Evidence map›Paper›PMID 33619336›Full record

ArticleScientific reports2021

RNA-seq analysis reveals different drought tolerance mechanisms in two broadly adapted wheat cultivars 'TAM 111' and 'TAM 112'.

Chenggen Chu, Shichen Wang, Li Paetzold, Zhen Wang, Kele Hui, Jackie C Rudd, Qingwu Xue, Amir M H Ibrahim, Richard Metz, Charles D Johnson and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
10.6field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 52 citations in OpenAlex.

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  8. Transcriptomic Profile of Tef (Plants (Basel, Switzerland) · 2024
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  14. Novel molecules and target genes for vegetative heat tolerance in wheat.Plant-environment interactions (Hoboken, N.J.) · 2022
    Article
  15. Article
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  17. Article
  18. Article
  19. Article
  20. Capturing Wheat Phenotypes at the Genome Level.Frontiers in plant science · 2022
    Review
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 at 2 institutions in 1 country.

Chenggen ChuTexas A&M AgriLife Research Center, 6500 Amarillo Blvd W, Amarillo, TX, 79106, USA. chenggen.chu@usda.gov.
Shichen WangGenomics and Bioinformatics Service Center, Texas A&M AgriLife Research, College Station, TX, 77843, USA.
Li PaetzoldTexas A&M AgriLife Research Center, 6500 Amarillo Blvd W, Amarillo, TX, 79106, USA.
Zhen WangTexas A&M AgriLife Research Center, 6500 Amarillo Blvd W, Amarillo, TX, 79106, USA.
Kele HuiTexas A&M AgriLife Research Center, 6500 Amarillo Blvd W, Amarillo, TX, 79106, USA.
Jackie C RuddTexas A&M AgriLife Research Center, 6500 Amarillo Blvd W, Amarillo, TX, 79106, USA.
Qingwu XueTexas A&M AgriLife Research Center, 6500 Amarillo Blvd W, Amarillo, TX, 79106, USA.
Amir M H IbrahimSoil and Crop Sciences Department, Texas A&M University, College Station, TX, 77843, USA.
Richard MetzGenomics and Bioinformatics Service Center, Texas A&M AgriLife Research, College Station, TX, 77843, USA.
Charles D JohnsonGenomics and Bioinformatics Service Center, Texas A&M AgriLife Research, College Station, TX, 77843, USA.
Charles M RushTexas A&M AgriLife Research Center, 6500 Amarillo Blvd W, Amarillo, TX, 79106, USA.
Shuyu LiuTexas A&M AgriLife Research Center, 6500 Amarillo Blvd W, Amarillo, TX, 79106, USA. SLiu@ag.tamu.edu.
Amarillo College · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat cultivars 'TAM 111' and 'TAM 112' have been dominantly grown in the Southern U.S. Great Plains for many years due to their high yield and drought tolerance. To identify the molecular basis and genetic control of drought tolerance in these two landmark cultivars, RNA-seq analysis was conducted to compare gene expression difference in flag leaves under fully irrigated (wet) and water deficient (dry) conditions. A total of 2254 genes showed significantly altered expression patterns under dry and wet conditions in the two cultivars. TAM 111 had 593 and 1532 dry-wet differentially expressed genes (DEGs), and TAM 112 had 777 and 1670 at heading and grain-filling stages, respectively. The two cultivars have 1214 (53.9%) dry-wet DEGs in common, which agreed with their excellent adaption to drought, but 438 and 602 dry-wet DEGs were respectively shown only in TAM 111 and TAM 112 suggested that each has a specific mechanism to cope with drought. Annotations of all 2254 genes showed 1855 have functions related to biosynthesis, stress responses, defense responses, transcription factors and cellular components related to ion or protein transportation and signal transduction. Comparing hierarchical structure of biological processes, molecule functions and cellular components revealed the significant regulation differences between TAM 111 and TAM 112, particularly for genes of phosphorylation and adenyl ribonucleotide binding, and proteins located in nucleus and plasma membrane. TAM 112 showed more active than TAM 111 in response to drought and carried more specific genes with most of them were up-regulated in responses to stresses of water deprivation, heat and oxidative, ABA-induced signal pathway and transcription regulation. In addition, 258 genes encoding predicted uncharacterized proteins and 141 unannotated genes with no similar sequences identified in the databases may represent novel genes related to drought response in TAM 111 or TAM 112. This research thus revealed different drought-tolerance mechanisms in TAM 111 and TAM 112 and identified useful drought tolerance genes for wheat adaption. Data of gene sequence and expression regulation from this study also provided useful information of annotating novel genes associated with drought tolerance in the wheat genome.

Indexed as

DroughtsGene Expression Regulation, PlantTranscriptomeAdaptation, PhysiologicalComputational BiologyData CurationGene Expression ProfilingGene OntologyHigh-Throughput Nucleotide SequencingQuantitative Trait, HeritableReproducibility of ResultsSequence Analysis, RNAStress, PhysiologicalTriticum

Identifiers

PMID33619336
PMCPMC7900135
OpenAlexW3132484509

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.