Evidence map›Paper›PMID 34970293›Full record

ArticleFrontiers in plant science2021

Identification of Candidate Cotton Genes Associated With Fiber Length Through Quantitative Trait Loci Mapping and RNA-Sequencing Using a Chromosome Segment Substitution Line.

Quanwei Lu, Xianghui Xiao, Juwu Gong, Pengtao Li, Yan Zhao, Jiajia Feng, Renhai Peng, Yuzhen Shi, Youlu Yuan

Abstract read
In one paragraph

Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

9 authors.

Quanwei LuSchool of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China.
Xianghui XiaoSchool of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China.
Juwu GongState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Pengtao LiSchool of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China.
Yan ZhaoSchool of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China.
Jiajia FengSchool of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China.
Renhai PengSchool of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China.
Yuzhen ShiState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Youlu YuanSchool of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fiber length is an important determinant of fiber quality, and it is a quantitative multi-genic trait. Identifying genes associated with fiber length is of great importance for efforts to improve fiber quality in the context of cotton breeding. Integrating transcriptomic information and details regarding candidate gene regions can aid in candidate gene identification. In the present study, the CCRI45 line and a chromosome segment substitution line (CSSL) with a significantly higher fiber length (MBI7747) were utilized to establish F

Indexed as

candidate genesCSSLsfiber lengthQTL mappingRNA-seq

Identifiers

PMID34970293
PMCPMC8712442

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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.