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Comparative transcriptomics reveals patterns of selection in domesticated and wild tomato

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TLDR
High-throughput sequencing is used to identify changes in DNA sequence and gene expression that differentiate cultivated tomato and its wild relatives and identifies hundreds of candidate genes that have evolved new protein sequences or have changed expression levels in response to natural selection in wild tomato relatives.
Abstract
Although applied over extremely short timescales, artificial selection has dramatically altered the form, physiology, and life history of cultivated plants. We have used RNAseq to define both gene sequence and expression divergence between cultivated tomato and five related wild species. Based on sequence differences, we detect footprints of positive selection in over 50 genes. We also document thousands of shifts in gene-expression level, many of which resulted from changes in selection pressure. These rapidly evolving genes are commonly associated with environmental response and stress tolerance. The importance of environmental inputs during evolution of gene expression is further highlighted by large-scale alteration of the light response coexpression network between wild and cultivated accessions. Human manipulation of the genome has heavily impacted the tomato transcriptome through directed admixture and by indirectly favoring nonsynonymous over synonymous substitutions. Taken together, our results shed light on the pervasive effects artificial and natural selection have had on the transcriptomes of tomato and its wild relatives.

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A New Advanced Backcross Tomato Population Enables High Resolution Leaf QTL Mapping and Gene Identification

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Genome‐wide patterns of regulatory divergence revealed by introgression lines

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Population transcriptomics reveals a potentially positive role of expression diversity in adaptation

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Hydrophilic antioxidants from Andean tomato landraces assessed by their bioactivities in vitro and in vivo

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References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
Journal ArticleDOI

The tomato genome sequence provides insights into fleshy fruit evolution

Shusei Sato, +323 more
- 31 May 2012 - 
TL;DR: A high-quality genome sequence of domesticated tomato is presented, a draft sequence of its closest wild relative, Solanum pimpinellifolium, is compared, and the two tomato genomes are compared to each other and to the potato genome.
Journal ArticleDOI

A codon-based model of nucleotide substitution for protein-coding DNA sequences.

TL;DR: Analyses of two data sets suggest that the new codon-based model can provide a better fit to data than can nucleotide-based models and can produce more reliable estimates of certain biologically important measures such as the transition/transversion rate ratio and the synonymous/nonsynonymous substitution rate ratio.
Journal ArticleDOI

Genome sequence and analysis of the tuber crop potato.

Xun Xu, +96 more
- 10 Jul 2011 - 
TL;DR: The potato genome sequence provides a platform for genetic improvement of this vital crop and predicts 39,031 protein-coding genes and presents evidence for at least two genome duplication events indicative of a palaeopolyploid origin.
Journal ArticleDOI

Pectin structure and biosynthesis

TL;DR: New developments in understanding pectin structure, function, and biosynthesis indicate that these polysaccharides have roles in both primary and secondary cell walls.
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