Application of gene sequencing and genomics in biomass conversion

Using advanced low-cost, high-throughput genome sequencing technology can better study the process of biomass conversion in nature. Filamentous fungi (Filamentousfungi) is an important class of biological process microorganisms, which can produce a variety of valuable products, can grow at lower pH and higher product titer, and use six-carbon sugar and five-carbon sugar . The key problem of this process is to increase the production of high-value products, while reducing the loss of biomass and reducing the production of by-products, which can be solved with the help of functional genomics and metabolic models. Genomics can assist and accelerate research, so a large number of research projects on genomics of filamentous fungi are ongoing. Using genomics data, researchers can quickly determine which metabolic pathways and enzymes belong to natural organisms and make assumptions about enzyme activity. However, the use of genomics data does not result in suitable growth conditions and kinetic constants. Therefore, functional genomics, model research, and hypothesis-driven research are all necessary studies.

The Clostridiumbeijerinickii strain can efficiently produce biobutanol. Its genome sequencing has been completed and compared with the genome data of other Clostridia. Using microarray technology to analyze the gene of C.beijerinickii, it was found that it is the closest to the gene of C.acetobutylicum, except that C.beijerinickii has no natural fiber body gene. Post-genome analysis includes transcriptional checks for overall changes in gene expression from acidification to solvation, as well as comparative studies of butanol-producing strains and common strains. The study found that, compared with wild strains, butanol high-yield mutant strains have stronger solvation gene activity and weaker spore formation gene activity, which indicates that spore formation defects are associated with increased solvent production. The results of the substrate study confirmed that although C. beijerinickii preferentially utilizes glucose, it can also utilize a mixture of five-carbon sugar and six-carbon sugar. This kind of microorganism can be used in the hydrolysis steam explosion reaction of cereal fiber in the presence of hot water and ammonia water, and can grow enough and obtain a sufficient amount of solvent products.

The intestinal system of termites is an efficient biological reaction device that degrades lignocellulosic materials. The termite family is divided into two categories: lower termites and higher termites. The difference lies in the lack of protozoan communities in the intestinal system of higher termites. Both types of termites can digest woody materials, but because the symbiotic protozoa in the higher termites cannot play this role, the tail intestines of the higher termites were selected to study bacterial cellulase activity. In this study, Costa Rican nasal termites (Nasutitermessp.) Were selected, and the P3 region of their intestinal system was selected for analysis. Because it is very difficult to cultivate more than 99% of the microbial population, metagenomics research was conducted. Metagenomics researches genome sequencing of the entire population, instead of sequencing genes only for certain strains as in genomics research. The experiment replicated the metagene sequence data of different microbial communities, and found that the dominant one is the spirochete bacteria Spirochetes, but there are also Fibrobacteres, and more than 600 glycosyl hydrolase regions were found. Free hydrogen is a key intermediate product, but hydrogenase may not be catalytic although it shows sensitivity; at the same time, only one formate dehydrogenase has been found in the study.

Face recognition: built-in database, which can perform a real-time comparison of captured faces locally, and generate a log of the comparison results and upload it to the background database

Access control: based on the results of face recognition, control the access switch to achieve personnel management in the controlled area
Body temperature detection: The device has a built-in body temperature monitoring module, which can simultaneously monitor human body temperature and obtain body temperature related data during face recognition.

face recognition temperature

face recognition temperature, infrared temperature instrument, body temperature scanner, infrared temperature instrument, thermal body temperature measuring

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