Evidence map›Paper›PMID 32380773›Full record

ArticleGenes2020

Transcriptome Analysis Reveals Important Candidate Genes Related to Nutrient Reservoir, Carbohydrate Metabolism, and Defence Proteins during Grain Development of Hexaploid Bread Wheat and Its Diploid Progenitors.

Megha Kaushik, Shubham Rai, Sureshkumar Venkadesan, Subodh Kumar Sinha, Sumedha Mohan, Pranab Kumar Mandal

Open access · goldAbstract readComparative StudyValidation Study
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Genome-Wide Identification and Expression Analysis ofInternational journal of molecular sciences · 2024
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  4. Article
  5. 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

6 authors at 2 institutions in 1 country.

Megha KaushikIndian Council of Agricultural Research -National Institute on Plant Biotechnology (ICAR-NIPB), LBS Building, Pusa Campus, New Delhi-110012, India.
Shubham RaiIndian Council of Agricultural Research -National Institute on Plant Biotechnology (ICAR-NIPB), LBS Building, Pusa Campus, New Delhi-110012, India.
Sureshkumar VenkadesanIndian Council of Agricultural Research -National Institute on Plant Biotechnology (ICAR-NIPB), LBS Building, Pusa Campus, New Delhi-110012, India.ORCID 0000-0002-8941-2014
Subodh Kumar SinhaIndian Council of Agricultural Research -National Institute on Plant Biotechnology (ICAR-NIPB), LBS Building, Pusa Campus, New Delhi-110012, India.
Sumedha MohanAmity Institute of Biotechnology (AIB), Amity University, Sector 125, Noida, Uttar Pradesh 201313, India.
Pranab Kumar MandalIndian Council of Agricultural Research -National Institute on Plant Biotechnology (ICAR-NIPB), LBS Building, Pusa Campus, New Delhi-110012, India.ORCID 0000-0001-9131-538X
Indian Council of Agricultural Research · INAmity University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat grain development after anthesis is an important biological process, in which major components of seeds are synthesised, and these components are further required for germination and seed vigour. We have made a comparative RNA-Seq analysis between hexaploid wheat and its individual diploid progenitors to know the major differentially expressed genes (DEGs) involved during grain development. Two libraries from each species were generated with an average of 55.63, 55.23, 68.13, and 103.81 million reads, resulting in 79.3K, 113.7K, 90.6K, and 121.3K numbers of transcripts in AA, BB, DD, and AABBDD genome species respectively. Number of expressed genes in hexaploid wheat was not proportional to its genome size, but marginally higher than that of its diploid progenitors. However, to capture all the transcripts in hexaploid wheat, sufficiently higher number of reads was required. Functional analysis of DEGs, in all the three comparisons, showed their predominance in three major classes of genes during grain development, i.e., nutrient reservoirs, carbohydrate metabolism, and defence proteins; some of them were subsequently validated through real time quantitative Reverse Transcription Polymerase Chain Reaction (qRT-PCR). Further, developmental stage-specific gene expression showed most of the defence protein genes expressed during initial developmental stages in hexaploid contrary to the diploids at later stages. Genes related to carbohydrates anabolism expressed during early stages, whereas catabolism genes expressed at later stages in all the species. However, no trend was observed in case of different nutrient reservoirs gene expression. This data could be used to study the comparative gene expression among the three diploid species and homeologue-specific expression in hexaploid.

Indexed as

Gene Expression ProfilingGene Expression Regulation, PlantGenes, PlantAegilopsCarbohydrate MetabolismDiploidyGene Expression Regulation, DevelopmentalGene LibraryGene OntologyNutrientsPlant ProteinsPolyploidyReal-Time Polymerase Chain ReactionRNA, PlantRNA-SeqSeedsNutrientsPlant ProteinsRNA, Plantcarbohydrate metabolismdefence proteindiploidhexaploidnutrient reservoirRNA-seqtranscriptomewheat

Identifiers

PMID32380773
PMCPMC7290843
OpenAlexW3023106312

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LicenceCC BY
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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.