Evidence map›Paper›PMID 31624240›Full record

ArticleNature communications2019

Multi-strategic RNA-seq analysis reveals a high-resolution transcriptional landscape in cotton.

Kun Wang, Dehe Wang, Xiaomin Zheng, Ai Qin, Jie Zhou, Boyu Guo, Yanjun Chen, Xingpeng Wen, Wen Ye, Yu Zhou and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
–field-weighted citation impact
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

65 citing papers in PubMed.

  1. Review
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  3. The entireAntimicrobial agents and chemotherapy · 2026
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  6. A comprehensive landscape of theFrontiers in plant science · 2026
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  7. Article
  8. MEPDB: Database of microExons in plants.The New phytologist · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Leaky ribosomal scanning enables tunable translation of bicistronic ORFs in green algae.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. A Genome-Wide Alternative Splicing Analysis ofPlants (Basel, Switzerland) · 2024
    Article
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

11 authors.

Kun WangCollege of Life Sciences, Wuhan University, 430072, Wuhan, Hubei, China.ORCID http://orcid.org/0000-0001-5910-1568
Dehe WangCollege of Life Sciences, Wuhan University, 430072, Wuhan, Hubei, China.ORCID http://orcid.org/0000-0002-9465-0957
Xiaomin ZhengCollege of Life Sciences, Wuhan University, 430072, Wuhan, Hubei, China.
Ai QinCollege of Life Sciences, Wuhan University, 430072, Wuhan, Hubei, China.
Jie ZhouCollege of Life Sciences, Wuhan University, 430072, Wuhan, Hubei, China.
Boyu GuoCollege of Life Sciences, Wuhan University, 430072, Wuhan, Hubei, China.
Yanjun ChenCollege of Life Sciences, Wuhan University, 430072, Wuhan, Hubei, China.
Xingpeng WenInstitute for Advanced Studies, Wuhan University, 430072, Wuhan, Hubei, China.
Wen YeMedical Research Institute, School of Medicine, Wuhan University, 430072, Wuhan, Hubei, China.
Yu ZhouCollege of Life Sciences, Wuhan University, 430072, Wuhan, Hubei, China. yu.zhou@whu.edu.cn.ORCID http://orcid.org/0000-0002-2102-9377
Yuxian ZhuCollege of Life Sciences, Wuhan University, 430072, Wuhan, Hubei, China. zhuyx@whu.edu.cn.ORCID http://orcid.org/0000-0003-2371-5933

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cotton is an important natural fiber crop, however, its comprehensive and high-resolution gene map is lacking. Here we integrate four complementary high-throughput techniques, including Pacbio long read Iso-seq, strand-specific RNA-seq, CAGE-seq, and PolyA-seq, to systematically explore the transcription landscape across 16 tissues or different organ types in Gossypium arboreum. We devise a computational pipeline, named IGIA, to reconstruct accurate gene structures from the integrated data. Our results reveal a dynamic and diverse transcriptional map in cotton: tissue-specific gene expression, alternative usage of TSSs and polyadenylation sites, hotspot of alternative splicing, and transcriptional read-through. These regulated events affect many genes in various aspects such as gain or loss of functional RNA motifs and protein domains, fine-tuning of DNA binding activity, and co-regulation for genes in the same complex or pathway. The methods and findings provide valuable resources for further functional genomic studies such as understanding natural SNP variations for plant community.

Indexed as

Gene Expression Regulation, PlantTranscriptomeAlternative SplicingGene Expression ProfilingGene OntologyGenes, PlantGenomicsGossypiumHigh-Throughput Nucleotide SequencingMolecular Sequence AnnotationPolyadenylationRNA-Seq

Identifiers

PMID31624240
PMCPMC6797763

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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.