using snps to decode anthrax

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Bacillus anthracis, commonly referred to as anthrax, has been a tough microbe to crack genetically because its strains exhibit minimal variation worldwide. But a new bacterial typing system developed by researchers at the Northern Arizona University (NAU), the Translational Genomics Research Institute (TGen) and The Institute for Genomic Research (TIGR) has enabled them to detect minute variations among several anthrax isolates and holds potential for similar discoveries in other pathogens. Evolutionary history Anthrax does not appear to accumulate mutations at a high rate and most of the mutations that that occur are stable. As a result, genetic fingerprinting has failed to fully identify the group’s phylogenic diversity [1]. ‘Most strains differ by between 400 and not even 100 nucleotides out of 5 million,’ says Jacques Ravel, an Assistant Investigator in Microbial Genomics at TIGR (http://www.tigr.org). ‘You just can’t access this diversity using [conventional] typing systems.’ Paul Keim, Cowden Endowed Chair in Microbiology at NAU (http://www.nau. edu) and Director of the Pathogen Genomics Division at TGen (http://www.tgen.org), recently led the development of a novel identification approach that was able to define the evolution of anthrax with remarkable accuracy [2]. ‘We went through and picked out very different strains of Bacillus anthracis to sequence their whole genome,’ he explains. SNPs, the single nucleotide polymorphisms or differences among strains, were identified and characterized. It turns out that anthrax has three major phylogenic lineages: the A branch is the most successful and accounts for 85% of all cases worldwide; the B1 and B2 branches account for ~15% of the total; and the C branch, which has evolved very slowly, is rare [2]. New detection model The researchers mapped 990 of about 3,500 SNPs that were identified from five anthrax strain sequences [2]. By ‘canonizing’ redundant SNPs, essentially choosing one SNP to represent those that provide the same diagnostic information, the significant differences were summarized in 24 SNPs, says Keim. His laboratory has since used this information to develop diagnostic assays that can differentiate between two strains of anthrax at the single nucleotide level. ‘The SNPs that we used to determine the evolution of anthrax fit right into a diagnostic strategy,’ Keim says. This has obvious implications for forensics, says Philip Hanna, Assistant Professor of Microbiology and Immunology at the University of Michigan Medical School (http://www. med.umich.edu/medschool/). ‘They can use these SNPs to track strains and pinpoint them to other strains throughout the world.’ Those involved in anthrax decontamination efforts also will be able ‘to detect what strain it is very quickly,’ says Ravel. Further studies underway with plague suggest the same approach will work with it and other pathogens that pose bioterrorism or public health risks. ‘You’re developing tools for the forensics toolkit that could play an important role in [determining] how cholera travels around the world,’ suggests Jennie Hunter-Cevera, President of the University of Maryland Biotechnology Institute (http://www.umbi.umd.edu/). Ultimately, this could lead those working in clinical microbiology and infectious diseases to develop ‘prophylactic approaches, new class of antibiotics and perhaps even better vaccines’, she adds. Drug discovery These findings are good news for those working to develop an anthrax vaccine. ‘It shows quite strongly that one strain may not be worse than another in causing disease,’ says Hanna. ‘They look very similar and the differences are mainly at the point of these SNPs that don’t really change the way the bug interacts with its environment, its metabolism or its pathogenesis.’ References 1 Keim, P. et al. (2000) Multiple-locus variable- number tandem repeat analysis reveals genetic relationships within Bacillus anthracis. J. Bacteriol. 182, 2928–2936 2 Pearson, T. et al. (2004) Phylogenetic discovery bias in Bacillus anthracis using single nucleotide polymorphisms from whole genome sequencing. Proc. Nat. Acad. Sci. U. S. A. DOI: 10.1073/pnas.0403844101 (Epub ahead of print; http://www.pnas.org) DDT Vol. 9, No. 20 October 2004 update news 1359-6446/04/$ – see front matter ©2004 Elsevier Ltd. All rights reserved. PII: S1359-6446(04)03256-8 863 www.drugdiscoverytoday.com Using SNPs to decode anthrax Vida Foubister, [email protected] Bacillis anthracis visible as white colonies on a petri dish with other bacteria. Image courtesy of P. Keim of the Northern Arizona University and the Translational Genomics Research Institute (http://www.tgen.org).

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Page 1: Using SNPs to decode anthrax

Bacillus anthracis, commonly referred toas anthrax, has been a tough microbe tocrack genetically because its strainsexhibit minimal variation worldwide. Buta new bacterial typing system developedby researchers at the Northern ArizonaUniversity (NAU), the TranslationalGenomics Research Institute (TGen) andThe Institute for Genomic Research(TIGR) has enabled them to detectminute variations among several anthraxisolates and holds potential for similardiscoveries in other pathogens.

Evolutionary historyAnthrax does not appear to accumulatemutations at a high rate and most of themutations that that occur are stable. Asa result, genetic fingerprinting has failedto fully identify the group’s phylogenicdiversity [1]. ‘Most strains differ bybetween 400 and not even 100nucleotides out of 5 million,’ saysJacques Ravel, an Assistant Investigatorin Microbial Genomics at TIGR(http://www.tigr.org). ‘You just can’taccess this diversity using [conventional]typing systems.’

Paul Keim, Cowden Endowed Chair inMicrobiology at NAU (http://www.nau.edu) and Director of the PathogenGenomics Division at TGen(http://www.tgen.org), recently led thedevelopment of a novel identificationapproach that was able to define theevolution of anthrax with remarkableaccuracy [2]. ‘We went through andpicked out very different strains ofBacillus anthracis to sequence theirwhole genome,’ he explains. SNPs, thesingle nucleotide polymorphisms ordifferences among strains, wereidentified and characterized.

It turns out that anthrax has threemajor phylogenic lineages: the A branch

is the most successful and accounts for85% of all cases worldwide; the B1 andB2 branches account for ~15% of thetotal; and the C branch, which hasevolved very slowly, is rare [2].

New detection modelThe researchers mapped 990 of about3,500 SNPs that were identified fromfive anthrax strain sequences [2]. By‘canonizing’ redundant SNPs, essentiallychoosing one SNP to represent thosethat provide the same diagnosticinformation, the significant differenceswere summarized in 24 SNPs, says Keim.His laboratory has since used thisinformation to develop diagnostic assaysthat can differentiate between twostrains of anthrax at the singlenucleotide level. ‘The SNPs that we used to determine the evolution ofanthrax fit right into a diagnosticstrategy,’ Keim says.

This has obvious implications forforensics, says Philip Hanna, AssistantProfessor of Microbiology andImmunology at the University ofMichigan Medical School (http://www.med.umich.edu/medschool/). ‘They canuse these SNPs to track strains andpinpoint them to other strainsthroughout the world.’ Those involvedin anthrax decontamination efforts alsowill be able ‘to detect what strain it isvery quickly,’ says Ravel.

Further studies underway with plaguesuggest the same approach will workwith it and other pathogens that posebioterrorism or public health risks.‘You’re developing tools for the forensicstoolkit that could play an important rolein [determining] how cholera travelsaround the world,’ suggests JennieHunter-Cevera, President of theUniversity of Maryland Biotechnology

Institute (http://www.umbi.umd.edu/).Ultimately, this could lead those workingin clinical microbiology and infectiousdiseases to develop ‘prophylacticapproaches, new class of antibiotics andperhaps even better vaccines’, she adds.

Drug discoveryThese findings are good news for thoseworking to develop an anthrax vaccine.‘It shows quite strongly that one strainmay not be worse than another incausing disease,’ says Hanna. ‘They lookvery similar and the differences aremainly at the point of these SNPs thatdon’t really change the way the buginteracts with its environment, itsmetabolism or its pathogenesis.’

References1 Keim, P. et al. (2000) Multiple-locus variable-

number tandem repeat analysis revealsgenetic relationships within Bacillusanthracis. J. Bacteriol. 182, 2928–2936

2 Pearson, T. et al. (2004) Phylogeneticdiscovery bias in Bacillus anthracis using singlenucleotide polymorphisms from wholegenome sequencing. Proc. Nat. Acad. Sci.U. S. A. DOI: 10.1073/pnas.0403844101 (Epub ahead of print; http://www.pnas.org)

DDT Vol. 9, No. 20 October 2004 updatenews

1359-6446/04/$ – see front matter ©2004 Elsevier Ltd. All rights reserved. PII: S1359-6446(04)03256-8 863www.drugdiscoverytoday.com

Using SNPs to decode anthraxVida Foubister, [email protected]

Bacillis anthracis visible as white colonieson a petri dish with other bacteria.Image courtesy of P. Keim of theNorthern Arizona University and theTranslational Genomics ResearchInstitute (http://www.tgen.org).