A Molecular Review of the Detection of Specific Nucleic Acids by Amplification and Hybridization Characterization of Microbial Diversity in the Food Chain: A Molecular Review

AbstractIn this paper we work with a vastly analyzed tritrophic food chain model. We provide a complete characterization of their Darboux polynomials and of their exponential factors. We also show the non-existence of polynomial first integrals, of rational first integrals, of local analytic first integrals in a neighborhood of the origin, of first integrals that can be described by formal series and of Darboux first integrals.

Download Full-text

Chapter Characterization of Noncovalent Complexes of Nucleic Acids with Peptides and Proteins by Mass Spectrometry

Mass Spectrometry of Nucleosides and Nucleic Acids ◽

10.1201/9781420044034-14 ◽

2009 ◽

pp. 341-382

Keyword(s):

Mass Spectrometry ◽

Nucleic Acids ◽

Noncovalent Complexes

Download Full-text

Microbial diversity characterization of seawater in a pilot study using Oxford Nanopore Technologies long-read sequencing

10.21203/rs.3.rs-17068/v2 ◽

2020 ◽

Author(s):

Michael Liem ◽

Tonny Regensburg-Tuïnk ◽

Christiaan Henkel ◽

Hans Jansen ◽

Herman Spaink

Keyword(s):

Microbial Diversity ◽

Environmental Samples ◽

Sea Water ◽

Flow Cells ◽

Oxford Nanopore ◽

Challenging Tasks ◽

Long Read ◽

Close Relatives ◽

Oxford Nanopore Technologies

Abstract Objective: Currently the majority of non-culturable microbes in sea water are yet to be discovered, Nanopore offers a solution to overcome the challenging tasks to identify the genomes and complex composition of oceanic microbiomes. In this study we evaluate the utility of Oxford Nanopore Technologies (ONT) sequencing to characterize microbial diversity in seawater from multiple locations. We compared the microbial species diversity of retrieved environmental samples from two different locations and time points.Results: With only three ONT flow cells we were able to identify thousands of organisms, including bacteriophages, from which a large part at species level. It was possible to assemble genomes from environmental samples with Flye. In several cases this resulted in >1 Mbp contigs and in the particular case of a Thioglobus singularis species it even produced a near complete genome. k-mer analysis reveals that a large part of the data represents species of which close relatives have not yet been deposited to the database. These results show that our approach is suitable for scalable genomic investigations such as monitoring oceanic biodiversity and provides a new platform for education in biodiversity.

Download Full-text