Evidence map›Paper›PMID 35955713›Full record

ArticleInternational journal of molecular sciences2022

Insights into the Genomic Regions and Candidate Genes of Senescence-Related Traits in Upland Cotton via GWAS.

Qibao Liu, Zhen Feng, Chenjue Huang, Jia Wen, Libei Li, Shuxun Yu

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Research on Plant Genomics and Breeding 2.0.International journal of molecular sciences · 2024
    Article
  4. Article
  5. Plants (Basel, Switzerland) · 2023
    Article
  6. Research on Plant Genomics and Breeding.International journal of molecular sciences · 2023
    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

6 authors at 1 institution in 1 country.

Qibao LiuCollege of Advanced Agriculture Sciences, Zhejiang A&F University, Hangzhou 311300, China.
Zhen FengCollege of Advanced Agriculture Sciences, Zhejiang A&F University, Hangzhou 311300, China.
Chenjue HuangCollege of Advanced Agriculture Sciences, Zhejiang A&F University, Hangzhou 311300, China.
Jia WenCollege of Advanced Agriculture Sciences, Zhejiang A&F University, Hangzhou 311300, China.
Libei LiCollege of Advanced Agriculture Sciences, Zhejiang A&F University, Hangzhou 311300, China.ORCID 0000-0003-1138-134X
Shuxun YuCollege of Advanced Agriculture Sciences, Zhejiang A&F University, Hangzhou 311300, China.
Zhejiang A & F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Senescence is the last stage of plant development and is controlled by both internal and external factors. Premature senescence significantly affects the yield and quality of cotton. However, the genetic architecture underlying cotton senescence remains unclear. In this study, genome-wide association studies (GWAS) were performed based on 3,015,002 high-quality SNP markers from the resequencing data of 355 upland cotton accessions to detect genomic regions for cotton senescence. A total of 977 candidate genes within 55 senescence-related genomic regions (SGRs), SGR1-SGR55, were predicted. Gene ontology (GO) analysis of candidate genes revealed that a set of biological processes was enriched, such as salt stress, ethylene processes, and leaf senescence. Furthermore, in the leaf senescence GO term, one candidate gene was focused on:

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideGenomicsGossypiumPhenotypePlant Breedingcandidate genegenomic regionGhMKK9GWASsenescenceupland cotton

Identifiers

PMID35955713
PMCPMC9368895
OpenAlexW4289525274

What OpenQuestion holds

Textmetadata
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.