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Let's Explore the Latent Features of Genes to Identify Bacteria | OMICS International
ISSN: 1747-0862
Journal of Molecular and Genetic Medicine
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Let's Explore the Latent Features of Genes to Identify Bacteria

Vipin Chandra Kalia*

Microbial Biotechnology and Genomics, CSIR-Institute of Genomics and Integrative Biology, India

Corresponding Author:
Vipin Chandra Kalia
Microbial Biotechnology and Genomics
CSIR-Institute of Genomics and Integrative Biology
Delhi University Campus, Mall Road, Delhi - 110007, India
Tel: 091- 11- 27666156; 27666157
Fax: 091- 11 - 27667471; 27416489
E-mail: [email protected], [email protected]

Received date: April 13, 2015; Accepted date: April 15, 2015; Published date: April 22, 2015

Citation: Kalia VC (2015) Let's Explore the Latent Features of Genes to Identify Bacteria. J Mol Genet Med 9:e105. doi:10.4172/1747-0862.1000E105

Copyright: © 2015 Kalia VC. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Editorial

Bacterial world is immensely great and interesting. In spite of the fact that microbes existed much before their presence was demonstrated. It was because of the vision and abilities of the great men like Prof. Robert Hooke and Prof. Antonie van Leeuwenhoek, that we have learnt all we know today about microbial world. Their discoveries laid the basis for the Microbiology of today. The diversity of their features has been the focus of research of microbiologists. The orbit of the magnitude of the diversity of their metabolic, phenotypic, genomic characteristics allows them to survive in a wide diversity of climatic conditions. In view of their diverse biotechnological applications in virtually all spheres of human activities, the curiosity has driven us to attend to their genuine individuality. Beginning with morphological features as the basis of separating them from one another, there has been a shift to look deeper into their biochemical and genetic characteristics. The advent of molecular biology techniques has completely overturned the concept of bacterial taxonomy and their evolutionary story. In the innovative era of Molecular biology and Bioinformatics, the vision of Prof. Carl R. Woese, took the tenets of evolutionary biology and taxonomy to a new peak. The Microbiologists of today have taken advantage of the molecular techniques developed over a few decades towards the end of the previous century and have entered into the era of genomics and metagenomics.

The troubled waters of the microbial world

Almost all bacterial genera are composed of members which vary from each other at least in a few characteristics. On the evolutionary scale, it is relatively easy to distinguish organisms which are distantly placed. However, there is too much of heterogeneity in terms of their phenotype and genotypes that it becomes difficult to categorize them unambiguously. In this write up we will take up only a few cases, to illustrate the latent features of rrs and other metabolic genes, which can be easily exploited for identifying even closely related organisms within a genus: (i) Bacillus, (ii) Clostridium, and (iii) Pseudomonas.

Bacillus is one of those few organisms, whose applications can be seen in almost all spheres of life: biofuels, crop protection, biopharmaceuticals - peptide antibiotics. In the same flow it may be relevant to state that Bacillus as contaminants in industrial processes, food poisoning, and probiotics are the most troublesome. Here, it becomes imperative to identify them with utmost precision. B. subtilis group members, intraspecies diversity of B. licheniformis, B. cereus group members, B. sphaericus are, to cite a few cases, which have been the major trouble spots in the genus Bacillus. Whole genome sequencing of B. halodurans has revealed them to possess genes coding for the enzymes transposases and recombinases, showing high similarity to those present in Anabeana, Rhodobacter, Lactococcus, Enterococcus, Clostridium, Staphylococcus and Yersinia species. Comparative genome analysis of B. halodurans and B. subtilis provided evidences (genome size, genomic DNA G+C content and the physiological properties - ATPases, ABC transporter genes, etc. of their being very close to each other, in terms of. The need to reclassify certain organisms previously belonging to Bacillus has resulted in shifting them to new genera: Aneurinibacillus, Brevibacillus, Paenibacillus, Ureibacillus and Virgibacillus: (i) B. thermoleovorans, B. sterothermophilus, B. thermoglucosidasius, and B. kaustophilus, as Geobacillus, (ii) B. psychrophilus, B. pasteurii and B. globisporus, as Sporosarcina, (iii) whereas B. marinus as Marinibacillus marinus [1].

Clostridium is another, widely studied bacteria, whose biotechnological applications range from solvents, enzymes, biofuels to deadly toxin producing pathogens. Clostridium species are phenotypically and phylogenetically heterogeneous group comprising of spore and non-spore formers, gram-negative and gram-positive, toxin and non-toxin producers. It thus becomes quite tedious to identify them. The whole process of identification is complicated also by the fact that the GC content varies from as low as 24 mol% in Clostridium perfrigens to as high as 58 mol% in the case of Clostridium barkeri. In comparison to a narrow GC content in most bacterial genomes, this range is quite wide to justify the presence of such organisms in a single genus. Another characteristic which pose a big problem is the presence of multiple copies of rrs gene, leading to over estimation of species [2].

Pseudomonas is one of those genus, which has been well studied. It has also been realized that it comprises of genetically and metabolic diverse organisms, which can be used for degrading a wide range of organic substrates. Initially, a large number of organisms were categorized as Pseudomonas, so much so that the genus was labeled as 'dumping ground'. It is thus no surprise that many of the organisms have undergone taxonomic revisions. Segregation of Pseudomonas has been based on the phylogenetic relationship of 4 housekeeping genes: rrs, gyrB, rpoB and rpoD. It enabled formation of relatively distinct groups: (i) cluster I members were the following species of Pseudomonas: P. aeruginosa along with P. flavescens, P. mendocina, P. resinovorans, and (ii) cluster II had the following organisms: P. fluorescens along with P. chlororaphis, P. syringae and P. putida. Another analysis based on the three genes except rpoB lead to a different scenario, where P. aeruginosa and P. stutzeri were together which was distinguishable from the group of P. syringae, P. fluorescens and P. putida. It thus urged researchers to look in to the relationships of organisms clubbed under Pseudomonas [3].

The modern taxonomic classification of microbes is based largely on the gene, which is conserved throughout the prokayotic domain: the 16S rRNA (rrs). The microbial taxonomy was given a new look and the nucleotide sequence of this gene has been so widely adapted that it has become a reference point for almost all practical purposes. The Ribosomal Database Project (RDP) (https://rdp.cme.msu.edu/), which was developed as a small depository of a few hundred rrs sequences around two decades ago has more than 3.0 million entries (RDP Release 11, Update 3::September 17, 2014:: has 3,019,928 16S rRNAs:: 102,901 Fungal 28S rRNAs entries). The rapidly increasing magnitude of this database, based on the contributions made by researchers world-wide, is a clear reflection on the influence of the findings of Prof. Carl R. Woese. At times, the rrs gene sequence is not able to differentiate very closely related taxa. In such a scenario, one needs to resort to gene sequences which code for features such as heat shock proteins, ATPase-β-subunit, RNA polymerases or recombinase, etc. In certain cases, additional genes have been identified, which can be used exclusively for distinguishing members within a genus: (i) rpoB for Mycobacterium; (ii) gyrB for Acinetobacter, Mycobacterium, Pseudomonas, and Shewanella, (iii) gyrA gene for Bacillus subtilis, etc. A few methods generally used for identifying bacterials strains are: Amplified fragment length polymorphism (AFLP), DNA-DNA re association, Microarray, PCR-ribotyping, multi-locus sequence analysis, multi locus sequence typing, randomly amplified polymorphic DNA, and Restriction enzyme digestion (RE).

The latent features of 16S rDNA

The RDP data base used as reference to identify the newly sequenced 16S rDNA is limited by the fact that it can be used identify only to the extent to what has been known and is available. In order to identify the gene sequence which is yet to be seen by the database, it is difficult to visualize how to generate the evolutionary map and place the unknown. Efforts to resolve the potential problems existing among the different species of Bacillus, Clostridium and Pseudomonas revealed the presence of certain latent features in their 16S rDNA gene. The first step involved the generation of molecular makers was to develop a Phylogenetic Framework, which was composed of sequences, which delineated one species from another i.e. those sequences which could be used to demarcate the phylogenetic limits of all the known sequences within a species. The second step was to identify motifs (signatures sequences, 30 to 50 nucleotide in length), which were unique to a particular species and completely absent from all other species. The third feature, which validates the true identity of the 16S rDNA was the identification of Restriction Endonuclease (RE) which gives a unique digestion pattern: fragment lengths (nucleotides) and the order of their occurrence. These efforts helped in identification of organisms which were identified initially (by the inventor) only up to genus level. This humble beginning in identifying the latent features of those organisms which have been already well identified will help in future to identify and place them on the phylogenetic tree. In fact, these tools have been used to a small extent in certain studies; however, a complete study has been undertaken successfully by others to identify clinically important members of the genus Streptococcus [4,5].

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