Extract from endophytic isolates stimulates seed germination of the host and protocorm development of non-host orchids.

We isolated endophytic strains from the healthy roots, stems, and leaves of to investigate their plant growth-promoting activities in vitro. Subsequently, Indole acetic acid (IAA) was quantified and the gene (responsible for IAA synthesis in fungi) was amplified and sequenced. Finally, a germination assay was performed with seeds of and a plant growth assay with protocorms of to test their plant growth-promoting activities.

Advancements in prokaryotic systematics and the role of Bergey's International Society for Microbial Systematicsin addressing challenges in the meta-data era.

Prokaryotes are ubiquitous in the biosphere, important for human health and drive diverse biological and environmental processes. Systematics of prokaryotes, whose origins can be traced to the discovery of microorganisms in the 17th century, has transitioned from a phenotype-based classification to a more comprehensive polyphasic taxonomy and eventually to the current genome-based taxonomic approach. This transition aligns with a foundational shift from studies focused on phenotypic traits that have limited comparative value to those using genome sequences.

1, 4, 5, 6-Tetrahydro-2-methyl-4-pyrimidinecarboxylic acid (THMP) - A novel universal stress protein data from Halomonas species for pharmaceutical applications.

Genomes of Halomonas species have been studied using the BV-BRC Bioinformatics tool for the presence of CDS, non-CDS, AMR genes, VF genes, transporters, drug targets, GC content, and GC skew from outside to the center of the circular view, followed by phylogenetic analysis of unique 1, 4, 5, 6-Tetrahydro-2-methyl-4-pyrimidinecarboxylic acid (THMP) gene clusters for relatedness within the genus Halomonas. Protein structure and chemical structure of 1, 4, 5, 6-Tetrahydro-2-methyl-4-pyrimidinecarboxylic acid (THMP) encoded by the UspA gene in Halomonas strains and amino acid sequence of the novel UspA gene have been predicted by computational method.

A culture-independent approach, supervised machine learning, and the characterization of the microbial community composition of coastal areas across the Bay of Bengal and the Arabian Sea.

Background: Coastal areas are subject to various anthropogenic and natural influences. In this study, we investigated and compared the characteristics of two coastal regions, Andhra Pradesh (AP) and Goa (GA), focusing on pollution, anthropogenic activities, and recreational impacts. We explored three main factors influencing the differences between these coastlines: The Bay of Bengal's shallower depth and lower salinity; upwelling phenomena due to the thermocline in the Arabian Sea; and high tides that can cause strong currents that transport pollutants and debris.

Community characterization of soil from the Central Deccan Plateau dry tropical deciduous forest (Ceddtrof) in central India using 16S rRNA gene amplicon sequencing.

We report a preliminary study of soil from the Central Deccan Plateau dry tropical deciduous forest in India using 16S rRNA gene amplicon sequencing. We report diverse taxa, e.g.

Identification and specificity validation of unique and antimicrobial resistance genes to trace suspected pathogenic AMR bacteria and to monitor the development of AMR in non-AMR strains in the environment and clinical settings.

The detection of developing antimicrobial resistance (AMR) has become a global issue. The detection of developing antimicrobial resistance has become a global issue. The growing number of AMR bacteria poses a new threat to public health.

Investigation of tRNA-based relatedness within the Planctomycetes-Verrucomicrobia-Chlamydiae (PVC) superphylum: a comparative analysis.

The PVC superphylum is a diverse group of prokaryotes that require stringent growth conditions. RNA is a fascinating molecule to find evolutionary relatedness according to the RNA World Hypothesis. We conducted tRNA gene analysis to find evolutionary relationships in the PVC phyla.

Proposal to transfer Bacillus massiliigorillae to the genus Peribacillus as Peribacillus massiliigorillae comb. nov., and Bacillus sinesaloumensis to the genus Ferdinandcohnia as Ferdinandcohnia sinesaloumensis comb. nov.

The present study was carried out to clarify the taxonomic position of Bacillus massiliigorillae and Bacillus sinesaloumensis. The 16S rRNA gene sequences extracted from the Bacillus sinesaloumensis Marseille-P3516 (FTOX00000000) and Bacillus massiliigorillae G2 (CAVL000000000) genomes showed 98.5 and 99.

Extremophiles: the species that evolve and survive under hostile conditions.

Extremophiles possess unique cellular and molecular mechanisms to assist, tolerate, and sustain their lives in extreme habitats. These habitats are dominated by one or more extreme physical or chemical parameters that shape existing microbial communities and their cellular and genomic features. The diversity of extremophiles reflects a long list of adaptations over millions of years.

The diversity of unique 1,4,5,6-Tetrahydro-2-methyl-4-pyrimidinecarboxylic acid coding common genes and Universal stress protein in Ectoine TRAP cluster (UspA) in 32 Halomonas species.

Objectives: To decipher the diversity of unique ectoine-coding housekeeping genes in the genus Halomonas.

Results: In Halomonas, 1,4,5,6-Tetrahydro-2-methyl-4-pyrimidinecarboxylic acid has a crucial role as a stress-tolerant chaperone, a compatible solute, a cell membrane stabilizer, and a reduction in cell damage under stressful conditions. Apart from the current 16S rRNA biomarker, it serves as a blueprint for identifying Halomonas species.

Correcting names of bacteria deposited in National Microbial Repositories: an analysed sequence data necessary for taxonomic re-categorization of misclassified bacteria-ONE example, genus .

A report on 16S rRNA gene sequence re-analysis and digitalization is presented using species (one example) deposited in National Microbial Repositories in India. species 16S rRNA gene sequences were digitalized to provide quick response (QR) codes, Chaose Game Representation (CGR) and Frequency of Chaose Game Representation (FCGR). GC percentage, phylogenetic analysis, and principal component analysis (PCA) are tools used for the differentiation and reclassification of the strains under investigation.

Morphotypes and pigment profiles of halophilic bacteria: Practical data useful for novelty, taxonomic categorization and for describing novel species or new taxa.

Halophilic bacteria were isolated from oil spill samples collected from West-coast of Goa. Bacteria were isolated from oil studded soil, salt marsh and offshore samples (A, A7, CSM, CB and CM) collected along the West coastline in Goa (India) i.e.

Data on graphical representation (CGR and FCGR) of bacterial and archaeal species from two Soda Lakes.

In this paper, we presented the datasets generated using Chose Game representation (CGR) and Choase Game Representation of Frequencies (FCGR) of bacterial and archaeal 16S rRNA sequences. The data in the form of graphical representations was yielded with the help of ENDMEMO tool. The computational representation of these data datasets is useful for studies and interpretation of microbial sequences.

Genomic Analysis of a Marine Bacterium: Bioinformatics for Comparison, Evaluation, and Interpretation of DNA Sequences.

A total of five highly related strains of an unidentified marine bacterium were analyzed through their short genome sequences (AM260709-AM260713). Genome-to-Genome Distance (GGDC) showed high similarity to (X67024). The generated unique Quick Response (QR) codes indicated no identity to other microbial species or gene sequences.

Is the increase in oil pollution a possibility of the presence of diverse microorganisms? An experimental dataset on oil prevalent areas of Goa, India.

Survey data and wet lab reports presented in this paper were collected from Western coastlines of India from Goan beaches. Oil polluted areas were captured on camera as evidence for oil and tar pollution. Several microorganisms showing diverse characteristics such as pigment producers, salt tolerant and hydrocarbon resistance were isolated and cultured in the laboratory.

Genomics dataset of unidentified disclosed isolates.

Analysis of DNA sequences is necessary for higher hierarchical classification of the organisms. It gives clues about the characteristics of organisms and their taxonomic position. This dataset is chosen to find complexities in the unidentified DNA in the disclosed patents.

Determination of GC content of Thermotoga maritima, Thermotoga neapolitana and Thermotoga thermarum strains: A GC dataset for higher level hierarchical classification.

A total of 16 strains of hyperthermophilic Thermotoga complete genome sequences viz. Thermotoga maritima (AE000512, CP004077, CP007013, CP011107, NC_000853, NC_021214, NC_023151, NZ_CP011107, CP011108, NZ_CP011108, CP010967 & NZ_CP010967), Thermotoga neapolitana (CP000916, & NC_011978) and Thermotoga thermarum (CP002351 & NC_015707) complete genome sequences were retrieved from NCBI BioSample database. ENDMEMO GC used for creation of data on GC content in Thermotoga sp.

Data on true tRNA diversity among uncultured and bacterial strains.

Complete genome sequences of two uncultured archaea (BX649197 and CR937008) and 10 uncultured bacteria (AC160099, FP245538-FP245540, FP312972, FP312974-75, FP312977, FP312985 and NZ_JPJG01000067) were used for creation of digital data of tRNA. tRNAscan-SE and ENDMEMO GC calculating tools were used for detection of tRNA, drawing their structures and calculation of GC percent. Seven archaeal and 48 bacterial tRNA were detected from above 12 sequences.

Digital data of quality control strains under general deposit at Microbial Culture Collection (MCC), NCCS, Pune, India: A bioinformatics approach.

A total of 13 short DNA sequences of quality control strains (MCC 2052, MCC 2077, MCC 2078, MCC 2080, MCC 2309, MCC 2322, MCC 2408, MCC 2409, MCC 2412, MCC 2413, MCC 2415, MCC 2483 and MCC 2515) were retrieved from NCBI BioSample database and generated quick response (QR) codes for sequences. 16S rRNA was used for creation of Chaose Game representation (CGR), Chaose Game Representation of Frequencies (FCGR) and measurement of GC percentage. Digital data in the form of QR codes, CGR, FCGR and GC plot would be useful for identification, visual comparison and evaluation of newly isolated strains with quality control strains.

Bioinformatics data supporting revelatory diversity of cultivable thermophiles isolated and identified from two terrestrial hot springs, Unkeshwar, India.

A total of 21 thermophilic bacteria were isolated and identified using 16S rRNA gene sequencing method. Sequences were submitted to NCBI website. Short DNA sequences JN392966-JN392972; KC120909-KC120919; KM998072-KM998074 and KP053645 strains were downloaded from NCBI BioSample database.

Digital data for quick response (QR) codes of alkalophilic Bacillus pumilus to identify and to compare bacilli isolated from Lonar Crator Lake, India.

Microbiologists are routinely engaged isolation, identification and comparison of isolated bacteria for their novelty. 16S rRNA sequences of Bacillus pumilus were retrieved from NCBI repository and generated QR codes for sequences (FASTA format and full Gene Bank information). 16SrRNA were used to generate quick response (QR) codes of Bacillus pumilus isolated from Lonar Crator Lake (19° 58' N; 76° 31' E), India.

Digital data for Quick Response (QR) codes of thermophiles to identify and compare the bacterial species isolated from Unkeshwar hot springs (India).

16S rRNA sequences of morphologically and biochemically identified 21 thermophilic bacteria isolated from Unkeshwar hot springs (19°85'N and 78°25'E), Dist. Nanded (India) has been deposited in NCBI repository. The 16S rRNA gene sequences were used to generate QR codes for sequences (FASTA format and full Gene Bank information).