Evidence map›Paper›PMID 15480887›Full record

ArticleFunctional & integrative genomics2005

Expression profiling of rice segregating for drought tolerance QTLs using a rice genome array.

Samuel P Hazen, M Safiullah Pathan, Alma Sanchez, Ivan Baxter, Molly Dunn, Bram Estes, Hur-Song Chang, Tong Zhu, Joel A Kreps, Henry T Nguyen

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Article in Functional & integrative genomics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
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30citing papers in PubMed, 2 pooled it
–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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  7. Hsp transcript induction is correlated with physiological changes under drought stress in Indian mustard.Physiology and molecular biology of plants : an international journal of functional plant biology · 2015
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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Samuel P HazenTorrey Mesa Research Institute, Syngenta, 3115 Merryfield Row, San Diego, CA 92121, USA.
M Safiullah Pathan
Alma Sanchez
Ivan Baxter
Molly Dunn
Bram Estes
Hur-Song Chang
Tong Zhu
Joel A Kreps
Henry T Nguyen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants alter their gene expression patterns in response to drought. Sometimes these transcriptional changes are successful adaptations leading to tolerance, while in other instances the plant ultimately fails to adapt to the stress and is labeled as sensitive to that condition. We measured the expression of approximately half of the genes in rice ( approximately 21,000) in phenotypically divergent accessions and their transgressive segregants to associate stress-regulated gene expression changes with quantitative trait loci (QTLs) for osmotic adjustment (OA, a trait associated with drought tolerance). Among the parental lines, a total of 662 transcripts were differentially expressed. Only 12 genes were induced in the low OA parent, CT9993, at moderate dehydration stress levels while over 200 genes were induced in the high OA parent, IR62266. The high and low OA parents had almost entirely different transcriptional responses to dehydration stress suggesting a complete absence of an appropriate response rather than a slower response in CT9993. Sixty-nine genes were up-regulated in all the high OA lines and nine of those genes were not induced in any of the low OA lines. The annotation of four of those genes, sucrose synthase, a pore protein, a heat shock and an LEA protein, suggests a role in maintaining high OA and membrane stability. Of the 3,954-probe sets that correspond to the QTL intervals, very few had a differential expression pattern between the high OA and low OA lines that suggest a role leading to the phenotypic variation. However, several promising candidates were identified for each of the five QTL including a snRNP auxiliary factor, a LEA protein, a protein phosphatase 2C and a Sar1 homolog.

Indexed as

DisastersGene Expression ProfilingOligonucleotide Array Sequence AnalysisOryzaQuantitative Trait LociGenotypeOpen Reading FramesPhenotype

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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.