Bound to succeed: Transcription factor binding site prediction and its contribution to understanding virulence and environmental adaptation in bacterial plant pathogens

TL;DR

This paper reviews methods for predicting bacterial transcription factor binding sites, highlighting their role in understanding virulence and adaptation, and proposes improved strategies for genome screening.

Contribution

It provides a comprehensive review of in silico methods for binding site prediction and introduces an improved strategy for establishing E value cutoffs in genome screening.

Findings

Characterized binding site categories across bacterial genera

Insights into virulence mechanisms from binding site mapping

Enhanced genome screening strategies

Abstract

Bacterial plant pathogens rely on a battalion of transcription factors to fine-tune their response to changing environmental conditions and marshal the genetic resources required for successful pathogenesis. Prediction of transcription factor binding sites represents an important tool for elucidating regulatory networks, and has been conducted in multiple genera of plant pathogenic bacteria for the purpose of better understanding mechanisms of survival and pathogenesis. The major categories of transcription factor binding sites that have been characterized are reviewed here with emphasis on in silico methods used for site identification and challenges therein, their applicability to different types of sequence datasets, and insights into mechanisms of virulence and survival that have been gained through binding site mapping. An improved strategy for establishing E value cutoffs when using existing models to screen uncharacterized genomes is also discussed.