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. 2018 Mar 30;6(1):7–32. doi: 10.14252/foodsafetyfscj.2017024

Table 2. Comparison of categories of A. flavus predicted secondary metabolite gene clusters using different web-based computational programs.

Category SMURFa antiSMASHb MIDDAS-Mc
PKS (Type I and III) 25 20 15
NRPS 18 11 12
PKS-NRPS hybrid 2 3 3
DMAT/Terpenesd 8 13 7
NRPS-Like 14 20
PKS-Like 3 2
Indolee 5 4
RiPS 1f

aPre-computed data from www.jcvi.org/smurf. Differences from Georgianna et al. (2010)8) data could be contributed to changes in the SMURF algorithm or sequences used.

bObtained by running antiSMASH v. 4.0.0 (www.fungismash.secondarymetabolites.org) using A. flavus NRRL 3357 genome sequence (EQ963472).

cSupplementary data obtained from Umemura et al. (2013)10).

dantiSMASH categorizes DMAT's as terpenes, while SMURF defines them independently.

eIndole clusters in antiSMASH determined by hidden Markov modeling using the StaD-like chromopyrrolic acid synthase domain (Medema et al. 2011)78).

fMIDDAS-M identified the ustiloxin B cluster. A. flavus genome analysis has identified an additional 7 potential Ri