Biodiversity of the Genus Penicillium in Different Habitats

Yadav, Ajar Nath; Verma, Priyanka; Kumar, Vinod; Sangwan, Punesh; Mishra, Shaunak; Panjiar, Neha; Gupta, Vijai Kumar; Saxena, Anil Kumar

doi:10.1016/b978-0-444-63501-3.00001-6

Cited by 123 publications

(33 citation statements)

References 116 publications

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“…Because no clear connection was found between the annotated habitats and the metabolic clustering of the species, we further attempted to assess if the habitats correlated to a clustering of the species based on either extracellular and transport reactions, or on CAZy domains, found in the predicted proteome, but no clear correlations were observed. This could be due to the wide range of habitats that some of those species can live in (Pitt & Hocking, ; Yadav et al, ). Since a GEM represents the full metabolic potential of a given species, the difference in metabolism of species living in different habitats could appear based on gene activation (and therefore metabolic pathway activation) on different media in addition to studying the global metabolic potential.…”

Section: Resultsmentioning

confidence: 99%

Reconstruction of 24 Penicillium genome‐scale metabolic models shows diversity based on their secondary metabolism

Prigent

Nielsen

Frisvad

et al. 2018

Biotech & Bioengineering

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Modeling of metabolism at the genome-scale has proved to be an efficient method for explaining the phenotypic traits observed in living organisms. Further, it can be used as a means of predicting the effect of genetic modifications for example, development of microbial cell factories. With the increasing amount of genome sequencing data available, there exists a need to accurately and efficiently generate such genome-scale metabolic models (GEMs) of nonmodel organisms, for which data is sparse. In this study, we present an automatic reconstruction approach applied to 24 Penicillium species, which have potential for production of pharmaceutical secondary metabolites or use in the manufacturing of food products, such as cheeses. The models were based on the MetaCyc database and a previously published Penicillium GEM and gave rise to comprehensive genome-scale metabolic descriptions. The models proved that while central carbon metabolism is highly conserved, secondary metabolic pathways represent the main diversity among species. The automatic reconstruction approach presented in this study can be applied to generate GEMs of other understudied organisms, and the developed GEMs are a useful resource for the study of Penicillium metabolism, for example, for the scope of developing novel cell factories.

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Section: Resultsmentioning

confidence: 99%

Reconstruction of 24 Penicillium genome‐scale metabolic models shows diversity based on their secondary metabolism

Prigent

Nielsen

Frisvad

et al. 2018

Biotech & Bioengineering

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show abstract

“…Both epiphytic and endophytic fungi inhabiting the leaf are of high species diversity with diverse metabolic functions (Yao et al 2019), such as leaf litter decomposition and recycling the carbon and nitrogen (Kannadan and Rudgers 2008;Guerreiro et al 2018). In general, endophytic fungi can help plant growth and also provide resistance to biotic (pathogens) and abiotic (drought and salinity) stresses, (Arnold et al 2007;Purahong and Hyde 2011;Guerreiro et al 2018;Yadav et al 2018c). In culturedependent approaches, several fungal species have been isolated from small herbs to larger woody plants.…”

Section: Fungal Microbiota Of Phyllospherementioning

confidence: 99%

Phyllospheric Microbiomes: Diversity, Ecological Significance, and Biotechnological Applications

Sivakumar

Sathishkumar

Selvakumar

et al. 2020

Sustainable Development and Biodiversity

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The phyllosphere referred to the total aerial plant surfaces (above-ground portions), as habitat for microorganisms. Microorganisms establish compositionally complex communities on the leaf surface. The microbiome of phyllosphere is rich in diversity of bacteria, fungi, actinomycetes, cyanobacteria, and viruses. The diversity, dispersal, and community development on the leaf surface are based on the physiochemistry, environment, and also the immunity of the host plant. A colonization process is an important event where both the microbe and the host plant have been benefited. Microbes commonly established either epiphytic or endophytic mode of life cycle on phyllosphere environment, which helps the host plant and functional communication with the surrounding environment. To the scientific advancement, several molecular techniques like metagenomics and metaproteomics have been used to study and understand the physiology and functional relationship of microbes to the host and its environment. Based on the available information, this chapter describes the basic understanding of microbiome in leaf structure and physiology, microbial interactions, especially bacteria, fungi, and actinomycetes, and their adaptation in the phyllosphere environment. Further, the detailed information related to the importance of the microbiome in phyllosphere to the host plant and their environment has been analyzed. Besides, biopotentials of the phyllosphere microbiome have been reviewed.

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“…The partial ITS gene sequences of the isolated strains were compared with those available in the databases. Identification at the species level was determined using a ITS gene sequence similarity of ≥97% with that of a prototype strain sequence in the GenBank Yadav et al, 2017). The phylogenetic tree was constructed on the aligned datasets using the Maximum Likehood method implemented in the program MEGA 4.0.2.…”

Section: Isolation and Characterization Of Fungimentioning

confidence: 99%

Integrated Disease Management of Storage Rot of Ginger (Zingiber officinale) caused by Fusarium sp. in Himachal Pradesh, India

Sharma¹,

Dohroo²,

Shanmugam³

et al. 2017

Int.J.Curr.Microbiol.App.Sci

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Biodiversity of the Genus Penicillium in Different Habitats

Cited by 123 publications

References 116 publications

Reconstruction of 24 Penicillium genome‐scale metabolic models shows diversity based on their secondary metabolism

Reconstruction of 24 Penicillium genome‐scale metabolic models shows diversity based on their secondary metabolism

Phyllospheric Microbiomes: Diversity, Ecological Significance, and Biotechnological Applications

Integrated Disease Management of Storage Rot of Ginger (Zingiber officinale) caused by Fusarium sp. in Himachal Pradesh, India

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