Current and emerging trends in techniques for plant pathogen detection

Plant pathogenic microorganisms cause substantial yield losses in several economically important crops, resulting in economic and social adversity. The spread of such plant pathogens and the emergence of new diseases is facilitated by human practices such as monoculture farming and global trade. Therefore, the early detection and identification of pathogens is of utmost importance to reduce the associated agricultural losses. In this review, techniques that are currently available to detect plant pathogens are discussed, including culture-based, PCR-based, sequencing-based, and immunology-based techniques. Their working principles are explained, followed by an overview of the main advantages and disadvantages, and examples of their use in plant pathogen detection. In addition to the more conventional and commonly used techniques, we also point to some recent evolutions in the field of plant pathogen detection. The potential use of point-of-care devices, including biosensors, have gained in popularity. These devices can provide fast analysis, are easy to use, and most importantly can be used for on-site diagnosis, allowing the farmers to take rapid disease management decisions.

Novel multiplex PCRs for detection of the most prevalent carbapenemase genes in Gram-negative bacteria within Germany

Introduction. Gram-negative bacteria are a common source of infection both in hospitals and in the community, and antimicrobial resistance is frequent among them, making antibiotic therapy difficult, especially when these isolates carry carbapenem resistance determinants.Hypothesis/Gap Statement. A simple method to detect all the commonly found carbapenemases in Germany was not available.Aim. The aim of this study was to develop a multiplex PCR for the rapid and reliable identification of the most prevalent carbapenemase-encoding genes in Gram-negative bacteria in Germany.Methodology. Data from the German Gram-negative reference laboratory revealed the most prevalent carbapenemase groups in Germany were (in order of prevalence): bla _VIM, bla _OXA-48, bla _OXA-23, bla _KPC, bla _NDM, bla _OXA-40, bla _OXA-58, bla _IMP, bla _GIM, bla _GES, ISAba1-bla _OXA-51, bla _IMI, bla _FIM and bla _DIM. We developed and tested two multiplex PCRs against 83 carbapenem-resistant Gram-negative clinical isolates. Primers were designed for each carbapenemase group within conserved regions of the encoding genes obtained from publicly available databases. Multiplex-1 included the carbapenemase groups bla _VIM, bla _OXA-48, bla _OXA-23, bla _KPC, bla _NDM and bla _OXA-40, while multiplex-2 included bla _OXA-58, bla _IMP, bla _GIM, bla _GES, ISAba1-bla _OXA-51 and bla _IMI.Results. In the initial evaluation, all but one of the carbapenemases encoded by 75 carbapenemase-positive isolates were detected using the two multiplex PCRs, while no false-positive results were obtained from the remaining eight isolates. After evaluation, we tested 546 carbapenem-resistant isolates using the multiplex PCRs, and all carbapenemases were detected.Conclusion. A rapid and reliable method was developed for detection and differentiation of 12 of the most prevalent carbapenemase groups found in Germany. This method allows for the rapid testing of clinical isolates prior to species identification and does not require prior phenotypical characterization, constituting a rapid and valuable tool in the management of infections in hospitals.

domestica) From Hainan Province of China: Natural Infection Rate and the Species or Genotype Distribution

Cryptosporidium spp. and Enterocytozoon bieneusi are two important zoonotic pathogens that can infect humans and a broad range of animal hosts. However, few studies have been conducted to study infection of the two pathogens in domestic geese until now. The aims of the present study were to determine the prevalence of natural infection, and the species or genotype distribution of Cryptosporidium and E. bieneusi in farm-raised and free-ranging geese from Hainan Province of China. In total, 266 fecal samples of geese were collected (142 farm-raised and 124 free-ranging geese). Cryptosporidium spp. and E. bieneusi were identified by nested PCR and sequencing analysis of the SSU rRNA and the ITS region of the rRNA genes. A total of 4.1% (12/226) of the geese were positive for Cryptosporidium spp., with 0.7% identified in the farm-raised geese and 7.0% in the free-ranging geese. Two bird-adapted species/genotypes were identified: C. baileyi (n = 1) and Cryptosporidium goose genotype I (n = 11). Meanwhile, E. bieneusi was found in 13.9% (37/266) of geese, with 8.9% identified in the farm-raised and 21.8% in the free-ranging geese. Eleven genotypes of E. bieneusi were identified constituted with six known genotypes: D (n = 13), I (n = 5), CHG2 (n = 1), CHG3 (n = 5), and CHG5 (n = 1), and five novel genotypes named HNE-I to V (one each). All of the genotypes identified in the geese here belonged to zoonotic Groups 1 or 2. This study is the first to demonstrate the presence of Cryptosporidium spp. and E. bieneusi in domestic geese from Hainan, China, and provides baseline data that will be useful for controlling and preventing these pathogens in goose farms. The geese infected with E. bieneusi, but not with Cryptosporidium, should be considered potential public health threats.

PCR-based detection of Aspergillus fumigatus and absence of azole resistance due to TR34 /L98H in a french multicenter cohort of 137 patients with fungal rhinosinusitis

Fungal rhinosinusitis (FRS) has a worldwide distribution, comprises distinct clinical entities but is mostly due to Aspergillus among which Aspergillus fumigatus plays a major role in European countries. Although, there is accumulating evidence for the emergence of environmentally acquired-azole resistance in A. fumigatus (such as TR₃₄ /L98H) in various clinical settings, there is few data for patients with FRS. In this study, we aimed to investigate the prevalence of A. fumigatus azole resistance due to TR₃₄ /L98H in a multicentre cohort of patients with FRS. One hundred and thirty-seven patients with FRS admitted between 2002 and 2016 at four French medical centres were retrospectively enrolled. Clinical and mycological findings were collected. Aspergillus fumigatus and the TR₃₄ /L98H alteration conferring azole resistance were investigated directly from clinical samples using the commercial CE-IVD marked MycoGENIE^® A. fumigatus real-time PCR assay. Fungal ball was the more frequent clinical form (n = 118). Despite the presence of fungal hyphae at direct microscopic examination, mycological cultures remained negative for 83 out of the 137 patients (60.6%). The PCR assay proved to be useful allowing the identification of A. fumigatus and etiological diagnosis in 106 patients (77.4%) compared with 44 patients (32.1%) when using culture as the reference method. Importantly, neither TR₃₄ nor L98H alterations were evidenced.

A Specific and Sensitive Method for the Detection of Colletotrichum lindemuthianum in Dry Bean Tissue

To facilitate early diagnosis and improve control of bean anthracnose, a rapid, specific, and sensitive polymerase chain reaction (PCR)-based method was developed to detect the causal agent, Colletotrichum lindemuthianum, in bean (Phaseolus vulgaris) seed. Based on sequence data of the rDNA region consisting of the 5.8S gene and internal transcribed spacers (ITS) 1 and 2 of four C. lindemuthianum races and 17 Colletotrichum species downloaded from GenBank, five forward primers were designed and evaluated for their specificity. Among them, one forward primer was selected for use in combination with ITS4 to specifically detect C. lindemuthianum. A 461-bp specific band was amplified from the genomic DNA template of 16 representative isolates of C. lindemuthianum, but not from 58 representative isolates of 17 other Colletotrichum species or 10 bean pathogens. Moreover, to enhance the sensitivity of detection, nested PCR was applied, which allowed the detection of as little as 10 fg of C. lindemuthianum genomic DNA and 1% infected seed powder, which was mixed with 99% healthy seed powder. The diagnostic analysis can be completed within 24 h, compared with about 2 weeks required for culturing. Furthermore, this method can be performed and interpreted by personnel with no specialized taxonomic expertise.