Evidence map›Paper›PMID 29651660›Full record

ArticleProtoplasma2018

Comparative analysis of transcriptome in two wheat genotypes with contrasting levels of drought tolerance.

Jitendra Kumar, Samatha Gunapati, Shahryar F Kianian, Sudhir P Singh

Abstract read
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In one paragraph

Article in Protoplasma, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
10.5field-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

17 citing papers in PubMed, 38 citations in OpenAlex.

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  11. Frontiers in plant science · 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

4 authors at 4 institutions in 2 countries.

Jitendra KumarNational Agri-Food Biotechnology Institute, Mohali, India.
Samatha GunapatiDepartment of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, USA.
Shahryar F KianianUSDA-ARS Cereal Disease Laboratory, St. Paul, MN, USA.
Sudhir P SinghNational Agri-Food Biotechnology Institute, Mohali, India. pratapsudhir17@gmail.com.
Cereal Disease Laboratory · USInstitute of Bioinformatics and Applied Biotechnology · INNational Agri-Food Biotechnology Institute · INUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought tolerance is a complex trait that is governed by multiple genes. The study presents differential transcriptome analysis between drought-tolerant (Triticum aestivum Cv. C306) and drought-sensitive (Triticum aestivum Cv. WL711) genotypes, using Affymetrix GeneChip® Wheat Genome Array. Both genotypes exhibited diverse global transcriptional responses under control and drought conditions. Pathway analysis suggested significant induction or repression of genes involved in secondary metabolism, nucleic acid synthesis, protein synthesis, and transport in C306, as compared to WL711. Significant up- and downregulation of transcripts for enzymes, hormone metabolism, and stress response pathways were observed in C306 under drought. The elevated expression of plasma membrane intrinsic protein 1 and downregulation of late embryogenesis abundant in the leaf tissues could play an important role in delayed wilting in C306. The other regulatory genes such as MT, FT, AP2, SKP1, ABA2, ARF6, WRKY6, AOS, and LOX2 are involved in defense response in C306 genotype. Additionally, transcripts with unknown functions were identified as differentially expressed, which could participate in drought responses.

Indexed as

DroughtsGene Expression ProfilingGene Expression Regulation, PlantGenotypePlant LeavesTranscriptomeTriticumAbiotic stressComparative transcriptomeMicroarrayStress toleranceWheat

Identifiers

PMID29651660
OpenAlexW2796497799

What OpenQuestion holds

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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.