Genetic variation and breeding signature in mass selection lines of the pacific oyster (Crassostrea gigas) assessed by SNP markers

22Citations
Citations of this article
44Readers
Mendeley users who have this article in their library.

Abstract

In breeding industries, a challenging problem is how to keep genetic diversity over generations. To investigate genetic variation and identify breeding signatures in mass selected lines of Pacific oyster (Crassostrea gigas), three sixth-generation selected lines and four wild populations were assessed using 103 single nucleotide polymorphism (SNP) markers. The genetic diversity data indicated that the selected lines exhibited a significant reduction in the observed heterozygosity and observed number of alleles per locus compared with the wild populations (P≤0.05), indicating the selected lines tended to lose genetic diversity contrasted with the wild populations. The unweighted pair-group method with arithmetic mean (UPGMA) analysis showed that the wild populations and selected lines were not separated into two groups. Using four outlier tests, a total of 17 loci were found under selection at two levels. The global outlier detection suggested that 4 common outlier loci were subject to selection using both the hierarchical island model and Bayesian likelihood approaches. At regional level, 3 SNPs were detected as outlier using at least two outlier tests and one outlier SNP (CgSNP309) was overlapped in the two wild-selected population comparisons. The candidate outlier SNPs provide valuable resources for future association studies in C. gigas.

Figures

  • Fig 1. Approximate location of sampling sites shownwith shaded circles. Populations are marked by abbreviations that correspond to Table 1.
  • Table 1. Sample information for the Pacific oysterCrassostrea gigas.
  • Table 2. Genetic diversity parameters of selected lines and wild populations.
  • Table 3. Pairwise Fst values (lower diagonal) and Nei’s genetic distance (upper diagonal) among seven populations.
  • Fig 2. Phylogenetic tree of four wild populations (RS, DY, RC and MG) and three selected lines (CS6, KS6 and JS6) using the unweighted pair-groupmethod with arithmetic mean (UPGMA) based on Nei’s genetic distance derived from 103 SNPs.Numbers above branches indicate bootstrap values.
  • Table 4. Outlier SNPs detected using Arlequin, BayeScan and lnRH tests.
  • Fig 3. Results of two outlier tests in all populations. Locus names of putative outliers potentially affected by selection are indicated. (a) Hierarchical island model: empirical distribution of Fst against heterozygosity. The upper and lower lines are the 99% confidence intervals. (b) BayeScan: Fst estimates plotted against log10 of the posterior odds (PO). The dashed lines correspond to the posterior odds 100 (log10(PO) = 2).

References Powered by Scopus

Detecting the number of clusters of individuals using the software STRUCTURE: A simulation study

18475Citations
N/AReaders
Get full text

Arlequin suite ver 3.5: A new series of programs to perform population genetics analyses under Linux and Windows

13848Citations
N/AReaders
Get full text

STRUCTURE HARVESTER: A website and program for visualizing STRUCTURE output and implementing the Evanno method

10309Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Genomic tools and selective breeding in molluscs

99Citations
N/AReaders
Get full text

Selective breeding of edible bivalves and its implication of global climate change

70Citations
N/AReaders
Get full text

Optimizing hatchery practices for genetic improvement of marine bivalves

49Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Zhong, X., Feng, D., Yu, H., Kong, L., & Li, Q. (2016). Genetic variation and breeding signature in mass selection lines of the pacific oyster (Crassostrea gigas) assessed by SNP markers. PLoS ONE, 11(3). https://doi.org/10.1371/journal.pone.0150868

Readers over time

‘16‘17‘18‘19‘20‘21‘22‘23‘24‘2502468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 12

44%

Researcher 11

41%

Professor / Associate Prof. 3

11%

Lecturer / Post doc 1

4%

Readers' Discipline

Tooltip

Agricultural and Biological Sciences 20

67%

Biochemistry, Genetics and Molecular Bi... 8

27%

Earth and Planetary Sciences 1

3%

Environmental Science 1

3%

Save time finding and organizing research with Mendeley

Sign up for free
0