Datasets for paper "Global biochemical profiling of fast-growing Antarctic bacteria isolated from meltwater ponds by high-throughput FTIR spectroscopy" ...

Fourier transform infrared (FTIR) spectroscopy is a biophysical technique used for non-destructive biochemical profiling of biological samples. It can provide comprehensive information about the total cellular biochemical profile of microbial cells. In this study, FTIR spectroscopy was used to perfo...

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Main Author: Akulava, Volha
Format: Dataset
Language:English
Published: Zenodo 2024
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.11080447
https://zenodo.org/doi/10.5281/zenodo.11080447
id ftdatacite:10.5281/zenodo.11080447
record_format openpolar
spelling ftdatacite:10.5281/zenodo.11080447 2024-09-09T19:09:53+00:00 Datasets for paper "Global biochemical profiling of fast-growing Antarctic bacteria isolated from meltwater ponds by high-throughput FTIR spectroscopy" ... Akulava, Volha 2024 https://dx.doi.org/10.5281/zenodo.11080447 https://zenodo.org/doi/10.5281/zenodo.11080447 en eng Zenodo https://dx.doi.org/10.5281/zenodo.11080446 dataset Dataset 2024 ftdatacite https://doi.org/10.5281/zenodo.1108044710.5281/zenodo.11080446 2024-06-17T09:22:51Z Fourier transform infrared (FTIR) spectroscopy is a biophysical technique used for non-destructive biochemical profiling of biological samples. It can provide comprehensive information about the total cellular biochemical profile of microbial cells. In this study, FTIR spectroscopy was used to perform biochemical characterization of twenty-nine bacterial strains isolated from the Antarctic meltwater ponds. The bacteria were grown on two forms of brain heart infusion (BHI) medium: agar at six different temperatures (4, 10, 18, 25, 30, and 37 °C) and on broth at 18 °C. Multivariate data analysis approaches such as principal component analysis (PCA) and correlation analysis were used to study the difference in biochemical profiles induced by the cultivation conditions. The observed results indicated a strong correlation between FTIR spectra and the phylogenetic relationships among the studied bacteria. The most accurate taxonomy-aligned clustering was achieved with bacteria cultivated on agar. Cultivation on ... : This research was supported by the project “Belanoda – Multidisciplinary graduate and post-graduate education in big data analysis for life sciences” (CPEA-LT-2016/10126), funded by the Eurasia program, Norwegian Agency for International Cooperation and Quality Enhancement in Higher Education (Diku), and the Belanoda Digital learning platform for boosting multidisciplinary education in data analysis for life sciences in the Eurasia region (CPEA-STA-2019/10025). Additional support was covered by BYPROVALUE (NFR-MATFONDAVTALE- 301834/E50), SAFE (NFR-BIONÆR 327114), SFI-IB (NFR-SFI 309558) and OIL4FEED (NFR-HAVBRUK2, 302543/E40) projects. ... Dataset Antarc* Antarctic DataCite Antarctic The Antarctic
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
description Fourier transform infrared (FTIR) spectroscopy is a biophysical technique used for non-destructive biochemical profiling of biological samples. It can provide comprehensive information about the total cellular biochemical profile of microbial cells. In this study, FTIR spectroscopy was used to perform biochemical characterization of twenty-nine bacterial strains isolated from the Antarctic meltwater ponds. The bacteria were grown on two forms of brain heart infusion (BHI) medium: agar at six different temperatures (4, 10, 18, 25, 30, and 37 °C) and on broth at 18 °C. Multivariate data analysis approaches such as principal component analysis (PCA) and correlation analysis were used to study the difference in biochemical profiles induced by the cultivation conditions. The observed results indicated a strong correlation between FTIR spectra and the phylogenetic relationships among the studied bacteria. The most accurate taxonomy-aligned clustering was achieved with bacteria cultivated on agar. Cultivation on ... : This research was supported by the project “Belanoda – Multidisciplinary graduate and post-graduate education in big data analysis for life sciences” (CPEA-LT-2016/10126), funded by the Eurasia program, Norwegian Agency for International Cooperation and Quality Enhancement in Higher Education (Diku), and the Belanoda Digital learning platform for boosting multidisciplinary education in data analysis for life sciences in the Eurasia region (CPEA-STA-2019/10025). Additional support was covered by BYPROVALUE (NFR-MATFONDAVTALE- 301834/E50), SAFE (NFR-BIONÆR 327114), SFI-IB (NFR-SFI 309558) and OIL4FEED (NFR-HAVBRUK2, 302543/E40) projects. ...
format Dataset
author Akulava, Volha
spellingShingle Akulava, Volha
Datasets for paper "Global biochemical profiling of fast-growing Antarctic bacteria isolated from meltwater ponds by high-throughput FTIR spectroscopy" ...
author_facet Akulava, Volha
author_sort Akulava, Volha
title Datasets for paper "Global biochemical profiling of fast-growing Antarctic bacteria isolated from meltwater ponds by high-throughput FTIR spectroscopy" ...
title_short Datasets for paper "Global biochemical profiling of fast-growing Antarctic bacteria isolated from meltwater ponds by high-throughput FTIR spectroscopy" ...
title_full Datasets for paper "Global biochemical profiling of fast-growing Antarctic bacteria isolated from meltwater ponds by high-throughput FTIR spectroscopy" ...
title_fullStr Datasets for paper "Global biochemical profiling of fast-growing Antarctic bacteria isolated from meltwater ponds by high-throughput FTIR spectroscopy" ...
title_full_unstemmed Datasets for paper "Global biochemical profiling of fast-growing Antarctic bacteria isolated from meltwater ponds by high-throughput FTIR spectroscopy" ...
title_sort datasets for paper "global biochemical profiling of fast-growing antarctic bacteria isolated from meltwater ponds by high-throughput ftir spectroscopy" ...
publisher Zenodo
publishDate 2024
url https://dx.doi.org/10.5281/zenodo.11080447
https://zenodo.org/doi/10.5281/zenodo.11080447
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_relation https://dx.doi.org/10.5281/zenodo.11080446
op_doi https://doi.org/10.5281/zenodo.1108044710.5281/zenodo.11080446
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