Merging taxonomy with ecological population prediction in a case study of Vibrionaceae.
نویسندگان
چکیده
We synthesized population structure data from three studies that assessed the fine-scale distribution of Vibrionaceae among temporally and spatially distinct environmental categories in coastal seawater and animals. All studies used a dynamic model (AdaptML) to identify phylogenetically cohesive and ecologically distinct bacterial populations and their predicted habitats without relying on a predefined genetic cutoff or relationships to previously named species. Across the three studies, populations were highly overlapping, displaying similar phylogenetic characteristics (identity and diversity), and were predominantly congruent with taxonomic Vibrio species previously characterized as genotypic clusters by multilocus sequence analysis (MLSA). The environmental fidelity of these populations appears high, with 9 out of 12 reproducibly associating with the same predicted (micro)habitats when similar environmental categories were sampled. Overall, this meta-analysis provides information on the habitat predictability and structure of previously described species, demonstrating that MLSA-based taxonomy can, at least in some cases, serve to approximate ecologically cohesive populations.
منابع مشابه
Assessment of Watershed Catchment Ecological Power with Taxonomy Method for Watershed Comprehensive Management (Case Study: Watershed Zydasht, Taleghan)
Nowadays watershed catchments have been introduced as the main point of permanent development in many management discussions. Watershed catchments ecological power assessment and their rankings according to different Ethological criteria is one of the important factors in watershed catchments planning and management. Taxonomy method is one of the most comprehensive planned systems for assessing...
متن کاملO-3: Drug Repositioning by Merging Gene Expression Data Analysis and Cheminformatics Target Prediction Approaches
The transcriptional responses of drug treatments combined with a protein target prediction algorithm was utilised to associate compounds to biological genomic space. This enabled us to predict efficacy of compounds in cMap and LINCS against 181 databases of diseases extracted from GEO. 18/30 of top drugs predicted for leukemia (e.g. Leflunomide and Etoposide) and breast cancer (e.g. Tamoxifen a...
متن کاملHabitat segregation and biochemical activities of marine members of the family vibrionaceae.
A comparative study of marine members of the family Vibrionaceae with the technique of numerical taxonomy revealed habitat segregation as well as a cosmopolitan nature of species distribution among the vibrios in different marine environments. The bacterial strains analyzed were isolated from seawater, sediments, phyto- and zooplankton, and fish in the Indian Ocean, the South and East China Sea...
متن کاملAn analysis of merging effects on academic culture
Since the merging of organizations and institutions has undeniable effects on them, and appropriate action is needed in this regard. The present research selected the merging of Shahid-Abbaspour University in Shahid-Beheshti University as a case study to identify the effects of this action. This study, in terms of purpose and method, is applied and descriptive-survey, respectively. The general...
متن کاملA Seismic Factor of Radon Danger on a Case Study of Armenia
For the first time, on the basis of Spitak earthquake experience (Armenia, December 1988), it was found that an earthquake causes intensive and prolonged radon releases that are quickly dispersed in the open air and that is why they are not usually registered but contrastingly displayed in covered premises (such as dwelling houses, schools, kindergartens) even if they are at a considerable dist...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Applied and environmental microbiology
دوره 77 20 شماره
صفحات -
تاریخ انتشار 2011