NBSPred: a support vector machine-based high-throughput pipeline for plant resistance protein NBSLRR prediction.

Bioinformatics

Department of Biology, Lund University, Ecology Building, Lund 22363, Sweden, Bioinformatics Infrastructure for Life Sciences (BILS), Lund University, Lund, Sweden.

Published: April 2016

AI Article Synopsis

  • The study focuses on nucleotide binding site leucine-rich repeats (NBSLRRs), a family of genes in plants that help protect against pathogens, but the overall understanding of plant defense mechanisms is still limited.
  • A new tool called NBSPred was developed, utilizing a support vector machine to quickly identify NBSLRR and NBSLRR-like proteins from various genomic sequences, which is a complex and time-intensive process.
  • The effectiveness of NBSPred has been validated using sequences from several plant species, and it is publicly accessible online for researchers to use.

Article Abstract

Unlabelled: The nucleotide binding site leucine-rich repeats (NBSLRRs) belong to one of the largest known families of disease resistance genes that encode resistance proteins (R-protein) against the pathogens of plants. Various defence mechanisms have explained the regulation of plant immunity, but still, we have limited understanding about plant defence against different pathogens. Identification of R-proteins and proteins having R-protein-like features across the genome, transcriptome and proteome would be highly useful to develop the global understanding of plant defence mechanisms, but it is laborious and time-consuming task. Therefore, we have developed a support vector machine-based high-throughput pipeline called NBSPred to differentiate NBSLRR and NBSLRR-like protein from Non-NBSLRR proteins from genome, transcriptome and protein sequences. The pipeline was tested and validated with input sequences from three dicot and two monocot plants including Arabidopsis thaliana, Boechera stricta, Brachypodium distachyon Solanum lycopersicum and Zea mays.

Availability And Implementation: The NBSPred pipeline is available at http://soilecology.biol.lu.se/nbs/

Supplementary Information: Supplementary data are available at Bioinformatics online.

Contact: sandeep.kushwaha@biol.lu.se.

Download full-text PDF

Source
http://dx.doi.org/10.1093/bioinformatics/btv714DOI Listing

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