Spatial Modelling of Bacterial Diversity over the Selected Regions in Bangladesh by Next-Generation Sequencing: Role of Water Temperature
In this study, a spatial model has been developed to investigate the role of water temperature to the distribution of bacteria over the selected regions in the Bay of Bengal, located in the southern region of Bangladesh using next-generation sequencing. Bacterial concentration, quantitative polymera...
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doaj-4f27b651fda748149ca24f5d4ee775dc2020-11-25T02:35:03ZengMDPI AGApplied Sciences2076-34172020-04-01102537253710.3390/app10072537Spatial Modelling of Bacterial Diversity over the Selected Regions in Bangladesh by Next-Generation Sequencing: Role of Water TemperatureNabila Akter0Md Wahiduzzaman1Alea Yeasmin2Kazi Saiful Islam3Jing-Jia Luo4Institute for Climate and Application Research, Nanjing University of Information Science and Technology, Nanjing 210000, ChinaInstitute for Climate and Application Research, Nanjing University of Information Science and Technology, Nanjing 210000, ChinaSchool of Science, Information and Technology, Federation University, Ballarat 3350, AustraliaDepartment of Biochemistry and Molecular Biology, Jahangirnagar University, Dhaka 1342, BangladeshInstitute for Climate and Application Research, Nanjing University of Information Science and Technology, Nanjing 210000, ChinaIn this study, a spatial model has been developed to investigate the role of water temperature to the distribution of bacteria over the selected regions in the Bay of Bengal, located in the southern region of Bangladesh using next-generation sequencing. Bacterial concentration, quantitative polymerase chain reactions, and sequencing were performed on water samples and identified Acidobacteria, Actinobacteria, Bacteroidetes, Chlorobi, Chloroflexi, Cyanobacteria, Firmicutes, Nitrospirae, Planctomycetes, Proteobacteria, and Verrucomicrobia. The spatial model tessellated the parts of the Bay of Bengal with hexagons and analyzed the relationship between the distribution of bacteria and water temperature. A geographically weighted regression was used to observe whether water temperature contributed strongly or weakly to the distribution of bacteria. The residuals were examined to assess the model’s fitness. The spatial model has the potential to predict the bacterial diversity in the selected regions of Bangladesh.https://www.mdpi.com/2076-3417/10/7/2537spatial modellingbacterial distributionnext generation sequencingwater temperatureBangladesh |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nabila Akter Md Wahiduzzaman Alea Yeasmin Kazi Saiful Islam Jing-Jia Luo |
spellingShingle |
Nabila Akter Md Wahiduzzaman Alea Yeasmin Kazi Saiful Islam Jing-Jia Luo Spatial Modelling of Bacterial Diversity over the Selected Regions in Bangladesh by Next-Generation Sequencing: Role of Water Temperature Applied Sciences spatial modelling bacterial distribution next generation sequencing water temperature Bangladesh |
author_facet |
Nabila Akter Md Wahiduzzaman Alea Yeasmin Kazi Saiful Islam Jing-Jia Luo |
author_sort |
Nabila Akter |
title |
Spatial Modelling of Bacterial Diversity over the Selected Regions in Bangladesh by Next-Generation Sequencing: Role of Water Temperature |
title_short |
Spatial Modelling of Bacterial Diversity over the Selected Regions in Bangladesh by Next-Generation Sequencing: Role of Water Temperature |
title_full |
Spatial Modelling of Bacterial Diversity over the Selected Regions in Bangladesh by Next-Generation Sequencing: Role of Water Temperature |
title_fullStr |
Spatial Modelling of Bacterial Diversity over the Selected Regions in Bangladesh by Next-Generation Sequencing: Role of Water Temperature |
title_full_unstemmed |
Spatial Modelling of Bacterial Diversity over the Selected Regions in Bangladesh by Next-Generation Sequencing: Role of Water Temperature |
title_sort |
spatial modelling of bacterial diversity over the selected regions in bangladesh by next-generation sequencing: role of water temperature |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2020-04-01 |
description |
In this study, a spatial model has been developed to investigate the role of water temperature to the distribution of bacteria over the selected regions in the Bay of Bengal, located in the southern region of Bangladesh using next-generation sequencing. Bacterial concentration, quantitative polymerase chain reactions, and sequencing were performed on water samples and identified Acidobacteria, Actinobacteria, Bacteroidetes, Chlorobi, Chloroflexi, Cyanobacteria, Firmicutes, Nitrospirae, Planctomycetes, Proteobacteria, and Verrucomicrobia. The spatial model tessellated the parts of the Bay of Bengal with hexagons and analyzed the relationship between the distribution of bacteria and water temperature. A geographically weighted regression was used to observe whether water temperature contributed strongly or weakly to the distribution of bacteria. The residuals were examined to assess the model’s fitness. The spatial model has the potential to predict the bacterial diversity in the selected regions of Bangladesh. |
topic |
spatial modelling bacterial distribution next generation sequencing water temperature Bangladesh |
url |
https://www.mdpi.com/2076-3417/10/7/2537 |
work_keys_str_mv |
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_version_ |
1724805575335739392 |