Mapping QTL affecting the vertical distribution and seed set of soybean [Glycine max (L.) Merr.] pods

Liu, Shiping; Xue, Hong; Zhang, Kaixin; Wang, Ping; Su, Daiqun; Li, Wenbin; Xu, Shichao; Zhang, Jianan; Qi, Zhengtang; Fang, Yanlong; Li, Xiyu; Wang, Yue; Tian, Xiaocui; Song, Jie; Wang, Jiajing; Yang, Chaowu; Jiang, Sitong; Ning, Hailong

doi:10.1016/j.cj.2019.04.004

Cited by 11 publications

(6 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the simple sequence repeat (SSR) linkage map constructed in our previous research [52–53], the unconditional and conditional data of the four different sowing dates were used to conduct QTL analysis by the inclusive composite interval mapping (ICIM) method [54]. Construction of linkage groups and mapping QTL was implemented through GAPL V1.0 software (www.isbreeding.net).…”

Section: Methodsmentioning

confidence: 99%

“…In our previous work, we produced a four-way recombinant inbred line (FW-RIL) population and mapped QTL for quality and pod number traits in soybean [52–53]. In the present study, we investigated PH in soybean throughout its development to detect conditional and unconditional QTL based on four environments (four different sowing dates) using our FW-RIL population comprising 160 F 2:7 and F 2:8 individuals derived from the cross (Kenfeng14 × Kenfeng15) × (Heinong48 × Kenfeng19).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mapping developmental QTL for plant height in soybean [Glycine max (L.) Merr.] using a four-way recombinant inbred line population

et al. 2019

Self Cite

View full text Add to dashboard Cite

Plant height (PH) is an important trait in soybean, as taller plants may have higher yields but may also be at risk for lodging. Many genes act jointly to influence PH throughout development. To map the quantitative trait loci (QTL) controlling PH, we used the unconditional variable method (UVM) and conditional variable method (CVM) to analyze PH data for a four-way recombinant inbred line (FW-RIL) population derived from the cross of (Kenfeng14 × Kenfeng15) × (Heinong48 × Kenfeng19). We identified 7, 8, 16, 19, 15, 27, 17, 27, 22, and 24 QTL associated with PH at 10 developmental stages, respectively. These QTL mapped to 95 genomic regions. Among these QTL, 9 were detected using UVM and CVM, and 89 and 66 were only detected by UVM or CVM, respectively. In total, 36 QTL controlling PH were detected at multiple developmental stages and these made unequal contributions to genetic variation throughout development. Among 19 novel regions discovered in our study, 7 could explain over 10% of the phenotypic variation and contained only one single QTL. The unconditional and conditional QTL detected here could be used in molecular design breeding across the whole developmental procedure.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mapping developmental QTL for plant height in soybean [Glycine max (L.) Merr.] using a four-way recombinant inbred line population

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…To increase the power of QTL detection, Xu (1996Xu ( , 1998 developed a QTL mapping technique based on a four-way (FW) hybrid design. Furthermore, Ning et al (2015Ning et al ( , 2016 established a FW-RILs population in soybean that was subsequently used for linkage map construction and QTL detection for PC and OC (Ning et al, 2016) and pod number-related traits (Liu et al, 2019). Because of highly polymorphic molecular markers, FW-RILs populations show more variation than common mapping populations.…”

Section: Introductionmentioning

confidence: 99%

Mapping QTLs for protein and oil content in soybean by removing the influence of related traits in a four-way recombinant inbred line population

Xue

Zhang

et al. 2019

J. Agric. Sci.

Self Cite

View full text Add to dashboard Cite

Protein content (PC) and oil content (OC) are important breeding traits of soybean [Glycine max (L.) Merr.]. Quantitative trait locus (QTL) mapping for PC and OC is important for molecular breeding in soybean; however, the negative correlation between PC and OC influences the accuracy of QTL mapping. In the current study, a four-way recombinant inbred lines (FW-RILs) population comprising 160 lines derived from the cross (Kenfeng14 × Kenfeng15) × (Heinong48 × Kenfeng19) was planted in eight different environments and PC and OC measured. Conditional and unconditional QTL analyses were carried out by interval mapping (IM) and inclusive complete IM based on linkage maps of 275 simple sequences repeat markers in a FW-RILs population. This analysis revealed 59 unconditional QTLs and 52 conditional QTLs among the FW-RILs. An analysis of additive effects indicated that the effects of 13 protein QTLs were not related to OC, whereas OC affected the expression of 13 and eight QTLs either partially or completely, respectively. Eight QTLs affecting OC were not influenced by PC, whereas six and 26 QTLs were partially and fully affected by PC, respectively. Among the QTLs detected in the current study, two protein QTLs and five oil QTLs had not been previously reported. These findings will facilitate marker-assisted selection and molecular breeding of soybean.

show abstract

“…In soybean, the combination of the two methods was used in several traits, such as seed size and shape (Hu et al, 2013 ), seed protein and oil content (Zhang et al, 2019 ), number of pods (Song et al, 2020 ), and plant height (Fang et al, 2020 ). Similar to the MAGIC population, four parents carried multiple allelic genotypes in FW-RIL, so it could conduct linkage and association analysis (Zhang et al, 2018 ; Li et al, 2019 , 2020 , 2021 ; Liu et al, 2019 ; Qi et al, 2020 ; Song et al, 2020 ; Tian et al, 2020 ; Wang et al, 2021 ). First, the principles of linkage and association were different: the former associated an interval (region) with a target trait, and the latter associated a position (SNP) with a target trait.…”

Section: Discussionmentioning

confidence: 99%

QTL for Main Stem Node Number and Its Response to Plant Densities in 144 Soybean FW-RILs

Wang

Zhao

et al. 2021

Front. Plant Sci.

Self Cite

View full text Add to dashboard Cite

Although the main stem node number of soybean [Glycine max (L.) Merr. ] is an important yield-related trait, there have been limited studies on the effect of plant density on the identification of quantitative trait loci (QTL) for main stem node number (MSNN). To address this issue, here, 144 four-way recombinant inbred lines (FW-RILs) derived from Kenfeng 14, Kenfeng 15, Heinong 48, and Kenfeng 19 were used to identify QTL for MSNN with densities of 2.2 × 105 (D1) and 3 × 105 (D2) plants/ha in five environments by linkage and association studies. As a result, the linkage and association studies identified 40 and 28 QTL in D1 and D2, respectively, indicating the difference in QTL in various densities. Among these QTL, five were common in the two densities; 36 were singly identified for response to density; 12 were repeatedly identified by both response to density and phenotype of two densities. Thirty-one were repeatedly detected across various methods, densities, and environments in the linkage and association studies. Among the 24 common QTL in the linkage and association studies, 15 explained a phenotypic variation of more than 10%. Finally, Glyma.06G094400, Glyma.06G147600, Glyma.19G160800.1, and Glyma.19G161100 were predicted to be associated with MSNN. These findings will help to elucidate the genetic basis of MSNN and improve molecular assistant selection in high-yield soybean breeding.

show abstract

Mapping QTL affecting the vertical distribution and seed set of soybean [Glycine max (L.) Merr.] pods

Cited by 11 publications

References 37 publications

Mapping developmental QTL for plant height in soybean [Glycine max (L.) Merr.] using a four-way recombinant inbred line population

Mapping developmental QTL for plant height in soybean [Glycine max (L.) Merr.] using a four-way recombinant inbred line population

Mapping QTLs for protein and oil content in soybean by removing the influence of related traits in a four-way recombinant inbred line population

QTL for Main Stem Node Number and Its Response to Plant Densities in 144 Soybean FW-RILs

Contact Info

Product

Resources

About