Biology subjects

Cordellier, M.

Publications and source records attributed to Cordellier, M..

2 recordsLinked to original sources

bioRxiv2018

Daphnia stressor database: Taking advantage of a decade of Daphnia ‘-omics’ data for gene annotation

Gene expression patterns help to measure and characterize the effect of environmental perturbations at the cellular and organism-level. Complicating interpretation is the presence of uncharacterized or \"hypothetical\" gene functions for a large percentage of genomes. This is particularly evident in Daphnia genomes, which contains many regions coding for \"hypothetical proteins\" and are significantly divergent from many of the available arthropod model species, but might be ecologically important. In the present study, we developed a gene expression database, the Daphnia stressor database (http://www.daphnia-stressordb.uni-hamburg.de/dsdbstart.php), built from 90 published studies on Daphnia gene expression. Using a comparative genomics approach, we used the database to annotate D. galeata transcripts. The extensive body of literature available for Daphnia species allowed to associate stressors with gene expression patterns. We believe that our stressor based annotation strategy allows for better understanding and interpretation of the functional role of the understudied hypothetical or uncharacterized Daphnia genes, thereby increasing our understanding of Daphnias genetic and phenotypic variability.

genomics↗

bioRxiv2018

Contrasting patterns of divergence at the regulatory and sequence level in European Daphnia galeata natural populations

Understanding the genetic basis of local adaptation has long been a focus of evolutionary biology. Recently there has been increased interest in deciphering the evolutionary role of Daphnias plasticity and the molecular mechanisms of local adaptation. Using transcriptome data, we assessed the differences in gene expression profiles and sequences in four European Daphnia galeata populations. In total, ~33% of 32,903 transcripts were differentially expressed between populations. Among 10,280 differentially expressed transcripts, 5,209 transcripts deviated from neutral expectations and their population-specific expression pattern is likely the result of local adaptation processes. Furthermore, a SNP analysis allowed inferring population structure and distribution of genetic variation. The population divergence at the sequence-level was comparatively higher than the gene expression level by several orders of magnitude and consistent with strong founder effects and lack of gene flow between populations. Using sequence information, the candidate transcripts were annotated using a comparative genomics approach. Thus, we identified candidate transcriptomic regions for local adaptation in a key species of aquatic ecosystems in the absence of any laboratory induced stressor.

evolutionary biology↗