Dataset Information

Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen.

ABSTRACT: Microsatellites are a tract of repetitive, short DNA motifs (usually 1 to 6?bp) abundant in eukaryotic genomes. They are robust molecular markers in many areas of studies. Development of microsatellite markers usually involves three steps: (1) obtaining microsatellite-containing sequences, (2) primer design, and (3) screening microsatellite loci for polymorphism. The first and third steps require considerable resources. Next generation sequencing technologies have greatly alleviated the constraint of the first step. In this study, we leveraged the availability of genome assemblies of multiple individuals in many species and designed a comparative genomics approach to bioinformatically identify polymorphic loci. Our approach can eliminate or greatly reduce the need of experimental screening for polymorphism and ensure that the flanking regions do not have length difference that would confound interpretation of genotyping results using microsatellite markers. We applied this approach on Phytophthora sojae, a soybean pathogen, and identified 157 high-quality, informative microsatellite markers in this oomycete. Experimental validation of 20 loci supported bioinformatics predictions. Our approach can be readily applied to other organisms of which the genomes of multiple individuals have been sequenced.

SUBMITTER: Cai G

PROVIDER: S-EPMC6538632 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen.

Cai Guohong G Fleury Tomara J TJ Zhang Ning N

Scientific reports 20190528 1

Microsatellites are a tract of repetitive, short DNA motifs (usually 1 to 6 bp) abundant in eukaryotic genomes. They are robust molecular markers in many areas of studies. Development of microsatellite markers usually involves three steps: (1) obtaining microsatellite-containing sequences, (2) primer design, and (3) screening microsatellite loci for polymorphism. The first and third steps require considerable resources. Next generation sequencing technologies have greatly alleviated the constrai ...[more]

PMID: 31138887

Similar Datasets

Project description:BackgroundPhytophthora root and stem rot (PRR) of soybean, caused by Phytophthora sojae, is controlled by Rps genes. However, little is known regarding the Rps-induced molecular responses to P. sojae and how they actually overlap. We thus sequenced, analyzed, and compared the transcriptomes of 10 near isogenic lines (NILs), each with a unique Rps gene/allele, and the susceptible parent Williams, pre- and post-inoculation with the pathogen.ResultsA total of 4,330 differentially expressed genes (DEGs) were identified in Williams versus 2,014 to 5,499 DEGs in individual NILs upon inoculation with the pathogen. Comparisons of the DEGs between the NILs and Williams identified incompatible interaction genes (IIGs) and compatible interaction genes (CIGs). Hierarchical cluster and heatmap analyses consistently grouped the NILs into three clusters: Cluster I (Rps1-a), Cluster II (Rps1-b, 1-c and 1-k) and Cluster III (Rps3-a, 3-b, 3-c, 4, 5, and 6), suggesting an overlap in Rps-induced defense signaling among certain NILs. Gene ontology (GO) analysis revealed associations between members of the WRKY family and incompatible reactions and between a number of phytohormone signaling pathways and incompatible/compatible interactions. These associations appear to be distinguished according to the NIL clusters.ConclusionsThis study characterized genes and multiple branches of putative regulatory networks associated with resistance to P. sojae in ten soybean NILs, and depicted functional "fingerprints" of individual Rps-mediated resistance responses through comparative transcriptomic analysis. Of particular interest are dramatic variations of detected DEGs, putatively involved in ethylene (ET)-, jasmonic acid (JA)-, (reactive oxygen species) ROS-, and (MAP-kinase) MAPK- signaling, among these soybean NILs, implicating their important roles of these signaling in differentiating molecular defense responses. We hypothesize that different timing and robustness in defense signaling to the same pathogen may be largely responsible for such variations.

Project description:Soybean root rot caused by the oomycete Phytophthora sojae is a serious soilborne disease threatening soybean production in China. Bacillus velezensis FZB42 is a model strain for Gram-positive plant growth-promoting rhizobacteria and is able to produce multiple antibiotics. In this study, we demonstrated that B. velezensis FZB42 can efficiently antagonize P. sojae. The underlying mechanism for the inhibition was then investigated. The FZB42 mutants deficient in the synthesis of lipopeptides (bacillomycin D and fengycin), known to have antifungal activities, and polyketides (bacillaene, difficidin, and macrolactin), known to have antibacterial activities, were not impaired in their antagonism toward P. sojae; in contrast, mutants deficient in bacilysin biosynthesis completely lost their antagonistic activities toward P. sojae, indicating that bacilysin was responsible for the activity. Isolated pure bacilysin confirmed this inference. Bacilysin was previously shown to be antagonistic mainly toward prokaryotic bacteria rather than eukaryotes. Here, we found that bacilysin could severely damage the hyphal structures of P. sojae and lead to the loss of its intracellular contents. A device was invented allowing interactions between P. sojae and B. velezensis FZB42 on nutrient agar. In this manner, the effect of FZB42 on P. sojae was studied by transcriptomics. FZB42 significantly inhibited the expression of P. sojae genes related to growth, macromolecule biosynthesis, pathogenicity, and ribosomes. Among them, the genes for pectate lyase were the most significantly downregulated. Additionally, we showed that bacilysin effectively prevents soybean sprouts from being infected by P. sojae and could antagonize diverse Phytophthora species, such as Phytophthora palmivora, P. melonis, P. capsici, P. litchi, and, most importantly, P. infestans. IMPORTANCE Phytophthora spp. are widespread eukaryotic phytopathogens and often extremely harmful. Phytophthora can infect many types of plants important to agriculture and forestry and thus cause large economic losses. Perhaps due to inappropriate recognition of Phytophthora as a common pathogen in history, research on the biological control of Phytophthora is limited. This study shows that B. velezensis FZB42 can antagonize various Phytophthora species and prevent the infection of soybean seedlings by P. sojae. The antibiotic produced by FZB42, bacilysin, which was already known to have antibacterial effectiveness, is responsible for the inhibitory action against Phytophthora. We further showed that some Phytophthora genes and pathways may be targeted in future biocontrol studies. Therefore, our data provide a basis for the development of new tools for the prevention and control of root and stem rot in soybean and other plant diseases caused by Phytophthora.

Dataset Information

Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen.

Publications

Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets