Evidence map›Paper›PMID 39898269›Full record

ArticleFrontiers in plant science2024

Performing whole-genome association analysis of winter wheat plant height using the 55K chip.

Yindeng Ding, Guiqiang Fan, Yonghong Gao, Tianrong Huang, Anding Zhou, Shan Yu, Lianjia Zhao, Xiaolei Shi, Sunlei Ding, Jiahao Hao and 4 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Yindeng DingInstitute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Xinjiang, China.
Guiqiang FanInstitute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Xinjiang, China.
Yonghong GaoInstitute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Xinjiang, China.
Tianrong HuangInstitute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Xinjiang, China.
Anding ZhouInstitute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Xinjiang, China.
Shan YuCollege of Agriculture, Xinjiang Agricultural University, Xinjiang, China.
Lianjia ZhaoInstitute of Crop Variety Resources, Xinjiang Academy of Agricultural Sciences, Xinjiang, China.
Xiaolei ShiInstitute of Crop Variety Resources, Xinjiang Academy of Agricultural Sciences, Xinjiang, China.
Sunlei DingInstitute of Crop Variety Resources, Xinjiang Academy of Agricultural Sciences, Xinjiang, China.
Jiahao HaoDepartment of Computer Science and Information Engineering, Anyang Institute of Technology, Anyang, China.
Wei WangDepartment of Computer Science and Information Engineering, Anyang Institute of Technology, Anyang, China.
Jikun SongCotton Research Institute, Chinese Academy of Agricultural Sciences, Anyang, China.
Na SunYili Prefecture Institute of Agricultural Sciences/Yili Prefecture Key Laboratory of Crop Breeding and Quality Detection, Yining, China.
Hui FangInstitute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant height is a critical agronomic that affects both plant architecture and yield. To decipher the genetic mechanisms underlying winter wheat plant height and identify candidate genes associated with this trait, we conducted phenotypic analysis on 239 wheat varieties (lines) collected from around the world. This analysis was complemented by genotyping using the wheat 55K SNP chip. A Wholegenome association analysis (GWAS) of wheat plant height was conducted utilizing the MLM (Q+K) model within TASSLE software. The results revealed significant phenotypic variation in wheat plant height across different years, with coefficients of variation ranging from 0.96% to 1.97%. Additionally, there was a strong correlation in plant height measurements between different years. GWAS identified 44 SNP markers significantly associated with wheat plant height across various environments (P ≤ 0.00001), predominantly distributed on chromosomes 1B, 1D, 2A, 2B, 2D, 3B, 3D, 4A, 4B, 6B, 6D, and 7D, explaining individual phenotypic variance rates ranging from 5.00% to 11.11%. Further, by mining association loci with substantial phenotypic effects and stability across multiple environments, seven candidate genes related to wheat plant height have been identified. This study provides new genetic markers and resources for improving wheat plant height.

Indexed as

55K SNP arraycandidate genesGWASplant heightwinter wheat

Identifiers

PMID39898269
PMCPMC11782118

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.