2016
DOI: 10.1371/journal.pone.0158471
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Bioinformatics Prediction of Polyketide Synthase Gene Clusters from Mycosphaerella fijiensis

Abstract: Mycosphaerella fijiensis, causal agent of black Sigatoka disease of banana, is a Dothideomycete fungus closely related to fungi that produce polyketides important for plant pathogenicity. We utilized the M. fijiensis genome sequence to predict PKS genes and their gene clusters and make bioinformatics predictions about the types of compounds produced by these clusters. Eight PKS gene clusters were identified in the M. fijiensis genome, placing M. fijiensis into the 23rd percentile for the number of PKS genes co… Show more

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Cited by 24 publications
(96 citation statements)
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“…2 and 7) [36]. In addition to the three polyketide synthase gene clusters recently described [17], we showed that an NRPS, an NRPS-like, and a fusicoccane gene cluster had higher expression in infected leaf tissue compared to medium (Fig. 7).…”
Section: Discussionsupporting
confidence: 63%
“…2 and 7) [36]. In addition to the three polyketide synthase gene clusters recently described [17], we showed that an NRPS, an NRPS-like, and a fusicoccane gene cluster had higher expression in infected leaf tissue compared to medium (Fig. 7).…”
Section: Discussionsupporting
confidence: 63%
“…Furthermore, a bioinfomatic approach to predict polyketide synthase ( PKS ) gene clusters from P. fijiensis found that the fungus contained three PKS genes that were also present in P. musae and P. eumusae but absent in other fungal species. Further comparison to P. musae and P. eumusae PKS gene clusters showed that many of the PKS genes were similar to those of P. fijiensis , with a single gene exception that encoded a unique compound (Noar & Daub, ). An analysis of several isolates of P. fijiensis has also revealed allelic variation in some of the effector‐coding sequences (Stergiopoulos et al ., ).…”
Section: Advances In Genomics Of Pseudocercospora Banana Pathogensmentioning
confidence: 97%
“…Such findings, coupled with the current understanding that the three pathogens have different strategies for manipulating the host immune system, have great implications especially for the development of Musa germplasm with resistance to Pseudocercospora banana pathogens. Recently, transcriptomic and bioinformatic analyses have identified genes that code for molecules that aid Pseudocercospora banana pathogens to successfully infect banana, including PKS and proteins involved in metabolism and enzymatic degradation (Chang et al ., ; Noar & Daub, ,b). Bioinformatic analysis has also demonstrated that some of the effectors are unique to the three Pseudocercospora banana pathogens while one is only present in P. fijiensis and not in any known fungal pathogen (Noar & Daub, ).…”
Section: Identification and Validation Of Effector Proteins And Othermentioning
confidence: 97%
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