Restriction Fragment Length Polymorphism of 16S–23S rDNA Intergenic Spacer of Aeromonas spp

Prevalence and genetic diversity of Aeromonas veronii isolated from aquaculture systems in the Poyang Lake area, China

The area around Poyang Lake is the main aquaculture area in Jiangxi Province, China, and an important base for the supply of freshwater aquatic products. Aquaculture in the Poyang Lake area is severely threatened by diseases caused by bacterial pathogens, and Aeromonas veronii has been the main pathogen in recent years. In this paper, ERIC-PCR genotyping, virulence gene and antimicrobial resistance gene detection, and drug susceptibility tests were carried out on 46 A. veronii isolates obtained from aquaculture systems in the Poyang Lake area from 2016 to 2020. The results showed that the A. veronii strains in the Poyang Lake area had high genetic diversity, and 46 strains produced 36 ERIC genotypes. There were no geographical and temporal differences in the cluster analysis results and no dominant clones. All 13 virulence genes tested were detected, and all isolates had harbored 2 or more virulence genes, with a maximum of 12 virulence genes detected. Among the 22 antimicrobial resistance genes selected, 15 were detected; 97.8% of the isolates contained 2 or more antimicrobial resistance genes, with a maximum of 9 antimicrobial resistance genes. Drug susceptibility tests showed that some strains were resistant to a variety of traditionally effective drugs for Aeromomas, such as enrofloxacin and florfenicol. This study provides a reference for exploring the impact of aquaculture in the Poyang Lake area on public health.

Bacterial study of fin rot in brown trout by API20E

In order to study caudal fin rot with emphasis on Aeromonas sp. and Pseudomonas sp. in Salmo trutta caspius from the salmonids propagation and breeding center of Shahid Bahonar of kelardasht region, One hundred and eighty brood stocks having fin damage symptoms were chosen. Two bacterial samples from each fish were cultured on Aeromonas and Pseudomonas specific media. To identify isolated bacterial colonies by API20E diagnostic system, samples obtained from bacterial cultures 18 to 24 h were prepared and were inoculated into the cupules of test strips. At the end of incubation, after addition of reagents if they are necessary, the results recorded on the results sheets and were analyzed by Apiwe software. The results of API20E diagnostic systems showed that Aeromonas genus bacteria including Aeromonas hydrophila with 100% frequency while the bacterial genus of Pseudomonas including Pseudomonas fluorescens, Pseudomonas aeruginosa and Pseudomonas putida with 36. 84, 31.57 and 21.05% frequency, respectively. Also 10.25% of Pseudomonas samples were unidentified.

Common key acidogen populations in anaerobic reactors treating different wastewaters: molecular identification and quantitative monitoring

Bacterial population dynamics during the start-up of three lab-scale anaerobic reactors treating different wastewaters, i.e., synthetic glucose wastewater, whey permeate, and liquefied sewage sludge, were assessed using a combination of denaturing gradient gel electrophoresis (DGGE) and real-time PCR techniques. The DGGE results showed that bacterial populations related to Aeromonas spp. and Clostridium sticklandii emerged as common and prominent acidogens in all reactors. Two real-time PCR primer/probe sets targeting Aeromonas or C. sticklandii were developed, and successfully applied to quantitatively investigate their dynamics in relation to changes in reactor performance. Quantitative analysis demonstrated that both Aeromonas- and C. sticklandii-related populations were highly abundant for acidogenic period in all reactors. Aeromonas populations accounted for up to 86.6-95.3% of total bacterial 16S rRNA genes during start-up, suggesting that, given its capability of utilizing carbohydrate, Aeromonas is likely the major acidogen group responsible for the rapid initial fermentation of carbohydrate. C. sticklandii, able to utilize specific amino acids only, occupied up to 8.5-55.2% of total bacterial 16S rRNA genes in the reactors tested. Growth of this population is inferred to be supported, at least in part, by non-substrate amino acid sources like cell debris or extracellular excretions, particularly in the reactor fed on synthetic glucose wastewater with no amino acid source. The quantitative dynamics of the two acidogen groups of interest, together with their putative functions, suggest that Aeromonas and C. sticklandii populations were numerically as well as functionally important in all reactors tested, regardless of the differences in substrate composition. Particularly, the members of Aeromonas supposedly play vital roles in anaerobic digesters treating various substrates under acidogenic, fermentative start-up conditions.

Polyphasic taxonomic studies of lactic acid bacteria associated with Tunisian fermented meat based on the heterogeneity of the 16S-23S rRNA gene intergenic spacer region

The objective of this work was to investigate the structure and diversity of lactic acid bacteria (LAB) communities in traditionally fermented meat collected from different areas of Tunisia. A polyphasic study, which involves phenotypic tests and ribosomal DNA-based techniques, was used to identify Gram-positive and catalase-negative isolates. PCR amplification of the 16S-23S rDNA ISR of 102 isolates and other reference LAB strains gave (1) one type of rrn operon (M-ISR) for lactococci, (2) two types of rrn operon (S-ISR and M-ISR) for enterococci, (3) two types of rrn operon (S-ISR and L-ISR) for Lactobacilli, and (4) three PCR amplicons (S-ISR, M-ISR, and L-ISR) obtained for Pediococcus spp. and Weissella genus. The clustering and comparison of ISR-RFLP profiles given by the isolates with those given by reference LAB strains, allowed their identification as Lactococcus lactis, Enterococcus faecium, Enterococcus faecalis, Enterococcus sanguinicola, Enterococcus hawaiiensis, Lactobacillus sakei, Lactobacillus curvatus, Lactobacillus plantarum, Lactobacillus alimentarius, Pediococcus pentosaceus, and Weissella confusa. Combined 16S-23S rDNA ISR and RFLP patterns can be considered as a good potential target for a rapid and reliable differentiation between isolates of LAB and provided further information on the organization of their rrn operons.

Use of the novel phylogenetic marker dnaJ and DNA-DNA hybridization to clarify interrelationships within the genus Aeromonas

The interrelationships of 27 Aeromonas strains were investigated using dnaJ sequences and DNA-DNA hybridization. dnaJ sequence similarities showed a stronger relationship with DNA-DNA relatedness values than did 16S rRNA gene sequence similarities. Additionally, dnaJ sequence analysis, with interspecies divergence over 5.2 % in most cases, gave better resolution than 16S rRNA gene sequences for the differentiation of strains at the species level. Relationships among Aeromonas species were therefore elucidated on the basis of dnaJ sequences and DNA-DNA reassociation. Strains of Aeromonas encheleia and Aeromonas sp. HG11 were unquestionably grouped in the same genetic species, since they shared 98.7 % dnaJ sequence similarity and 82-85 % genomic relatedness. The phylogenetically close relationships obtained from dnaJ sequence analysis (1.7-3.3 % genetic distance) were corroborated by high DNA-DNA relatedness (73-97 %) to support the previous suggestion that Aeromonas culicicola and Aeromonas allosaccharophila are later heterotypic synonyms of Aeromonas veronii. Our findings will contribute to the clarification of controversial relationships in the genus Aeromonas and also demonstrate that analysis of dnaJ sequences can be a powerful tool for interspecies study of the genus.

Polymorphism of Aeromonas spp. tRNA intergenic spacers

We investigated the length polymorphism of the intergenic spacers lying between tRNA genes of Aeromonas spp. A total of 69 strains representing all known genomic species of Aeromonas were used in the study. tDNA-PCR patterns were examined by Dice coefficient (S(D)) and unweighted pair group method of clustering (UPGMA). The strains were allocated into 15 groups at a similarity level of 70%. The strains belonging to seven genomic species: A. hydrophila (HG 1), A. caviae (HG 4), A. sobria (HG 7), A. veronii (HG 8/10), A. encheleia (HG 16), A. popoffii (HG 17), and A. culicicola (HG 18) formed distinct clusters. Our study revealed a genetic heterogeneity of the following species: A. bestiarum, A. salmonicida, A. media, A. eucrenophila, A. jandaei, A. schubertii, and A. allosaccharophila.