Sentence examples for microbial community based from inspiring English sources

Therefore, the prediction of the functional capabilities of a microbial community based on marker gene data would be highly beneficial.

Since the Illumina sequencing of 16S rRNA gene fragments in the metagenome produced no chimera or bias that is associated with the initial PCR step of amplicon sequencing, the taxonomic composition of the microbial community based on this sequencing method is highly reliable.

Differences were less pronounced for belowground organisms, i.e., nematode functional groups, microbial communities (based on phospholipid fatty acid (PLFA) analysis) and earthworm taxa.

Figure 4 Comparison of microbial communities based on 16S rRNA gene sequencing.

The Integrated Microbial Genomes/Metagenomes (IMG/M) system also provides a collection of tools for functional analysis of microbial communities based on their metagenome sequence, based upon reference isolate genomes included from the Integrated Microbial Genomes (IMG) system and the Genomic Encyclopedia of Bacteria and Archaea (GEBA) project.

PCA demonstrated relative clustering of microbial communities based on presence or absence of NEC.

Assessment of antibiotic resistance in environmental microbial communities based solely on cultivable bacteria will therefore easily generate unrepresentative and biased results [20], [23] [23].

For all four airway sites, we confirmed that the trained models were better able to assign microbial communities based on smoking status than by guessing alone (P<2.2E-16 P<2.2E-16rwat sites, FriedmallRairwaym tesitesig. 3).

The genetic diversity of rumen microbial communities based on 16S rDNA sequences has been widely studied, and results have suggested a high diversity of rumen microbes with the majority of them not yet cultured [17].

Given the fact that several methods exist to split microbial communities based on physical properties such as size, density, surface biochemistry, or optical properties, we strongly suggest that groups involved in environmental sequencing, and expecting high diversity, consider splitting their communities in order to maximize the information content of their sequencing effort.

Results: Tax4Fun is a software package that predicts the functional capabilities of microbial communities based on 16S rRNA datasets.