Evidence map›Paper›PMID 35408887›Full record

ArticleInternational journal of molecular sciences2022

Identifying QTLs for Grain Size in a Colossal Grain Rice (

Xuanxuan Hou, Moxian Chen, Yinke Chen, Xin Hou, Zichang Jia, Xue Yang, Jianhua Zhang, Yinggao Liu, Nenghui Ye

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Identification of EliteInternational 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

9 authors at 4 institutions in 2 countries.

Xuanxuan HouCollege of Agriculture, Hunan Agricultural University, Changsha 410128, China.
Moxian ChenCo-Innovation Center for Sustainable Forestry in Southern China & Key Laboratory of National Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China.
Yinke ChenCollege of Agriculture, Hunan Agricultural University, Changsha 410128, China.
Xin HouState Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Tai'an 271018, China.
Zichang JiaState Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Tai'an 271018, China.
Xue YangState Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Tai'an 271018, China.
Jianhua ZhangDepartment of Biology, Hong Kong Baptist University, Hong Kong 999077, China.ORCID 0000-0002-3819-2437
Yinggao LiuState Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Tai'an 271018, China.
Nenghui YeCollege of Agriculture, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0002-3126-3562
Hunan Agricultural University · CNShandong Agricultural University · CNHong Kong Baptist University · HKNanjing Forestry University · CN

Funding

Hong Kong Re-search Grant Council AoE/M-05/12, AoE/M-403/16,GRF14160516, 14177617, 12100318National Natural Science Foundation of China 31971924National Natural Science Foundation of China 32001452National Natural Science Foundation of China 32171927National Natural Science Foundation of China U2106230Natural Science Foundation of Jiangsu Province SBK2020042924Platform Funding for Guangdong Provincial Enterprise Key Laboratory of Seed and Seedling Health Management Technology 2021B1212050011Postgraduate Scientific Research Innovation Project of Hunan Province CX20190496Program for Scientific Research Innovation Team of Young Scholar in Colleges and Universities of Shandong Province 2019KJE011
6 · The paper itself

Abstract

Grain size is an important component of quality and harvest traits in the field of rice breeding. Although numerous quantitative trait loci (QTLs) of grain size in rice have been reported, the molecular mechanisms of these QTLs remain poorly understood, and further research on QTL observation and candidate gene identification is warranted. In our research, we developed a suite of F2 intercross populations from a cross of 9311 and CG. These primary populations were used to map QTLs conferring grain size, evaluated across three environments, and then subjected to bulked-segregant analysis-seq (BSA-seq). In total, 4, 11, 12 and 14 QTLs for grain length (GL), grain width (GW), 1000-grain weight (TGW), and length/width ratio (LWR), respectively, were detected on the basis of a single-environment analysis. In particular, over 200 splicing-related sites were identified by whole-genome sequencing, including one splicing-site mutation with G>A at the beginning of intron 4 on Os03g0841800 (qGL3.3), producing a smaller open reading frame, without the third and fourth exons. A previous study revealed that the loss-of-function allele caused by this splicing site can negatively regulate rice grain length. Furthermore, qTGW2.1 and qGW2.3 were new QTLs for grain width. We used the near-isogenic lines (NILs) of these GW QTLs to study their genetic effects on individuals and pyramiding, and found that they have additive effects on GW. In summary, these discoveries provide a valuable genetic resource, which will facilitate further study of the genetic polymorphism of new rice varieties in rice breeding.

Indexed as

OryzaQuantitative Trait LociChromosome MappingEdible GrainPlant Breedingadditive effectsBSA-seqgrain sizeQTLricesplicing

Identifiers

PMID35408887
PMCPMC8998697
OpenAlexW4221006870

What OpenQuestion holds

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LicenceCC BY
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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.