scholarly journals Small and Equipped: the Rich Repertoire of Antibiotic Resistance Genes in Candidate Phyla Radiation Genomes

mSystems ◽  
2021 ◽  
Author(s):  
Mohamad Maatouk ◽  
Ahmad Ibrahim ◽  
Jean-Marc Rolain ◽  
Vicky Merhej ◽  
Fadi Bittar

To our knowledge, this study is one of the few studies that characterize the defense systems in the CPR group and describes the first repertoire of antibiotic resistance (AR) genes. The use of a BLAST approach with lenient criteria followed by a careful examination of the functional domains has yielded a variety of enzymes that mainly give three different mechanisms of action of resistance.

mBio ◽  
2021 ◽  
Author(s):  
Sean Benler ◽  
Guilhem Faure ◽  
Han Altae-Tran ◽  
Sergey Shmakov ◽  
Feng Zheng ◽  
...  

Transposons are major vehicles of horizontal gene transfer that, in addition to genes directly involved in transposition, carry cargo genes. However, characterization of these genes is hampered by the difficulty of identification of transposon boundaries.


2021 ◽  
Author(s):  
Mohamad Maatouk ◽  
Ahmad Ibrahim ◽  
Jean-Marc Rolain ◽  
Vicky Merhej ◽  
Fadi Bittar

Microbes belonging to Candidate Phyla Radiation (CPR) have joined the tree of life as a new unique branch, thanks to the intensive application of metagenomics and advances of sequencing technologies. Despite their ultra-small size, reduced genome and metabolic pathways which mainly depend on symbiotic/exo-parasitic relationship with their bacterial host, CPR microbes are abundant and ubiquitous in almost all environments and are consequently survivors in highly competitive circumstances within microbial communities. They have been eventually identified by 16S rRNA analysis and represent more than 26% of microbial diversity. CPR microbes were able to survive in this context, although their defence mechanisms and phenotypic characteristic remain, however, poorly explored. Here, we conducted a thorough in-silico analysis on 4,062 CPR genomes to test whether these ultrasmall microorganisms might encode for antibiotic resistance (AR)-like enzymes. We used an adapted AR screening criteria with an exhaustive consensus database and complementary steps conferring their resistance functions. We conclude by reporting the surprising discovery of rich reservoir of divergent AR-like genes (n= 30,545 HITs, mean=7.5 HITs/genome [0-41] encoding for 89 AR enzymes, distributed across the 13 CPR phyla, and associated with 14 different chemical classes of antimicrobials. However, most HITs found (93.6%) were linked to glycopeptide, beta-lactams, macrolide-lincosamide-streptogramin, tetracycline and aminoglycoside resistance. Moreover, a distinct AR profile was discerned between the microgenomates group and Candidatus Parcubacteria, and between each of them and other CPR phyla. CPR cells seem to be active players during microbial competitive interactions and are well-equipped for the microbial combat in different habitats, supporting their natural survival/persistence and continued existence.


2016 ◽  
Vol 1 (2) ◽  
pp. 22 ◽  
Author(s):  
Navindra Kumari Palanisamy ◽  
Parasakthi Navaratnam ◽  
Shamala Devi Sekaran

Introduction: Streptococcus pneumoniae is an important bacterial pathogen, causing respiratory infection. Penicillin resistance in S. pneumoniae is associated with alterations in the penicillin binding proteins, while resistance to macrolides is conferred either by the modification of the ribosomal target site or efflux mechanism. This study aimed to characterize S. pneumoniae and its antibiotic resistance genes using 2 sets of multiplex PCRs. Methods: A quintuplex and triplex PCR was used to characterize the pbp1A, ermB, gyrA, ply, and the mefE genes. Fifty-eight penicillin sensitive strains (PSSP), 36 penicillin intermediate strains (PISP) and 26 penicillin resistance strains (PRSP) were used. Results: Alteration in pbp1A was only observed in PISP and PRSP strains, while PCR amplification of the ermB or mefE was observed only in strains with reduced susceptibility to erythromycin. The assay was found to be sensitive as simulated blood cultures showed the lowest level of detection to be 10cfu. Conclusions: As predicted, the assay was able to differentiate penicillin susceptible from the non-susceptible strains based on the detection of the pbp1A gene, which correlated with the MIC value of the strains.


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