Biology subjects

Stinchcombe, J. R.

Publications and source records attributed to Stinchcombe, J. R..

4 recordsLinked to original sources

bioRxiv2018

More partners, more ranges: generalist legumes spread more easily around the globe

How does mutualism affect range expansion? On one hand, mutualists might thrive in new habitats thanks to the resources, stress tolerance, or defense provided by their partners. On the other, specialized mutualists might fail to find compatible partners beyond their range margins, limiting further spread. A recent global analysis of legume ranges found that non-symbiotic legumes have been successfully introduced to more ranges than legumes that form symbioses with rhizobia, but there is still abundant unexplained variation in introduction success within symbiotic legumes. Here, we test the hypothesis that generalist legumes have spread to more introduced ranges than specialist legumes. We used published data and rhizobial 16S rRNA sequences from GenBank to quantify the number of rhizobia partners that associate with each of 159 legume species, spanning the legume phylogeny and the globe. We found that generalist legumes occur in more introduced ranges than specialist legumes, suggesting that among mutualists, specialization hinders range expansions.

ecology↗

bioRxiv2018

Transposable elements are important contributors to standing variation in gene expression in Capsella grandiflora

Transposable elements (TEs) make up a significant portion of eukaryotic genomes, and thus are important drivers of genome evolution. However, the evolutionary forces controlling TE copy number and the extent to which TEs affect phenotypic variation on a genome-wide scale are still unclear. We characterised TE insertion polymorphism and its effects on gene expression in 124 whole genome sequences from a single population of Capsella grandiflora. The frequency of insertions was negatively correlated with distance to genes, as well as density of conserved non-coding elements, suggesting that the negative effects of TEs on gene regulation are important in limiting their abundance. Rare TE variants strongly influence gene expression variation, predominantly through downregulation. In contrast, rare single nucleotide polymorphisms (SNPs) contribute equally to up- and down-regulation, but have a weaker effect. Taken together, these results imply that TEs are a significant contributor to gene expression variation and can be more likely than rare SNPs to cause extreme changes in gene expression.\n\nAuthor SummaryTransposable elements (TEs), mobile DNA elements with the ability to excise from the genome and reinsert in new locations, are important components of genomic diversity. Due to their abundance and mobility, TEs play an influential role in genomic evolution, often deleterious. Here we show that TEs in a population of the plant Capsella grandiflora are most deleterious when they insert in genic and regulatory regions. We find that TEs indeed are associated with unusual levels of gene expression, predominantly decreased expression.\n\nFurthermore, this effect is stronger than the association of single nucleotide polymorphisms with gene expression variation, highlighting the importance of TE contribution to the maintenance of expression variation.

evolutionary biology↗

bioRxiv2017

Parental legacy, demography, and introgression influenced the evolution of the two subgenomes of the tetraploid Capsella bursa-pastoris (Brassicaceae)

Allopolyploidy is generally perceived as a major source of evolutionary novelties and as an instantaneous way to create isolation barriers. However, we do not have a clear understanding of how two subgenomes evolve and interact once they have fused in an allopolyploid species and how isolated they are from their relatives. Here, we address these questions by analyzing genomic and transcriptomic data of allotetraploid Capsella bursa-pastoris in three differentiated populations, Asia, Europe and the Middle East. We phased the two subgenomes, one descended from the outcrossing and highly diverse Capsella grandiflora (Cg) and the other one from the selfing and genetically depauperate Capsella orientalis (Co). For each subgenome, we assessed its relationship with the diploid relatives, temporal change of effective population size Ne, signatures of positive and negative selection, and gene expression patterns. Introgression between C. bursa-pastoris and its diploid relatives was widespread and the two subgenomes were impacted differentially depending on geographic region. In all three regions, Ne of the two subgenomes decreased gradually and the Co subgenome accumulated more deleterious changes than Cg. Selective sweeps were more common on the Cg subgenome in Europe and the Middle East, and on the Co subgenome in Asia. In contrast, differences in expression were limited with the Cg subgenome slightly more expressed than Co in Europe and the Middle-East. In summary, after more than 100,000 generations of co-existence, the two subgenomes of C. bursa-pastoris still retained a strong signature of parental legacy and were differentially affected by introgression and selection.

evolutionary biology↗

bioRxiv2017

A note on measuring natural selection on principal component scores

Measuring natural selection through the use of multiple regression has transformed our understanding of selection, although the methods used remain sensitive to the effects of multicollinearity due to highly correlated traits. While measuring selection on principal component scores is an apparent solution to this challenge, this approach has been heavily criticized due to difficulties in interpretation and relating PC axes back to the original traits. We describe and illustrate how to transform selection gradients for PC scores back into selection gradients for the original traits, addressing issues of multicollinearity and biological interpretation. We demonstrate this approach with empirical data and examples from the literature, highlighting how selection estimates for PC scores can be interpreted while reducing the consequences of multicollinearity.

evolutionary biology↗