Molecular Signatures of Divergence and Selection in Closely Related Pine Taxa
Overview
Authors
Affiliations
Efforts to detect loci under selection in plants have mostly focussed on single species. However, assuming that intraspecific divergence may lead to speciation, comparisons of genetic variation within and among recently diverged taxa can help to locate such genes. In this study, coalescent and outlier detection methods were used to assess nucleotide polymorphism and divergence at 79 nuclear gene fragments (1212 SNPs) in 16 populations (153 individuals) of the closely related, but phenotypically and ecologically distinct, pine taxa , and across their European distributions. Simultaneously, mitochondrial DNA markers, which are maternally inherited in pines and distributed by seeds at short geographic distance, were used to assess genetic relationships of the focal populations and taxa. The majority of nuclear loci showed homogenous patterns of variation between the taxa due to a high number of shared SNPs and haplotypes, similar levels of polymorphism, and low net divergence. However, against this common genetic background and an overall low population structure within taxa at mitochondrial markers, we identified several genes showing signatures of selection, accompanied by significant intra- and interspecific divergence. Our results indicate that loci involved in species divergence may be involved in intraspecific local adaptation.
Perry A, Wachowiak W, Beaton J, Iason G, Cottrell J, Cavers S Evol Appl. 2022; 15(2):330-348.
PMID: 35233251 PMC: 8867712. DOI: 10.1111/eva.13345.
Ereful N, Laurena A, Liu L, Kao S, Tsai E, Greenland A Sci Rep. 2021; 11(1):13489.
PMID: 34188147 PMC: 8241847. DOI: 10.1038/s41598-021-92938-x.
Candidate Genes for the High-Altitude Adaptations of Two Mountain Pine Taxa.
Zaborowska J, Labiszak B, Perry A, Cavers S, Wachowiak W Int J Mol Sci. 2021; 22(7).
PMID: 33801727 PMC: 8036860. DOI: 10.3390/ijms22073477.
Pre-colonial Amerindian legacies in forest composition of southern Brazil.
Pereira Cruz A, Giehl E, Levis C, Machado J, Bueno L, Peroni N PLoS One. 2020; 15(7):e0235819.
PMID: 32701950 PMC: 7377383. DOI: 10.1371/journal.pone.0235819.