In silico prediction of type I PKS gene modules in nine lichenized fungi
The novel biologically active molecules could play a significant role in the treatment of human diseases. Natural products have been and continue to be a major source of pharmaceuticals, and lichen secondary metabolites emerge as never-ending potential for bioactive molecules with a variety of pharm...
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Online Access: | http://dx.doi.org/10.1080/13102818.2021.1879679 |
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doaj-c05292dc85fc4bb29ce9a596ace539872021-02-08T14:09:08ZengTaylor & Francis GroupBiotechnology & Biotechnological Equipment1310-28181314-35302021-01-0135137638310.1080/13102818.2021.18796791879679In silico prediction of type I PKS gene modules in nine lichenized fungiMine Turktas Erken0Demet Cansaran-Duman1Ummugulsum Tanman2Biology Department, Faculty of Science, Gazi UniversitySystem Biotechnology Advance Research Unit, Biotechnology Institute, Ankara UniversitySystem Biotechnology Advance Research Unit, Biotechnology Institute, Ankara UniversityThe novel biologically active molecules could play a significant role in the treatment of human diseases. Natural products have been and continue to be a major source of pharmaceuticals, and lichen secondary metabolites emerge as never-ending potential for bioactive molecules with a variety of pharmacological activities. Polyketides, which are synthesized by enzymes encoded by PKS genes, constitute the major group of these secondary metabolites. To date, there is a lack of information about identification of PKS gene modules. Functional validation studies in lichens are difficult because of the slow growth rates of lichens, the symbiotic partners of lichens cannot be cultured in the laboratory or the fact that most of them cannot be grown in culture. Consequently, the importance of genomic mining approach is increasing as a unique tool for natural product discovery studies. Here, we bioinformatically investigated the type I PKS module candidates in nine publicly available lichen-forming fungi genomes through the use of the in silico screening tools. We also predicted putative secondary metabolites produced in these lichens which indicated the pharmaceutical potential of these nine lichen-forming fungi by bioinformatics tools.http://dx.doi.org/10.1080/13102818.2021.1879679fungilichenbioinformaticspkssecondary metabolite |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mine Turktas Erken Demet Cansaran-Duman Ummugulsum Tanman |
spellingShingle |
Mine Turktas Erken Demet Cansaran-Duman Ummugulsum Tanman In silico prediction of type I PKS gene modules in nine lichenized fungi Biotechnology & Biotechnological Equipment fungi lichen bioinformatics pks secondary metabolite |
author_facet |
Mine Turktas Erken Demet Cansaran-Duman Ummugulsum Tanman |
author_sort |
Mine Turktas Erken |
title |
In silico prediction of type I PKS gene modules in nine lichenized fungi |
title_short |
In silico prediction of type I PKS gene modules in nine lichenized fungi |
title_full |
In silico prediction of type I PKS gene modules in nine lichenized fungi |
title_fullStr |
In silico prediction of type I PKS gene modules in nine lichenized fungi |
title_full_unstemmed |
In silico prediction of type I PKS gene modules in nine lichenized fungi |
title_sort |
in silico prediction of type i pks gene modules in nine lichenized fungi |
publisher |
Taylor & Francis Group |
series |
Biotechnology & Biotechnological Equipment |
issn |
1310-2818 1314-3530 |
publishDate |
2021-01-01 |
description |
The novel biologically active molecules could play a significant role in the treatment of human diseases. Natural products have been and continue to be a major source of pharmaceuticals, and lichen secondary metabolites emerge as never-ending potential for bioactive molecules with a variety of pharmacological activities. Polyketides, which are synthesized by enzymes encoded by PKS genes, constitute the major group of these secondary metabolites. To date, there is a lack of information about identification of PKS gene modules. Functional validation studies in lichens are difficult because of the slow growth rates of lichens, the symbiotic partners of lichens cannot be cultured in the laboratory or the fact that most of them cannot be grown in culture. Consequently, the importance of genomic mining approach is increasing as a unique tool for natural product discovery studies. Here, we bioinformatically investigated the type I PKS module candidates in nine publicly available lichen-forming fungi genomes through the use of the in silico screening tools. We also predicted putative secondary metabolites produced in these lichens which indicated the pharmaceutical potential of these nine lichen-forming fungi by bioinformatics tools. |
topic |
fungi lichen bioinformatics pks secondary metabolite |
url |
http://dx.doi.org/10.1080/13102818.2021.1879679 |
work_keys_str_mv |
AT mineturktaserken insilicopredictionoftypeipksgenemodulesinninelichenizedfungi AT demetcansaranduman insilicopredictionoftypeipksgenemodulesinninelichenizedfungi AT ummugulsumtanman insilicopredictionoftypeipksgenemodulesinninelichenizedfungi |
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1724279970584330240 |