DOI: 10.18174/476594
|View full text |Cite
|
Sign up to set email alerts
|

Microbial community dynamics in traditionally fermented milk

Abstract: Table of contents Chapter 1 Introduction Chapter 2 Microbial communities from spontaneously fermented foods as model system to study eco-evolutionary dynamics. Chapter 3 Robust sampling and preservation of DNA for microbial community profiling in field experiments. Chapter 4 Microbial population dynamics during traditional production of Mabisi, a spontaneously fermented milk product from Zambia. A field trial. Chapter 5 Does change in bacterial species composition of natural communities reflect adaptation to a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(7 citation statements)
references
References 146 publications
0
7
0
Order By: Relevance
“…The Company LGC Genomics GmbH (Berlin, Germany) conducted 16S rRNA gene analysis of bacterial communities in metagenomic DNA samples using the illumina MiSeq V3. Using an analysis pipeline [ 26 ] based on qiime software [ 27 ], the 25 samples collected from the producers in Mkushi were analyzed. Firstly, the forward and reverse reads were joined in one fastq sequence (join_paired_ends.py, minimum overlap 10 nucleotides).…”
Section: Methodsmentioning
confidence: 99%
“…The Company LGC Genomics GmbH (Berlin, Germany) conducted 16S rRNA gene analysis of bacterial communities in metagenomic DNA samples using the illumina MiSeq V3. Using an analysis pipeline [ 26 ] based on qiime software [ 27 ], the 25 samples collected from the producers in Mkushi were analyzed. Firstly, the forward and reverse reads were joined in one fastq sequence (join_paired_ends.py, minimum overlap 10 nucleotides).…”
Section: Methodsmentioning
confidence: 99%
“…The basic discussion of the DVR method given here follows that of Ref. [31], to which we also refer for more details. To explain the DVR method, we first consider two particles (with equal mass m and reduced mass µ = m/2) in one spatial dimension, setting x = x 1 .…”
Section: One-dimensional Casementioning
confidence: 99%
“…Following the DVR construction laid out in Ref. [31], we consider now pairs (x k , w k ) of grid points x k and associated weights w k such that…”
Section: One-dimensional Casementioning
confidence: 99%
See 2 more Smart Citations