Chapter 18 Population genomics

We filtered variants for genomics scans based on linkage desequilibrium and minor allele frequency. Then, we performed a genomic scan of populations genomics to identify genepool-specific SNPs.

  • Linkage desequilibrium & Minor alleles frequency variants filtering for genomics scans based on linkage desequilibirum and minor allele frequency
  • Genepool-specifc SNPs genomic scan to identify genepool-specific SNPs with bayescan

18.1 Linkage desequilibrium & Minor alleles frequency

Minor alleles could bias the number of fixed loci increasing false-positives upward in genomic scans (Foll & Gaggiotti 2008), similarly linkage desequilibrium will increase the number of significant associations thus increasing false-negative when applying false discovery rate. Consequently we eplored linkage desequilibrium distribution and decay and minor allele frequency distribution (Fig. 18.1). We chose to filter variants with a minor allele frequency above 5% (at least 18 individuals have the minor allele in the population) and with linkage desequilibirum \(r^2<0.99\). It reduced the dataset to 70 737 SNPs.

Linkage desequilibirum and minor allele frequency distribution in SNPs.

Figure 18.1: Linkage desequilibirum and minor allele frequency distribution in SNPs.

18.2 Genepool-specifc SNPs

We used bayescan on filtered SNPs, to detect outlier of genepools-specifc SNP with a q-value < 0.05 (Fig. 18.3). We found 4 020 SNPs significantly associated to genepools or fixed SNPs representing 5.7% of all SNPs with 309 functional SNPs, 2456 hitchhikers, and 1255 neutral. Hitchhikers corresponded to 43 106 transcripts isoforms and functional to 2 981 with 2 587 in common. Among the assocaited transcripts isoforms, 89 were differentialy expressed in S. globulifera and 32 in S. sp1 in juveniles (Tysklind et la., in prep). Corresponding genes matched 1133 unique terms of gene ontology (GO) with no significantly enriched GO term in outliers genes (besides a p-value of 0.01106483 for response to water deprivation, Fig. 18.4, REVIGO can be used for results vizualisation).

Population Fst convergence.

Figure 18.2: Population Fst convergence.

Genotype-specific SNPs.

Figure 18.3: Genotype-specific SNPs.

Term enrichment of Gene Ontology (GO) for outliers genes.

Figure 18.4: Term enrichment of Gene Ontology (GO) for outliers genes.

TRINITY_DN795961_c2_g1/TRINITY_DN796902_c0_g1/TRINITY_DN800044_c7_g3/TRINITY_DN817465_c3_g1/TRINITY_DN827983_c2_g1/TRINITY_DN828088_c2_g1

References

Foll, M. & Gaggiotti, O. (2008). A genome-scan method to identify selected loci appropriate for both dominant and codominant markers: A Bayesian perspective. Genetics, 180, 977–993. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/17246615 http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC1201091 http://www.ncbi.nlm.nih.gov/pubmed/18780740 http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC2567396