Project description:Soybean is a self-pollinating crop species that has relatively low nucleotide polymorphism rates compared to other crop plant species. Despite the appearance of a low intervarietal nucleotide polymorphism rate, a wide range of heritable phenotypic variation exists. There is even evidence for heritable phenotypic variation among individuals within some varieties. ‘Williams 82,’ the soybean variety used to produce the reference genome sequence, was derived from backcrossing a phytophthora root rot resistance locus from the donor parent ‘Kingwa’ into the recurrent parent ‘Williams.’ To explore the genetic basis of intravarietal variation, we investigated the nucleotide, structural and gene content variation of different Williams 82 individuals. Williams 82 individuals exhibited variation in the number and size of introgressed Kingwa loci. In these regions of genomic heterogeneity, the reference Williams 82 genome sequence consists of a mosaic of Williams and Kingwa haplotypes. Genomic structural variation between Williams and Kingwa was maintained between the Williams 82 individuals within the regions of heterogeneity. Additionally, the regions of heterogeneity exhibited gene content differences between Williams 82 individuals. Collectively, these findings show that genetic heterogeneity in Williams 82 primarily originated from the differential segregation of polymorphic chromosomal regions following the backcross and single-seed descent generations of the breeding process. We conclude that soybean haplotypes can possess a high rate of structural and gene content variation, and the impact of intravarietal genetic heterogeneity may be much greater than previously assumed. This detailed characterization will be useful for interpreting soybean genomic data sets and highlights important considerations for research communities that are utilizing or working towards developing a reference genome sequence.
Project description:Soybean is a self-pollinating crop species that has relatively low nucleotide polymorphism rates compared to other crop plant species. Despite the appearance of a low intervarietal nucleotide polymorphism rate, a wide range of heritable phenotypic variation exists. There is even evidence for heritable phenotypic variation among individuals within some varieties. ‘Williams 82,’ the soybean variety used to produce the reference genome sequence, was derived from backcrossing a phytophthora root rot resistance locus from the donor parent ‘Kingwa’ into the recurrent parent ‘Williams.’ To explore the genetic basis of intravarietal variation, we investigated the nucleotide, structural and gene content variation of different Williams 82 individuals. Williams 82 individuals exhibited variation in the number and size of introgressed Kingwa loci. In these regions of genomic heterogeneity, the reference Williams 82 genome sequence consists of a mosaic of Williams and Kingwa haplotypes. Genomic structural variation between Williams and Kingwa was maintained between the Williams 82 individuals within the regions of heterogeneity. Additionally, the regions of heterogeneity exhibited gene content differences between Williams 82 individuals. Collectively, these findings show that genetic heterogeneity in Williams 82 primarily originated from the differential segregation of polymorphic chromosomal regions following the backcross and single-seed descent generations of the breeding process. We conclude that soybean haplotypes can possess a high rate of structural and gene content variation, and the impact of intravarietal genetic heterogeneity may be much greater than previously assumed. This detailed characterization will be useful for interpreting soybean genomic data sets and highlights important considerations for research communities that are utilizing or working towards developing a reference genome sequence. Soybean variety Williams 82 (Wm82) was derived from a Williams x Kingwa BC6F3 population. CGH was performed to detect regions of Kingwa genomic introgression in Wm82; Williams was hybridized as a common reference against Kingwa and four different Wm82 individuals. Two different Wm82 individuals (SGC and ISU) were also hybridized with one another. The soybean tiling array consists of 700k probes, spaced at approximately 1.1 kb intervals.
Project description:CGH was used to compare structural variation among four soybean cultivars (Archer, Minsoy, Noir1 and Williams 82). Three different soybean cultivars (Archer, Minsoy and Noir1) were hybridized against the common reference genotype Williams 82. The soybean tiling array consists of 700k probes, spaced at approximately 1.1 kb intervals.
Project description:CGH was used to compare structural variation among four soybean cultivars (Archer, Minsoy, Noir1 and Williams 82). Four additional hybridizations were performed with these and other accessions (Kingwa, Williams, M92-220, Richland and Essex) to confirm the patterns observed.
Project description:Soybean nested association mapping (NAM) parent lines were compared by CGH to catalog structurally variant (e.g. deletion and duplication) regions among these genotypes. The CGH comparisons reveal reveal putative deletions and duplications among the 41 lines. NAM parent lines were compared through a common reference, Wm82-ISU-01 (this is a sub-line isolated from the cultivar Williams 82 stock). Each NAM parent line was represented by a single individual plant. The reported values show the log2 ratio of the normalized NAM parent line hybridization signals (Cy3) over the normalized Wm82-ISU-01 hybridization signal (Cy5).
Project description:To understand the responses of plants to environmental stresses will help mitigate the problems via creating stress-tolerant crop cultivars. We have carried out comparative expression analysis of roots of two soybean varieties Williams 82 and DT2008 that have constrasting drought-responsive phenotype under dehydration and well-watered (control) conditions. Affymetrix’s whole Soybean Gene Expression Microarray (66K) was used. The Williams 82 and DT2008 soybean plants were grown for 14 days in the vermiculite soil under greenhouse conditions. The whole plants of 14-d-old plants were detached and exposed to dehydration on KimTowel papers for 0 (well-watered, control), 2 and 10 h. All roots of independent 14-d-old plants were collected. Total RNA was prepared and used for the microarray hybridization. Three independent biological replicates were used for each plant sample.
Project description:To understand the responses of plants to environmental stresses will help mitigate the problems via creating stress-tolerant crop cultivars. We have carried out comparative expression analysis of roots of two soybean varieties Williams 82 and DT2008 that have constrasting drought-responsive phenotype under dehydration and well-watered (control) conditions. Affymetrix’s whole Soybean Gene Expression Microarray (66K) was used.
Project description:Soybean's productivity is significantly compromised by soil salinity, but, like most plants, it has evolved a variety of mechanisms to aid its survival under environmental stress. The expression of many plant genes is altered by salinity stress. We used microarrays to detail the global programme of gene expression and identified distinct up or down-regulated genes between salinity stressed and non stressed soybean Seedlings of the soybean cultivar Williams 82 were grown in vermiculite under a 16h photoperiod at 25 ºC for 14 days. RNA were isolated from the mock (M0, M1, M3, M6, M12, M24) and salinity treated (S0, S1, S3, S6, S12, S24) seedlings. 0.5 µg RNA that extracted from each time point of the mock and salinity-stressed seedlings were mixed respectively to obtain the mock and salinity-stressed RNA pools, and then they were used to synthesize the cDNA. The cDNA was labeled with biotin, and then hybridized to an Affymetrix soybean Genome Array.
Project description:Two high throughput transcript sequencing methods, Digital Gene Expression (DGE) Tag Profiling and RNA-Seq, were used to compare the transcriptional profiles in wild-type (cv. Clark standard, CS) and a mutant (cv. Clark glabrous, i.e., trichomeless or hairless, CG) soybean isoline that carries the dominant P1 allele. DGE data and RNA-Seq data were mapped to the cDNAs (Glyma models) predicted from the reference soybean genome, Williams 82. Extending the model length by 250 bp at both ends resulted in significantly more matches of authentic DGE tags indicating that many of the predicted gene models are prematurely truncated at the 5’ and 3’ UTRs. The genome-wide comparative study of the transcript profiles of the wild-type versus mutant line revealed a number of differentially expressed genes. One highly-expressed gene, Glyma04g35130, in wild-type soybean was of interest as it has high homology to the cotton gene GhRDL1 gene that has been identified as being involved in cotton fiber initiation and is a member of the BURP protein family. Sequence comparison of Glyma04g35130 among Williams 82 with our sequences derived from CS and CG isolines revealed various SNPs and indels including addition of one nucleotide C in the CG and insertion of ~60 bp in the third exon of CS that causes a frameshift mutation and premature truncation of peptides in both lines as compared to Williams 82. 2 samples examined: Clark standard (wild type) and Clark glabrous (soybean hairless mutant)
Project description:Gene expression profiles in resistant (cv. Dowling) and susceptible (Williams 82) soybean genotypes [Glycine max (L.) Merrill] were compared at 6 and 12 h with and without aphid (Aphis glycines Matsumura) infestation using cDNA microarrays consisting of approximately 18,000 soybean-expressed sequence tags. More genes were induced in Dowling than Williams 82 at 6 h after infestation. Genes that were differentially expressed between aphid and control treatments were selected as aphid-response genes. Eighty-four genes showed specific responses in Dowling and included genes related to defense and other processes. Expression of three defense-related genes was examined at 6, 12, 24, 48, and 72 h after infestation in both genotypes by quantitative real-time PCR. The increases in the transcripts of three defense-related genes were earlier and stronger at 6, 12 and 24 h after infestation in Dowling compared to Williams 82. The differential gene expression between the two genotypes without aphids was determined, and five genes with constitutively higher expression levels were found in Dowling. Keywords = genomic Keywords = Defense Responses Keywords = plant Keywords = DNA-binding protein Keywords = PR proteins Keywords = plant resistance Keywords = signal transduction keywords = insect Keywords: susceptible vs resistant