Browsing by Author "Biyashev, Ruslan M."
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- Candidate Gene Sequence Analyses toward Identifying Rsv3-Type Resistance to Soybean Mosaic VirusRedekar, Neelam R.; Clevinger, Elizabeth M.; Laskar, M. A.; Biyashev, Ruslan M.; Ashfield, Tom; Jensen, Roderick V.; Jeong, Soon-Chun; Tolin, Sue A.; Saghai-Maroof, Mohammad A. (Crop Science Society of America, 2016-05-13)Rsv3 is one of three genetic loci conferring strain-specific resistance to Soybean mosaic virus (SMV). The Rsv3 locus has been mapped to a 154-kb region on chromosome 14, containing a cluster of five nucleotide-binding leucine-rich repeat (NB-LRR) resistance genes. High sequence similarity between the Rsv3 candidate genes challenges fine mapping of the locus. Among the five, Glyma14g38533 showed the highest transcript abundance in 1 to 3 h of SMV-G7 inoculation. Comparative sequence analyses were conducted with the five Rsv3 candidate NB-LRR genes from susceptible (rsv-type) soybean [Glycine max (L.) Merr.] cultivar Williams 82, resistant (Rsv3-type) cultivar Hwangkeum, and resistant lines L29 and RRR. Sequence comparisons revealed that Glyma14g38533 had far more polymorphisms than the other candidate genes. Interestingly, Glyma14g38533 gene from Rsv3-type lines exhibited 150 single-nucleotide polymorphism (SNP and six insertion–deletion (InDel) markers relative to rsv-type line, Furthermore, the polymorphisms identified in three Rsv3-type lines were highly conserved. Several polymorphisms were validated in 18 Rsv3-type resistant and six rsv-type susceptible lines and were found associated with their disease response. The majority of the polymorphisms were located in LRR domain encoding region, which is involved in pathogen recognition via protein–protein interactions. These findings associating Glyma14g38533 with Rsv3-type resistance to SMV suggest it is the most likely candidate gene for Rsv3.
- Genetic interactions regulating seed phytate and oligosaccharides in soybean (Glycine max L.)Redekar, Neelam R.; Glover, Natasha M.; Biyashev, Ruslan M.; Ha, Bo-Keun; Raboy, Victor; Saghai-Maroof, Mohammad A. (2020-06-25)Two low-phytate soybean (Glycine max(L.) Merr.) mutant lines- V99-5089 (mipsmutation on chromosome 11) and CX-1834 (mrp-landmrp-nmutations on chromosomes 19 and 3, respectively) have proven to be valuable resources for breeding of low-phytate, high-sucrose, and low-raffinosaccharide soybeans, traits that are highly desirable from a nutritional and environmental standpoint. A recombinant inbred population derived from the cross CX1834 x V99-5089 provides an opportunity to study the effect of different combinations of these three mutations on soybean phytate and oligosaccharides levels. Of the 173 recombinant inbred lines tested, 163 lines were homozygous for various combinations of MIPS and two MRP loci alleles. These individuals were grouped into eight genotypic classes based on the combination of SNP alleles at the three mutant loci. The two genotypic classes that were homozygousmrp-l/mrp-nand either homozygous wild-type or mutant at themipslocus (MIPS/mrp-l/mrp-normips/mrp-l/mrp-n) displayed relatively similar similar to 55% reductions in seed phytate, 6.94 mg g(-1)and 6.70 mg g(-1)respectively, as compared with 15.2 mg g(-1)in the wild-type MIPS/MRP-L/MRP-N seed. Therefore, in the presence of the double mutantmrp-l/mrp-n, themipsmutation did not cause a substantially greater decrease in seed phytate level. However, the nutritionally-desirable high-sucrose/low-stachyose/low-raffinose seed phenotype originally observed in soybeans homozygous for themipsallele was reversed in the presence ofmrp-l/mrp-nmutations: homozygousmips/mrp-l/mrp-nseed displayed low-sucrose (7.70%), high-stachyose (4.18%), and the highest observed raffinose (0.94%) contents per gram of dry seed. Perhaps the block in phytic acid transport from its cytoplasmic synthesis site to its storage site, conditioned bymrp-l/mrp-n, alters myo-inositol flux inmipsseeds in a way that restores to wild-type levels themipsconditioned reductions in raffinosaccharides. Overall this study determined the combinatorial effects of three low phytic acid causing mutations on regulation of seed phytate and oligosaccharides in soybean.
- Genetic variants in root architecture-related genes in a Glycine soja accession, a potential resource to improve cultivated soybeanPrince, Silvas J.; Li, Song; Qiu, Dan; Maldonado dos Santos, Joao V.; Chai, Chenglin; Joshi, Trupti; Patil, Gunvant; Valliyodan, Babu; Vuong, Tri D.; Murphy, Mackensie; Krampis, Konstantinos; Tucker, Dominic M.; Biyashev, Ruslan M.; Dorrance, Anne E.; Saghai-Maroof, Mohammad A.; Xu, Dong; Shannon, J. Grover; Nguyen, Henry T. (2015-02-25)Background Root system architecture is important for water acquisition and nutrient acquisition for all crops. In soybean breeding programs, wild soybean alleles have been used successfully to enhance yield and seed composition traits, but have never been investigated to improve root system architecture. Therefore, in this study, high-density single-feature polymorphic markers and simple sequence repeats were used to map quantitative trait loci (QTLs) governing root system architecture in an inter-specific soybean mapping population developed from a cross between Glycine max and Glycine soja. Results Wild and cultivated soybean both contributed alleles towards significant additive large effect QTLs on chromosome 6 and 7 for a longer total root length and root distribution, respectively. Epistatic effect QTLs were also identified for taproot length, average diameter, and root distribution. These root traits will influence the water and nutrient uptake in soybean. Two cell division-related genes (D type cyclin and auxin efflux carrier protein) with insertion/deletion variations might contribute to the shorter root phenotypes observed in G. soja compared with cultivated soybean. Based on the location of the QTLs and sequence information from a second G. soja accession, three genes (slow anion channel associated 1 like, Auxin responsive NEDD8-activating complex and peroxidase), each with a non-synonymous single nucleotide polymorphism mutation were identified, which may also contribute to changes in root architecture in the cultivated soybean. In addition, Apoptosis inhibitor 5-like on chromosome 7 and slow anion channel associated 1-like on chromosome 15 had epistatic interactions for taproot length QTLs in soybean. Conclusion Rare alleles from a G. soja accession are expected to enhance our understanding of the genetic components involved in root architecture traits, and could be combined to improve root system and drought adaptation in soybean.
- Genome-wide transcriptome analyses of developing seeds from low and normal phytic acid soybean linesRedekar, Neelam R.; Biyashev, Ruslan M.; Jensen, Roderick V.; Helm, Richard F.; Grabau, Elizabeth A.; Saghai-Maroof, Mohammad A. (2015-12-18)Background Low phytic acid (lpa) crops are potentially eco-friendly alternative to conventional normal phytic acid (PA) crops, improving mineral bioavailability in monogastric animals as well as decreasing phosphate pollution. The lpa crops developed to date carry mutations that are directly or indirectly associated with PA biosynthesis and accumulation during seed development. These lpa crops typically exhibit altered carbohydrate profiles, increased free phosphate, and lower seedling emergence, the latter of which reduces overall crop yield, hence limiting their large-scale cultivation. Improving lpa crop yield requires an understanding of the downstream effects of the lpa genotype on seed development. Towards that end, we present a comprehensive comparison of gene-expression profiles between lpa and normal PA soybean lines (Glycine max) at five stages of seed development using RNA-Seq approaches. The lpa line used in this study carries single point mutations in a myo-inositol phosphate synthase gene along with two multidrug-resistance protein ABC transporter genes. Results RNA sequencing data of lpa and normal PA soybean lines from five seed-developmental stages (total of 30 libraries) were used for differential expression and functional enrichment analyses. A total of 4235 differentially expressed genes, including 512-transcription factor genes were identified. Eighteen biological processes such as apoptosis, glucan metabolism, cellular transport, photosynthesis and 9 transcription factor families including WRKY, CAMTA3 and SNF2 were enriched during seed development. Genes associated with apoptosis, glucan metabolism, and cellular transport showed enhanced expression in early stages of lpa seed development, while those associated with photosynthesis showed decreased expression in late developmental stages. The results suggest that lpa-causing mutations play a role in inducing and suppressing plant defense responses during early and late stages of seed development, respectively. Conclusions This study provides a global perspective of transcriptomal changes during soybean seed development in an lpa mutant. The mutants are characterized by earlier expression of genes associated with cell wall biosynthesis and a decrease in photosynthetic genes in late stages. The biological processes and transcription factors identified in this study are signatures of lpa-causing mutations.
- Identification of Quantitative Disease Resistance Loci Toward Four Pythium Species in SoybeanClevinger, Elizabeth M.; Biyashev, Ruslan M.; Lerch-Olson, Elizabeth; Yu, Haipeng; Quigley, Charles; Song, Qijian; Dorrance, Anne E.; Robertson, Alison E.; Saghai-Maroof, Mohammad A. (Frontiers, 2021-03-30)In this study, four recombinant inbred line (RIL) soybean populations were screened for their response to infection by Pythium sylvaticum, Pythium irregulare, Pythium oopapillum, and Pythium torulosum. The parents, PI 424237A, PI 424237B, PI 408097, and PI 408029, had higher levels of resistance to these species in a preliminary screening and were crossed with “Williams,” a susceptible cultivar. A modified seed rot assay was used to evaluate RIL populations for their response to specific Pythium species selected for a particular population based on preliminary screenings. Over 2500 single-nucleotide polymorphism (SNP) markers were used to construct chromosomal maps to identify regions associated with resistance to Pythium species. Several minor and large effect quantitative disease resistance loci (QDRL) were identified including one large effect QDRL on chromosome 8 in the population of PI 408097 × Williams. It was identified by two different disease reaction traits in P. sylvaticum, P. irregulare, and P. torulosum. Another large effect QDRL was identified on chromosome 6 in the population of PI 408029 × Williams, and conferred resistance to P. sylvaticum and P. irregulare. These large effect QDRL will contribute toward the development of improved soybean cultivars with higher levels of resistance to these common soil-borne pathogens.
- Mining germplasm panels and phenotypic datasets to identify loci for resistance to Phytophthora sojae in soybeanVan, Kyujung; Rolling, William; Biyashev, Ruslan M.; Matthiesen, Rashelle L.; Abeysekara, Nilwala S.; Robertson, Alison E.; Veney, Deloris J.; Dorrance, Anne E.; McHale, Leah K.; Saghai-Maroof, Mohammad A. (Wiley, 2020-11-16)Phytophthora sojae causes Phytophthora root and stem rot of soybean and has been primarily managed through deployment of qualitative Resistance to P. sojae genes (Rps genes). The effectiveness of each individual or combination of Rps gene(s) depends on the diversity and pathotypes of the P. sojae populations present. Due to the complex nature of P. sojae populations, identification of more novel Rps genes is needed. In this study, phenotypic data from previous studies of 16 panels of plant introductions (PIs) were analyzed. Panels 1 and 2 consisted of 448 Glycine max and 520 G. soja, which had been evaluated for Rps gene response with a combination of P. sojae isolates. Panels 3 and 4 consisted of 429 and 460 G. max PIs, respectively, which had been evaluated using individual P. sojae isolates with complex virulence pathotypes. Finally, Panels 5–16 (376 G. max PIs) consisted of data deposited in the USDA Soybean Germplasm Collection from evaluations with 12 races of P. sojae. Using these panels, genome-wide association (GWA) analyses were carried out by combining phenotypic and SoySNP50K genotypic data. GWA models identified two, two, six, and seven novel Rps loci with Panels 1, 2, 3, and 4, respectively. A total of 58 novel Rps loci were identified using Panels 5–16. Genetic and phenotypic dissection of these loci may lead to the characterization of novel Rps genes that can be effectively deployed in new soybean cultivars against diverse P. sojae populations.