Evidence map›Paper›PMID 38977976›Full record

ArticleBMC genomics2024

Identification, validation and candidate gene analysis of major QTL for Supernumerary spikelets in wheat.

Zhiqiang Wang, Haojie Li, Xinjian Zhou, Yuzhou Mou, Ying Zhang, Lang Yu, Xudong Chen, Fangkun Wu, Hong Zhou, Yu Lin and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. High‑density mapping of stripe rust resistance gene YrH8 in wheat line Hangmai 8.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Article
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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

12 authors.

Zhiqiang Wang *State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Haojie Li *State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Xinjian ZhouState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Yuzhou MouState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Ying ZhangState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Lang YuState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Xudong ChenState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Fangkun WuState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Hong ZhouState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Yu LinState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Caixia LiState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Yaxi LiuState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China. liuyaxi@sicau.edu.cn.ORCID http://orcid.org/0000-0001-6814-7218

Funding

the Key Program of Sichuan Natural Science Foundation 2022NSFSC0015the Key Research of State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China SKL-KF202212the Research of State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China SKL-ZY202231
6 · The paper itself

Abstract

backgroundThe number of spikelets per spike is a key trait that affects the yield of bread wheat (Triticum aestivum L.). Identification of the QTL for spikelets per spike and its genetic effects that could be used in molecular assistant breeding in the future.

resultsIn this study, four recombinant inbred line (RIL) populations were generated and used, having YuPi branching wheat (YP), with Supernumerary Spikelets (SS) phenotype, as a common parent. QTL (QSS.sicau-2 A and QSS.sicau-2D) related to SS trait were mapped on chromosomes 2 A and 2D through bulked segregant exome sequencing (BSE-Seq). Fourteen molecular markers were further developed within the localization interval, and QSS.sicau-2 A was narrowed to 3.0 cM covering 7.6 Mb physical region of the reference genome, explaining 13.7 - 15.9% the phenotypic variance. Similarly, the QSS.sicau-2D was narrowed to 1.8 cM covering 2.4 Mb physical region of the reference genome, and it explained 27.4 - 32.9% the phenotypic variance. These two QTL were validated in three different genetic backgrounds using the linked markers. QSS.sicau-2 A was identified as WFZP-A, and QSS.sicau-2D was identified a novel locus, different to the previously identified WFZP-D. Based on the gene expression patterns, gene annotation and sequence analysis, TraesCS2D03G0260700 was predicted to be a potential candidate gene for QSS.sicau-2D.

conclusionTwo significant QTL for SS, namely QSS.sicau-2 A and QSS.sicau-2D were identified in multiple environments were identified and their effect in diverse genetic populations was assessed. QSS.sicau-2D is a novel QTL associated with the SS trait, with TraesCS2D03G0260700 predicted as its candidate gene.

Indexed as

Chromosome MappingPhenotypeQuantitative Trait LociTriticumChromosomes, PlantGenes, PlantGenetic Association StudiesBSE-seqQTLSupernumerary spikeletsWheat

Identifiers

PMID38977976
PMCPMC11229243

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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.