Assessing Fungal Biodiversity Using Molecular Markers

Shamim, Md.; Kumar, Pankaj; Kumar, Ravi Ranjan; Kumar, Mahesh; Kumar, Ranjeet; Singh, Kapildeo N.

doi:10.1007/978-3-319-34106-4_15

Cited by 8 publications

(7 citation statements)

References 211 publications

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“…Successful breeding work on resistance to fungal diseases requires knowledge of their genetic variability in each ecological region (Xu, 2016). However, precise taxonomic identification poses a substantial challenge, especially for the Alternaria genus, which exhibits significant variability in its cultural and morphological characteristics (Shamim et al, 2017). Nevertheless, this remains an important issue to address, as Alternaria spp.…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity of Alternaria species associated with black point in wheat grains

Turzhanova

Хапилина

Tumenbayeva

et al. 2020

PeerJ

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The genus Alternaria is a widely distributed major plant pathogen that can act as a saprophyte in plant debris. Fungi of this genus frequently infect cereal crops and cause such diseases as black point and wheat leaf blight, which decrease the yield and quality of cereal products. A total of 25 Alternaria sp. isolates were collected from germ grains of various wheat cultivars from different geographic regions in Kazakhstan. We investigated the genetic relationships of the main Alternaria species related to black point disease of wheat in Kazakhstan, using the inter-primer binding site (iPBS) DNA profiling technique. We used 25 retrotransposon-based iPBS primers to identify the differences among and within Alternaria species populations, and analyzed the variation using clustering (UPGMA) and statistical approaches (AMOVA). Isolates of Alternaria species clustered into two main genetic groups, with species of A.alternata and A.tennuissima forming one cluster, and isolates of A. infectoria forming another. The genetic diversity found using retrotransposon profiles was strongly correlated with geographic data. Overall, the iPBS fingerprinting technique is highly informative and useful for the evaluation of genetic diversity and relationships of Alternaria species.

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Section: Introductionmentioning

confidence: 99%

Genetic diversity of Alternaria species associated with black point in wheat grains

Turzhanova

Хапилина

Tumenbayeva

et al. 2020

PeerJ

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“…Much as, BDG Fungitell assay (Associates of Cape Cod, Inc) has been approved by the Food and Drug Administration (FDA) for the diagnosis of candidiasis, it associated with high false-positive, low sensitivity and Laboratory Diagnosis of Candidiasis DOI: http://dx.doi.org/10.5772/intechopen.106359 specificity results as shown in the Table 1 below. This has limited its use for screening purposes [16,22].…”

Section: Conventional Methodsmentioning

confidence: 99%

Laboratory Diagnosis of Candidiasis

Musinguzi¹,

Sande²,

Mboowa³

et al. 2023

Candida and Candidiasis

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The burden of Candidiasis continues to increase and so does the Candida species. Although Candida species are closely similar phenotypically, they differ from each other in terms of epidemiology, genetic characteristics, antifungal susceptibility and virulence profile. Therefore, reliable and accurate laboratory methods for identification of Candida species can determine the Candidiasis burden and enable the administration of the most appropriate antifungal drug therapy to reduce fungal mortality rates. Conventional and biochemical methods are often used in identification of Candida species. However, these techniques are specific and sensitive enough in detecting the non albicans candida (NAC) species. Molecular techniques have improved the laboratory diagnosis and management of Candidiasis due to improved sensitivity and specificity threshold. This chapter provides an overview of different laboratory methods for diagnosis of Candidiasis.

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“…A polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) detection tool based on the amplification of the ITS region has been recently applied to detect multiple Phytophthora species from plant material and environmental samples (Shamim et al, 2017). Real-time PCR is currently considered the gold standard method for detection of plant pathogens.…”

Section: Fungal Diseasesmentioning

confidence: 99%

Biotechnological tools for detection, identification and management of plant diseases

Baştaş¹,

Boyraz²

2019

Afr. J. Biotechnol.

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Detection and identification of plant pathogens is one of the most important strategies for sustainable plant diseases management. For this reason, the availability of fast, sensitive and accurate methods for detection and identification of plant pathogens is increasingly necessary to improve disease control decision making process. In other words, new technologies and improved methods with reduced/fair cost and improved speed, throughput, multiplexing, accuracy and sensitivity have emerged as an essential strategy for the control of both fungal and bacterial diseases. The development of recombinant DNA technology is also possible to isolate individual genes and incorporate resistance genes into otherwise agronomically acceptable cultivars to develop genetically resistance variety for a particular disease. These advances have been complemented by the development of new nucleic acids extraction methods, increased automation, reliable internal controls, multiplexing assays, online information and on site molecular diagnostics. The different types of polymerase chain reaction (PCR) are the most common DNA amplification technology used for detecting various plant pathogens. With the applications of bioinformatics as a modern technology in plant pathology, identification of specific motifs, DNA sequences has become possible, which ultimately increase the accuracy of modern techniques in plant disease diagnosis. The newly emerged proteomic technology is also a promising tool for providing information about pathogenicity and virulence factors that will open up new possibilities for plant disease diagnosis and appropriate protection measures.

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Assessing Fungal Biodiversity Using Molecular Markers

Abstract: Identificación y caracterización de fitopatógenos asociados al cultivo de X gulupa (Passiflora edulis f. edulis Sims) en el departamento de Antioquia Identification and characterization of phytopathogens associated with gulupa crop production (Passiflora edulis f. edulis

Cited by 8 publications

References 211 publications

Genetic diversity of Alternaria species associated with black point in wheat grains

Genetic diversity of Alternaria species associated with black point in wheat grains

Laboratory Diagnosis of Candidiasis

Biotechnological tools for detection, identification and management of plant diseases

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