Evidence map›Paper›PMID 39301057›Full record

ArticlePeerJ2024

QTL mapping for seed vigor-related traits under artificial aging in common wheat in two introgression line (IL) populations.

Zhenrong Yang, Jirong Wu, Qiyu Wang, Weiguo Chen, Huawei Shi, Yugang Shi, Jinwen Yang, Ning Li, Daizhen Sun, Ruilian Jing

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Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Zhenrong YangCollege of Agriculture, Shanxi Agricultural University, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Jinzhong, China.
Jirong WuCollege of Agriculture, Shanxi Agricultural University, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Jinzhong, China.
Qiyu WangCollege of Agriculture, Shanxi Agricultural University, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Jinzhong, China.
Weiguo ChenCollege of Life Sciences, Shanxi Agricultural University, Jinzhong, China.
Huawei ShiCollege of Agriculture, Shanxi Agricultural University, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Jinzhong, China.
Yugang ShiCollege of Agriculture, Shanxi Agricultural University, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Jinzhong, China.
Jinwen YangCollege of Agriculture, Shanxi Agricultural University, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Jinzhong, China.
Ning LiCollege of Agriculture, Shanxi Agricultural University, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Jinzhong, China.
Daizhen SunCollege of Agriculture, Shanxi Agricultural University, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Jinzhong, China.
Ruilian JingState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Seed vigor recognized as a quantitative trait is of particular importance for agricultural production. However, limited knowledge is available for understanding genetic basis of wheat seed vigor. Methods: The aim of this study was to identify quantitative trait loci (QTL) responsible for 10 seed vigor-related traits representing multiple aspects of seed-vigor dynamics during artificial aging with 6 different treatment times (0, 24, 36, 48, 60, and 72 h) under controlled conditions (48 °C, 95% humidity, and dark). The mapping populations were two wheat introgression lines (IL-1 and IL-2) derived from recipient parent (Lumai 14) and donor parent (Shaanhan 8675 or Jing 411). Results: A total of 26 additive QTLs and 72 pairs of epistatic QTLs were detected for wheat seed-vigor traits. Importantly, chromosomes 1B and 7B contained several co-located QTLs, and chromosome 2A had a QTL-rich region near the marker Xwmc667, indicating that these QTLs may affect wheat seed vigor with pleiotropic effects. Furthermore, several possible consistent QTLs (hot-spot regions) were examined by comparison analysis of QTLs detected in this study and reported previously. Finally, a set of candidate genes for wheat seed vigor were predicted to be involved in transcription regulation, carbohydrate and lipid metabolism. Conclusion: The present findings lay new insights into the mechanism underlying wheat seed vigor, providing valuable information for wheat genetic improvement especially marker-assisted breeding to increase seed vigor and consequently achieve high grain yield despite of further investigation required.

Indexed as

Chromosome MappingQuantitative Trait LociSeedsTriticumChromosomes, PlantEpistasis, GeneticHybrid VigorPhenotypePlant BreedingArtificial aging introgression linesQTL mappingSeedVigorWheat

Identifiers

PMID39301057
PMCPMC11412226

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