Dataset Information

Amplicon sequencing based profiling of bacterial diversity from Krossfjorden, Arctic.

ABSTRACT: In this study, Illumina Miseq sequencing of 16S rRNA gene amplicon was performed on sediments collected from Krossfjorden, Arctic for analyzing the bacterial community structure. Metagenome contained 15,936 sequences with 5,809,491 bp size and 53% G+C content. Metagenome sequence information are now available at NCBI under the Sequence Read Archive (SRA) database with accession no. SRP159159. Taxonomic hits distribution from MG-RAST analysis revealed the dominance of Alpha- and Gamma-subdivisions of Proteobacteria (88.89%) along with Bacteriodetes (8.89%) and Firmicutes (2.22%). Predominant species were Alteromonadales bacterium TW-7 (24%), Pseudoalteromonas haloplanktis (20%) and Pseudoalteromonas spp. SM9913 (18%). MG-RAST assisted analysis also detected the presence of a variety of marine taxa like Bacteriodes, Pseudovibrio, Marinobacter, Idiomarina, Teredinibacter, etc. which take part in key ecological functions and biogeochemical activities of Arctic fjord ecosystems.

SUBMITTER: Kachiprath B

PROVIDER: S-EPMC6288424 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Amplicon sequencing based profiling of bacterial diversity from Krossfjorden, Arctic.

Kachiprath Bhavya B Puthumana Jayesh J Gopi Jayanath J Solomon Solly S Krishnan K P KP Philip Rosamma R

Data in brief 20181127

In this study, Illumina Miseq sequencing of 16S rRNA gene amplicon was performed on sediments collected from Krossfjorden, Arctic for analyzing the bacterial community structure. Metagenome contained 15,936 sequences with 5,809,491 bp size and 53% G+C content. Metagenome sequence information are now available at NCBI under the Sequence Read Archive (SRA) database with accession no. SRP159159. Taxonomic hits distribution from MG-RAST analysis revealed the dominance of Alpha- and Gamma-subdivision ...[more]

PMID: 30761333

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Project description:Target-gene amplicon sequencing is the most exploited high-throughput sequencing application in microbial ecology. The targets are taxonomically relevant genes, with 16S rRNA being the gold standard for bacteria. As for fungi, the most commonly used target is the internal transcribed spacer (ITS). However, the uneven ITS length among species may promote preferential amplification and sequencing and incorrect estimation of their abundance. Therefore, the use of different targets is desirable. We evaluated the use of three different target amplicons for the characterization of fungal diversity. After an in silico primer evaluation, we compared three amplicons (the ITS1-ITS2 region [ITS1-2], 18S ribosomal small subunit RNA, and the D1/D2 domain of the 26S ribosomal large subunit RNA), using biological samples and a mock community of common fungal species. All three targets allowed for accurate identification of the species present. Nevertheless, high heterogeneity in ITS1-2 length was found, and this caused an overestimation of the abundance of species with a shorter ITS, while both 18S and 26S amplicons allowed for more reliable quantification. We demonstrated that ITS1-2 amplicon sequencing, although widely used, may lead to an incorrect evaluation of fungal communities, and efforts should be made to promote the use of different targets in sequencing-based microbial ecology studies.IMPORTANCE Amplicon-sequencing approaches for fungi may rely on different targets affecting the diversity and abundance of the fungal species. An increasing number of studies will address fungal diversity by high-throughput amplicon sequencing. The description of the communities must be accurate and reliable in order to draw useful insights and to address both ecological and biological questions. By analyzing a mock community and several biological samples, we demonstrate that using different amplicon targets may change the results of fungal microbiota analysis, and we highlight how a careful choice of the target is fundamental for a thorough description of the fungal communities.

Project description:BackgroundMicrobiome composition is frequently studied by the amplification and high-throughput sequencing of specific molecular markers (metabarcoding). Various hypervariable regions of the 16S rRNA gene are classically used to estimate bacterial diversity, but other universal bacterial markers with a finer taxonomic resolution could be employed. We compared specificity and sensitivity between a portion of the rpoB gene and the V3 V4 hypervariable region of the 16S rRNA gene.ResultsWe first designed universal primers for rpoB suitable for use with Illumina sequencing-based technology and constructed a reference rpoB database of 45,000 sequences. The rpoB and V3 V4 markers were amplified and sequenced from (i) a mock community of 19 bacterial strains from both Gram-negative and Gram-positive lineages; (ii) bacterial assemblages associated with entomopathogenic nematodes. In metabarcoding analyses of mock communities with two analytical pipelines (FROGS and DADA2), the estimated diversity captured with the rpoB marker resembled the expected composition of these mock communities more closely than that captured with V3 V4. The rpoB marker had a higher level of taxonomic affiliation, a higher sensitivity (detection of all the species present in the mock communities), and a higher specificity (low rates of spurious OTU detection) than V3 V4. We compared the performance of the rpoB and V3 V4 markers in an animal ecosystem model, the infective juveniles of the entomopathogenic nematode Steinernema glaseri carrying the symbiotic bacteria Xenorhabdus poinarii. Both markers showed the bacterial community associated with this nematode to be of low diversity (< 50 OTUs), but only rpoB reliably detected the symbiotic bacterium X. poinarii.ConclusionsOur results confirm that different microbiota composition data may be obtained with different markers. We found that rpoB was a highly appropriate marker for assessing the taxonomic structure of mock communities and the nematode microbiota. Further studies on other ecosystems should be considered to evaluate the universal usefulness of the rpoB marker. Our data highlight two crucial elements that should be taken into account to ensure more reliable and accurate descriptions of microbial diversity in high-throughput amplicon sequencing analyses: i) the need to include mock communities as controls; ii) the advantages of using a multigenic approach including at least one housekeeping gene (rpoB is a good candidate) and one variable region of the 16S rRNA gene. This study will be useful to the growing scientific community describing bacterial communities by metabarcoding in diverse ecosystems.

Dataset Information

Amplicon sequencing based profiling of bacterial diversity from Krossfjorden, Arctic.

Publications

Amplicon sequencing based profiling of bacterial diversity from Krossfjorden, Arctic.

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