Evidence map›Paper›PMID 35401682›Full record

ArticleFrontiers in genetics2022

Genome-wide Association Study for Starch Pasting Properties in Chinese Spring Wheat.

Yousheng Tian, Wei Sang, Pengpeng Liu, Jindong Liu, Jishan Xiang, Fengjuan Cui, Hongjun Xu, Xinnian Han, Yingbin Nie, Dezhen Kong and 2 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Yousheng TianThe Key Laboratory of the Oasis Ecological Agriculture, College of Agriculture, Shihezi University, Shihezi, China.
Wei SangInstitute of Crop Science, Xinjiang Academy of Agri-reclamation Sciences/Key Lab of Xinjiang Production and Construction Corps for Cereal Quality Research and Genetic Improvement, Shihezi, China.
Pengpeng LiuInstitute of Crop Science, Xinjiang Academy of Agri-reclamation Sciences/Key Lab of Xinjiang Production and Construction Corps for Cereal Quality Research and Genetic Improvement, Shihezi, China.
Jindong LiuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Jishan XiangInstitute of Crop Science, Xinjiang Academy of Agri-reclamation Sciences/Key Lab of Xinjiang Production and Construction Corps for Cereal Quality Research and Genetic Improvement, Shihezi, China.
Fengjuan CuiInstitute of Crop Science, Xinjiang Academy of Agri-reclamation Sciences/Key Lab of Xinjiang Production and Construction Corps for Cereal Quality Research and Genetic Improvement, Shihezi, China.
Hongjun XuInstitute of Crop Science, Xinjiang Academy of Agri-reclamation Sciences/Key Lab of Xinjiang Production and Construction Corps for Cereal Quality Research and Genetic Improvement, Shihezi, China.
Xinnian HanInstitute of Crop Science, Xinjiang Academy of Agri-reclamation Sciences/Key Lab of Xinjiang Production and Construction Corps for Cereal Quality Research and Genetic Improvement, Shihezi, China.
Yingbin NieInstitute of Crop Science, Xinjiang Academy of Agri-reclamation Sciences/Key Lab of Xinjiang Production and Construction Corps for Cereal Quality Research and Genetic Improvement, Shihezi, China.
Dezhen KongInstitute of Crop Science, Xinjiang Academy of Agri-reclamation Sciences/Key Lab of Xinjiang Production and Construction Corps for Cereal Quality Research and Genetic Improvement, Shihezi, China.
Weihua LiThe Key Laboratory of the Oasis Ecological Agriculture, College of Agriculture, Shihezi University, Shihezi, China.
Peiyuan MuInstitute of Crop Science, Xinjiang Academy of Agri-reclamation Sciences/Key Lab of Xinjiang Production and Construction Corps for Cereal Quality Research and Genetic Improvement, Shihezi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to understand the genetic basis of starch pasting viscosity characteristics of Chinese spring wheat, we assessed the genetic variation of RVA parameters determined by the Rapid Visco Analyser in a panel of 192 Chinese spring wheat accessions grown in Er'shi, Shihezi and Zhaosu during 2012 and 2013 cropping seasons. A genome-wide association study with 47,362 single nucleotide polymorphism (SNP) markers was conducted to detect marker-trait associations using mixed linear model. Phenotypic variations of RVA parameters ranged from 1.6 to 30.7% and broad-sense heritabilities ranged from 0.62 to 0.91. Forty-one SNP markers at 25 loci were significantly associated with seven RVA traits in at least two environments; among these, 20 SNPs were located in coding sequences (CDS) of 18 annotation genes, which can lead to discovering novel genes underpinning starch gelatinization in spring wheat. Haplotype analysis revealed one block for breakdown (BD) on chromosome 3B and two blocks for pasting temperature (T) on chromosome 7B. Cultivars with superior haplotypes at these loci showed better starch pasting viscosity than the average of all cultivars surveyed. The identified loci and associated markers provide valuable sources for future functional characterization and genetic improvement of starch quality in wheat.

Indexed as

candidate genesGWAShaplotype analysisRVA parametersTriticum aestivum

Identifiers

PMID35401682
PMCPMC8990798

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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.