Expression quantitative trait locus mapping across water availability environments reveals contrasting associations with genomic features in Arabidopsis.

Details

Serval ID
serval:BIB_B99C9080177E
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Expression quantitative trait locus mapping across water availability environments reveals contrasting associations with genomic features in Arabidopsis.
Journal
Plant Cell
Author(s)
Lowry D.B., Logan T.L., Santuari L., Hardtke C.S., Richards J.H., DeRose-Wilson L.J., McKay J.K., Sen S., Juenger T.E.
ISSN
1532-298X (Electronic)
ISSN-L
1040-4651
Publication state
Published
Issued date
2013
Volume
25
Number
9
Pages
3266-3279
Language
english
Abstract
The regulation of gene expression is crucial for an organism's development and response to stress, and an understanding of the evolution of gene expression is of fundamental importance to basic and applied biology. To improve this understanding, we conducted expression quantitative trait locus (eQTL) mapping in the Tsu-1 (Tsushima, Japan) × Kas-1 (Kashmir, India) recombinant inbred line population of Arabidopsis thaliana across soil drying treatments. We then used genome resequencing data to evaluate whether genomic features (promoter polymorphism, recombination rate, gene length, and gene density) are associated with genes responding to the environment (E) or with genes with genetic variation (G) in gene expression in the form of eQTLs. We identified thousands of genes that responded to soil drying and hundreds of main-effect eQTLs. However, we identified very few statistically significant eQTLs that interacted with the soil drying treatment (GxE eQTL). Analysis of genome resequencing data revealed associations of several genomic features with G and E genes. In general, E genes had lower promoter diversity and local recombination rates. By contrast, genes with eQTLs (G) had significantly greater promoter diversity and were located in genomic regions with higher recombination. These results suggest that genomic architecture may play an important a role in the evolution of gene expression.
Pubmed
Web of science
Open Access
Yes
Create date
23/01/2014 11:04
Last modification date
20/08/2019 15:27
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