Evidence map›Paper›PMID 34168673›Full record

ArticleFrontiers in genetics2021

Genome-Wide Comparative Analysis of Heat Shock Transcription Factors Provides Novel Insights for Evolutionary History and Expression Characterization in Cotton Diploid and Tetraploid Genomes.

Yajun Liang, Junduo Wang, Juyun Zheng, Zhaolong Gong, Zhiqiang Li, Xiantao Ai, Xueyuan Li, Quanjia Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Genome-Wide Identification and Systematic Analysis of theInternational journal of molecular sciences · 2026
    Article
  3. Review
  4. Article
  5. 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.

Yajun LiangXinjiang Academy of Agricultural Science, Urumqi, China.
Junduo WangXinjiang Academy of Agricultural Science, Urumqi, China.
Juyun ZhengXinjiang Academy of Agricultural Science, Urumqi, China.
Zhaolong GongXinjiang Academy of Agricultural Science, Urumqi, China.
Zhiqiang LiAdsen Biotechnology Corporation, Urumqi, China.
Xiantao AiEngineering Research Centre of Cotton of Ministry of Education, Xinjiang Agricultural University, Urumqi, China.
Xueyuan LiXinjiang Academy of Agricultural Science, Urumqi, China.
Quanjia ChenEngineering Research Centre of Cotton of Ministry of Education, Xinjiang Agricultural University, Urumqi, China.
Xinjiang Academy of Agricultural Sciences · CNXinjiang Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heat shock transcription factors (HSFs) are involved in environmental stress response and plant development, such as heat stress and flowering development. According to the structural characteristics of the HSF gene family, HSF genes were classified into three major types (HSFA, HSFB, and HSFC) in plants. Using conserved domains of HSF genes, we identified 621 HSF genes among 13 cotton genomes, consisting of eight diploid and five tetraploid genomes. Phylogenetic analysis indicated that HSF genes among 13 cotton genomes were grouped into two different clusters: one cluster contained all HSF genes of HSFA and HSFC, and the other cluster contained all HSF genes of HSFB. Comparative analysis of HSF genes in

Indexed as

expression divergencegenome-wideGossypium lineageheat shock transcription factortandem duplication

Identifiers

PMID34168673
PMCPMC8217870
OpenAlexW3168556828

What OpenQuestion holds

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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.