{"title":"大豆开花时间动态的遗传和环境决定因素。","authors":"Guo Xiong, Liwei Wang, Mahmoud Naser, Mingchao Zhao, Jundan Chen, Bingjun Jiang, Shan Yuan, Chao Qin, Tianfu Han, Shi Sun, Tingting Wu","doi":"10.1111/pce.70212","DOIUrl":null,"url":null,"abstract":"<p><p>Flowering time, determined by genetic loci and environmental cues, is crucial for soybeans' geographic distribution and regional adaptability. This study aimed to generate a workflow of genetic and environmental analysis for determinants of soybean flowering time. By investigating flowering time in both natural populations and recombinant inbred lines (RIL) across eight environments spanning from 18°15'10″ N to 43°49'02″ N across two years, we found that photothermal ratio (PTR) strongly correlated with early- and mid-pre-flowering stages (16-23 days after planting). We detected 298 Quantitative Trait Locus (QTLs) in the natural population and 20 QTLs in the RIL for trait mean and 6 plasticity indicators, with 6 QTLs and 58 QTLs overlapping. Notably, seven quantitative trait nucleotide (QTNs) and eight QTN by environment interactions were colocalised with the above plasticity QTLs. By integrating 82 main-effect, plasticity and genotype-by-environment (G×E) interaction loci and environmental index PTR<sub>16-23</sub>, we proposed a simplified and stable prediction model with an average 4.40% and 2.42% increase in accuracy for flowering time in a single environment and across environments over that of 1726 genome-wide flowering time loci, respectively. This study propels the field of adapting diverse genotypes to dynamic environments and addressing the challenges posed by climate change.</p>","PeriodicalId":222,"journal":{"name":"Plant, Cell & Environment","volume":" ","pages":""},"PeriodicalIF":6.3000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetic and Environmental Determinants Underlying the Dynamics of Soybean Flowering Time.\",\"authors\":\"Guo Xiong, Liwei Wang, Mahmoud Naser, Mingchao Zhao, Jundan Chen, Bingjun Jiang, Shan Yuan, Chao Qin, Tianfu Han, Shi Sun, Tingting Wu\",\"doi\":\"10.1111/pce.70212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Flowering time, determined by genetic loci and environmental cues, is crucial for soybeans' geographic distribution and regional adaptability. This study aimed to generate a workflow of genetic and environmental analysis for determinants of soybean flowering time. By investigating flowering time in both natural populations and recombinant inbred lines (RIL) across eight environments spanning from 18°15'10″ N to 43°49'02″ N across two years, we found that photothermal ratio (PTR) strongly correlated with early- and mid-pre-flowering stages (16-23 days after planting). We detected 298 Quantitative Trait Locus (QTLs) in the natural population and 20 QTLs in the RIL for trait mean and 6 plasticity indicators, with 6 QTLs and 58 QTLs overlapping. Notably, seven quantitative trait nucleotide (QTNs) and eight QTN by environment interactions were colocalised with the above plasticity QTLs. By integrating 82 main-effect, plasticity and genotype-by-environment (G×E) interaction loci and environmental index PTR<sub>16-23</sub>, we proposed a simplified and stable prediction model with an average 4.40% and 2.42% increase in accuracy for flowering time in a single environment and across environments over that of 1726 genome-wide flowering time loci, respectively. This study propels the field of adapting diverse genotypes to dynamic environments and addressing the challenges posed by climate change.</p>\",\"PeriodicalId\":222,\"journal\":{\"name\":\"Plant, Cell & Environment\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Plant, Cell & Environment\",\"FirstCategoryId\":\"2\",\"ListUrlMain\":\"https://doi.org/10.1111/pce.70212\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PLANT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plant, Cell & Environment","FirstCategoryId":"2","ListUrlMain":"https://doi.org/10.1111/pce.70212","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
Genetic and Environmental Determinants Underlying the Dynamics of Soybean Flowering Time.
Flowering time, determined by genetic loci and environmental cues, is crucial for soybeans' geographic distribution and regional adaptability. This study aimed to generate a workflow of genetic and environmental analysis for determinants of soybean flowering time. By investigating flowering time in both natural populations and recombinant inbred lines (RIL) across eight environments spanning from 18°15'10″ N to 43°49'02″ N across two years, we found that photothermal ratio (PTR) strongly correlated with early- and mid-pre-flowering stages (16-23 days after planting). We detected 298 Quantitative Trait Locus (QTLs) in the natural population and 20 QTLs in the RIL for trait mean and 6 plasticity indicators, with 6 QTLs and 58 QTLs overlapping. Notably, seven quantitative trait nucleotide (QTNs) and eight QTN by environment interactions were colocalised with the above plasticity QTLs. By integrating 82 main-effect, plasticity and genotype-by-environment (G×E) interaction loci and environmental index PTR16-23, we proposed a simplified and stable prediction model with an average 4.40% and 2.42% increase in accuracy for flowering time in a single environment and across environments over that of 1726 genome-wide flowering time loci, respectively. This study propels the field of adapting diverse genotypes to dynamic environments and addressing the challenges posed by climate change.
期刊介绍:
Plant, Cell & Environment is a premier plant science journal, offering valuable insights into plant responses to their environment. Committed to publishing high-quality theoretical and experimental research, the journal covers a broad spectrum of factors, spanning from molecular to community levels. Researchers exploring various aspects of plant biology, physiology, and ecology contribute to the journal's comprehensive understanding of plant-environment interactions.