Evidence map›Paper›PMID 31896348›Full record

ArticleBMC microbiology2020

An improved bind-n-seq strategy to determine protein-DNA interactions validated using the bacterial transcriptional regulator YipR.

Shi-Qi An, Miguel A Valvano, Yan-Hua Yu, Jeremy S Webb, Guillermo Lopez Campos

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Article in BMC microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shi-Qi AnNational Biofilms Innovation Centre (NBIC), Biological Sciences, University of Southampton, Southampton, SO17 1BJ, UK. s-q.an@soton.ac.uk.ORCID 0000-0002-2593-9642
Miguel A ValvanoWellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, UK.
Yan-Hua YuState Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Science and Technology, Guangxi University, Nanning, 530004, Guangxi, China.
Jeremy S WebbNational Biofilms Innovation Centre (NBIC), Biological Sciences, University of Southampton, Southampton, SO17 1BJ, UK.
Guillermo Lopez CamposWellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, BT9 7BL, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/R012415/1State Key Laboratory Program SKLCUSA-b201817Wellcome TrustWellcome Trust 100204/A/12/Z
6 · The paper itself

Abstract

backgroundInteractions between transcription factors and DNA lie at the centre of many biological processes including DNA recombination, replication, repair and transcription. Most bacteria encode diverse proteins that act as transcription factors to regulate various traits. Several technologies for identifying protein-DNA interactions at the genomic level have been developed. Bind-n-seq is a high-throughput in vitro method first deployed to analyse DNA interactions associated with eukaryotic zinc-finger proteins. The method has three steps (i) binding protein to a randomised oligonucleotide DNA target library, (ii) deep sequencing of bound oligonucleotides, and (iii) a computational algorithm to define motifs among the sequences. The classical Bind-n-seq strategy suffers from several limitations including a lengthy wet laboratory protocol and a computational algorithm that is difficult to use. We introduce here an improved, rapid, and simplified Bind-n-seq protocol coupled with a user-friendly downstream data analysis and handling algorithm, which has been optimized for bacterial target proteins. We validate this new protocol by showing the successful characterisation of the DNA-binding specificities of YipR (YajQ interacting protein regulator), a well-known transcriptional regulator of virulence genes in the bacterial phytopathogen Xanthomonas campestris pv. campestris (Xcc).

resultsThe improved Bind-n-seq approach identified several DNA binding motif sequences for YipR, in particular the CCCTCTC motif, which were located in the promoter regions of 1320 Xcc genes. Informatics analysis revealed that many of these genes regulate functions associated with virulence, motility, and biofilm formation and included genes previously found involved in virulence. Additionally, electromobility shift assays show that YipR binds to the promoter region of XC_2633 in a CCCTCTC motif-dependent manner.

conclusionWe present a new and rapid Bind-n-seq protocol that should be useful to investigate DNA-binding proteins in bacteria. The analysis of YipR DNA binding using this protocol identifies a novel DNA sequence motif in the promoter regions of target genes that define the YipR regulon.

Indexed as

AlgorithmsBacterial ProteinsBinding SitesComputational BiologyDNA, BacterialGene Expression Regulation, BacterialHigh-Throughput Nucleotide SequencingNucleotide MotifsOligonucleotidesPromoter Regions, GeneticProtein BindingTranscription FactorsUser-Computer InterfaceXanthomonas campestrisBacterial ProteinsDNA, BacterialOligonucleotidesTranscription FactorsBind-n-seqGene expressionProtein–DNA interactionsTranscription regulatorVirulenceXanthomonas

Identifiers

PMID31896348
PMCPMC6941359

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.