Dataset Information

Genome Wide Analysis for Searching Novel Markers to Rapidly Identify Clostridium Strains.

ABSTRACT: Microbial classification is based largely on the 16S rRNA (rrs) gene sequence, which is conserved throughout the prokaryotic domain. The Ribosomal Database Project (RDP) has become a reference point for almost all practical purposes. The use of this gene is limited by the fact that it can be used to identify only to the extent to what has been known and is available in the RDP. In order to identify an organism whose rrs is not present in the RDP database, we need to generate novel markers to place the unknown on the evolutionary map. Here, sequenced genomes of 27 Clostridium strains belonging to 9 species have been used to identify two sets of genes: (1) common to most of the species, and (2) unique to a species. Combinations of genes (recN, dnaJ, secA, mutS, and/or grpE) and their unique restriction endonuclease digestion (AluI, BfaI and/or Tru9I) patterns have been established to rapidly identify Clostridium species. This strategy for identifying novel markers can be extended to all other organisms and diagnostic applications.

SUBMITTER: Kekre A

PROVIDER: S-EPMC4456502 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature

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Genome Wide Analysis for Searching Novel Markers to Rapidly Identify Clostridium Strains.

Kekre Anay A Bhushan Ashish A Kumar Prasun P Kalia Vipin Chandra VC

Indian journal of microbiology 20150514 3

Microbial classification is based largely on the 16S rRNA (rrs) gene sequence, which is conserved throughout the prokaryotic domain. The Ribosomal Database Project (RDP) has become a reference point for almost all practical purposes. The use of this gene is limited by the fact that it can be used to identify only to the extent to what has been known and is available in the RDP. In order to identify an organism whose rrs is not present in the RDP database, we need to generate novel markers to pla ...[more]

PMID: 26063934

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Project description:Claviceps purpurea is a pathogen that infects most members of Pooideae, a subfamily of Poaceae, and causes ergot, a floral disease in which the ovary is replaced with a sclerotium. When the ergot body is accidently consumed by either man or animal in high enough quantities, there is extreme pain, limb loss and sometimes death.This study was initiated to develop simple sequence repeat (SSRs) markers for rapid identification of C. purpurea. SSRs were designed from sequence data stored at the National Center for Biotechnology Information database. The study consisted of 74 ergot isolates, from four different host species, Lolium perenne, Poa pratensis, Bromus inermis, and Secale cereale plus three additional Claviceps species, C. pusilla, C. paspali and C.fusiformis. Samples were collected from six different counties in Oregon and Washington over a 5-year period. Thirty-four SSR markers were selected, which enabled the differentiation of each isolate from one another based solely on their molecular fingerprints. Discriminant analysis of principle components was used to identify four isolate groups, CA Group 1, 2, 3, and 4, for subsequent cluster and molecular variance analyses. CA Group 1 consisting of eight isolates from the host species P. pratensis, was separated on the cluster analysis plot from the remaining three groups and this group was later identified as C. humidiphila. The other three groups were distinct from one another, but closely related. These three groups contained samples from all four of the host species. These SSRs are simple to use, reliable and allowed clear differentiation of C. humidiphila from C. purpurea. Isolates from the three separate species, C. pusilla, C. paspali and C.fusiformis, also amplified with these markers.The SSR markers developed in this study will be helpful in defining the population structure and genetics of Claviceps strains. They will also provide valuable tools for plant breeders needing to identify resistance in crops or for researchers examining fungal movements across environments.

Dataset Information

Genome Wide Analysis for Searching Novel Markers to Rapidly Identify Clostridium Strains.

Publications

Genome Wide Analysis for Searching Novel Markers to Rapidly Identify Clostridium Strains.

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