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Diversity of fungi from mangrove sediments of Goa, India, obtained by metagenomic analysis using Illumina sequencing.

ABSTRACT: The fungal composition, abundance and diversity of the mangrove sediments from the Mandovi and Zuari estuaries, Goa, using paired-end Illumina sequencing, hitherto unexplored by a metagenomic approach, indicated that though the types of fungal phyla were similar between the two sediments, the abundance of the species was significantly different between them (p value?

SUBMITTER: Haldar S

PROVIDER: S-EPMC6449407 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Diversity of fungi from mangrove sediments of Goa, India, obtained by metagenomic analysis using Illumina sequencing.

Haldar Shyamalina S Nazareth Sarita W SW

3 Biotech 20190404 5

The fungal composition, abundance and diversity of the mangrove sediments from the Mandovi and Zuari estuaries, Goa, using paired-end Illumina sequencing, hitherto unexplored by a metagenomic approach, indicated that though the types of fungal phyla were similar between the two sediments, the abundance of the species was significantly different between them (<i>p</i> value < 0.005). Basidiomycota and Ascomycota were the two major phyla which were sub-divided into eighteen classes, families, orde ...[more]

PMID: 30997301

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Project description:The present study compared the taxonomic diversity and evaluated the functional attributes of the bacterial species from Mandovi and Zuari mangrove sediments, Goa, using paired-end amplicon sequencing of 16S rDNA and culture-based analyses, respectively. 16S rDNA sequencing revealed Proteobacteria, Firmicutes, and Actinobacteria as the dominant phyla in both the sediments. However, the abundance of these phyla significantly differed between the samples. Bacteroidetes from Mandovi sediment, and Acidobacteria and Gemmatimonadetes from Zuari sediment were the other exclusive major phyla. Chloroflexi, Cyanobacteria, Nitrospirae, Planctomycetes, Verrucomicrobia, and WS3 were the minor phyla observed in both. However, a significant difference in the distribution of minor phyla and lower bacterial taxa under each phylum was noted between the sediments, indicating that the resident microbial flora completely differed between them. This was further validated by high values from distance matrix analyses between the samples. In addition, the pathogenic Vibrio sp. was recorded exclusively in Mandovi sediment, while higher abundance of ecologically important bacterial classes including Gammaproteobacteria, Alphaproteobacteria, Deltaproteobacteria, and Bacilli was observed in Zuari sediment. Taken together, the data indicated that Zuari sediment was taxonomically richer than Mandovi sediment, while a greater incidence of anthropogenic activities occurred in the latter. This observation was further validated by non-parametric richness estimators which were found to be higher for Zuari sediment. The cultured bacterial isolates, all identified as Firmicutes, were tested for activities related to biofertilization and production of enzymes to be used for bioremediation and chemotherapeutic applications. Higher number of bacterial isolates from Mandovi was found to produce indole-acetic-acid, tannase, xylanase, and glutaminase enzymes, and could solubilize phosphate. In contrast, higher proportion of bacterial isolates from Zuari sediment were capable of producing amylase, cellulase, gelatinase, laccase, lipase, protease, and asparaginase enzymes, emphasizing the fact that the Zuari mangrove sediment is a rich reservoir for economically and biotechnologically important bacterial species.

Project description:BackgroundIllumina's sequencing platforms are currently the most utilised sequencing systems worldwide. The technology has rapidly evolved over recent years and provides high throughput at low costs with increasing read-lengths and true paired-end reads. However, data from any sequencing technology contains noise and our understanding of the peculiarities and sequencing errors encountered in Illumina data has lagged behind this rapid development.ResultsWe conducted a systematic investigation of errors and biases in Illumina data based on the largest collection of in vitro metagenomic data sets to date. We evaluated the Genome Analyzer II, HiSeq and MiSeq and tested state-of-the-art low input library preparation methods. Analysing in vitro metagenomic sequencing data allowed us to determine biases directly associated with the actual sequencing process. The position- and nucleotide-specific analysis revealed a substantial bias related to motifs (3mers preceding errors) ending in "GG". On average the top three motifs were linked to 16 % of all substitution errors. Furthermore, a preferential incorporation of ddGTPs was recorded. We hypothesise that all of these biases are related to the engineered polymerase and ddNTPs which are intrinsic to any sequencing-by-synthesis method. We show that quality-score-based error removal strategies can on average remove 69 % of the substitution errors - however, the motif-bias remains.ConclusionSingle-nucleotide polymorphism changes in bacterial genomes can cause significant changes in phenotype, including antibiotic resistance and virulence, detecting them within metagenomes is therefore vital. Current error removal techniques are not designed to target the peculiarities encountered in Illumina sequencing data and other sequencing-by-synthesis methods, causing biases to persist and potentially affect any conclusions drawn from the data. In order to develop effective diagnostic and therapeutic approaches we need to be able to identify systematic sequencing errors and distinguish these errors from true genetic variation.

Dataset Information

Diversity of fungi from mangrove sediments of Goa, India, obtained by metagenomic analysis using Illumina sequencing.

Publications

Diversity of fungi from mangrove sediments of Goa, India, obtained by metagenomic analysis using Illumina sequencing.

Similar Datasets

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