Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Natsue Sakata"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Drug-resistant tuberculosis (TB) is a growing public health problem. There is an urgent need for information regarding cross-resistance and collateral sensitivity relationships among drugs and the genetic determinants of anti-TB drug resista
Externí odkaz:
https://doaj.org/article/e1381d8003334066b3d08f735c1b3eda
Autor:
Tomoya Maeda, Junichiro Iwasawa, Hazuki Kotani, Natsue Sakata, Masako Kawada, Takaaki Horinouchi, Aki Sakai, Kumi Tanabe, Chikara Furusawa
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Understanding evolutionary constraints in antibiotic resistance is crucial for prediction and control. Here, the authors use high-throughput laboratory evolution of Escherichia coli alongside machine learning to identify trade-off relationships assoc
Externí odkaz:
https://doaj.org/article/001bafcb32844840b1bb86e1b61340bb
Publikováno v:
Journal of Fungi, Vol 7, Iss 5, p 350 (2021)
The fission yeast Schizosaccharomyces japonicus, comprising S. japonicus var. japonicus and S. japonicus var. versatilis varieties, has unique characteristics such as striking hyphal growth not seen in other Schizosaccharomyces species; however, info
Externí odkaz:
https://doaj.org/article/833370aafc3647dea9c738c02c2e8151
Publikováno v:
International Journal of Systematic and Evolutionary Microbiology. 73
Two strains were isolated from flowers and insects in Japan, namely NBRC 115686T and NBRC 115687, respectively. Based on sequence analysis of the D1/D2 domain of the 26S large subunit (LSU) rRNA gene and the internal transcribed spacer (ITS) region a
The evolutionary speed of a protein sequence is constrained by its expression level, with highly expressed proteins evolving relatively slowly. This negative correlation between expression levels and evolutionary rates (known as the E–R anticorrela
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::babaed580445eb4296ffd525a00e9020
https://doi.org/10.1101/2022.03.02.482674
https://doi.org/10.1101/2022.03.02.482674
Autor:
Natsue Sakata, Chikara Furusawa, Kumi Tanabe, Tomoya Maeda, Takaaki Horinouchi, Masako Kawada, Junichiro Iwasawa, Aki Sakai, Hazuki Kotani
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Nature Communications
Nature Communications
Understanding the constraints that shape the evolution of antibiotic resistance is critical for predicting and controlling drug resistance. Despite its importance, however, a systematic investigation of evolutionary constraints is lacking. Here, we p
Publikováno v:
Genetics
Most sexually reproducing organisms have the ability to recognize individuals of the same species. In ascomycete fungi including yeasts, mating between cells of opposite mating type depends on the molecular recognition of two peptidyl mating pheromon
Publikováno v:
Journal of Fungi
Volume 7
Issue 5
Journal of Fungi, Vol 7, Iss 350, p 350 (2021)
Volume 7
Issue 5
Journal of Fungi, Vol 7, Iss 350, p 350 (2021)
The fission yeast Schizosaccharomyces japonicus, comprising S. japonicus var. japonicus and S. japonicus var. versatilis varieties, has unique characteristics such as striking hyphal growth not seen in other Schizosaccharomyces species
however,
however,
Publikováno v:
The Journal of Antibiotics. 72:566-573
Antibiotic resistance is considered a global threat to public health. Adaptive resistance mutations and the acquisition of resistance genes by horizontal gene transfer are known to be facilitated by the RecA-dependent SOS response during antibiotic t
Most sexually reproducing organisms have the ability to recognize individuals of the same species. In ascomycetes including yeasts, potential mating between cells of opposite mating-type depends on the molecular recognition of two peptidyl mating phe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dd79a4c2df922e9438e2706e69f6e26
https://doi.org/10.1101/2020.07.22.215566
https://doi.org/10.1101/2020.07.22.215566