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  1. Article ; Online: Metagenomic dataset on lichen Dirinaria sp. from the Great Rann of Kutch and tropical moist deciduous Dang forest of Gujarat

    Apurvasinh Puvar / Chandrashekar Mootapally / Chaitanya Joshi / Madhvi Joshi

    Data in Brief, Vol 30, Iss , Pp 105504- (2020)

    2020  

    Abstract: This paper describes the additional data to our research article “Bacterial line of defense in Dirinaria lichen from two different ecosystems: First genomic insights of its mycobiont Diriniria sp. GBRC AP01” by Puvar et al. [1]. In this manuscript we are ...

    Abstract This paper describes the additional data to our research article “Bacterial line of defense in Dirinaria lichen from two different ecosystems: First genomic insights of its mycobiont Diriniria sp. GBRC AP01” by Puvar et al. [1]. In this manuscript we are presenting the data obtained during the annotation of the genome enriched from metagenomic data from the lichen samples.
    Keywords Lichen ; Metagenome ; NGS ; Lichen genomics ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Science (General) ; Q1-390
    Language English
    Publishing date 2020-06-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article: Antibiotic resistance genes allied to the pelagic sediment microbiome in the Gulf of Khambhat and Arabian Sea

    Nathani, Neelam M / Bharti P. Dave / Chandrashekar Mootapally

    Science of the total environment. 2019 Feb. 25, v. 653

    2019  

    Abstract: Antibiotics have been widely spread in the environments, imposing profound stress on the resistome of the residing microbes. Marine microbiomes are well established large reservoirs of novel antibiotics and corresponding resistance genes. The Gulf of ... ...

    Abstract Antibiotics have been widely spread in the environments, imposing profound stress on the resistome of the residing microbes. Marine microbiomes are well established large reservoirs of novel antibiotics and corresponding resistance genes. The Gulf of Khambhat is known for its extreme tides and complex sedimentation process. We performed high throughput sequencing and applied bioinformatics techniques on pelagic sediment microbiome across four coordinates of the Gulf of Khambhat to assess the marine resistome, its corresponding bacterial community and compared with the open Arabian Sea sample. We identified a total of 2354 unique types of resistance genes, with most abundant and diverse gene profile in the area that had anthropogenic activities being carried out on-shore. The genes with >1% abundance in all samples included carA, macB, sav1866, tlrC, srmB, taeA, tetA, oleC and bcrA which belonged to the macrolides, glycopeptides and peptide drug classes. ARG enriched phyla distribution was quite varying between all the sites, with Proteobacteria, Firmicutes, Actinobacteria and Bacteroidetes among the dominant phyla. Based on the outcomes, we also propose potential biomarker candidates Desulfovibrio, Thermotaga and Pelobacter for antibiotic monitoring in the two of the Gulf samples probable contamination prone environments, and genera Nitrosocccus, Marinobacter and Streptomyces in the rest of the three studied samples. Outcomes support the concept that ARGs naturally originate in environments and human activities contribute to the dissemination of antibiotic resistance.
    Keywords anthropogenic activities ; antibiotic resistance ; antibiotic resistance genes ; antibiotics ; bacterial communities ; Bacteroidetes ; bioinformatics ; biomarkers ; Desulfovibrio ; drugs ; Firmicutes ; glycopeptides ; high-throughput nucleotide sequencing ; humans ; macrolides ; Marinobacter ; microbiome ; microorganisms ; monitoring ; Pelobacter ; sediments ; Streptomyces ; tides ; Arabian Sea
    Language English
    Dates of publication 2019-0225
    Size p. 446-454.
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2018.10.409
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: 309 metagenome assembled microbial genomes from deep sediment samples in the Gulfs of Kathiawar Peninsula

    Neelam M. Nathani / Kaushambee J. Dave / Priyanka P. Vatsa / Mayur S. Mahajan / Parth Sharma / Chandrashekar Mootapally

    Scientific Data, Vol 8, Iss 1, Pp 1-

    2021  Volume 8

    Abstract: Measurement(s) marine metagenome • sequence_assembly Technology Type(s) DNA sequencing • sequence assembly process • Binning clustering method Factor Type(s) gulf Sample Characteristic - Environment marine biome • deep marine sediment Sample ... ...

    Abstract Measurement(s) marine metagenome • sequence_assembly Technology Type(s) DNA sequencing • sequence assembly process • Binning clustering method Factor Type(s) gulf Sample Characteristic - Environment marine biome • deep marine sediment Sample Characteristic - Location Gulf of Kutch • Gulf of Khambhat • Arabian Sea Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14445387
    Keywords Science ; Q
    Language English
    Publishing date 2021-07-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Author Correction

    Neelam M. Nathani / Kaushambee J. Dave / Priyanka P. Vatsa / Mayur S. Mahajan / Parth Sharma / Chandrashekar Mootapally

    Scientific Data, Vol 8, Iss 1, Pp 1-

    309 metagenome assembled microbial genomes from deep sediment samples in the Gulfs of Kathiawar Peninsula

    2021  Volume 1

    Keywords Science ; Q
    Language English
    Publishing date 2021-09-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Antibiotic Resistome Biomarkers associated to the Pelagic Sediments of the Gulfs of Kathiawar Peninsula and Arabian Sea

    Chandrashekar Mootapally / Neelam M. Nathani / Paresh Poriya / Imtiyaz Beleem / Jignesh C. Dabhi / Indra R. Gadhvi / Chaitanya G. Joshi

    Scientific Reports, Vol 9, Iss 1, Pp 1-

    2019  Volume 12

    Abstract: Abstract Antibiotic resistance has been one of the most persistent global issue. Specifically, marine microbiomes have served as complex reservoirs of antibiotic resistant genes. Molecular advancements have enabled exploration of the uncultured microbial ...

    Abstract Abstract Antibiotic resistance has been one of the most persistent global issue. Specifically, marine microbiomes have served as complex reservoirs of antibiotic resistant genes. Molecular advancements have enabled exploration of the uncultured microbial portion from hitherto difficult to sample niches such as deeper oceans. The Gulfs of Kathiawar Peninsula have been known for their unique properties like extreme tidal variations, different sediment textures and physicochemical variations. Pelagic sediment cores across four coordinates each of the Gulf of Kutch, Gulf of Khambhat and an open Arabian Sea were collected, processed for metagenomic sequencing and assessed for antibiotic and metal resistome. The dominant genes were mostly resistant to macrolides, glycopeptides and tetracycline drugs. Studied samples divided into three clusters based on their resistome with carA, macB, bcrA, taeA, srmB, tetA, oleC and sav1866 among the abundant genes. Samples from creek of Gulf of Kutch and mouth of Gulf of Khambhat were most diverse in resistance gene profile. Biomarkers observed include gyrA mutation conferring resistance gene in the Arabian Sea; Proteobacteria species in Gulf of Kutch and Arabian sea; while Aquificae, Acidobacteria and Firmicutes species in the Gulf of Khambhat. Region-wise differentially abundant 23 genes and 3 taxonomic biomarkers were proposed for antibiotic resistance monitoring.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2019-11-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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