(Below N is a link to NCBI taxonomic web page and E link to ESTHER at designed phylum.) > cellular organisms: NE > Bacteria: NE > Terrabacteria group: NE > Actinobacteria [phylum]: NE > Actinobacteria [class]: NE > Corynebacteriales: NE > Mycobacteriaceae: NE > Mycobacterium: NE > Mycobacterium avium complex (MAC): NE > Mycobacterium avium: NE > Mycobacterium avium subsp. hominissuis: NE > Mycobacterium avium subsp. hominissuis TH135: NE
Duf_1023 : mycht-t2gtw0Mycobacterium avium subsp. hominissuis TH135, Uncharacterized protein
Warning: This entry is a compilation of different species or line or strain with more than 90% amino acide identity. You can retrieve all strain data
(Below N is a link to NCBI taxonomic web page and E link to ESTHER at designed phylum.) Mycobacterium franklinii: N, E.
Mycobacteroides franklinii: N, E.
Mycobacterium gordonae: N, E.
LegendThis sequence has been compared to family alignement (MSA) red => minority aminoacid blue => majority aminoacid color intensity => conservation rate title => sequence position(MSA position)aminoacid rate Catalytic site Catalytic site in the MSA MQILRTPDQCFADLPDYPFQPHYIDVASGDGNTILRVHYVDEGPADAPPV LLLHGEPSWSFLYRKMIPVITSAGLRAVAIDLVGFGRSDKPASRDDYTYQ AHVDWTRAAIEAIGLTDITLVCQDWGGLIGLRLVGEDPDRFARVVAANTF LPTGDRRLGKAFLAWQKYSQETPNFDVGKIVSGGCSTALTHDEIAAYDAP FPDDTYKAGARQFPMLVPTSPDDAAAAANRAAWDALGRYDKPFLCAFSDQ DPITGGADGVLRSLIPGAHAYEPVTITGAGHFLQEDNGRELASAVATFIA ATSR
https://www.researchsquare.com/article/rs-1027271/v1
Next-generation sequencing doubles genomic databases every 2.5 years. The accumulation of sequence data raises the need to speed up functional analysis. Herein, we present a pipeline integrating bioinformatics and microfluidics and its application for high-throughput mining of novel haloalkane dehalogenases. We employed bioinformatics to identify 2,905 putative dehalogenases and selected 45 representative enzymes, of which 24 were produced in soluble form. Droplet-based microfluidics accelerates subsequent experimental testing up to 20,000 reactions per day while achieving 1,000-fold lower protein consumption. This resulted in doubling the dehalogenation 'toolbox' characterized over three decades, yielding biocatalysts surpassing the efficiency of currently available enzymes. Combining microfluidics with modern global data analysis provided precious mechanistic information related to the high catalytic efficiency of new variants. This pipeline applied to other enzyme families can accelerate the identification of biocatalysts for industrial applications as well as the collection of high-quality data for machine learning.
Mycobacterium avium complex (MAC) infection causes disseminated disease in immunocompromised hosts, such as human immunodeficiency virus (HIV)-positive patients, and pulmonary disease in persons without systemic immunosuppression, which has been increasing in many countries. In Japan, the incidence of pulmonary MAC disease caused by M. avium is about 7 times higher than that caused by M. intracellulare. To explore the bacterial factors that affect the pathological state of MAC disease caused by M. avium, we determined the complete genome sequence of the previously unreported M. avium subsp. hominissuis strain TH135 isolated from a HIV-negative patient with pulmonary MAC disease and compared it with the known genomic sequence of M. avium strain 104 derived from an acquired immunodeficiency syndrome patient with MAC disease. The genome of strain TH135 consists of a 4,951,217-bp circular chromosome with 4,636 coding sequences. Comparative analysis revealed that 4,012 genes are shared between the two strains, and strains TH135 and 104 have 624 and 1,108 unique genes, respectively. Many strain-specific regions including virulence-associated genes were found in genomes of both strains, and except for some regions, the G+C content in the specific regions was low compared with the mean G+C content of the corresponding chromosome. Screening of clinical isolates for genes located in the strain-specific regions revealed that the detection rates of strain TH135-specific genes were relatively high in specimens isolated from pulmonary MAC disease patients, while, those of strain 104-specific genes were relatively high in those from HIV-positive patients. Collectively, M. avium strains that cause pulmonary and disseminated disease possess genetically distinct features, and it suggests that the acquisition of specific genes during strain evolution has played an important role in the pathological manifestations of MAC disease.
