Evidence map›Paper›PMID 25644024›Full record

ArticleBMC plant biology2015

Transcriptomic changes due to water deficit define a general soybean response and accession-specific pathways for drought avoidance.

Jin Hee Shin, Justin N Vaughn, Hussein Abdel-Haleem, Carolina Chavarro, Brian Abernathy, Kyung Do Kim, Scott A Jackson, Zenglu Li

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
9.3field-weighted citation impact, top 3% of its field
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

27 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
  2. Article
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  7. A Nuclear Factor Y-B Transcription Factor,International journal of molecular sciences · 2022
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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

8 authors at 1 institution in 1 country.

Jin Hee ShinCenter for Applied Genetic Technologies & Department of Crop and Soil Science, University of Georgia, Athens, GA, 30602, USA. kaloseidos@hotmail.com.
Justin N VaughnCenter for Applied Genetic Technologies & Department of Crop and Soil Science, University of Georgia, Athens, GA, 30602, USA. jnvaughn@uga.edu.
Hussein Abdel-HaleemCenter for Applied Genetic Technologies & Department of Crop and Soil Science, University of Georgia, Athens, GA, 30602, USA. hussein@uga.edu.
Carolina ChavarroCenter for Applied Genetic Technologies & Department of Crop and Soil Science, University of Georgia, Athens, GA, 30602, USA. mcch@uga.edu.
Brian AbernathyCenter for Applied Genetic Technologies & Department of Crop and Soil Science, University of Georgia, Athens, GA, 30602, USA. bla@uga.edu.
Kyung Do KimCenter for Applied Genetic Technologies & Department of Crop and Soil Science, University of Georgia, Athens, GA, 30602, USA. kkim@uga.edu.
Scott A JacksonCenter for Applied Genetic Technologies & Department of Crop and Soil Science, University of Georgia, Athens, GA, 30602, USA. sjackson@uga.edu.
Zenglu LiCenter for Applied Genetic Technologies & Department of Crop and Soil Science, University of Georgia, Athens, GA, 30602, USA. zli@uga.edu.
University of Georgia · US

Funding

Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
NCATS NIH HHS UL1 TR001082
6 · The paper itself

Abstract

backgroundAmong abiotic stresses, drought is the most common reducer of crop yields. The slow-wilting soybean genotype PI 416937 is somewhat robust to water deficit and has been used previously to map the trait in a bi-parental population. Since drought stress response is a complex biological process, whole genome transcriptome analysis was performed to obtain a deeper understanding of the drought response in soybean.

resultsContrasting data from PI 416937 and the cultivar 'Benning', we developed a classification system to identify genes that were either responding to water-deficit in both genotypes or that had a genotype x environment (GxE) response. In spite of very different wilting phenotypes, 90% of classifiable genes had either constant expression in both genotypes (33%) or very similar response profiles (E genes, 57%). By further classifying E genes based on expression profiles, we were able to discern the functional specificity of transcriptional responses at particular stages of water-deficit, noting both the well-known reduction in photosynthesis genes as well as the less understood up-regulation of the protein transport pathway. Two percent of classifiable genes had a well-defined GxE response, many of which are located within slow-wilting QTLs. We consider these strong candidates for possible causal genes underlying PI 416937's unique drought avoidance strategy.

conclusionsThere is a general and functionally significant transcriptional response to water deficit that involves not only known pathways, such as down-regulation of photosynthesis, but also up-regulation of protein transport and chromatin remodeling. Genes that show a genotypic difference are more likely to show an environmental response than genes that are constant between genotypes. In this study, at least five genes that clearly exhibited a genotype x environment response fell within known QTL and are very good candidates for further research into slow-wilting.

Indexed as

DroughtsTranscriptomeWaterGlycine maxWater

Identifiers

PMID25644024
PMCPMC4322458
OpenAlexW2053782111

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LicenceCC BY
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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.