This report documents the VetMed dataset, where a Commamox Nitrospira genome bin was extracted. See Daims et al., 2015: Complete Nitrification by Nitrospira Bacteria for further details.
library("mmgenome")
The Rmarkdown file Load_data.Rmd describes the loading of the data and can be imported using the mmimport
function. However, the preprocessed data can also be downloaded directly from figshare: Daims_VetMed. Hence, here we import the prepocessed data from figshare instead.
load("Daims_VetMed.RData")
The object d
contains information on scaffolds and essential genes within the scaffolds. For each scaffold the dataset contains the following information: The columns VM23
and VMPS
contain the coverage information from 4 different samples; PC1
, PC2
and PC3
contain coordinates of the three first principal components from a PCA analysis on tetranucleotide frequencies; essential
contain information taxonomic information for each scaffold based on classification on essential genes; rRNA
contain taxonomic information on scaffolds that have an associated 16S rRNA gene; esomy
and esomx
are esom coordinates for each scaffold.
colnames(d$scaffolds)
## [1] "scaffold" "length" "gc" "VM23" "VMPS"
## [6] "PC1" "PC2" "PC3" "essential" "rRNA16S"
## [11] "esomy" "esomx"
The basic statistics of the full dataset can be summarised using the mmstats
function.
mmstats(d, ncov = 2)
## General Stats
## n.scaffolds 68129.00
## GC.mean 60.60
## N50 3010.00
## Length.total 175731459.00
## Length.max 439284.00
## Length.mean 2579.40
## Coverage.VM23 12.43
## Coverage.VMPS 7.24
## Ess.total 3583.00
## Ess.unique 109.00
Scaffolds with essential genes classified to Nitrospira are extracted for a cleaner visualisation later.
nit <- subset(d$scaffolds, essential == "Nitrospirae")
The assembly is decent even though it is from a full-scale sample with a high degree of micro-diversity.
Here the scaffolds that contains essential genes from Nitrospira are highlighted. Note that there is 1 abundant Nitrospira species and also some micro-diversity (highlighted with red).
As we only have 2 timepoints the analysis is supplemented with ESOM of tetranucleotide frequencies.
As we only have 2 timepoints the analysis is supplemented with ESOM of tetranucleotide frequencies.