Evidence map›Paper›PMID 36293517›Full record

ArticleInternational journal of molecular sciences2022

Transcriptome Analysis of Developing Grains from Wheat Cultivars TAM 111 and TAM 112 Reveal Cultivar-Specific Regulatory Networks.

Ze-Tian Fang, Rajan Kapoor, Aniruddha Datta, Shuyu Liu, Matthew A Stull, Paige G Seitz, Charles D Johnson, Sakiko Okumoto

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Comparative Genomics and Functional Genomics Analysis in Plants.International journal of molecular sciences · 2023
    Article
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 2 institutions in 1 country.

Ze-Tian FangDepartment of Soil and Crop Sciences, Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77843, USA.
Rajan KapoorDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.
Aniruddha DattaDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.
Shuyu LiuTexas A&M AgriLife Research Center, 6500 Amarillo Blvd W, Amarillo, TX 79106, USA.ORCID 0000-0003-4748-2900
Matthew A StullTexas A&M AgriLife Genomics and Bioinformatics Service, College Station, TX 77845, USA.ORCID 0000-0002-5472-4413
Paige G SeitzDepartment of Soil and Crop Sciences, Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-9296-8638
Charles D JohnsonTexas A&M AgriLife Genomics and Bioinformatics Service, College Station, TX 77845, USA.ORCID 0000-0003-3892-7082
Sakiko OkumotoDepartment of Soil and Crop Sciences, Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77843, USA.
Texas A&M University · USAmarillo College · US

Funding

National Science Foundation IOS 135336National Science Foundation MCB 1052048Texas A&M University Lloyd and Maxine Rooney FellowshipTexas A&M University Molecular and Environmental Sciences programTexas A&M University X-grant programUnited States Department of Agriculture 2019-67013-29172United States Department of Agriculture 2022-68013-36439
6 · The paper itself

Abstract

Wheat flour's end-use quality is tightly linked to the quantity and composition of storage proteins in the endosperm. TAM 111 and TAM 112 are two popular cultivars grown in the Southern US Great Plains with significantly different protein content. To investigate regulatory differences, transcriptome data were analyzed from developing grains at early- and mid-filling stages. At the mid-filling stage, TAM 111 preferentially upregulated starch metabolism-related pathways compared to TAM 112, whereas amino acid metabolism and transporter-related pathways were over-represented in TAM 112. Elemental analyses also indicated a higher N percentage in TAM 112 at the mid-filling stage. To explore the regulatory variation, weighted correlation gene network was constructed from publicly available RNAseq datasets to identify the modules differentially regulated in TAM 111 and TAM 112. Further, the potential transcription factors (TFs) regulating those modules were identified using graphical least absolute shrinkage and selection operator (GLASSO). Homologs of the OsNF-Y family members with known starch metabolism-related functions showed higher connectivities in TAM 111. Multiple TFs with high connectivity in TAM 112 had predicted functions associated with ABA response in grain. These results will provide novel targets for breeders to explore and further our understanding in mechanisms regulating grain development.

Indexed as

Plant ProteinsTriticumAmino AcidsEdible GrainFlourGene Expression ProfilingGene Expression Regulation, PlantStarchTranscription FactorsTranscriptomeAmino AcidsPlant ProteinsStarchTranscription Factorsgene networkgrainsnitrogentranscriptomewheat

Identifiers

PMID36293517
PMCPMC9604430
OpenAlexW4307263615

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.