Microbial Diversity of Saline Habitats: An Overview of Biotechnological Applications

Author(s):  
Shubhrima Ghosh ◽  
Sumit Kumar ◽  
Sunil Kumar Khare
Diversity ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 390
Author(s):  
Jacquelinne J. Acuña ◽  
Milko A. Jorquera

Plant-associated microbiomes have been suggested as pivotal for the growth and health of natural vegetation and agronomic plants. In this sense, plant-associated microbiomes harbor a huge diversity of microorganisms (such as bacteria and fungi) which can modulate the plant host response against pathogens and changing environmental conditions through a complex network of genetic, biochemical, physical, and metabolomics interactions. Advances on next-generation omic technologies have opened the possibility to unravel this complex microbial diversity and their interactive networks as never described before. In parallel, the develop of novel culture-dependent methods are also crucial to the study of the biology of members of plant-associated microbiomes and their bioprospecting as sources of bioactive compounds, or as tools to improve the productivity of agriculture. This Special Issue aims to motivate and collect recent studies which are focused on exploring the diversity and ecology of plant-associated microbiomes and their genetic and metabolic interactions with other microorganisms or their plant hosts, as well as their potential biotechnological applications in diverse fields, such as inoculants for agriculture.


2021 ◽  
Author(s):  
Hemanoel Passarelli-Araujo ◽  
Gloria Regina Franco ◽  
Thiago Motta Venancio

The growth of sequenced bacterial genomes has revolutionized the assessment of microbial diversity. Pseudomonas is a widely diverse genus, comprising isolates associated with processes from pathogenesis to biotechnological applications. However, this high diversity led to historical taxonomic inconsistencies. Although type strains have been employed to estimate Pseudomonas diversity, they represent a small fraction of the genomic diversity at a genus level. We used 10,035 available Pseudomonas genomes, including 210 type strains, to build a genomic distance network to estimate the number of species through community identification. We identified inconsistencies with several type strains and found that 25.65% of the Pseudomonas genomes deposited on Genbank are misclassified. We retrieved the 13 main Pseudomonas groups and proposed P. alcaligenes as a new group. Finally, this work provides new insights on the phylogenetic boundaries of Pseudomonas and highlights that the Pseudomonas diversity has been hitherto overlooked.


2020 ◽  
Vol 8 (10) ◽  
pp. 1525 ◽  
Author(s):  
Karim Hayoun ◽  
Olivier Pible ◽  
Pauline Petit ◽  
François Allain ◽  
Virginie Jouffret ◽  
...  

The microbial diversity encompassed by the environmental biosphere is largely unexplored, although it represents an extensive source of new knowledge and potentially of novel enzymatic catalysts for biotechnological applications. To determine the taxonomy of microorganisms, proteotyping by tandem mass spectrometry has proved its efficiency. Its latest extension, phylopeptidomics, adds a biomass quantitation perspective for mixtures of microorganisms. Here, we present an application of phylopeptidomics to rapidly and sensitively screen microorganisms sampled from an industrial environment, i.e., a pool where radioactive material is stored. The power of this methodology is demonstrated through the identification of both prokaryotes and eukaryotes, whether as pure isolates or present as mixtures or consortia. In this study, we established accurate taxonomical identification of environmental prokaryotes belonging to the Actinobacteria, Bacteroidetes, Firmicutes, and Proteobacteria phyla, as well as eukaryotes from the Ascomycota phylum. The results presented illustrate the potential of tandem mass spectrometry proteotyping, in particular phylopeptidomics, to screen for and rapidly identify microorganisms.


2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Gajanan T. Mehetre ◽  
Aditi Paranjpe ◽  
Syed G. Dastager ◽  
Mahesh S. Dharne

Microbial diversity in geothermal waters of the Unkeshwar hot springs in Maharashtra, India, was studied using 16S rRNA amplicon metagenomic sequencing. Taxonomic analysis revealed the presence of Bacteroidetes , Proteobacteria , Cyanobacteria , Actinobacteria , Archeae , and OD1 phyla. Metabolic function prediction analysis indicated a battery of biological information systems indicating rich and novel microbial diversity, with potential biotechnological applications in this niche.


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