scholarly journals Pathogenic potential prediction for novel fungal DNA based on a curated fungi-hosts data collection

2021 ◽  
Author(s):  
Jakub M Bartoszewicz ◽  
Ferdous Nasri ◽  
Melania Nowicka ◽  
Bernhard Y Renard
Keyword(s):  
Data Collection ◽  
Dna Sequences ◽  
Plant Pathogens ◽  
Pathogenic Fungi ◽  
Range Data ◽  
Human Pathogens ◽  
Sequencing Data ◽  
Emerging Pathogens ◽  
Pathogenic Potential ◽  
Fungal Host

Background: Emerging pathogens are a growing threat, but large data collections and approaches for predicting the risk associated with novel agents are limited to bacteria and viruses. Pathogenic fungi, which also pose a constant threat to public health, remain understudied. Relevant, curated data remains comparatively scarce and scattered among many different sources, hindering the development of sequencing-based detection workflows for novel fungal pathogens. No prediction method working for agents across all three groups is available, even though the cause of an infection is often difficult to identify from symptoms alone. Results: We present a curated collection of fungal host range data, comprising records on human, animal and plant pathogens, as well as other plant-associated fungi, linked to publicly available genomes. We show that the resulting database can be used to predict the pathogenic potential of novel fungal species directly from DNA sequences with either sequence homology or deep learning. We develop learned, numerical representations of the collected genomes and show that the human pathogens are separable from non-human pathogens. Finally, we train multi-class models predicting if next-generation sequencing reads originate from novel fungal, bacterial or viral threats. Conclusions: The presented data collection enables accurate detection of novel pathogens from sequencing data. It is also a comprehensive resource that can find use beyond this particular task. This can include possible applications in proteomics and genomics, employing both machine learning and direct sequence comparison. Availability: The database and models are hosted at https://zenodo.org/record/5711852 and https://zenodo.org/record/5711877. Source code is available at https://gitlab.com/dacs-hpi/deepac.

scholarly journals Genomic characterization of 99 viruses from the bunyavirus families Nairoviridae, Peribunyaviridae, and Phenuiviridae, including 35 previously unsequenced viruses

2021 ◽  
Vol 17 (3) ◽  
pp. e1009315
Author(s):  
Marylee L. Kapuscinski ◽  
Nicholas A. Bergren ◽  
Brandy J. Russell ◽  
Justin S. Lee ◽  
Erin M. Borland ◽  
...  
Keyword(s):  
Plant Pathogens ◽  
Reference Sequence ◽  
Large Sample Size ◽  
Emerging Pathogens ◽  
Genome Sequences ◽  
Pathogenic Potential ◽  
Genomic Characterization ◽  
Response Decisions ◽  
Rapid Characterization

Bunyaviruses (Negarnaviricota: Bunyavirales) are a large and diverse group of viruses that include important human, veterinary, and plant pathogens. The rapid characterization of known and new emerging pathogens depends on the availability of comprehensive reference sequence databases that can be used to match unknowns, infer evolutionary and pathogenic potential, and make response decisions in an evidence-based manner. In this study, we determined the coding-complete genome sequences of 99 bunyaviruses in the Centers for Disease Control and Prevention’s Arbovirus Reference Collection, focusing on orthonairoviruses (family Nairoviridae), orthobunyaviruses (Peribunyaviridae), and phleboviruses (Phenuiviridae) that either completely or partially lacked genome sequences. These viruses had been collected over 66 years from 27 countries from vertebrates and arthropods representing 37 genera. Many of the viruses had been characterized serologically and through experimental infection of animals but were isolated in the pre-sequencing era. We took advantage of our unusually large sample size to systematically evaluate genomic characteristics of these viruses, including reassortment, and co-infection. We corroborated our findings using several independent molecular and virologic approaches, including Sanger sequencing of 197 genome segments, and plaque isolation of viruses from putative co-infected virus stocks. This study contributes to the described genetic diversity of bunyaviruses and will enhance the capacity to characterize emerging human pathogenic bunyaviruses.

scholarly journals Isolation and Identification of Antibiotic-Producing Halophilic Bacteria from Dagh Biarjmand and Haj Aligholi Salt Deserts, Iran

2019 ◽  
Vol 25 (1) ◽  
pp. 70-77 ◽  
Author(s):  
Babak Elyasifar ◽  
Sevda Jafari ◽  
Somayeh Hallaj-Nezhadi ◽  
Florence Chapeland-leclerc ◽  
Gwenaël Ruprich-Robert ◽  
...  
Keyword(s):  
Pathogenic Bacteria ◽  
Plant Pathogens ◽  
Halophilic Bacteria ◽  
Pathogenic Fungi ◽  
Antibacterial Activities ◽  
Biochemical Properties ◽  
Diffusion Method ◽  
Human Pathogens ◽  
Isolation And Identification ◽  
Phylogenic Tree

Background: Halophilic bacteria are potent organisms in production of novel bioactive antimicrobial compounds which might be considered in drug innovation and control of plant pathogens. Salt deserts in Semnan province are of the most permanent hypersaline areas in the North of Iran. Despite the importance of these areas, there is no scientific report regarding the biodiversity and potency of their halophilic bacteria. Thus, aforementioned areas were selected to detect the halophilic bacteria. Methods: Here, seven strains were isolated and cultured on their molecular and biochemical properties were characterized. To determine the antibiotic potency of the isolates, agar well diffusion method was conducted. Phylogenetic analysis was done to reveal the isolates relationship with previously known strains. Results: As a result, growth of the strains in the medium containing 5 to 20% (w/v) NaCl determined that the majority of the isolates were moderately halophile. Catalase activity of all strains was positive. The results represented that D6A, Dar and D8B have antimicrobial effects against different plant and human pathogens. Phylogenic tree analysis also showed that two strains of D6A and Dar are belonged to Bacillus subtilis and D8B is belonged to Virgibacillus olivae. The bacteria extracts were evaluated for their antifungal and antibacterial activities on human and Plant pathogenic strains. The MIC of the extract B. subtilis against was found active against human pathogenic fungi and Plant pathogenic bacteria and fungi, ranging from 12.5 to 25 µg/mL. Conclusion: This study highlights the therapeutic and prophylactic potential of B. subtilis extracts as antibacterial and antifungal agents.

scholarly journals The Pattern and Function of DNA Methylation in Fungal Plant Pathogens

2020 ◽  
Vol 8 (2) ◽  
pp. 227 ◽  
Author(s):  
Chang He ◽  
Zhanquan Zhang ◽  
Boqiang Li ◽  
Shiping Tian
Keyword(s):  
Dna Methylation ◽  
Dna Sequences ◽  
Plant Pathogens ◽  
Epigenetic Modification ◽  
Gene Promoter ◽  
Pathogenic Fungi ◽  
Dna Methyltransferases ◽  
Phytopathogenic Fungi ◽  
Fungal Plant Pathogens ◽  
Wide Range

To successfully infect plants and trigger disease, fungal plant pathogens use various strategies that are dependent on characteristics of their biology and genomes. Although pathogenic fungi are different from animals and plants in the genomic heritability, sequence feature, and epigenetic modification, an increasing number of phytopathogenic fungi have been demonstrated to share DNA methyltransferases (MTases) responsible for DNA methylation with animals and plants. Fungal plant pathogens predominantly possess four types of DNA MTase homologs, including DIM-2, DNMT1, DNMT5, and RID. Numerous studies have indicated that DNA methylation in phytopathogenic fungi mainly distributes in transposable elements (TEs), gene promoter regions, and the repetitive DNA sequences. As an important and heritable epigenetic modification, DNA methylation is associated with silencing of gene expression and transposon, and it is responsible for a wide range of biological phenomena in fungi. This review highlights the relevant reports and insights into the important roles of DNA methylation in the modulation of development, pathogenicity, and secondary metabolism of fungal plant pathogens. Recent evidences prove that there are massive links between DNA and histone methylation in fungi, and they commonly regulate fungal development and mycotoxin biosynthesis.

scholarly journals Comparative Genomic and Phenotypic Analyses of Pathogenic Fungi Neoscytalidium Dimidiatum and Bipolaris Papendorfii, Isolated From Human Skin Scraping

2020 ◽  
Author(s):  
Chee Sian Kuan ◽  
Kee Peng Ng ◽  
Su Mei Yew ◽  
Hadiza Umar Meleh ◽  
Heng Fong Seow ◽  
...  
Keyword(s):  
Dna Sequences ◽  
Plant Pathogens ◽  
Pathogenic Fungi ◽  
Gene Clusters ◽  
Comparative Genomic ◽  
Broad Host Range ◽  
Neoscytalidium Dimidiatum ◽  
Functional Studies ◽  
Ph Tolerance ◽  
Fungal Plant Pathogens

Abstract Background: Neoscytalidium dimidiatum and Bipolaris species are fungal plant pathogens that have been reported to cause human diseases. Recently, we have isolated numerous N. dimidiatum and Bipolaris species from the skin scrapings and nails of different patients. In this work, we have sequenced the genome of one strain of N. dimidiatum. The sequenced genome was compared to that of a previously reported Bipolaris papendorfii genome for a better understanding of their complex lifestyle and broad host-range pathogenicity. Results: Their 33-43 Mb genomes include 11,015-12,320 putative coding DNA sequences, of which 0.51-2.49 are predicted transposable elements. Analysis of secondary metabolism gene clusters revealed several melanin biosynthetic genes and genes involved in fungal iron uptake. The arsenal of CAZymes related to plants pathogenicity is comparable between the species, including genes involved in hemicellulose and pectin decomposition. Several important genes-encoding keratinolytic peptidases were identified in N. dimidiatum and B. papendorfii, reflecting their potential pathogenic role in causing skin and nail infections. In this study, additional information on the metabolic features of these two species, such as nutritional profiling, pH tolerance, and osmotolerant are revealed. Conclusions: The genomic characterization of N. dimidiatum and B. papendorfii provides the basis for the future functional studies to gain further insights as to what makes these fungi persist in plants and why they are pathogenic to humans.

scholarly journals SeqScreen: Accurate and Sensitive Functional Screening of Pathogenic Sequences via Ensemble Learning

2021 ◽  
Author(s):  
Advait Balaji ◽  
Bryce Kille ◽  
Anthony Kappell ◽  
Gene D. Godbold ◽  
Madeline Diep ◽  
...  
Keyword(s):  
Dna Sequences ◽  
Software Tool ◽  
Functional Screening ◽  
Microbial Pathogenesis ◽  
Emerging Pathogens ◽  
Pathogenic Potential ◽  
Ensemble Machine Learning ◽  
Machine Learning Model ◽  
Pathogen Characterization

Modern benchtop DNA synthesis techniques and increased concern of emerging pathogens have elevated the importance of screening oligonucleotides for pathogens of concern. However, accurate and sensitive characterization of oligonucleotides is an open challenge for many of the current techniques and ontology-based tools. To address this gap, we have developed a novel software tool, SeqScreen, that can accurately and sensitively characterize short DNA sequences using a set of curated Functions of Sequences of Concern (FunSoCs), novel functional labels specific to microbial pathogenesis which describe the pathogenic potential of individual proteins. We show that our ensemble machine learning model after training on these curations can label sequences with FunSoCs via an imbalanced multi-class and multi-label classification task with high accuracy. In summary, SeqScreen represents a first step towards a novel paradigm of functionally informed pathogen characterization from genomic and metagenomic datasets. SeqScreen is open-source and freely available for download at: https://www.gitlab.com/treangenlab/seqscreen .

scholarly journals RNA-Based Analysis Reveals High Diversity of Plant-Associated Active Fungi in the Atmosphere

2021 ◽  
Vol 12 ◽  
Author(s):  
Yan Chen ◽  
Xishen Zhu ◽  
Ziqiong Hou ◽  
Yi Wang ◽  
Yunying Zhou ◽  
...  
Keyword(s):  
Plant Pathogens ◽  
Essential Feature ◽  
Pathogenic Fungi ◽  
Amplicon Sequencing ◽  
Airborne Fungi ◽  
Sequencing Analysis ◽  
Human Pathogens ◽  
Long Distance ◽  
Airborne Microbes ◽  
New Perspective

Fungi are ubiquitous in nature; that is, they are present everywhere on the planet; understanding the active state and functional capacity of airborne microbes associated with health of human, animal, and plant is critical for biosafety management. Here, we firstly and directly proved that there were about 40% active fungi in the air via rRNA amplicon sequencing and imaging flow cytometry simultaneously. Amplicon sequencing analysis showed differences between structures of active and total fungal community; Ascomycota were dominant in the active community, while Basidiomycota have low transcriptional activity across all samples. Notably, plant pathogenic fungi were predominant in the air, and more than 50% were active, including not only several common plant pathogens but also biotrophic fungi (Erysiphe sp. and Microbotryum sp.) and host-specific pathogens, which were generally considered to be inactive after leaving the host. Putative plant pathogens of eight genera were found active across the sampling season, indicating their superior ability to obtain nutrients even in barren nutrient environments. Interestingly, we detected several potentially active unrecorded fungi in China (Diatrype prominens, Septofusidium herbarum, Pseudomicrostroma glucosiphilum, and Uromycladium tepperianum), which suggested that they spread over a long distance by air and may cause diseases under favorable conditions. Our results suggested that maintaining transmission in air is an essential feature of many fungi including plant pathogens regardless of being a biotrophic, hemibiotrophic, or necrotrophic group. Moreover, two potentially active human pathogens and one animal pathogen were captured, which indicated their potential risks. This study provided a new perspective for more comprehensive understanding of airborne fungi, including their multidimensional lifestyle, state, functioning, and potential pathogenic risk. It also laid the foundation for further prediction and management of airborne microbial communities, which would be of interest for public health and agriculture.

scholarly journals The impact of bZIP Atf1ortholog global regulators in fungi

2021 ◽  
Author(s):  
Éva Leiter ◽  
Tamás Emri ◽  
Klaudia Pákozdi ◽  
László Hornok ◽  
István Pócsi
Keyword(s):  
Transcription Factors ◽  
Stress Response ◽  
Secondary Metabolite ◽  
Plant Pathogens ◽  
Leucine Zipper ◽  
Secondary Metabolite Production ◽  
Special Focus ◽  
Human Pathogens ◽  
Metabolite Production ◽  
The Impact

Abstract Regulation of signal transduction pathways is crucial for the maintenance of cellular homeostasis and organismal development in fungi. Transcription factors are key elements of this regulatory network. The basic-region leucine zipper (bZIP) domain of the bZIP-type transcription factors is responsible for DNA binding while their leucine zipper structural motifs are suitable for dimerization with each other facilitiating the formation of homodimeric or heterodimeric bZIP proteins. This review highlights recent knowledge on the function of fungal orthologs of the Schizosaccharomyces pombe Atf1, Aspergillus nidulans AtfA, and Fusarium verticillioides FvAtfA, bZIP-type transcription factors with a special focus on pathogenic species. We demonstrate that fungal Atf1-AtfA-FvAtfA orthologs play an important role in vegetative growth, sexual and asexual development, stress response, secondary metabolite production, and virulence both in human pathogens, including Aspergillus fumigatus, Mucor circinelloides, Penicillium marneffei, and Cryptococcus neoformans and plant pathogens, like Fusarium ssp., Magnaporthe oryzae, Claviceps purpurea, Botrytis cinerea, and Verticillium dahliae. Key points • Atf1 orthologs play crucial role in the growth and development of fungi. • Atf1 orthologs orchestrate environmental stress response of fungi. • Secondary metabolite production and virulence are coordinated by Atf1 orthologs.

scholarly journals The growing repertoire of genetic tools for dissecting chlamydial pathogenesis

2021 ◽  
Author(s):  
Arkaprabha Banerjee ◽  
David E Nelson
Keyword(s):  
Genetic Engineering ◽  
Intracellular Bacteria ◽  
Human Pathogens ◽  
Pathogenic Potential ◽  
Host Preferences ◽  
Genetic Tools ◽  
Obligate Intracellular ◽  
Obligate Intracellular Bacteria ◽  
Multiple Species

Abstract Multiple species of obligate intracellular bacteria in the genus Chlamydia are important veterinary and/or human pathogens. These pathogens all share similar biphasic developmental cycles and transition between intracellular vegetative reticulate bodies and infectious elementary forms, but vary substantially in their host preferences and pathogenic potential. A lack of tools for genetic engineering of these organisms has long been an impediment to the study of their biology and pathogenesis. However, the refinement of approaches developed in C. trachomatis over the last ten years, and adaptation of some of these approaches to other Chlamydia spp. in just the last few years, has opened exciting new possibilities for studying this ubiquitous group of important pathogens.

scholarly journals Data Structures to Represent a Set of k -long DNA Sequences

2021 ◽  
Vol 54 (1) ◽  
pp. 1-22
Author(s):  
Rayan Chikhi ◽  
Jan Holub ◽  
Paul Medvedev
Keyword(s):  
Data Structures ◽  
Dna Sequences ◽  
Sequencing Data ◽  
String Algorithms ◽  
Fixed Length ◽  
The Past

The analysis of biological sequencing data has been one of the biggest applications of string algorithms. The approaches used in many such applications are based on the analysis of k -mers, which are short fixed-length strings present in a dataset. While these approaches are rather diverse, storing and querying a k -mer set has emerged as a shared underlying component. A set of k -mers has unique features and applications that, over the past 10 years, have resulted in many specialized approaches for its representation. In this survey, we give a unified presentation and comparison of the data structures that have been proposed to store and query a k -mer set. We hope this survey will serve as a resource for researchers in the field as well as make the area more accessible to researchers outside the field.

scholarly journals The Ustilago hordei–Barley Interaction is a Versatile System for Characterization of Fungal Effectors

2021 ◽  
Vol 7 (2) ◽  
pp. 86
Author(s):  
Bilal Ökmen ◽  
Daniela Schwammbach ◽  
Guus Bakkeren ◽  
Ulla Neumann ◽  
Gunther Doehlemann
Keyword(s):  
Fungal Pathogens ◽  
Plant Pathogens ◽  
Expression System ◽  
Pathogenic Fungi ◽  
Effector Proteins ◽  
Mating Partner ◽  
Fungal Virulence ◽  
Functional Studies ◽  
Infection Structures ◽  
Ustilago Hordei

Obligate biotrophic fungal pathogens, such as Blumeria graminis and Puccinia graminis, are amongst the most devastating plant pathogens, causing dramatic yield losses in many economically important crops worldwide. However, a lack of reliable tools for the efficient genetic transformation has hampered studies into the molecular basis of their virulence or pathogenicity. In this study, we present the Ustilago hordei–barley pathosystem as a model to characterize effectors from different plant pathogenic fungi. We generate U. hordei solopathogenic strains, which form infectious filaments without the presence of a compatible mating partner. Solopathogenic strains are suitable for heterologous expression system for fungal virulence factors. A highly efficient Crispr/Cas9 gene editing system is made available for U. hordei. In addition, U. hordei infection structures during barley colonization are analyzed using transmission electron microscopy, showing that U. hordei forms intracellular infection structures sharing high similarity to haustoria formed by obligate rust and powdery mildew fungi. Thus, U. hordei has high potential as a fungal expression platform for functional studies of heterologous effector proteins in barley.

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