CLP 9 EN Exam

Proteomics helps predict a gene product based on its RNA sequence.

AI and machine learning are expected to contribute to predictive modelling in ecology.

eDNA metabarcoding comprises taking environmental samples, extracting RNA, amplifying it through PCR with general or universal primers, and sequencing the amplification product through NGS to generate a huge amount of raw sequencing data.

Proteomics comprises a set of technologies that allow the identification and quantitative determination of the proteins expressed in the cell.

The catastrophic 2010 Deepwater Horizon oil spill in the Gulf of Mexico led to the activation of natural microbial communities with oil-degrading capacity. To identify the key bacteria responsible for natural bioremediation, scientists used:

Genomics is a bioscience that analyses the interactions of genes as biological information objects at species, population, and ecosystem levels.

Metatranscriptomics provides key information about actively expressed genes in a microbial community, as well as about microbial functions under the conditions existing at the time of sampling.

Which omics approaches are crucial for characterizing microbiomes in relation to environmental management, monitoring, and bioremediation?

Proteomics is the large-scale study of all proteins that are expressed at a given time by all organisms in an ecosystem.

Traditional ecological studies search for naturally occurring adaptation of bacteria to their environments and environmental proteomics contributes to these studies studying adaptation mechanisms, especially under extreme environmental conditions.