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31.
The function of initiation factors in and the sequence of events during translation initiation have been intensively studied in Bacteria and Eukaryotes, whereas in Archaea knowledge on these functions/processes is limited. By employing chemical probing, we show that translation initiation factor aIF1 of the model crenarchaeon Sulfolobus solfataricus binds to the same area on the ribosome as the bacterial and eukaryal orthologs. Fluorescence energy transfer assays (FRET) showed that aIF1, like its eukaryotic and bacterial orthologs, has a fidelity function in translation initiation complex formation, and that both aIF1 and aIF1A exert a synergistic effect in stimulating ribosomal association of the Met-tRNAiMet binding factor a/eIF2. However, as in Eukaryotes their effect on a/eIF2 binding appears to be indirect. Moreover, FRET was used to analyze for the first time the sequence of events toward translation initiation complex formation in an archaeal model system. These studies suggested that a/eIF2-GTP binds first to the ribosome and then recruits Met-tRNAiMet, which appears to comply with the operational mode of bacterial IF2, and deviates from the shuttle function of the eukaryotic counterpart eIF2. Thus, despite the resemblance of eIF2 and a/eIF2, recruitment of initiator tRNA to the ribosome is mechanistically different in Pro- and Eukaryotes.  相似文献   
32.

Background  

The common vampire bat Desmodus rotundus is an excellent model organism for studying ecological vicariance in the Neotropics due to its broad geographic range and its preference for forested areas as roosting sites. With the objective of testing for Pleistocene ecological vicariance, we sequenced a mitocondrial DNA (mtDNA) marker and two nuclear markers (RAG2 and DRB) to try to understand how Pleistocene glaciations affected the distribution of intraspecific lineages in this bat.  相似文献   
33.
Bacterial translation initiation factor 2 (IF2) is a GTPase that promotes the binding of the initiator fMet‐tRNAfMet to the 30S ribosomal subunit. It is often assumed that IF2 delivers fMet‐tRNAfMet to the ribosome in a ternary complex, IF2·GTP·fMet‐tRNAfMet. By using rapid kinetic techniques, we show here that binding of IF2·GTP to the 30S ribosomal subunit precedes and is independent of fMet‐tRNAfMet binding. The ternary complex formed in solution by IF2·GTP and fMet‐tRNA is unstable and dissociates before IF2·GTP and, subsequently, fMet‐tRNAfMet bind to the 30S subunit. Ribosome‐bound IF2 might accelerate the recruitment of fMet‐tRNAfMet to the 30S initiation complex by providing anchoring interactions or inducing a favourable ribosome conformation. The mechanism of action of IF2 seems to be different from that of tRNA carriers such as EF‐Tu, SelB and eukaryotic initiation factor 2 (eIF2), instead resembling that of eIF5B, the eukaryotic subunit association factor.  相似文献   
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35.
Fabbretti A  Gualerzi CO  Brandi L 《FEBS letters》2011,585(11):1673-1681
Since their introduction in therapy, antibiotics have played an essential role in human society, saving millions of lives, allowing safe surgery, organ transplants, cancer therapy. Antibiotics have also helped to elucidate several biological mechanisms and boosted the birth and growth of pharmaceutical companies, generating profits and royalties. The golden era of antibiotics and the scientific and economical drive of big pharma towards these molecules is long gone, but the need for effective antibiotics is increased as their pipelines dwindle and multi-resistant pathogenic strains spread. Here we outline some strategies that could help meet this emergency and list promising new targets.  相似文献   
36.
Summary A 5.3 kb DNA segment containing the str operon (ca. 4.5 kb) of the cyanobacterium Spirulina platensis has been sequenced. The str operon includes the structural genes rpsL (ribosomal protein S12), rpsG (ribosomal protein S7), fus (translation elngation factor EF-G) and tuf (translation elongation factor EF-Tu). From the nucleotide sequence of this operon, the primary structures of the four gene products have been derived and compared with the available corresponding structures from eubacteria, archaebacteria and chloroplasts. Extensive homologies were found in almost all cases and in the order S12>EF-Tu>EF-G>S7; the largest homologies were generally found between the cyanobacterial proteins and the corresponding chloroplast gene products. Overall codon usage in S. platensis was found to be rather unbiased.  相似文献   
37.
The RsmG methyltransferase is responsible for N7 methylation of G527 of 16S rRNA in bacteria. Here, we report the identification of the Thermus thermophilus rsmG gene, the isolation of rsmG mutants, and the solution of RsmG X-ray crystal structures at up to 1.5 Å resolution. Like their counterparts in other species, T. thermophilus rsmG mutants are weakly resistant to the aminoglycoside antibiotic streptomycin. Growth competition experiments indicate a physiological cost to loss of RsmG activity, consistent with the conservation of the modification site in the decoding region of the ribosome. In contrast to Escherichia coli RsmG, which has been reported to recognize only intact 30S subunits, T. thermophilus RsmG shows no in vitro methylation activity against native 30S subunits, only low activity with 30S subunits at low magnesium concentration, and maximum activity with deproteinized 16S rRNA. Cofactor-bound crystal structures of RsmG reveal a positively charged surface area remote from the active site that binds an adenosine monophosphate molecule. We conclude that an early assembly intermediate is the most likely candidate for the biological substrate of RsmG.  相似文献   
38.
Bacterial translation initiation factor IF2 complexed with GTP binds to the 30S ribosomal subunit, promotes ribosomal binding of fMet‐tRNA, and favors the joining of the small and large ribosomal subunits yielding a 70S initiation complex ready to enter the translation elongation phase. Within the IF2 molecule subdomain G3, which is believed to play an important role in the IF2‐30S interaction, is positioned between the GTP‐binding G2 and the fMet‐tRNA binding C‐terminal subdomains. In this study the solution structure of subdomain G3 of Geobacillus stearothermophilus IF2 has been elucidated. G3 forms a core structure consisting of two β‐sheets with each four anti‐parallel strands, followed by a C‐terminal α‐helix. In line with its role as linker between G3 and subdomain C1, this helix has no well‐defined orientation but is endowed with a dynamic nature. The structure of the G3 core is that of a typical OB‐fold module, similar to that of the corresponding subdomain of Thermus thermophilus IF2, and to that of other known RNA‐binding modules such as IF2‐C2, IF1 and subdomains II of elongation factors EF‐Tu and EF‐G. Structural comparisons have resulted in a model that describes the interaction between IF2‐G3 and the 30S ribosomal subunit.  相似文献   
39.
Severe non-AIDS bacterial infections (SBI) are the leading cause of hospital admissions among people living with HIV (PLHIV) in industrialized countries. We aimed to estimate the incidence of SBI and their risk factors in a large prospective cohort of PLHIV patients over a 13-year period in France. Patients followed up in the ANRS CO3 Aquitaine cohort between 2000 and 2012 were eligible; SBI was defined as a clinical diagnosis associated with hospitalization of ≥48 hours or death. Survival analysis was conducted to identify risk factors for SBI.Total follow-up duration was 39,256 person-years [PY] (31,370 PY on antiretroviral treatment [ART]). The incidence of SBI decreased from 26.7/1000 PY [95% CI: 22.9–30.5] over the period 2000–2002 to 11.9/1000 PY [10.1–13.8] in 2009–2012 (p <0.0001). Factors independently associated to increased risk of SBI were: plasma HIVRNA>50 copies/mL (Hazard Ratio [HR] = 5.1, 95% Confidence Interval: 4.2–6.2), CD4 count <500 cells/mm3 and CD4/CD8 ratio <0.8 (with a dose-response relationship for both markers), history of cancer (HR = 1.4 [1.0–1.9]), AIDS stage (HR = 1.7 [1.3–2.1]) and HCV coinfection (HR = 1.4, [1.1–1.6]). HIV-positive patients with diabetes were more prone to SBI (HR = 1.6 [0.9–2.6]). Incidence of SBI decreased over a 13-year period due to the improvement in the virological and immune status of PLHIV on ART. Risk factors for SBI include low CD4 count and detectable HIV RNA, but also CD4/CD8 ratio, HCV coinfection, history of cancer and diabetes, comorbid conditions that have been frequent among PLHIV in recent years.  相似文献   
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