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Fast and Easy Quantitative Characterization of Methanotroph-Photoautotroph Cocultures
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  • Kiumars Badr,
  • William Whalen,
  • Q. Peter He,
  • Jin Wang
Kiumars Badr
Auburn University
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William Whalen
Auburn University
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Q. Peter He
Auburn University
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Jin Wang
Auburn University
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Abstract

Recent research has demonstrated that synthetic methanotroph-photoautotroph cocultures offer a highly promising route to convert biogas into value-added products. However, there is a lack of techniques for fast and accurate characterization of cocultures, such as determining the individual biomass concentration of each organism in real-time. To address this unsolved challenge, we propose an experimental-computational protocol for fast, easy and accurate quantitative characterization of the methanotroph-photoautotroph cocultures. Besides determining the individual biomass concentration of each organism in the coculture, the protocol can also obtain the individual consumption and production rates of O2 and CO2 for the methanotroph and photoautotroph, respectively. The accuracy and effectiveness of the proposed protocol was demonstrated using two model coculture pairs, Methylomicrobium alcaliphilum 20ZR - Synechococcus sp. PCC7002 that prefers high pH high salt condition, and Methylococcus capsulatus - Chlorella sorokiniana that prefers low salt and neutral pH medium. The performance of the proposed protocol was compared with a flow cytometry based cell counting approach. The experimental results show that the proposed protocol is much easier to carry out and delivers faster and more accurate results in measuring individual biomass concentration than the cell counting approach without requiring any special equipment.

Peer review status:Published

09 Aug 2020Submitted to Biotechnology and Bioengineering
09 Aug 2020Submission Checks Completed
09 Aug 2020Assigned to Editor
30 Aug 2020Reviewer(s) Assigned
29 Sep 2020Editorial Decision: Revise Minor
29 Sep 2020Review(s) Completed, Editorial Evaluation Pending
03 Oct 20201st Revision Received
06 Oct 2020Submission Checks Completed
06 Oct 2020Assigned to Editor
10 Oct 2020Review(s) Completed, Editorial Evaluation Pending
10 Oct 2020Editorial Decision: Accept
16 Oct 2020Published in Biotechnology and Bioengineering. 10.1002/bit.27603