Evidence map›Paper›PMID 39695018›Full record

ArticleRice (New York, N.Y.)2024

Genetic Analysis and Fine Mapping of QTLs for Stigma Exsertion Rate in Rice.

Hanyuan Yang, Yin Zhou, Pingbo Li, Enyu Liu, Ping Sun, Yiting Ao, Rongjia Liu, Haozhou Gao, Zherui Xu, Ping Yang and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Rice (New York, N.Y.), 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

15 authors.

Hanyuan YangNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Yin ZhouNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Pingbo LiNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Enyu LiuNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Ping SunNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Yiting AoNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Rongjia LiuNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Haozhou GaoNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Zherui XuNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Ping YangNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Xinyue WangNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Guanjun GaoNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Qinglu ZhangNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Lizhong XiongNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
Yuqing HeNational Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China. yqhe@mail.hzau.edu.cn.

Funding

Earmarked fund for the China Agriculture Research System CARS-01-01National Natural Science Foundation of China U21A20211STI 2030－Major Project 2023ZD04069the Ministry of Science and Technology of China 2022YFD1200100
6 · The paper itself

Abstract

Stigma exsertion rate (SER) is a crucial trait that influences the seed production of hybrid rice by determining the outcrossing ability of male sterile lines (MSLs). However, the molecular genetic mechanisms underlying SER are still poorly understood. In this study, we identified 14 quantitative trait loci (QTLs) using a recombinant inbred line (RIL) population derived from B805D-MR-16-8-3 (B805D) and Hua6S. Two major QTLs, qSE1 and qSE9, were validated for their effects in the residual heterozygous line (RHL) background. The RHL carrying homozygous qSE1 region from Hua6S increased dual stigma exsertion rate (DSE) by 14.67% and 15.04%, and increased total stigma exsertion rate (TSE) by 11.73% and 13.04%, in F

Indexed as

Fine mappingQTLRecombinant inbred lineResidual heterozygous lineRiceStigma exsertion rate

Identifiers

PMID39695018
PMCPMC11655996

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Registered trials

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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.