Analysis of bacterial communities of King George and Deception Islands, Antarctica using high-throughput sequencing
King George Island (KGI) and Deception Island (DCI) are members of the South Shetland Islands in Antarctica, each with their own landscape and local environmental factors. Both sites are suitable for longterm monitoring of bacterial diversity shift due to warming, as temperature rises relatively fas...
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| Format: | Article |
| Language: | en |
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Indian Academy of Sciences
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/73130/1/KING.pdf http://psasir.upm.edu.my/id/eprint/73130/ https://www.researchgate.net/publication/328857798_Analysis_of_Bacterial_Communities_of_King_George_and_Deception_Islands_Antarctica_using_High-Throughput_Sequencing |
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| author | Chua, C. Y. Yong, Sheau Ting Gonzalez, Marcelo A. Lavin, Paris Cheah, Yoke Kqueen Tan, Annie Geok Yuan Wong, Clemente Michael Vui Ling |
| author_facet | Chua, C. Y. Yong, Sheau Ting Gonzalez, Marcelo A. Lavin, Paris Cheah, Yoke Kqueen Tan, Annie Geok Yuan Wong, Clemente Michael Vui Ling |
| author_sort | Chua, C. Y. |
| building | UPM Library |
| collection | Institutional Repository |
| content_provider | Universiti Putra Malaysia |
| content_source | UPM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | King George Island (KGI) and Deception Island (DCI) are members of the South Shetland Islands in Antarctica, each with their own landscape and local environmental factors. Both sites are suitable for longterm monitoring of bacterial diversity shift due to warming, as temperature rises relatively faster than East Antarctica. This study was conducted to determine and compare the baseline diversity of soil bacteria in KGI and DCI. 16S rDNA amplicons of bacteria from both sites were sequenced using Illumina next
generation sequencer. Results showed that major phyla in KGI and DCI were Actinobacteria, Proteobacteria, Chloroflexi, Verrucomicrobia, Bacteriodetes and Acidobacteria. The distribution and evenness of the soil bacterial communities varied at genus level. The genera Sphingomonas sp. was predominant at
both sites while the subsequent six major genera differed. Two bacterial genera, Legionella and Clostridium were also found in low abundance in both sites, both of which may contain pathogenic members. Further verification will be required to determine
whether the pathogenic members of these genera are present in both sites. |
| format | Article |
| id | my.upm.eprints-73130 |
| institution | Universiti Putra Malaysia |
| language | en |
| publishDate | 2018 |
| publisher | Indian Academy of Sciences |
| record_format | eprints |
| spelling | my.upm.eprints-731302021-05-07T00:16:38Z http://psasir.upm.edu.my/id/eprint/73130/ Analysis of bacterial communities of King George and Deception Islands, Antarctica using high-throughput sequencing Chua, C. Y. Yong, Sheau Ting Gonzalez, Marcelo A. Lavin, Paris Cheah, Yoke Kqueen Tan, Annie Geok Yuan Wong, Clemente Michael Vui Ling King George Island (KGI) and Deception Island (DCI) are members of the South Shetland Islands in Antarctica, each with their own landscape and local environmental factors. Both sites are suitable for longterm monitoring of bacterial diversity shift due to warming, as temperature rises relatively faster than East Antarctica. This study was conducted to determine and compare the baseline diversity of soil bacteria in KGI and DCI. 16S rDNA amplicons of bacteria from both sites were sequenced using Illumina next generation sequencer. Results showed that major phyla in KGI and DCI were Actinobacteria, Proteobacteria, Chloroflexi, Verrucomicrobia, Bacteriodetes and Acidobacteria. The distribution and evenness of the soil bacterial communities varied at genus level. The genera Sphingomonas sp. was predominant at both sites while the subsequent six major genera differed. Two bacterial genera, Legionella and Clostridium were also found in low abundance in both sites, both of which may contain pathogenic members. Further verification will be required to determine whether the pathogenic members of these genera are present in both sites. Indian Academy of Sciences 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/73130/1/KING.pdf Chua, C. Y. and Yong, Sheau Ting and Gonzalez, Marcelo A. and Lavin, Paris and Cheah, Yoke Kqueen and Tan, Annie Geok Yuan and Wong, Clemente Michael Vui Ling (2018) Analysis of bacterial communities of King George and Deception Islands, Antarctica using high-throughput sequencing. Current Science, 115 (9). 1701 - 1705. ISSN 0011-3891 https://www.researchgate.net/publication/328857798_Analysis_of_Bacterial_Communities_of_King_George_and_Deception_Islands_Antarctica_using_High-Throughput_Sequencing 10.18520/cs/v115/i9/1701-1705 |
| spellingShingle | Chua, C. Y. Yong, Sheau Ting Gonzalez, Marcelo A. Lavin, Paris Cheah, Yoke Kqueen Tan, Annie Geok Yuan Wong, Clemente Michael Vui Ling Analysis of bacterial communities of King George and Deception Islands, Antarctica using high-throughput sequencing |
| title | Analysis of bacterial communities of King George and Deception Islands, Antarctica using high-throughput sequencing |
| title_full | Analysis of bacterial communities of King George and Deception Islands, Antarctica using high-throughput sequencing |
| title_fullStr | Analysis of bacterial communities of King George and Deception Islands, Antarctica using high-throughput sequencing |
| title_full_unstemmed | Analysis of bacterial communities of King George and Deception Islands, Antarctica using high-throughput sequencing |
| title_short | Analysis of bacterial communities of King George and Deception Islands, Antarctica using high-throughput sequencing |
| title_sort | analysis of bacterial communities of king george and deception islands, antarctica using high-throughput sequencing |
| url | http://psasir.upm.edu.my/id/eprint/73130/1/KING.pdf http://psasir.upm.edu.my/id/eprint/73130/ https://www.researchgate.net/publication/328857798_Analysis_of_Bacterial_Communities_of_King_George_and_Deception_Islands_Antarctica_using_High-Throughput_Sequencing |
| url_provider | http://psasir.upm.edu.my/ |