Identification of Genomic Regions Associated with Vine Growth and Plant Height of Soybean

Lu, Yahai; Zhang, Jiaming; Guo, Xiaoyang; Chen, Jingjing; Guan, Rongxia; Qiu, Lijuan

doi:10.3390/ijms23105823

Cited by 5 publications

(12 citation statements)

References 47 publications

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“…Notably, the primary QTLs for these traits consistently align with the main QTL for lodging score (qLD-4-1). In summary, many QTLs associated with lodging identi ed in this study show correlations with prior research results [21,22,30,35,37,[52][53][54][55][56][59][60][61][62][63][64][65][66][67][68][69][70]. The presence of shared QTL loci for various traits, such as growth period, seed type, grain weight per plant, number of pods per plant, stem diameter, and plant height, suggests the reliability of the QTL mapping in this study.…”

Section: Comparisons Of Qtls Localization With Previous Resultssupporting

confidence: 83%

Identification of quantitative trait loci for lodging and related agronomic traits in soybean (Glycine max [L.] Merr.)

Chen,

Chai,

Duan

et al. 2024

Preprint

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Background:Lodging, a crucial agronomic trait linked to soybean yield, poses a significant challenge in soybean production. Nevertheless, there has been less research on soybean lodging compared to other important agronomic traits, hindering progress in breeding high-yield soybeans. Our goals were to investigate lodging, pinpoint quantitative trait loci (QTL) linked to lodging, and forecast potential candidate genes linked to this trait. To achieve this, we employed a recombinant inbred line (RIL) population derived from a cross between Guizao 1 and B13 (GB) across various environments. Results:The lodging score of the RIL population was found to be significantly positively correlated with flowering time, maturity time, plant height, number of main stem nodes, stem diameter, and internode length, with correlation coefficients ranging from 0.457 to 0.783. A total of 84 QTLs associated with soybean lodging and related traits were identified using the GB population. The contribution of phenotypic variance ranged from 1.26% to 66.87%, with LOD scores ranging from 2.52 to 69.22. Additionally, within these QTLs, a stable major QTL associated with lodging was newly discovered in the GB population. Out of the 10 major QTLs associated with other related traits, nine of them were situated within the qLD-4-1interval of the major lodging score locus, displaying phenotypic variations ranging from 12.10% to 66.87%. Specific alterations in gene expression were revealed through the analysis of resequencing data from the two parental lines, potentially indicating their significant roles in lodging. Subsequently, it was determined through qRT-PCR that three genes are likely to be the major genes controlling soybean lodging. Conclusions:This study's findings offer valuable insights into the genetic underpinnings of soybean lodging resistance traits. By comprehending the potential genetic factors associated with lodging, this research lays the groundwork for breeding high-yield soybeans with improved lodging resistance.

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Section: Comparisons Of Qtls Localization With Previous Resultssupporting

confidence: 83%

Identification of quantitative trait loci for lodging and related agronomic traits in soybean (Glycine max [L.] Merr.)

Chen,

Chai,

Duan

et al. 2024

Preprint

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“…The mechanisms responsible for regulating VGH are complex, as evidenced by the divergent vining growth of the offspring produced through various crosses [2,[4][5][6]. The VGH is a quantitative trait influenced by many genes, varying across populations of different backgrounds and developmental stages [2,4].…”

Section: Of 12mentioning

confidence: 99%

“…At present, wild soybeans represent a potentially invaluable resource that may harbor elite alleles capable of broadening the genetic basis of domesticated soybean plants while improving particular traits of interest, such as high protein and biotic and abiotic stress tolerances. The vine growth habit (VGH) of these wild plants, however, hinders efforts to effectively breed them with cultivated soybean cultivars [2,4]. An essential step in the process of soybean domestication is the transition from the twining growth tendency of wild soybeans to the upright growth of widely cultivated varieties [4].…”

Section: Introductionmentioning

confidence: 99%

“…The vine growth habit (VGH) of these wild plants, however, hinders efforts to effectively breed them with cultivated soybean cultivars [2,4]. An essential step in the process of soybean domestication is the transition from the twining growth tendency of wild soybeans to the upright growth of widely cultivated varieties [4]. Efforts to fully understand the genetic etiological basis of the VGH will aid the effective utilization of wild resources to enable the more effective breeding-based improvement in soybean crops.…”

Section: Introductionmentioning

confidence: 99%

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QTL Mapping of Soybean (Glycine max) Vine Growth Habit Trait

Song,

Liu,

Yang

et al. 2023

IJMS

Self Cite

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The vine growth habit (VGH) is a notable property of wild soybean plants that also holds a high degree of importance in domestication as it can preclude using these wild cultivars for breeding and improving domesticated soybeans. Here, a bulked segregant analysis (BSA) approach was employed to study the genetic etiology of the VGH in soybean plants by integrating linkage mapping and population sequencing approaches. To develop a recombinant inbred line (RIL) population, the cultivated Zhongdou41 (ZD41) soybean cultivar was bred with ZYD02787, a wild soybean accession. The VGH status of each line in the resultant population was assessed, ultimately leading to the identification of six and nine QTLs from the BSA sequencing of the F4 population and F6-F8 population sequence mapping, respectively. One QTL shared across these analyzed generations was detected on chromosome 19. Three other QTLs detected by BSA-seq were validated and localized to the 90.93 kb, 2.9 Mb, and 602.08 kb regions of chromosomes 6 and 13, harboring 14, 53, and 4 genes, respectively. Three consistent VGH-related QTLs located on chromosomes 2 and 19 were detected in a minimum of three environments, while an additional six loci on chromosomes 2, 10, 13, and 18 were detected in at least two environments via ICIM mapping. Of all the detected loci, five had been reported previously whereas seven represent novel QTLs. Together, these data offer new insights into the genetic basis of the VGH in soybean plants, providing a rational basis to inform the use of wild accessions in future breeding efforts.

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“…However, compared to grain soybean and alfalfa, soybean has received less attention as a forage crop, resulting in limited research on forage traits. Moreover, the challenge of obtaining root traits has led to a predominant focus on the aboveground portion of soybean plants in studies investigating the factors influencing plant height formation [26,27]. Therefore, this study analyzed the differences in phenotypic characteristics, root traits, and photosynthetic characteristics between two tall-stemmed soybean cultivars and short-stemmed soybean cultivars.…”

Section: Introductionmentioning

confidence: 99%

Contribution of Photosynthetic, Root and Phenotypic Traits to Soybean Plant Height

Suo,

Wang,

Zhao

2024

Sustainability

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Breeding new high-yield and high-quality forage soybean cultivars is an effective approach to addressing the shortage of feed protein and sustainable agricultural development. Plant height is a key indicator of forage soybean genotypes and is closely related to forage yield. However, the determinants affecting soybean plant height remain highly uncertain. In order to analyze the factors contributing to plant height differences among soybean cultivars, two tall-stemmed soybean cultivars (“Neinong S001” and “Neinong S002”) and two short-stemmed soybean cultivars (“Neinong 0004” and “Neinong 0005”) were used in this study as test materials for examining aboveground phenotypic characteristics, root traits, and photosynthetic characteristics. The test materials were planted in 2018 at Chakintai Ranch (122°15′ E, 43°38′ N) using the potting method, and the indicators were measured in June. The results showed that the leaf area, root volume, and root surface area of high-stemmed soybean cultivars were significantly (p < 0.05) lower than those of short-stemmed soybean cultivars. Additionally, the dry weight of a single plant and transpiration rate were significantly (p < 0.05) higher in high-stemmed soybean cultivars compared to short-stemmed soybean cultivars. It was found that soybean plant height was significantly (p < 0.05) correlated with leaf area, leaf shape index, intercellular CO2 concentration, transpiration rate, SPAD, root weight, root length, root surface area, and root volume. Further path analyses revealed that intercellular CO2 concentration and root surface area had a direct impact on plant height, with direct effect coefficients of 0.22 and −0.91, respectively. These results provide new insights into the sustainability development and genetic enhancement of plant height characteristics in forage soybean.

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Identification of Genomic Regions Associated with Vine Growth and Plant Height of Soybean

Cited by 5 publications

References 47 publications

Identification of quantitative trait loci for lodging and related agronomic traits in soybean (Glycine max [L.] Merr.)

Identification of quantitative trait loci for lodging and related agronomic traits in soybean (Glycine max [L.] Merr.)

QTL Mapping of Soybean (Glycine max) Vine Growth Habit Trait

Contribution of Photosynthetic, Root and Phenotypic Traits to Soybean Plant Height

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