Development of a chromosome segment substitution line population with wild soybean (Glycine soja Sieb. et Zucc.) as donor parent

Wang, Wubin; He, Qingyuan; Yang, Huanming; Xiang, Shihua; Zhao, Tuanjie; Gai, Junyi

doi:10.1007/s10681-012-0817-7

Cited by 39 publications

(38 citation statements)

References 51 publications

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“…N24852 is tolerant to biotic and abiotic stresses (Wang et al, 2013) and its alkalinity tolerance was confirmed in this study (Supplementary Figure S1). A widely used salinity-tolerant (but moderately sensitive to alkalinity) cultivated soybean variety Lee 68 (Abel and Mackenzie, 1964), was used as a genotype control to evaluate the alkalinity tolerance of N24852.…”

Section: Methodssupporting

confidence: 74%

Identification and Analysis of NaHCO3 Stress Responsive Genes in Wild Soybean (Glycine soja) Roots by RNA-seq

et al. 2016

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Soil alkalinity is a major abiotic constraint to crop productivity and quality. Wild soybean (Glycine soja) is considered to be more stress-tolerant than cultivated soybean (G. max), and has considerable genetic variation for increasing alkalinity tolerance of soybean. In this study, we analyzed the transcriptome profile in the roots of an alkalinity tolerant wild soybean variety N24852 at 12 and 24 h after 90 mM NaHCO3 stress by RNA-sequencing. Compared with the controls, a total of 449 differentially expressed genes (DEGs) were identified, including 95 and 140 up-regulated genes, and 108 and 135 down-regulated genes at 12 and 24 h after NaHCO3 treatment, respectively. Quantitative RT-PCR analysis of 14 DEGs showed a high consistency with their expression profiles by RNA-sequencing. Gene Ontology (GO) terms related to transcription factors and transporters were significantly enriched in the up-regulated genes at 12 and 24 h after NaHCO3 stress, respectively. Nuclear factor Y subunit A transcription factors were enriched at 12 h after NaHCO3 stress, and high percentages of basic helix-loop-helix, ethylene-responsive factor, Trihelix, and zinc finger (C2H2, C3H) transcription factors were found at both 12 and 24 h after NaHCO3 stress. Genes related to ion transporters such as ABC transporter, aluminum activated malate transporter, glutamate receptor, nitrate transporter/proton dependent oligopeptide family, and S-type anion channel were enriched in up-regulated DEGs at 24 h after NaHCO3 treatment, implying their roles in maintaining ion homeostasis in soybean roots under alkalinity. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis showed “phenylpropanoid biosynthesis” and “phenylalanine metabolism” pathways might participate in soybean response to alkalinity. This study provides a foundation to further investigate the functions of NaHCO3 stress-responsive genes and the molecular basis of soybean tolerance to alkalinity.

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Section: Methodssupporting

confidence: 74%

Identification and Analysis of NaHCO3 Stress Responsive Genes in Wild Soybean (Glycine soja) Roots by RNA-seq

et al. 2016

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“…CSSLs have been widely used in rice, tomato, cotton, barley, wheat, and maize (Eshed & Zamir, ; Matus et al, ; Pillen, Zacharias, & Leon, ; Pillen, Zacharias, & Léon, ; W. Wang et al, ; P. Wang, Ding, Lu, Guo, & Zhang, ) for locus fine mapping because they provide a clean background. However, very few CSSL populations have been developed in soybean (W. Wang et al, ). In an ideal CSSL population, each CSSL should carry only one different chromosome segment from the donor parent across the whole genome.…”

Section: Discussionmentioning

confidence: 99%

Meta-analysis and transcriptome profiling reveal hub genes for soybean seed storage composition during seed development

Zhang

Wang

et al. 2018

Plant Cell Environ

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Soybean is an important crop providing edible oil and protein source. Soybean oil and protein contents are quantitatively inherited and significantly affected by environmental factors. In this study, meta-analysis was conducted based on soybean physical maps to integrate quantitative trait loci (QTLs) from multiple experiments in different environments. Meta-QTLs for seed oil, fatty acid composition, and protein were identified. Of them, 11 meta-QTLs were located on hot regions for both seed oil and protein. Next, we selected 4 chromosome segment substitution lines with different seed oil and protein contents to characterize their 3 years of phenotype selection in the field. Using strand-specific RNA-sequencing analysis, we profile the time-course transcriptome patterns of soybean seeds at early maturity, middle maturity, and dry seed stages. Pairwise comparison and K-means clustering analysis revealed 7,482 differentially expressed genes and 45 expression patterns clusters. Weighted gene coexpression network analysis uncovered 46 modules of gene expression patterns. The 2 most significant coexpression networks were visualized, and 7 hub genes were identified that were involved in soybean oil and seed storage protein accumulation processes. Our results provided a transcriptome dataset for soybean seed development, and the candidate hub genes represent a foundation for further research.

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“…, Wang et al. ). It was because BC populations have lower genetic background noise than other populations.…”

Section: Discussionmentioning

confidence: 99%

“…Compared with other populations, BC populations are easier for combining beneficial different donor QTL to design new genotypes that were likely to transgress the recurrent parent allelic effects (Wang et al. ).…”

Section: Discussionmentioning

confidence: 99%

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Dissection of genetic architecture for oil content in soybean seed using two backcross populations

Xia

Zhan

et al. 2017

Plant Breeding

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Soybean seed oil was valued in foods, animal feed and some industrial applications. Molecular marker‐assisted selection (MAS) for high‐oil‐content cultivars was an important method for soybean breeders. The objective of this study was to identify quantitative trait loci (QTL) and epistatic QTL underlying the seed oil content of soybeans across two backcross (BC) populations (with one common male parent ‘Dongnong47’) and two different environments. Two molecular genetic maps were constructed. They encompassed 1046.8 cM [with an average distance of 6.75 cM in the ‘Dongnong47’ × ‘Jiyu89’ (DJ) population] and 846.10 cM [with an average distance of 5.76 cM in the ‘Dongnong47’ × ‘Zaoshu18’ (DZ) population]. Nine and seven QTL were identified to be associated with oil content in the DJ and DZ populations, respectively. The phenotypic variation explained by most of the QTL was usually less than 10%. Among the identified QTL, those stable ones across multiple environments and populations often had stronger additive effects. In addition, three stable QTL in the DZ populations were identified in the similar genomic region of the three QTL in the DJ population [qDJE and qDZE‐1 were located near Satt151 of Chromosome 15 (Chr15), qDJA1 and qDZA1 were located near Satt200 of Chr15 (LG A1), and qDJD2‐1 and qDZD2‐1 were located near Sat365 of Chr17]. In conclusion, MAS will be able more effectively to combine beneficial alleles of the different donors to design new genotypes with higher soybean seed oil content using the BC populations.

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Development of a chromosome segment substitution line population with wild soybean (Glycine soja Sieb. et Zucc.) as donor parent

Cited by 39 publications

References 51 publications

Identification and Analysis of NaHCO3 Stress Responsive Genes in Wild Soybean (Glycine soja) Roots by RNA-seq

Identification and Analysis of NaHCO3 Stress Responsive Genes in Wild Soybean (Glycine soja) Roots by RNA-seq

Meta-analysis and transcriptome profiling reveal hub genes for soybean seed storage composition during seed development

Dissection of genetic architecture for oil content in soybean seed using two backcross populations

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