Biology subjects

Cristina Vieira

Publications and source records attributed to Cristina Vieira.

3 recordsLinked to original sources

bioRxiv2016

High-Throughput Sequencing of Transposable Elements Insertions Provides Evidence for Adaptive Evolution of the Invasive Asian Tiger Mosquito Towards Temperate Environments

Invasive species represent unique opportunities to evaluate the role of local adaptation during colonization of new environments. Among these species, the Asian tiger mosquito, Aedes albopictus, is a threatening vector of several human viral diseases, including dengue and chikungunya, and raises concerns about the Zika fever. Its broad presence in both temperate and tropical environments has been considered the reflection of great \"ecological plasticity\". However, no study has been conducted to assess the role of adaptive evolution in the ecological success of Ae. albopictus at the molecular level. In the present study, we performed a genomic scan to search for potential signatures of selection leading to local adaptation in one-hundred-forty field-collected mosquitoes from native populations of Vietnam and temperate invasive populations of Europe. High-throughput genotyping of transposable element insertions led to the discovery of more than 120 000 polymorphic loci, which, in their great majority, revealed a virtual absence of structure between the bio-geographic areas. Nevertheless, 92 outlier loci showed a high level of differentiation between temperate and tropical populations. The majority of these loci segregates at high insertion frequencies among European populations, indicating that this pattern could have been caused by recent adaptive evolution events in temperate areas. An analysis of the overlapping and neighboring genes highlighted several candidates, including diapause, lipid and juvenile hormone pathways.

Genomics↗

bioRxiv2016

Stress affects the epigenetic marks added by Bari-Jheh: a natural insertion associated with two adaptive phenotypes in Drosophila

Transposable elements are emerging as an important source of cis-acting regulatory sequences and epigenetic marks that could influence gene expression. However, few studies have dissected the role of specific transposable element insertions on epigenetic gene regulation. Bari-Jheh is a natural transposon that mediates resistance to oxidative stress by adding cis-regulatory sequences that affect expression of nearby genes. In this work, we integrated publicly available data with chromatin immunoprecipitation experiments to get a more comprehensive picture of Bari-Jheh molecular effects. We showed that Bari-Jheh was enriched for H3K9me3 in nonstress conditions, and for H3K9me3, H3K4me3 and H3K27me3 in oxidative stress conditions, which is consistent with expression changes in adjacent genes. We further showed that under oxidative stress conditions, H3K4me3 and H3K9me3 spread to the promoter region of Jheh1 gene. Finally, another insertion of the Bari1 family was associated with increased H3K27me3 in oxidative stress conditions suggesting that Bari1 histone marks are copy-specific. We concluded that besides adding cis-regulatory sequences, Bari-Jheh influences gene expression by affecting the local chromatin state.

Evolutionary Biology↗

bioRxiv2015

De novo identification, differential analysis and functional annotation of SNPs from RNA-seq data in non-model species

SNPs (Single Nucleotide Polymorphisms) are genetic markers whose precise identification is a prerequisite for association studies. Methods to identify them are currently well developed for model species, but rely on the availability of a (good) reference genome, and therefore cannot be applied to non-model species. They are also mostly tailored for whole genome (re-)sequencing experiments, whereas in many cases, transcriptome sequencing can be used as a cheaper alternative which already enables to identify SNPs located in transcribed regions. In this paper, we propose a method that identifies, quantifies and annotates SNPs without any reference genome, using RNA-seq data only. Individuals can be pooled prior to sequencing, if not enough material is available for sequencing from one individual. Using human RNA-seq data, we first compared the performance of our method with GO_SCPLOWATKC_SCPLOW, a well established method that requires a reference genome. We showed that both methods predict SNPs with similar accuracy. We then validated experimentally the predictions of our method using RNA-seq data from two non-model species. The method can be used for any species to annotate SNPs and predict their impact on proteins. We further enable to test for the association of the identified SNPs with a phenotype of interest.

Bioinformatics↗