Evidence map›Paper›PMID 18325108›Full record

ArticleBMC genomics2008

Transcriptome analysis of grain development in hexaploid wheat.

Yongfang Wan, Rebecca L Poole, Alison K Huttly, Claudia Toscano-Underwood, Kevin Feeney, Sue Welham, Mike J Gooding, Clare Mills, Keith J Edwards, Peter R Shewry and 1 more

Abstract read
In one paragraph

Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.

0numbers the graph read from it
0cells of the map it votes in
102citing 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

102 citing papers in PubMed.

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  14. Wheat omics: Classical breeding to new breeding technologies.Saudi journal of biological sciences · 2021
    Review
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42 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

11 authors.

Yongfang WanRothamsted Research, Harpenden, Hertfordshire, UK. yongfang.wan@bbsrc.ac.uk
Rebecca L Poole
Alison K Huttly
Claudia Toscano-Underwood
Kevin Feeney
Sue Welham
Mike J Gooding
Clare Mills
Keith J Edwards
Peter R Shewry
Rowan Ac Mitchell

Funding

Biotechnology and Biological Sciences Research Council BBS/B/13640Biotechnology and Biological Sciences Research Council BBS/E/C/00004937Biotechnology and Biological Sciences Research Council EGA17694
6 · The paper itself

Abstract

backgroundHexaploid wheat is one of the most important cereal crops for human nutrition. Molecular understanding of the biology of the developing grain will assist the improvement of yield and quality traits for different environments. High quality transcriptomics is a powerful method to increase this understanding.

resultsThe transcriptome of developing caryopses from hexaploid wheat (Triticum aestivum, cv. Hereward) was determined using Affymetrix wheat GeneChip oligonucleotide arrays which have probes for 55,052 transcripts. Of these, 14,550 showed significant differential regulation in the period between 6 and 42 days after anthesis (daa). Large changes in transcript abundance were observed which were categorised into distinct phases of differentiation (6-10 daa), grain fill (12-21 daa) and desiccation/maturation (28-42 daa) and were associated with specific tissues and processes. A similar experiment on developing caryopses grown with dry and/or hot environmental treatments was also analysed, using the profiles established in the first experiment to show that most environmental treatment effects on transcription were due to acceleration of development, but that a few transcripts were specifically affected. Transcript abundance profiles in both experiments for nine selected known and putative wheat transcription factors were independently confirmed by real time RT-PCR. These expression profiles confirm or extend our knowledge of the roles of the known transcription factors and suggest roles for the unknown ones.

conclusionThis transcriptome data will provide a valuable resource for molecular studies on wheat grain. It has been demonstrated how it can be used to distinguish general developmental shifts from specific effects of treatments on gene expression and to diagnose the probable tissue specificity and role of transcription factors.

Indexed as

PolyploidyGene Expression ProfilingGene Expression Regulation, PlantOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionSeedsTriticum

Identifiers

PMID18325108
PMCPMC2292175

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LicenceCC BY
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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.