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Genetic diversity and population structure of Hance in China revealed by genotyping-by-sequencing. | LitMetric

Genetic diversity and population structure of Hance in China revealed by genotyping-by-sequencing.

Ecol Evol

State Key Laboratory of Tree Genetics and Breeding Chinese Academy of Forestry Beijing China.

Published: August 2020

AI Article Synopsis

  • The study analyzes genetic diversity and population structure of 158 individuals from 13 natural populations in China using genotyping-by-sequencing (GBS), identifying over 459,000 single nucleotide polymorphisms (SNPs).
  • Genetic structure shows two distinct clusters of individuals, influenced primarily by geographic barriers, with evidence of gene introgression from coastal to inland areas, but high mountains limiting gene flow.
  • The findings highlight that individual differences within each group are greater than differences between the two groups, enhancing understanding of genetic backgrounds for conservation and resource utilization.

Article Abstract

Analysis of genetic diversity and population structure among populations is essential for the conservation and utilization of resources. Here, the genetic diversity and structure of 158 individuals from 13 natural populations of in China were analyzed using genotyping-by-sequencing (GBS). A total of 459,564 high-quality single nucleotide polymorphisms (SNPs) were obtained after filtration for subsequent analysis. Genetic structure analysis revealed that these individuals can be clustered into two groups and the structure can be explained mainly by the geographic barrier, showed gene introgression from coastal to inland areas and high mountains could significantly hinder the mutual introgression of genes. Genetic diversity analysis indicated that the individual differences within groups are greater than the differences between the two groups. These results will help us better understand the genetic backgrounds of .

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452768PMC
http://dx.doi.org/10.1002/ece3.6598DOI Listing

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