Evidence map›Paper›PMID 35907118›Full record

ArticleMolecular biology reports2022

Transcriptomics for Drought Stress Mediated by Biological Processes in-relation to Key Regulated Pathways in Gossypium darwinii.

Cuilian Xu, Muhammad Kashif Ilyas, Richard Odongo Magwanga, Hejun Lu, M Kashif Riaz Khan, Zhongli Zhou, Yujun Li, Zhengcheng Kuang, Asif Javaid, Danish Ibrar and 4 more

Abstract read
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In one paragraph

Article in Molecular biology reports, 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, 2 citations in OpenAlex.

  1. 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

14 authors at 5 institutions in 3 countries.

Cuilian XuResearch Base of Tarium, University of State Key Laboratory of Cotton Biology, Tarium University, Alar, 843300, Xinjiang, China. xclzky@163.com.
Muhammad Kashif IlyasState Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Richard Odongo MagwangaState Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Hejun LuState Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
M Kashif Riaz KhanState Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Zhongli ZhouState Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Yujun LiCotton Sciences Research Institute of Hunan/National Hybrid Cotton Research Promotion Center, Changde, 415101, Hunan, China.
Zhengcheng KuangCotton Sciences Research Institute of Hunan/National Hybrid Cotton Research Promotion Center, Changde, 415101, Hunan, China.
Asif JavaidNational Agricultural Research Centre, Park Road, Islamabad, Pakistan.
Danish IbrarNational Agricultural Research Centre, Park Road, Islamabad, Pakistan.
Abdul GhafoorNational Agricultural Research Centre, Park Road, Islamabad, Pakistan. ghafoor59pk@yahoo.com.ORCID http://orcid.org/0000-0002-3079-1021
Kunbo WangState Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Fang LiuState Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
Haodong ChenCotton Sciences Research Institute of Hunan/National Hybrid Cotton Research Promotion Center, Changde, 415101, Hunan, China. chdmks@163.com.
Cotton Research Institute · CNPakistan Agricultural Research Council · PKJaramogi Oginga Odinga University of Science and Technology · KENuclear Institute for Agriculture and Biology · PKTarim University · CN

Funding

National Key R&D Program of China 2021YFE0101200
6 · The paper itself

Abstract

backgroundWild cotton Gossypium darwinii, an allotetraploid harbours important traits useful for tolerating abiotic stress, i.e., drought, salt and good genetic stability, hence these characteristics can be transferred to cultivated cotton for genetic improvement. MATERIALS AND

methodsIn this study, we analyzed the RNA-seq transcriptomes from leaves of G. darwinii seedlings with and without drought stress. A total of 86.7 million valid reads with an average length of 95.79 bp were generated from the two samples and 58,960 transcripts with a length of more than 500 bp were assembled. We searched the known proteins on the strength of sequence similarity; these transcripts were annotated with COG, KEGG and GO functional categories. According to gene expression abundance RPKM value, we carried out RT-qPCR analysis to determine the expression pattern of the obtained transcription factors.

resultsA total of 58,960 genes was differentially expressed (DEG), with 32,693 and 25,919 genes found to be upregulated and downregulated, respectively. Through gene ontology and KEGG pathways, the upregulated genes were found to associate with all the GO terms, molecular functions (MF), biological process (BP) and cellular components (CC), which are highly linked to enhancing drought stress tolerance.

conclusionThe study provides an in-depth knowledge of regulation of pathways and genes involved in photosynthesis during drought stress in G. darwinii. These pathways and genes were found to be significantly downregulated and this information could be further utilized by cotton breeders in developing a more drought tolerant cotton germplasm.

Indexed as

DroughtsGossypiumGene Expression Regulation, PlantSeedlingsStress, PhysiologicalTranscriptomeAbiotic stressGene expressionGossypium darwiniiTranscriptome sequencing

Identifiers

PMID35907118
OpenAlexW4288801630

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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.