Evidence map›Paper›PMID 29449579›Full record

ArticleScientific reports2018

Analysis of Epistasis among QTLs on Heading Date based on Single Segment Substitution Lines in Rice.

Zifeng Yang, Lingling Jin, Haitao Zhu, Shaokui Wang, Guiquan Zhang, Guifu Liu

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  4. Genomic prediction and QTL analysis for grain Zn content and yield inJournal of plant biochemistry and biotechnology · 2024
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  10. GW10, a member of P450 subfamily regulates grain size and grain number in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
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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

6 authors.

Zifeng YangGuangdong Key Lab of Plant Molecular Breeding, College of Agronomy, South China Agricultural University, Guangzhou, 510642, P. R. China.
Lingling JinCollege of Mathematics and Informatics, College of Software Engineering, South China Agricultural University, Guangzhou, 510642, P. R. China.
Haitao ZhuGuangdong Key Lab of Plant Molecular Breeding, College of Agronomy, South China Agricultural University, Guangzhou, 510642, P. R. China.
Shaokui WangGuangdong Key Lab of Plant Molecular Breeding, College of Agronomy, South China Agricultural University, Guangzhou, 510642, P. R. China. shaokuiwang@scau.edu.cn.
Guiquan ZhangGuangdong Key Lab of Plant Molecular Breeding, College of Agronomy, South China Agricultural University, Guangzhou, 510642, P. R. China. gqzhang@scau.edu.cn.
Guifu LiuGuangdong Key Lab of Plant Molecular Breeding, College of Agronomy, South China Agricultural University, Guangzhou, 510642, P. R. China. guifuliu@scau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heading date directly determines the planting districts and seasons, and thus plays an important role for producing and introducing of varieties. Limited to the materials and methodologies, analysis of epistasis still presents an obvious challenge. This thesis estimated effectively four types of epistatic components among dual QTLs on heading date based on eight single segment substitution lines (SSSLs) in rice. The results confirmed that they carried truly with heading date QTLs. Eleven pairs of QTLs were with 50.0% of significant epistatic effects, of which additive-additive, additive-dominance or dominance-additive, and dominance-dominance interaction components occupied 40.9%, 50.0% and 59.1%, respectively. One QTL always interacted with multiple QTLs in various components. Several characteristics of epistasis on heading date were found that 1) different epistatic components had almost consistent directions; 2) dominance-dominance epistasis was perhaps most important in the four epistatic components; 3) epistasis was mostly positive, delaying rice heading; and 4) all epistatic components were seasonal sensitive. Two flowering pathways were further confirmed via a network constructed among these QTLs. These results have further confirmed the prevalence of epistatic interactions, deepened the understanding of genetic and flowering mechanism, and excavated several advantageous genes on heading date in rice.

Indexed as

Chromosome MappingChromosomes, PlantEpistasis, GeneticOryzaPhenotypeQuantitative Trait Loci

Identifiers

PMID29449579
PMCPMC5814450

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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.