Genetic analysis and fine mapping of phosphorus efficiency locus 1 (PE1) in soybean

Yang, Yongqing; Tong, Ya; Li, Xinxin; He, Ying; Xu, Ruineng; Liu, Dong; Yang, Qing; Lv, Huiyong; Liao, Hong

doi:10.1007/s00122-019-03392-3

“…Therefore, improving P efficiency has become an important target in breeding programmes seeking to improve soybean production. QTL mapping in relation to low P tolerance in soybean have been conducted (Hacisalihoglu et al., 2018; Li et al., 2005; Song et al., 2014; Yang et al., 2019; Zhang, Cheng, et al., 2009; Zhang, Li, et al., 2016; Zhang, Liu, et al., 2009; Zhang et al., 2014; Zhang, Zhang, et al., 2016). By combining linkage analysis and genome‐wide association study (GWAS), Zhang et al.…”

Section: Introductionmentioning

confidence: 99%

“…Yang et al. (2019) identified a P efficiency locus 1 (PE1) in soybean using an expanded RIL population containing 168 F 9:11 families derived from BX10 and BD2. However, due to the limited accuracy of QTLs, locus stability and QTLs identified in hydroponics or bonsai environments, the actual genes that may be utilized in molecular breeding have not been identified to date.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Identification of quantitative trait loci underlying soybean (Glycine max) 100‐seed weight under different levels of phosphorus fertilizer application

Wu

¹

,

Li

²

,

Ji

³

et al. 2020

View full text Add to dashboard Cite

The “100‐seed weight (100‐SW)” trait is an important component of soybean quality and yield. Phosphorus (P) deficiency induces a wide array of metabolic effects that limits plant growth, especially in soybean. In this study, the 100‐SW values of a recombinant inbred line (RIL) population constructed by a cross between “Zhongdou27” and “Jiunong20” were evaluated in three tested environments under regular P and low P level conditions. We detected 12 additive quantitative trait loci (QTL) on nine linkage groups, explaining 8.11%–17.21% of the total phenotype variations. Two of these identified QTLs, qSW2‐3 and qSW17‐2, were identified in multi‐environments both under regular and low P level conditions, and explained 10.10%–14.11% and 10.12%–12.06% of the observed variations, respectively. One QTL, qSW17‐2, was novel which has been reported for the first time. Additionally, three QTLs (qSW10‐1, qSW13‐1 and qSW17‐1) were detected under low P conditions and the other QTLs were detected specifically under regular P levels. These particular QTLs improve our understanding of the genetic basis of P efficiency in soybean.

show abstract

“…However, P, which is critical for flower number, poding and filling grain [93,94], is easily fixed by soil particles [95] or quickly leached out into water supplies, especially in acid soil of southern field and inadequate P may cause more serious yield lost. Therefore, fertilizers both rich in P and K should be considered for more extensive application.…”

Section: Discussionmentioning

confidence: 99%

Environmental and Genetic Regulation of Plant Height in Soybean

Yang

¹

,

Lin

²

,

Lv

³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Background:Shoot architecture is fundamentally crucial to crop growth and productivity. As a key component of shoot architecture, plant height is known to be controlled by both genetic and environmental factors, though specific details remain scarce.Results:In this study, 308 representative soybean lines from a core collection and 168 F9 soybean progeny were planted at distinct field sites. The results demonstrated the presence of significant genotype × environment interaction (G × E) effects on traits associated with plant height in a natural soybean population. In total, 19 loci containing 51 QTLs (quantitative trait locus) for plant height were identified across four environments, with 23, 13 and 15 being QTLs for SH (shoot height), SNN (stem node number) and AIL (average internode length), respectively. Significant LOD ranging from 2.50 to 16.46 explained 2.80% - 26.10% of phenotypic variation. Intriguingly, only two loci, Loc11 and Loc19-1, containing 20 QTLs, were simultaneously detected across all environments. Results from Pearson correlation analysis and PCA (principal component analysis) revealed that each of the five agro-meteorological factors and four soil properties significantly affected soybean plant height traits, and that the corresponding QTLs had additive effects. Among significant environmental factors, AD (average day-length), AMaT (average maximum temperature), pH, and AN (available nitrogen) had the largest impacts on soybean plant height. Therefore, in spite of uncontrollable agro-meteorological factors, soybean shoot architecture might be remolded through combined efforts to produce superior soybean genetic materials while also optimizing soil properties.Conclusions:Overall, the comprehensive set of relationships outlined herein among environment factors, soybean genotypes and QTLs in effects on plant height opens new avenues to explore in work aiming to increase soybean yield through improvements in shoot architecture.

show abstract

“…Contrasted to K, fertilizers rich in P possible enhance AIL and decline SNN which unfavorable for nal yield. However, P, which is critical for ower number, poding and lling grain [93,94], is easily xed by soil particles [95] or quickly leached out into water supplies, especially in acid soil of southern eld and inadequate P may cause more serious yield lost. Therefore, fertilizers both rich in P and K should be considered for more extensive application.…”

Section: Discussionmentioning

confidence: 99%

Environmental and Genetic Regulation of Plant Height in Soybean

Yang

¹

,

Lin

²

,

Lv

³

et al. 2021

Preprint

Self Cite

0

View full text Add to dashboard Cite

Background:Shoot architecture is fundamentally crucial to crop growth and productivity. As a key component of shoot architecture, plant height is known to be controlled by both genetic and environmental factors, though specific details remain scarce.Results:In this study, 308 representative soybean lines from a core collection and 168 F9 soybean progeny were planted at distinct field sites. The results demonstrated the presence of significant genotype × environment interaction (G × E) effects on traits associated with plant height in a natural soybean population. In total, 19 loci containing 51 QTLs (quantitative trait locus) for plant height were identified across four environments, with 23, 13 and 15 being QTLs for SH (shoot height), SNN (stem node number) and AIL (average internode length), respectively. Significant LOD ranging from 2.50 to 16.46 explained 2.80% - 26.10% of phenotypic variation. Intriguingly, only two loci, Loc11 and Loc19-1, containing 20 QTLs, were simultaneously detected across all environments. Results from Pearson correlation analysis and PCA (principal component analysis) revealed that each of the five agro-meteorological factors and four soil properties significantly affected soybean plant height traits, and that the corresponding QTLs had additive effects. Among significant environmental factors, AD (average day-length), AMaT (average maximum temperature), pH, and AN (available nitrogen) had the largest impacts on soybean plant height. Therefore, in spite of uncontrollable agro-meteorological factors, soybean shoot architecture might be remolded through combined efforts to produce superior soybean genetic materials while also optimizing soil properties.Conclusions:Overall, the comprehensive set of relationships outlined herein among environment factors, soybean genotypes and QTLs in effects on plant height opens new avenues to explore in work aiming to increase soybean yield through improvements in shoot architecture.

show abstract

Genetic analysis and fine mapping of phosphorus efficiency locus 1 (PE1) in soybean

Cited by 17 publications

References 36 publications

Identification of quantitative trait loci underlying soybean (Glycine max) 100‐seed weight under different levels of phosphorus fertilizer application

Identification of quantitative trait loci underlying soybean (Glycine max) 100‐seed weight under different levels of phosphorus fertilizer application

Environmental and Genetic Regulation of Plant Height in Soybean

Environmental and Genetic Regulation of Plant Height in Soybean

Contact Info

Product

Resources

About