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It provides efficient simulation of multi-culture of microbial species based on genome-scale metabolic network reconstructions for analysis, control and optimization of biochemical processes.
We defined genomes and metagenomes as originating from either lignocellulose-degrading or non-lignocellulose-degrading microbial species based on information provided by IMG/M and in the literature.
Rows with genera, species, and read counts highlighted with asterisk indicate they are not expected to be present in the mock community The inventory of microbial species based on 16S rDNA sequencing is frequently used in biomedical research to determine microbial organisms inhabiting the human body and their relationship with disease.
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Approaches such as this will provide a more natural classification of species based on phylogenetic inferences and lend support to future evolutionarily-informed studies of microbial diversity and physiology.
For example the description of microbial species is mainly based on biochemical and physiological information rather than gross anatomy where as for arthropods, for example, the emphasis is placed on morphology and life history of the organism.
Aiming for more realistic evolutionary simulations in terms of gain and loss dynamics, we simulated phyletic patterns with gain and loss rates that were estimated from a real data set of microbial species' phyletic pattern (based on COG gene families; details in Materials and Methods).
Part B of Figure 3 is generated from the larger dataset, which has 398 microbial species, and genomes distances were calculated based on composite distance from ComPhy.
The composition of the biogas differs based on the particular microbial species used in the digester, as well as the substrate the microbes are feeding on.
Notably, 16S rRNA, commonly used to identify the presence of specific microbial species in a sample, measures ∼1500 bases, which is of similar length to our largest target DNA, T4 (1613 bases).
By contrast, nature employs a radically different strategy based on synergistic combinations of different microbial species that collectively achieve the desired task.
Recent estimates predict that the number of microbial species in the world are well into millions, and based on the rRNA phylogeny, these species fall within approximately 60 major lines of descent within the bacterial and archaeal domains [ 33, 104].
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