Reduction of lag in crude oil degradation by Aspergillus when it is in synergy with Bacillus in biofilm mode

Identification of long-chain alkane-degrading (LadA) monooxygenases in Aspergillus flavus via in silico analysis

“…Aspergillus flavus MM1, previously isolated in our laboratory, was shown to degrade long-chain alkanes present in crude petroleum oil (C 12 –C 30 in our sample) to an extent of 98 ± 2% within 7 days at 30°C under static conditions ( Perera et al, 2021 ). This suggested that this fungus possesses multiple pathways to catalyze the oxidation of a broad range of alkanes.…”

“…This suggested that this fungus possesses multiple pathways to catalyze the oxidation of a broad range of alkanes. Although several fungi have been reported ( El-Hanafy et al, 2017 ; Al-Hawash et al, 2018 ; Barnes et al, 2018 ; Wemedo et al, 2018 ; Perera et al, 2021 ) to degrade a broad range of alkanes at moderate temperatures, the only pathway that has so far been identified in fungi is the CYP52 system, which is known to catalyze the oxidation of short-to-medium-chain alkanes, but not long-chain alkanes (> C 16 ) ( Sanglard and Loper, 1989 ; Scheller et al, 1996 ; Zimmer et al, 1996 ; Iida et al, 2000 ; Vatsyayan et al, 2008 ).…”

“…Degradation of long-chain alkanes have been demonstrated in fungi such as Aspergillus, Penicillium, Fusarium , and Rhizopus ( Yamada-Onodera et al, 2002 ; Mittal and Singh, 2009 ; Abd et al, 2016 ; El-Hanafy et al, 2017 ; Al-Hawash et al, 2018 ; Barnes et al, 2018 ; Wemedo et al, 2018 ). The filamentous fungus, Aspergillus flavus MM1, has been shown to rapidly degrade n -alkanes ranging from C 12 to C 30 in crude oil ( Perera et al, 2021 ).…”

Yeast-based production and in situ purification of acetaldehyde

“…Cumulative capture efficiency of the water trap system consisting of five consecutive traps for different amounts of acetaldehyde fed after 24 h. The capture efficiency is calculated as acetaldehyde found divided by acetaldehyde injected minus the amount left in the reactor Fig. 4 Fermentations with acetaldehyde capture. a CDW, CO 2 signal (difference between the carbon dioxide concentrations in v/v % of inflow air and off-gas), and reactor supernatant acetaldehyde concentration as a mean with standard deviation (n = 3 for h 0-3,24; n = 2 for 4-10, 23 and n = 1 for 12-23, for CO 2 n = 3 for h 0-9, n = 2 for 9-24).…”

“…In industrial biotechnology, Saccharomyces cerevisiae is one of the most frequently used hosts, with the bioethanol sector as the prime example reaching 76.5 Mt/a in 2015 [ 3 ]. With nowadays easy genetic modifications, the feedstocks can range from glucose over lignocellulose biomass, H 2 /CO 2 up to plastic monomers and crude oil [ 4 , 5 ]. The range of products is almost limitless, ranging from alkenes, alcohols, organic acids over pyridines up to peptides, enzymes, and pharmaceutical proteins.…”