Evidence map›Paper›PMID 19534823›Full record

ArticleBMC genomics2009

Assessment of adaptive evolution between wheat and rice as deduced from full-length common wheat cDNA sequence data and expression patterns.

Kanako Kawaura, Keiichi Mochida, Akiko Enju, Yasushi Totoki, Atsushi Toyoda, Yoshiyuki Sakaki, Chikatoshi Kai, Jun Kawai, Yoshihide Hayashizaki, Motoaki Seki and 2 more

Abstract read
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Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

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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

12 authors.

Kanako KawauraKihara Institute for Biological Research, Yokohama City University, Maioka-cho 641-12, Yokohama 244-0813, Japan. kawaura@yokohama-cu.ac.jp
Keiichi Mochida
Akiko Enju
Yasushi Totoki
Atsushi Toyoda
Yoshiyuki Sakaki
Chikatoshi Kai
Jun Kawai
Yoshihide Hayashizaki
Motoaki Seki
Kazuo Shinozaki
Yasunari Ogihara

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWheat is an allopolyploid plant that harbors a huge, complex genome. Therefore, accumulation of expressed sequence tags (ESTs) for wheat is becoming particularly important for functional genomics and molecular breeding. We prepared a comprehensive collection of ESTs from the various tissues that develop during the wheat life cycle and from tissues subjected to stress. We also examined their expression profiles in silico. As full-length cDNAs are indispensable to certify the collected ESTs and annotate the genes in the wheat genome, we performed a systematic survey and sequencing of the full-length cDNA clones. This sequence information is a valuable genetic resource for functional genomics and will enable carrying out comparative genomics in cereals.

resultsAs part of the functional genomics and development of genomic wheat resources, we have generated a collection of full-length cDNAs from common wheat. By grouping the ESTs of recombinant clones randomly selected from the full-length cDNA library, we were able to sequence 6,162 independent clones with high accuracy. About 10% of the clones were wheat-unique genes, without any counterparts within the DNA database. Wheat clones that showed high homology to those of rice were selected in order to investigate their expression patterns in various tissues throughout the wheat life cycle and in response to abiotic-stress treatments. To assess the variability of genes that have evolved differently in wheat and rice, we calculated the substitution rate (Ka/Ks) of the counterparts in wheat and rice. Genes that were preferentially expressed in certain tissues or treatments had higher Ka/Ks values than those in other tissues and treatments, which suggests that the genes with the higher variability expressed in these tissues is under adaptive selection.

conclusionWe have generated a high-quality full-length cDNA resource for common wheat, which is essential for continuation of the ongoing curation and annotation of the wheat genome. The data for each clone's expression in various tissues and stress treatments and its variability in wheat and rice as a result of their diversification are valuable tools for functional genomics in wheat and for comparative genomics in cereals.

Indexed as

Evolution, MolecularAdaptation, BiologicalDNA, ComplementaryDNA, PlantExpressed Sequence TagsGene Expression ProfilingGene Expression Regulation, PlantGene LibraryGenes, PlantGenomicsOryzaSalt-Tolerant PlantsSequence Analysis, DNAStress, PhysiologicalTriticumDNA, ComplementaryDNA, Plant

Identifiers

PMID19534823
PMCPMC2703658

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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.