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Digital genotyping of sorghum - a diverse plant species with a large repeat-rich genome.

ABSTRACT: BACKGROUND: Rapid acquisition of accurate genotyping information is essential for all genetic marker-based studies. For species with relatively small genomes, complete genome resequencing is a feasible approach for genotyping; however, for species with large and highly repetitive genomes, the acquisition of whole genome sequences for the purpose of genotyping is still relatively inefficient and too expensive to be carried out on a high-throughput basis. Sorghum bicolor is a C4 grass with a sequenced genome size of ~730 Mb, of which ~80% is highly repetitive. We have developed a restriction enzyme targeted genome resequencing method for genetic analysis, termed Digital Genotyping (DG), to be applied to sorghum and other grass species with large repeat-rich genomes. RESULTS: DG templates are generated using one of three methylation sensitive restriction enzymes that recognize a nested set of 4, 6 or 8 bp GC-rich sequences, enabling varying depth of analysis and integration of results among assays. Variation in sequencing efficiency among DG markers was correlated with template GC-content and length. The expected DG allele sequence was obtained 97.3% of the time with a ratio of expected to alternative allele sequence acquisition of >20:1. A genetic map aligned to the sorghum genome sequence with an average resolution of 1.47 cM was constructed using 1,772 DG markers from 137 recombinant inbred lines. The DG map enhanced the detection of QTL for variation in plant height and precisely aligned QTL such as Dw3 to underlying genes/alleles. Higher-resolution NgoMIV-based DG haplotypes were used to trace the origin of DNA on SBI-06, spanning Ma1 and Dw2 from progenitors to BTx623 and IS3620C. DG marker analysis identified the correct location of two miss-assembled regions and located seven super contigs in the sorghum reference genome sequence. CONCLUSION: DG technology provides a cost-effective approach to rapidly generate accurate genotyping data in sorghum. Currently, data derived from DG are used for many marker-based analyses, including marker-assisted breeding, pedigree and QTL analysis, genetic map construction, map-based gene cloning and association studies. DG in combination with whole genome resequencing is dramatically accelerating all aspects of genetic analysis of sorghum, an important genetic reference for C4 grass species.

SUBMITTER: Morishige DT

PROVIDER: S-EPMC3716661 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Digital genotyping of sorghum - a diverse plant species with a large repeat-rich genome.

Morishige Daryl T DT Klein Patricia E PE Hilley Josie L JL Sahraeian Sayed Mohammad Ebrahim SM Sharma Arun A Mullet John E JE

BMC genomics 20130705

<h4>Background</h4>Rapid acquisition of accurate genotyping information is essential for all genetic marker-based studies. For species with relatively small genomes, complete genome resequencing is a feasible approach for genotyping; however, for species with large and highly repetitive genomes, the acquisition of whole genome sequences for the purpose of genotyping is still relatively inefficient and too expensive to be carried out on a high-throughput basis. Sorghum bicolor is a C4 grass with ...[more]

PMID: 23829350

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Project description:BackgroundMicroRNAs (miRNAs) are recently discovered small non-coding RNAs that play pivotal roles in gene expression, specifically at the post-transcriptional level in plants and animals. Identification of miRNAs in large number of diverse plant species is important to understand the evolution of miRNAs and miRNA-targeted gene regulations. Now-a-days, publicly available databases play a central role in the in-silico biology. Because, at least ~21 miRNA families are conserved in higher plants, a homology based search using these databases can help identify orthologs or paralogs in plants.ResultsWe searched all publicly available nucleotide databases of genome survey sequences (GSS), high-throughput genomics sequences (HTGS), expressed sequenced tags (ESTs) and nonredundant (NR) nucleotides and identified 682 miRNAs in 155 diverse plant species. We found more than 15 conserved miRNA families in 11 plant species, 10 to14 families in 10 plant species and 5 to 9 families in 29 plant species. Nineteen conserved miRNA families were identified in important model legumes such as Medicago, Lotus and soybean. Five miRNA families - miR319, miR156/157, miR169, miR165/166 and miR394 - were found in 51, 45, 41, 40 and 40 diverse plant species, respectively. miR403 homologs were found in 16 dicots, whereas miR437 and miR444 homologs, as well as the miR396d/e variant of the miR396 family, were found only in monocots, thus providing large-scale authenticity for the dicot- and monocot-specific miRNAs. Furthermore, we provide computational and/or experimental evidence for the conservation of 6 newly found Arabidopsis miRNA homologs (miR158, miR391, miR824, miR825, miR827 and miR840) and 2 small RNAs (small-85 and small-87) in Brassica spp.ConclusionUsing all publicly available nucleotide databases, 682 miRNAs were identified in 155 diverse plant species. By combining the expression analysis with the computational approach, we found that 6 miRNAs and 2 small RNAs that have been identified only in Arabidopsis thus far, are also conserved in Brassica spp. These findings will be useful for tracing the evolution of small RNAs by examining their expression in common ancestors of the Arabidopsis-Brassica lineage.

Project description:BackgroundA recent outbreak of sorghum downy mildew in Texas has led to the discovery of both metalaxyl resistance and a new pathotype in the causal organism, Peronosclerospora sorghi. These observations and the difficulty in resolving among phylogenetically related downy mildew pathogens dramatically point out the need for simply scored markers in order to differentiate among isolates and species, and to study the population structure within these obligate oomycetes. Here we present the initial results from the use of a biotin capture method to discover, clone and develop PCR primers that permit the use of simple sequence repeats (microsatellites) to detect differences at the DNA level.ResultsAmong the 55 primers pairs designed from clones from pathotype 3 of P. sorghi, 36 flanked microsatellite loci containing simple repeats, including 28 (55%) with dinucleotide repeats and 6 (11%) with trinucleotide repeats. A total of 22 microsatellites with CA/AC or GT/TG repeats were the most abundant (40%) and GA/AG or CT/TC types contribute 15% in our collection. When used to amplify DNA from 19 isolates from P. sorghi, as well as from 5 related species that cause downy mildew on other hosts, the number of different bands detected for each SSR primer pair using a LI-COR- DNA Analyzer ranged from two to eight. Successful cross-amplification for 12 primer pairs studied in detail using DNA from downy mildews that attack maize (P. maydis & P. philippinensis), sugar cane (P. sacchari), pearl millet (Sclerospora graminicola) and rose (Peronospora sparsa) indicate that the flanking regions are conserved in all these species. A total of 15 SSR amplicons unique to P. philippinensis (one of the potential threats to US maize production) were detected, and these have potential for development of diagnostic tests. A total of 260 alleles were obtained using 54 microsatellites primer combinations, with an average of 4.8 polymorphic markers per SSR across 34 Peronosclerospora, Peronospora and Sclerospora spp isolates studied. Cluster analysis by UPGMA as well as principal coordinate analysis (PCA) grouped the 34 isolates into three distinct groups (all 19 isolates of Peronosclerospora sorghi in cluster I, five isolates of P. maydis and three isolates of P. sacchari in cluster II and five isolates of Sclerospora graminicola in cluster III).ConclusionTo our knowledge, this is the first attempt to extensively develop SSR markers from Peronosclerospora genomic DNA. The newly developed SSR markers can be readily used to distinguish isolates within several species of the oomycetes that cause downy mildew diseases. Also, microsatellite fragments likely include retrotransposon regions of DNA and these sequences can serve as useful genetic markers for strain identification, due to their degree of variability and their widespread occurrence among sorghum, maize, sugarcane, pearl millet and rose downy mildew isolates.

Dataset Information

Digital genotyping of sorghum - a diverse plant species with a large repeat-rich genome.

Publications

Digital genotyping of sorghum - a diverse plant species with a large repeat-rich genome.

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