AVIAN RESEARCH
  • 2002-02. Microsatellites are preferentially associated with nonrepetitive DNA in plant genomes in NATURE GENETICS
  • 2010-11. Population genetic history of the dreissenid mussel invasions: expansion patterns across North America in BIOLOGICAL INVASIONS
  • 2009-04. Development and genetic mapping of microsatellite markers from genome survey sequences in Brassica napus in THEORETICAL AND APPLIED GENETICS
  • 2006-09. Greening of the coasts: a review of the Perna viridis success story in AQUATIC ECOLOGY
  • 2011-07. Genome-wide genetic marker discovery and genotyping using next-generation sequencing in NATURE REVIEWS GENETICS
  • 2009-04. Fine-Scale Population Genetic Structure of Zhikong Scallop (Chlamys farreri): Do Local Marine Currents Drive Geographical Differentiation? in JOURNAL OF MARINE BIOTECHNOLOGY
  • 2007-09. Spatial and temporal genetic homogeneity in the Arctic surfclam (Mactromeris polynyma) in MARINE BIOLOGY
  • 2014-03. Characterisation of the complete mitochondrial genome and 13 microsatellite loci through next-generation sequencing for the New Caledonian spider-ant Leptomyrmex pallens in MOLECULAR BIOLOGY REPORTS
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    http://scigraph.springernature.com/pub.10.1007/s13258-018-0769-y

    DOI

    http://dx.doi.org/10.1007/s13258-018-0769-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1110203633

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30478704


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        "description": "BACKGROUND: The blood clam Barbatia virescens is an ecologically and economically important species in the southern coast of China. Understanding of the genetic structure of B. virescens populations is vital to breeding strategies and conservation programs.\nOBJECTIVE: To develop and characterize a set of microsatellites loci primers for B. virescens, and provide helpful information for reasonable utilization and protection of B. virescens natural resources.\nMETHODS: The microsatellites of B. virescens were detected using a RAD-seq approach based on an Illumina sequencing platform. For the test of microsatellite development, we calculated the number of alleles (Na), observed heterozygosities (Ho), expected heterozygosities (He) and exact tests for deviations from Hardy-Weinberg equilibrium (HWE). Twelve polymorphic loci were used to access the genetic diversity and population structure of four B. virescens populations.\nRESULTS: In this study, 50,729 microsatellites of B. virescens were detected. Twenty-two polymorphic microsatellite loci were developed for B. virescens. The number of alleles per locus ranged from 6 to 15, and expected heterozygosities varied from 0. 567 to 0.911. All the PIC values of the 22 loci were greater than 0.5, indicating that these markers were highly informative for further genetic analysis. Twelve loci were selected to analyze genetic diversity and population structure of four B. virescens populations collected from different geographical regions along the southern coast of China. The results showed moderate to high levels of genetic diversity in the four populations (mean Ar\u2009=\u20097.756-8.133; mean Ho\u2009=\u20090.575-0.639; mean He\u2009=\u20090.754-0.775). Pairwise FST estimates indicated that there was significant divergence among the four populations.\nCONCLUSION: This study not only provides a large scale of sequence information of microsatellites which are valuable for future genetic mapping, trait association and kinship among B. virescens, but also offers useful information for the sustainable management of natural stocks and the development of breeding industry of B. virescens.", 
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