Taxonomy Citation ID | Reference | ||||
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20956 |
Heylen K,
Vanparys B,
Peirsegaele F,
Lebbe L,
De Vos P,
( 2007 ) Stenotrophomonas terrae sp. nov. and Stenotrophomonas humi sp. nov., two nitrate-reducing bacteria isolated from soil. PMID : 17766871 DOI : 10.1099/ijs.0.65044-0 Abstract >>
Three Gram-negative, rod-shaped, non-spore-forming, nitrate-reducing isolates (R-32746, R-32768(T) and R-32729(T)) were obtained from soil. Analysis of repetitive sequence-based PCR showed that the three isolates represented two different strains. 16S rRNA gene sequence analysis and DNA-DNA hybridization placed them within the genus Stenotrophomonas and revealed that they were genotypically different from each other and from all recognized Stenotrophomonas species. Analysis of the fatty acid composition and physiological and biochemical tests allowed differentiation from their closest phylogenetic neighbours. They are therefore considered to represent two novel species, for which the names Stenotrophomonas terrae sp. nov. and Stenotrophomonas humi sp. nov. are proposed, with strains R-32768(T) (=LMG 23958(T)=DSM 18941(T)) and R-32729(T) (=LMG 23959(T)=DSM 18929(T)), respectively, as the type strains.
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46327 |
Patil PP,
Midha S,
Kumar S,
Patil PB,
( 2016 ) Genome Sequence of Type Strains of Genus Stenotrophomonas. PMID : 27014232 DOI : 10.3389/fmicb.2016.00309 PMC : PMC4785145 Abstract >>
Genomic resource of type strains and historically important strains of genus Stenotrophomonas allowed us to reveal the existence of 18 distinct species by applying modern phylogenomic criterions. Apart from Stenotrophomonas maltophilia, S. africana represents another species of clinical importance. Interestingly, Pseudomonas hibsicola, P. beteli, and S. pavani that are of plant origin are closer to S. maltophilia than the majority of the environmental isolates. The genus has an open pan-genome. By providing the case study on genes encoding metallo-�]-lactamase and Clustered Regularly Interspaced Short Palindrome Repeats (CRISPR) regions, we have tried to show the importance of this genomic dataset in understanding its ecology.
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