Evidence map›Paper›PMID 26769043›Full record

ArticleBMC genomics2016

Genome-wide transcriptome analysis of soybean primary root under varying water-deficit conditions.

Li Song, Silvas Prince, Babu Valliyodan, Trupti Joshi, Joao V Maldonado dos Santos, Jiaojiao Wang, Li Lin, Jinrong Wan, Yongqin Wang, Dong Xu and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
27.4field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 137 citations in OpenAlex.

  1. Pooled it
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  14. RNA Sequencing Analysis and Verification ofPlants (Basel, Switzerland) · 2024
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  16. RNA-seq profiling in leaf tissues of two soybean (Molecular breeding : new strategies in plant improvement · 2023
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  17. Overexpression of soybeanFrontiers in plant science · 2023
    Article
  18. Review
  19. Article
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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

11 authors at 1 institution in 1 country.

Li SongDivision of Plant Science and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO, 65211, USA. songli@missouri.edu.
Silvas PrinceDivision of Plant Science and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO, 65211, USA. princesj@missouri.edu.
Babu ValliyodanDivision of Plant Science and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO, 65211, USA. valliyodanb@missouri.edu.
Trupti JoshiDepartment of Computer Science, and Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA. joshitr@missouri.edu.
Joao V Maldonado dos SantosDivision of Plant Science and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO, 65211, USA. maldonadodossantosj@missouri.edu.
Jiaojiao WangDepartment of Computer Science, and Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA. jwqrd@mail.missouri.edu.
Li LinDivision of Plant Science and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO, 65211, USA. Linl@missouri.edu.
Jinrong WanDivision of Plant Science and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO, 65211, USA. wanj@missouri.edu.
Yongqin WangDivision of Plant Science and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO, 65211, USA. yongqin.w@gmail.com.
Dong XuDepartment of Computer Science, and Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA. xudong@missouri.edu.
Henry T NguyenDivision of Plant Science and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO, 65211, USA. nguyenhenry@missouri.edu.
University of Missouri · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSoybean is a major crop that provides an important source of protein and oil to humans and animals, but its production can be dramatically decreased by the occurrence of drought stress. Soybeans can survive drought stress if there is a robust and deep root system at the early vegetative growth stage. However, little is known about the genome-wide molecular mechanisms contributing to soybean root system architecture. This study was performed to gain knowledge on transcriptome changes and related molecular mechanisms contributing to soybean root development under water limited conditions.

resultsThe soybean Williams 82 genotype was subjected to very mild stress (VMS), mild stress (MS) and severe stress (SS) conditions, as well as recovery from the severe stress after re-watering (SR). In total, 6,609 genes in the roots showed differential expression patterns in response to different water-deficit stress levels. Genes involved in hormone (Auxin/Ethylene), carbohydrate, and cell wall-related metabolism (XTH/lipid/flavonoids/lignin) pathways were differentially regulated in the soybean root system. Several transcription factors (TFs) regulating root growth and responses under varying water-deficit conditions were identified and the expression patterns of six TFs were found to be common across the stress levels. Further analysis on the whole plant level led to the finding of tissue-specific or water-deficit levels specific regulation of transcription factors. Analysis of the over-represented motif of different gene groups revealed several new cis-elements associated with different levels of water deficit. The expression patterns of 18 genes were confirmed byquantitative reverse transcription polymerase chain reaction method and demonstrated the accuracy and effectiveness of RNA-Seq.

conclusionsThe primary root specific transcriptome in soybean can enable a better understanding of the root response to water deficit conditions. The genes detected in root tissues that were associated with key hormones, carbohydrates, and cell wall-related metabolism could play a vital role in achieving drought tolerance and could be promising candidates for future functional characterization. TFs involved in the soybean root and at the whole plant level could be used for future network analysis between TFs and cis-elements. All of these findings will be helpful in elucidating the molecular mechanisms associated with water stress responses in soybean roots.

Indexed as

DehydrationDroughtsGene Expression ProfilingGene Expression Regulation, PlantGenotypeGlycine maxHigh-Throughput Nucleotide SequencingPlant LeavesPlant RootsTranscriptomeWaterWater

Identifiers

PMID26769043
PMCPMC4714440
OpenAlexW2234549066

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.