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Karl J Schmid

Publications and source records attributed to Karl J Schmid.

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Levels and patterns of genetic diversity differ between two closely related endemic Arabidopsis species

Theory predicts that a small effective population size leads to slower accumulation of mutations, increased levels of genetic drift and reduction in the efficiency of natural selection. Therefore endemic species should harbor low levels of genetic diversity and exhibit a reduced ability of adaptation to environmental changes. Arabidopsis pedemontana and Arabidopsis cebennensis, two endemic species from Italy and France respectively, provide an excellent model to study the adaptive potential of species with small distribution ranges. To evaluate the genome-wide levels and patterns of genetic variation, effective population size and demographic history of both species, we genotyped 53 A. pedemontana and 28 A. cebennensis individuals across the entire species ranges with Genotyping-by-Sequencing. SNPs data confirmed a low genetic diversity for A. pedemontana although its effective population size is relatively high. Only a weak population structure was observed over the small distribution range of A. pedemontana, resulting from an isolation-by-distance pattern of gene flow. In contrary, A. cebennensis individuals clustered in three populations according to their geographic distribution. Despite this and a larger distribution, the overall genetic diversity was even lower for A. cebennensis than for A. pedemontana. A demographic analysis demonstrated that both endemics have undergone a strong population size decline in the past, without recovery. The more drastic decline observed in A. cebennensis partially explains the very small effective population size observed in the present population. In light of these results, we discuss the adaptive potential of these endemic species in the context of rapid climate change.

Genomics

Transcriptomes of plant gametophytes have a higher proportion of rapidly evolving and young genes than sporophytes

Reproductive traits in plants tend to evolve rapidly due to various causes that include plant-pollinator coevolution and pollen competition, but the genomic basis of reproductive trait evolution is still largely unknown. To characterise evolutionary patterns of genome wide gene expression in reproductive tissues and to compare them to developmental stages of the sporophyte, we analysed evolutionary conservation and genetic diversity of protein-coding genes using microarray-based transcriptome data from three plant species, Arabidopsis thaliana, rice (Oryza sativa) and soybean (Glycine max). In all three species a significant shift in gene expression occurs during gametogenesis in which genes of younger evolutionary age and higher genetic diversity contribute significantly more to the transcriptome than in other stages. We refer to this phenomenon as \"evolutionary bulge\" during plant reproductive development because it differentiates the gametophyte from the sporophyte. The extent of the bulge pattern is much stronger than the transcriptomic hourglass, which postulates that during early embryo development an increased proportion of ancient and conserved genes contribute to the total transcriptome. In the three plant species, we observed an hourglass pattern only in A. thaliana but not in rice or soybean, which suggests that unlike the evolutionary bulge of reproductive genes the transcriptomic hourglass is not a general pattern of plant embryogenesis, which is consistent with the absence of a morphologically defined phylotypic stage in plant development.

Evolutionary Biology