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Deciphering the evolutionary affiliations among bacterial strains (Pseudomonas and Frankia sp.) inhabiting same ecological niche using virtual RFLP and simulation-based approaches

To decipher an evolutionary lineage between two different but important bacterial groups, i.e., Pseudomonas strain (γ-Proteobacteria) and Frankia strain (actinobacteria) growing in the same ecological niche in and around of an actinorhizal plant Hippophae salicifolia D. Don, genetic diversity and co...

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Autores principales: Srivastava, Meenakshi, Kaushik, Manish Singh, Srivastava, Amrita, Singh, Anumeha, Verma, Ekta, Mishra, Arun Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993716/
https://www.ncbi.nlm.nih.gov/pubmed/28330250
http://dx.doi.org/10.1007/s13205-016-0488-5
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author Srivastava, Meenakshi
Kaushik, Manish Singh
Srivastava, Amrita
Singh, Anumeha
Verma, Ekta
Mishra, Arun Kumar
author_facet Srivastava, Meenakshi
Kaushik, Manish Singh
Srivastava, Amrita
Singh, Anumeha
Verma, Ekta
Mishra, Arun Kumar
author_sort Srivastava, Meenakshi
collection PubMed
description To decipher an evolutionary lineage between two different but important bacterial groups, i.e., Pseudomonas strain (γ-Proteobacteria) and Frankia strain (actinobacteria) growing in the same ecological niche in and around of an actinorhizal plant Hippophae salicifolia D. Don, genetic diversity and comparative molecular phylogeny have been investigated using 16S rRNA gene sequences and computer-simulated and virtually directed restriction fragment length polymorphism (RFLP) through 10 restriction enzymes. Bayesian and coalescent analyses on the basis of 16S rRNA gene sequences suggested three major groups with close proximity between Pseudomonas and Frankia isolates. This result has been further validated based on the data observed through similarity coefficient value and computational RFLP. Principal component analysis and Mandel h and k statistical analysis also confirmed and strengthen the findings. Approximately 458 aligned sequence of all the taxa were used to decipher nucleotide diversity, polymorphism and gene flow between these taxa. Thus, our results suggest for a possible co-evolution or a heterologous gene transfer of distantly related microbial forms. Further, our study also advocate for the use of computer aided, virtual RFLP analysis as a cost effective and rapid identification tool. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13205-016-0488-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-49937162016-08-25 Deciphering the evolutionary affiliations among bacterial strains (Pseudomonas and Frankia sp.) inhabiting same ecological niche using virtual RFLP and simulation-based approaches Srivastava, Meenakshi Kaushik, Manish Singh Srivastava, Amrita Singh, Anumeha Verma, Ekta Mishra, Arun Kumar 3 Biotech Original Article To decipher an evolutionary lineage between two different but important bacterial groups, i.e., Pseudomonas strain (γ-Proteobacteria) and Frankia strain (actinobacteria) growing in the same ecological niche in and around of an actinorhizal plant Hippophae salicifolia D. Don, genetic diversity and comparative molecular phylogeny have been investigated using 16S rRNA gene sequences and computer-simulated and virtually directed restriction fragment length polymorphism (RFLP) through 10 restriction enzymes. Bayesian and coalescent analyses on the basis of 16S rRNA gene sequences suggested three major groups with close proximity between Pseudomonas and Frankia isolates. This result has been further validated based on the data observed through similarity coefficient value and computational RFLP. Principal component analysis and Mandel h and k statistical analysis also confirmed and strengthen the findings. Approximately 458 aligned sequence of all the taxa were used to decipher nucleotide diversity, polymorphism and gene flow between these taxa. Thus, our results suggest for a possible co-evolution or a heterologous gene transfer of distantly related microbial forms. Further, our study also advocate for the use of computer aided, virtual RFLP analysis as a cost effective and rapid identification tool. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13205-016-0488-5) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2016-08-23 2016-12 /pmc/articles/PMC4993716/ /pubmed/28330250 http://dx.doi.org/10.1007/s13205-016-0488-5 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Srivastava, Meenakshi
Kaushik, Manish Singh
Srivastava, Amrita
Singh, Anumeha
Verma, Ekta
Mishra, Arun Kumar
Deciphering the evolutionary affiliations among bacterial strains (Pseudomonas and Frankia sp.) inhabiting same ecological niche using virtual RFLP and simulation-based approaches
title Deciphering the evolutionary affiliations among bacterial strains (Pseudomonas and Frankia sp.) inhabiting same ecological niche using virtual RFLP and simulation-based approaches
title_full Deciphering the evolutionary affiliations among bacterial strains (Pseudomonas and Frankia sp.) inhabiting same ecological niche using virtual RFLP and simulation-based approaches
title_fullStr Deciphering the evolutionary affiliations among bacterial strains (Pseudomonas and Frankia sp.) inhabiting same ecological niche using virtual RFLP and simulation-based approaches
title_full_unstemmed Deciphering the evolutionary affiliations among bacterial strains (Pseudomonas and Frankia sp.) inhabiting same ecological niche using virtual RFLP and simulation-based approaches
title_short Deciphering the evolutionary affiliations among bacterial strains (Pseudomonas and Frankia sp.) inhabiting same ecological niche using virtual RFLP and simulation-based approaches
title_sort deciphering the evolutionary affiliations among bacterial strains (pseudomonas and frankia sp.) inhabiting same ecological niche using virtual rflp and simulation-based approaches
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993716/
https://www.ncbi.nlm.nih.gov/pubmed/28330250
http://dx.doi.org/10.1007/s13205-016-0488-5
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