Evidence map›Paper›PMID 38976061›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2024

Cold tolerance SNPs and candidate gene mining in the soybean germination stage based on genome-wide association analysis.

Yuehan Chen, Zhi Liu, Dezhi Han, Qing Yang, Chenhui Li, Xiaolei Shi, Mengchen Zhang, Chunyan Yang, Lijuan Qiu, Hongchang Jia and 4 more

Abstract read
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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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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

14 authors.

Yuehan Chen *College of Life Science, Qingdao Agricultural University, Qingdao, 266109, China.
Zhi Liu *Hebei Laboratory of Crop Genetics and Breeding, National Soybean Improvement Center Shijiazhuang Sub-center, Hebei-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, Hebei, China.
Dezhi Han *Heihe Branch of Heilongjiang Academy of Agricultural Sciences, Heihe, 164300, China.
Qing YangHebei Laboratory of Crop Genetics and Breeding, National Soybean Improvement Center Shijiazhuang Sub-center, Hebei-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, Hebei, China.
Chenhui LiHebei Laboratory of Crop Genetics and Breeding, National Soybean Improvement Center Shijiazhuang Sub-center, Hebei-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, Hebei, China.
Xiaolei ShiHebei Laboratory of Crop Genetics and Breeding, National Soybean Improvement Center Shijiazhuang Sub-center, Hebei-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, Hebei, China.
Mengchen ZhangHebei Laboratory of Crop Genetics and Breeding, National Soybean Improvement Center Shijiazhuang Sub-center, Hebei-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, Hebei, China.
Chunyan YangHebei Laboratory of Crop Genetics and Breeding, National Soybean Improvement Center Shijiazhuang Sub-center, Hebei-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, Hebei, China.
Lijuan QiuThe National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Laboratory of Germplasm and Biotechnology (MARA), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Hongchang JiaHeihe Branch of Heilongjiang Academy of Agricultural Sciences, Heihe, 164300, China.
Shu WangHeihe Branch of Heilongjiang Academy of Agricultural Sciences, Heihe, 164300, China.
Wencheng LuHeihe Branch of Heilongjiang Academy of Agricultural Sciences, Heihe, 164300, China. 13845674288@163.com.
Qian MaCollege of Life Science, Qingdao Agricultural University, Qingdao, 266109, China. maqian51856@126.com.
Long YanHebei Laboratory of Crop Genetics and Breeding, National Soybean Improvement Center Shijiazhuang Sub-center, Hebei-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050035, Hebei, China. dragonyan1979@163.com.ORCID http://orcid.org/0009-0001-0655-515X

Funding

HAAFS Science and Technology Innovation Special Project 2022KJCXZX-LYS-7Hebei Province Modern Agricultural Industry Technology System Industry Innovation Team HBCT2023040101National Key Research and Development Program of China 2021YFD1201602Natural Science Foundation of Hebei Province C2020301020Sichuan Veterinary Medicine and Drug Innovation Group of China Agricultural Research System CARS-04-PS06
6 · The paper itself

Abstract

key messageThree QTLs associated with low-temperature tolerance were identified by genome-wide association analysis, and 15 candidate genes were identified by haplotype analysis and gene expression analyses. Low temperature is a critical factor affecting the geographical distribution, growth, development, and yield of soybeans, with cold stress during seed germination leading to substantial productivity loss. In this study, an association panel comprising 260 soybean accessions was evaluated for four germination traits and four cold tolerance index traits, revealing extensive variation in cold tolerance. Genome-wide association study (GWAS) identified 10 quantitative trait nucleotides (QTNs) associated with cold tolerance, utilizing 30,799 single nucleotide polymorphisms (SNPs) and four GWAS models. Linkage disequilibrium (LD) analysis positioned these QTNs within three cold-tolerance quantitative trait loci (QTL) and, with QTL19-1, was positioned by three multi-locus models, underscoring its importance as a key QTL. Integrative haplotype analysis, supplemented by transcriptome analysis, uncovered 15 candidate genes. The haplotypes within the genes Glyma.18G044200, Glyma.18G044300, Glyma.18G044900, Glyma.18G045100, Glyma.19G222500, and Glyma.19G222600 exhibited significant phenotypic variations, with differential expression in materials with varying cold tolerance. The QTNs and candidate genes identified in this study offer substantial potential for marker-assisted selection and gene editing in breeding cold-tolerant soybeans, providing valuable insights into the genetic mechanisms underlying cold tolerance during soybean germination.

Indexed as

Cold TemperatureGerminationGlycine maxHaplotypesLinkage DisequilibriumPolymorphism, Single NucleotideQuantitative Trait LociChromosome MappingGenes, PlantGenetic Association StudiesGenome-Wide Association StudyPhenotype

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