scholarly journals Branch Migration Activity of Rad54 Protein

Author(s):  
Olga M. Mazina ◽  
Alexander V. Mazin
2008 ◽  
Vol 283 (36) ◽  
pp. 24698-24706 ◽  
Author(s):  
Matthew J. Rossi ◽  
Alexander V. Mazin

2008 ◽  
Vol 283 (29) ◽  
pp. 20231-20242 ◽  
Author(s):  
Dmitry V. Bugreev ◽  
Robert M. Brosh ◽  
Alexander V. Mazin

2009 ◽  
Vol 284 (50) ◽  
pp. 34682-34691 ◽  
Author(s):  
Gregory Sowd ◽  
Hong Wang ◽  
Dalyir Pretto ◽  
Walter J. Chazin ◽  
Patricia L. Opresko

Catalysts ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 34
Author(s):  
Shoji Suzuki ◽  
Norio Kurosawa ◽  
Takeshi Yamagami ◽  
Shunsuke Matsumoto ◽  
Tomoyuki Numata ◽  
...  

Homologous recombination (HR) refers to the process of information exchange between homologous DNA duplexes and is composed of four main steps: end resection, strand invasion and formation of a Holliday junction (HJ), branch migration, and resolution of the HJ. Within each step of HR in Archaea, the helicase-promoting branch migration is not fully understood. Previous biochemical studies identified three candidates for archaeal helicase promoting branch migration in vitro: Hjm/Hel308, PINA, and archaeal long helicase related (aLhr) 2. However, there is no direct evidence of their involvement in HR in vivo. Here, we identified a novel helicase encoded by Saci_0814, isolated from the thermophilic crenarchaeon Sulfolobus acidocaldarius; the helicase dissociated a synthetic HJ. Notably, HR frequency in the Saci_0814-deleted strain was lower than that of the parent strain (5-fold decrease), indicating that Saci_0814 may be involved in HR in vivo. Saci_0814 is classified as an aLhr1 under superfamily 2 helicases; its homologs are conserved among Archaea. Purified protein produced in Escherichia coli showed branch migration activity in vitro. Based on both genetic and biochemical evidence, we suggest that aLhr1 is involved in HR and may function as a branch migration helicase in S. acidocaldarius.


2017 ◽  
Author(s):  
Thomas M. Nero ◽  
Triana N. Dalia ◽  
Joseph Che-Yen Wang ◽  
David T. Kysela ◽  
Matthew L. Bochman ◽  
...  

ABSTRACTAcquisition of foreign DNA by natural transformation is an important mechanism of adaptation and evolution in diverse microbial species. Here, we characterize the mechanism of ComM, a broadly conserved AAA+ protein previously implicated in homologous recombination of transforming DNA (tDNA) in naturally competent Gram-negative bacterial species.In vivo, we found that ComM was required for efficient comigration of linked genetic markers inVibrio choleraeandAcinetobacter baylyi, which is consistent with a role in branch migration. Also, ComM was particularly important for integration of tDNA with increased sequence heterology, suggesting that its activity promotes the acquisition of novel DNA sequences.In vitro, we showed that purified ComM binds ssDNA, oligomerizes into a hexameric ring, and has bidirectional helicase and branch migration activity. Based on these data, we propose a model for tDNA integration during natural transformation. This study provides mechanistic insight into the enigmatic steps involved in tDNA integration and uncovers the function of a protein required for this conserved mechanism of horizontal gene transfer.


2003 ◽  
Vol 8 (9) ◽  
pp. 721-730 ◽  
Author(s):  
Takashi Hishida ◽  
Hiroshi Iwasaki ◽  
Yong-Woon Han ◽  
Takayuki Ohnishi ◽  
Hideo Shinagawa

Author(s):  
Yulia V. Paukova ◽  
◽  
Konstantin V. Popov ◽  

The present article considers the need to predict migration flows using Predictive Analytics. The Russian Federation is a center of migration activity. The modern world is changing rapidly. An effective migration policy requires effective monitoring of migration flows, assessing the current situation in our and other countries and forecasting migration processes. There are information systems in Russia that contain a wide range of information about foreign citizens and stateless persons that provide the requested information about specific foreign citizens, including grouping it on various grounds. However, it is not possible to analyze and predict it automatically using thousands of parameters. Special attention in Russia is paid to digitalization. Using information technologies (artificial intelligence, machine learning and big data analysis) to forecast migration flows in conditions of variability of future events will allow to take into account a number of events and most accurately predict the quantitative and so-called "qualitative" structure of arrivals. The received information will help to develop state policy and to take appropriate measures in the field of migration regulation. The authors come to the conclusion that it is necessary to amend existing legal acts in order to implement information technologies of Predictive Analytics into the practice of migration authorities.


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