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Three sourdoughs were fermented at 20°C (20-I, 20-II, 20-III) and three sourdoughs fermented at 30°C (30-I, 30-II, 30-III). Sourdoughs were sampled at days 1, 3, 5, 7, 21, 56. The relative abundance at the species level based on partial <t>16S</t> <t>rRNA</t> gene sequences is given. Species forming less than 5% of the population were grouped together and are shown as ‘Others (<5%)’. (a) and (b) stand for two different sequencing runs.
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Three sourdoughs were fermented at 20°C (20-I, 20-II, 20-III) and three sourdoughs fermented at 30°C (30-I, 30-II, 30-III). Sourdoughs were sampled at days 1, 3, 5, 7, 21, 56. The relative abundance at the species level based on partial <t>16S</t> <t>rRNA</t> gene sequences is given. Species forming less than 5% of the population were grouped together and are shown as ‘Others (<5%)’. (a) and (b) stand for two different sequencing runs.
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Three sourdoughs were fermented at 20°C (20-I, 20-II, 20-III) and three sourdoughs fermented at 30°C (30-I, 30-II, 30-III). Sourdoughs were sampled at days 1, 3, 5, 7, 21, 56. The relative abundance at the species level based on partial <t>16S</t> <t>rRNA</t> gene sequences is given. Species forming less than 5% of the population were grouped together and are shown as ‘Others (<5%)’. (a) and (b) stand for two different sequencing runs.
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Image Search Results


Journal: Genomics Data

Article Title: Investigation of bacterial diversity of hot springs of Odisha, India

doi: 10.1016/j.gdata.2015.09.018

Figure Lengend Snippet:

Article Snippet: 16S rRNA deep sequencing analysis, targeting V3 region was performed using Illumina bar coded sequencing.

Techniques: Environmental Sampling, Sequencing

Three sourdoughs were fermented at 20°C (20-I, 20-II, 20-III) and three sourdoughs fermented at 30°C (30-I, 30-II, 30-III). Sourdoughs were sampled at days 1, 3, 5, 7, 21, 56. The relative abundance at the species level based on partial 16S rRNA gene sequences is given. Species forming less than 5% of the population were grouped together and are shown as ‘Others (<5%)’. (a) and (b) stand for two different sequencing runs.

Journal: PLoS ONE

Article Title: Evolution of Bacterial Consortia in Spontaneously Started Rye Sourdoughs during Two Months of Daily Propagation

doi: 10.1371/journal.pone.0095449

Figure Lengend Snippet: Three sourdoughs were fermented at 20°C (20-I, 20-II, 20-III) and three sourdoughs fermented at 30°C (30-I, 30-II, 30-III). Sourdoughs were sampled at days 1, 3, 5, 7, 21, 56. The relative abundance at the species level based on partial 16S rRNA gene sequences is given. Species forming less than 5% of the population were grouped together and are shown as ‘Others (<5%)’. (a) and (b) stand for two different sequencing runs.

Article Snippet: Pyrosequencing of bar-coded 16S rRNA gene amplicons was applied to overcome limitation of DGGE analysis and study in-depth the establishment of microbial consortia in spontaneously started rye sourdoughs.

Techniques: Sequencing

Ratio of species in the sourdoughs fermented at 20°C (20-I, 20-II, 20-III) or 30°C (30-I, 30-II, 30-III) after 56 backslopping cycles determined by plating on MRS and SDB media or by pyrosequencing of 16S rRNA gene amplicons.

Journal: PLoS ONE

Article Title: Evolution of Bacterial Consortia in Spontaneously Started Rye Sourdoughs during Two Months of Daily Propagation

doi: 10.1371/journal.pone.0095449

Figure Lengend Snippet: Ratio of species in the sourdoughs fermented at 20°C (20-I, 20-II, 20-III) or 30°C (30-I, 30-II, 30-III) after 56 backslopping cycles determined by plating on MRS and SDB media or by pyrosequencing of 16S rRNA gene amplicons.

Article Snippet: Pyrosequencing of bar-coded 16S rRNA gene amplicons was applied to overcome limitation of DGGE analysis and study in-depth the establishment of microbial consortia in spontaneously started rye sourdoughs.

Techniques:

Most relevant examples of the application of high‐throughput molecular technologies to microbial water quality assessment.

Journal: Microbial Biotechnology

Article Title: High‐throughput molecular analyses of microbiomes as a tool to monitor the wellbeing of aquatic environments

doi: 10.1111/1751-7915.13763

Figure Lengend Snippet: Most relevant examples of the application of high‐throughput molecular technologies to microbial water quality assessment.

Article Snippet: Responses to extremely polluted environments , Bar‐coded 16S rRNA & metagenomic (GS‐FLX Titanium pyrosequencing) analyses , Solution pH is the major factor explaining microbial community differences in AMD environments. Microbial communities develop a critical strategy of stress adaptation to highly acidic/metal‐rich conditions, by increasing the expression of genes involved in many key functions , Kuang et al . ( , ) .

Techniques: Illumina Sequencing, Bacteria, Shotgun Sequencing, Sequencing, Expressing, Metabolic Labelling