Article: Prokaryotic diversity of tropical coastal sand dunes ecosystem using metagenomics.
2021 Volume 11, Issue 5, Page(s) 252
Abstract: Coastal sand dunes (CSDs), unique, stressed and hostile habitats act as a barrier between marine and terrestrial ecosystems. CSDs are stressed in terms of nutrition and fluctuating physio-chemical conditions. CSD is classified into several types, each of ...
Abstract | Coastal sand dunes (CSDs), unique, stressed and hostile habitats act as a barrier between marine and terrestrial ecosystems. CSDs are stressed in terms of nutrition and fluctuating physio-chemical conditions. CSD is classified into several types, each of which presents different challenges for life forms. This study focuses on exploring bacterial and archaeal diversity and community structure in four CSD namely, Embryo, Fore, Gray, and Mature dunes of Keri beach, Goa along the west coast of India. The study was carried out using Next Generation Sequencing of hypervariable V3-V4 regions of the 16S rRNA gene using Illumina HiSeq platform. The present study hypothesizes that the prokaryotic communities at each dune may be different and could have different role in the ecosystem. The NGS for Embryo, Fore, Gray, and Mature dunes gave 1,045,447, 1,451,753, 1,321,867, and 1,537,758 paired-end reads, respectively, out of which 54,500, 50,032, 37,819, and 111,186 were retained through various quality filtrations. A total of 74, 63, 65, and 65% of OTUs, respectively, remained unknown at the species level. The highest bacterial and archaeal abundance was reported from Mature and Embryo dunes, respectively. Phylum Actinobacteria dominated the Embryo, Fore, and Mature dunes, whereas phylum Proteobacteria was the dominant in the Gray dune. Supplementary information: The online version contains supplementary material available at 10.1007/s13205-021-02809-5. |
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Language | English |
Publishing date | 2021-05-04 |
Publishing country | Germany |
Document type | Journal Article |
ZDB-ID | 2600522-0 |
ISSN | 2190-5738 ; 2190-572X |
ISSN (online) | 2190-5738 |
ISSN | 2190-572X |
DOI | 10.1007/s13205-021-02809-5 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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