Evidence map›Paper›PMID 23803858›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Comparative transcriptomics reveals patterns of selection in domesticated and wild tomato.

Daniel Koenig, José M Jiménez-Gómez, Seisuke Kimura, Daniel Fulop, Daniel H Chitwood, Lauren R Headland, Ravi Kumar, Michael F Covington, Upendra Kumar Devisetty, An V Tat and 15 more

Abstract readComparative Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

178 citing papers in PubMed.

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118 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Daniel KoenigDepartment of Plant Biology, University of California, Davis, CA 95616, USA.
José M Jiménez-Gómez
Seisuke Kimura
Daniel Fulop
Daniel H Chitwood
Lauren R Headland
Ravi Kumar
Michael F Covington
Upendra Kumar Devisetty
An V Tat
Takayuki Tohge
Anthony Bolger
Korbinian Schneeberger
Stephan Ossowski
Christa Lanz
Guangyan Xiong
Mallorie Taylor-Teeples
Siobhan M Brady
Markus Pauly
Detlef Weigel
Björn Usadel
Alisdair R Fernie
Jie Peng
Neelima R Sinha
Julin N Maloof

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Selection, GeneticTranscriptomeGene Expression Regulation, PlantGenes, PlantSolanum lycopersicumabiotic stressbiotic stressdomestication

Identifiers

PMID23803858
PMCPMC3710864

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.