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Multiple-genome comparison reveals new loci for Mycobacterium species identification.

ABSTRACT: To identify loci useful for species identification and to enhance our understanding of the population structure and genetic variability of the genus Mycobacterium, we conducted a multiple-genome comparison of a total of 27 sequenced genomes in the suborder of Corynebacterineae (18 from the Mycobacterium genus, 7 from the Corynebacterium genus, 1 each from the Nocardia and Rhodococcus genera). Our study revealed 26 informative loci for species identification in Mycobacterium. The sequences from these loci were used in a phylogenetic analysis to infer the evolutionary relations of the 18 mycobacterial genomes. Among the loci that we identified, rpoBC, dnaK, and hsp65 were amplified from 29 ATCC reference strains and 17 clinical isolates and sequenced. The phylogenetic trees generated from these loci show similar topologies. The newly identified dnaK locus is more discriminatory and more robust than the widely used hsp65 locus. The length-variable rpoBC locus is the first intergenic locus between two protein-encoding genes being used for mycobacterial species identification. A multilocus sequence analysis system including the rpoBC, dnaK, and hsp65 loci is a robust tool for accurate identification of Mycobacterium species.

SUBMITTER: Dai J

PROVIDER: S-EPMC3020452 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature

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Multiple-genome comparison reveals new loci for Mycobacterium species identification.

Dai Jianli J Chen Yuansha Y Dean Susan S Morris J Glenn JG Salfinger Max M Johnson Judith A JA

Journal of clinical microbiology 20101103 1

To identify loci useful for species identification and to enhance our understanding of the population structure and genetic variability of the genus Mycobacterium, we conducted a multiple-genome comparison of a total of 27 sequenced genomes in the suborder of Corynebacterineae (18 from the Mycobacterium genus, 7 from the Corynebacterium genus, 1 each from the Nocardia and Rhodococcus genera). Our study revealed 26 informative loci for species identification in Mycobacterium. The sequences from t ...[more]

PMID: 21048007

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Project description:The genetic similarity between Mycobacterium avium subsp. paratuberculosis and other mycobacterial species has confounded the development of M. avium subsp. paratuberculosis-specific diagnostic reagents. Random shotgun sequencing of the M. avium subsp. paratuberculosis genome in our laboratories has shown >98% sequence identity with Mycobacterium avium subsp. avium in some regions. However, an in silico comparison of the largest annotated M. avium subsp. paratuberculosis contigs, totaling 2,658,271 bp, with the unfinished M. avium subsp. avium genome has revealed 27 predicted M. avium subsp. paratuberculosis coding sequences that do not align with M. avium subsp. avium sequences. BLASTP analysis of the 27 predicted coding sequences (genes) shows that 24 do not match sequences in public sequence databases, such as GenBank. These novel sequences were examined by PCR amplification with genomic DNA from eight mycobacterial species and ten independent isolates of M. avium subsp. paratuberculosis. From these analyses, 21 genes were found to be present in all M. avium subsp. paratuberculosis isolates and absent from all other mycobacterial species tested. One region of the M. avium subsp. paratuberculosis genome contains a cluster of eight genes, arranged in tandem, that is absent in other mycobacterial species. This region spans 4.4 kb and is separated from other predicted coding regions by 1,408 bp upstream and 1,092 bp downstream. The gene upstream of this eight-gene cluster has strong similarity to mycobacteriophage integrase sequences. The GC content of this 4.4-kb region is 66%, which is similar to the rest of the genome, indicating that this region was not horizontally acquired recently. Southern hybridization analysis confirmed that this gene cluster is present only in M. avium subsp. paratuberculosis. Collectively, these studies suggest that a genomics approach will help in identifying novel M. avium subsp. paratuberculosis genes as candidate diagnostic sequences.

Project description:BackgroundOsteoarthritis is the most common form of arthritis worldwide and is a major cause of pain and disability in elderly people. The health economic burden of osteoarthritis is increasing commensurate with obesity prevalence and longevity. Osteoarthritis has a strong genetic component but the success of previous genetic studies has been restricted due to insufficient sample sizes and phenotype heterogeneity.MethodsWe undertook a large genome-wide association study (GWAS) in 7410 unrelated and retrospectively and prospectively selected patients with severe osteoarthritis in the arcOGEN study, 80% of whom had undergone total joint replacement, and 11,009 unrelated controls from the UK. We replicated the most promising signals in an independent set of up to 7473 cases and 42,938 controls, from studies in Iceland, Estonia, the Netherlands, and the UK. All patients and controls were of European descent.FindingsWe identified five genome-wide significant loci (binomial test p≤5·0×10(-8)) for association with osteoarthritis and three loci just below this threshold. The strongest association was on chromosome 3 with rs6976 (odds ratio 1·12 [95% CI 1·08-1·16]; p=7·24×10(-11)), which is in perfect linkage disequilibrium with rs11177. This SNP encodes a missense polymorphism within the nucleostemin-encoding gene GNL3. Levels of nucleostemin were raised in chondrocytes from patients with osteoarthritis in functional studies. Other significant loci were on chromosome 9 close to ASTN2, chromosome 6 between FILIP1 and SENP6, chromosome 12 close to KLHDC5 and PTHLH, and in another region of chromosome 12 close to CHST11. One of the signals close to genome-wide significance was within the FTO gene, which is involved in regulation of bodyweight-a strong risk factor for osteoarthritis. All risk variants were common in frequency and exerted small effects.InterpretationOur findings provide insight into the genetics of arthritis and identify new pathways that might be amenable to future therapeutic intervention.FundingarcOGEN was funded by a special purpose grant from Arthritis Research UK.

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Multiple-genome comparison reveals new loci for Mycobacterium species identification.

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Multiple-genome comparison reveals new loci for Mycobacterium species identification.

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