Temporal Variation of Methanogenic Microbial Community in Palm Oil Mill Effluent (POME) Anaerobic Digester

Hui Jing Ng

Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia.

Nur Kamilah Abd Jalil

Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia.

Jemilatu Omuwa Audu

Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia and Department of Laboratory Technology, Modibbo Adama University of Technology, PMB 2076, Adamawa State, Yola, Nigeria.

Mohd Firdaus Abdul-Wahab *

Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia and Taiwan-Malaysia Innovation Centre for Clean Water and Sustainable Energy (WISE Centre), 81310 Johor Bahru, Johor, Malaysia.

*Author to whom correspondence should be addressed.


Abstract

Palm Oil Mill Effluents (POME) serve as suitable substrates for methane gas production through anaerobic digestion. This process relies on a complex microbial community that plays a critical role in ensuring stable anaerobic digester operation and efficient biogas production. Among these microorganisms, methanogenic archaea are pivotal in methane generation by utilizing diverse substrates under anoxic conditions. However, the knowledge of the microbial communities, particularly those involved in methane production in POME anaerobic sludge at different time intervals, remains limited. This study aims to uncover temporal variations in microbial communities, including diversity, composition, and structure, within POME anaerobic sludge, specifically focusing on the methanogenic archaea community. The temporal dynamics of microbial communities in the eighteen POME anaerobic sludge samples collected from a palm oil mill were investigated through 16S rRNA amplicon sequencing. The results reveal consistent microbial community diversity in POME anaerobic sludge over the study periods. Then, the sequencing also showed that Bacillota (26.9 ± 3.3%), Bacteroidota (20.2 ± 5.3%), and Chloroflexota (15.0% ± 6.3%) were the dominant bacterial phyla in POME anaerobic sludge across different time frames. Concurrently, Halobacteriota (5.9 ± 2.8%), Methanobacteriota (2.5 ± 0.6%), and Nanoarchaeota (2.3 ± 1.2%) were the primary archaeal phyla identified in anaerobic sludge at various time intervals. Furthermore, amplicon sequencing revealed the presence of two methanogenic archaea genera, Methanothrix and Methanobacterium, associated with acetoclastic and hydrogenotrophic methanogenesis, respectively. These findings suggest that acetoclastic and hydrogenotrophic methanogenesis pathways are the primary contributors to methane production in the POME anaerobic digestion process.

Keywords: Amplicon sequencing, microbial diversity, methane, methanogens, POME


How to Cite

Ng , H. J., Jalil , N. K. A., Audu , J. O., & Abdul-Wahab, M. F. (2023). Temporal Variation of Methanogenic Microbial Community in Palm Oil Mill Effluent (POME) Anaerobic Digester. South Asian Journal of Research in Microbiology, 16(4), 39–52. https://doi.org/10.9734/sajrm/2023/v16i4316

Downloads

Download data is not yet available.

References

Lee ZS, SY Chin, JW Lim, T Witoon, CK Cheng. Treatment technologies of palm oil mill effluent (POME) and olive mill wastewater (OMW): A brief review. Environmental Technology & Innovation. 2019;15:100377.

Tanikkul P, S Boonyawanich, Pisutpaisal N. Production of methane from ozonated palm oil mill effluent. International Journal of Hydrogen Energy. 2019;44(56):29561-29567.

Yap CC, SK Loh, YJ Chan, CV Supramaniam, AC Soh, MF Chong, et al. Pilot-Scale anaerobic co-digestion of palm oil mill effluent with Moringa Oleifera filtrate in an integrated anaerobic–aerobic bioreactor. BioEnergy Research. 2023; 16(3):1922-1938.

Aka BEZ, TNd Djeni, SLT Amoikon, J Kannengiesser, N Ouazzani, Dje MK. High-throughput 16S rRNA gene sequencing of the microbial community associated with palm oil mill effluents of two oil processing systems. Scientific Reports. 2021;11(1):13232.

Tan VWG, YJ Chan, SK Arumugasamy, Lim JW. Optimizing biogas production from palm oil mill effluent utilizing integrated machine learning and response surface methodology framework. Journal of Cleaner Production. 2023;414:137575.

Ng DKS, Wong SLX, Andiappan V, Ng LY. Mathematical optimisation for sustainable bio-methane (Bio-CH4) production from palm oil mill effluent (POME). Energy. 2023;265:126211.

Ahmed Y, Yaakob Z, Akhtar P, Sopian K. Production of biogas and performance evaluation of existing treatment processes in palm oil mill effluent (POME). Renewable and Sustainable Energy Reviews. 2015;42:1260-1278.

Akhbari A, Kutty PK, Chuen OC, Ibrahim S. A study of palm oil mill processing and environmental assessment of palm oil mill effluent treatment. Environmental Engineering Research. 2020;25(2):212-221.

Tan YD, Lim JS. Feasibility of palm oil mill effluent elimination towards sustainable Malaysian palm oil industry. Renewable and Sustainable Energy Reviews. 2019;111:507-522.

Hesam K, Shreeshivadasan Chelliapan, Mohd Fadhil Md Din, Shahabaldin Rezania, Tayebeh Khademi, Ashok Kumar, Palm oil mill effluent as an environmental pollutant, in Palm Oil, V. Waisundara, Editor; 2018. IntechOpen.

Abdurahman NH, YM Rosli, NH Azhari, G Hayder, I Norasyikin, A hybrid ultrasonic membrane anaerobic system (UMAS) development for palm oil mill effluent (POME) Treatment. Processes. 2023; 11(8):2477.

Suksaroj C, K Jearat, N Cherypiew, C Rattanapan, TT Suksaroj, Promoting Circular Economy in the Palm Oil Industry through Biogas Codigestion of Palm Oil Mill Effluent and Empty Fruit Bunch Pressed Wastewater. Water. 2023; 15(12):2153.

Hamzah MAF, PM Abdul, SS Mahmod, AM Azahar, JM Jahim, Performance of anaerobic digestion of acidified palm oil mill effluent under various organic loading rates and temperatures. Water. 2020; 12(9).

Nakasaki K, KK Nguyen, FC Ballesteros, T Maekawa, M Koyama, Characterizing the microbial community involved in anaerobic digestion of lipid-rich wastewater to produce methane gas. Anaerobe. 2020; 61102082.

Aziz MMA, KA Kassim, M ElSergany, S Anuar, ME Jorat, H Yaacob, et al. Recent advances on palm oil mill effluent (POME) pretreatment and anaerobic reactor for sustainable biogas production. Renewable and Sustainable Energy Reviews. 2020; 119:109603.

Rashidi NA, YH Chai, S Yusup, Biomass energy in Malaysia: current scenario, policies, and implementation challenges. BioEnergy Research; 2022.

Dzulkarnain ELN, JO Audu, WRZ Wan Dagang, MF Abdul-Wahab, Microbiomes of biohydrogen production from dark fermentation of industrial wastes: Current trends, advanced tools and future outlook. Bioresources and Bioprocessing. 2022; 9(1):16.

Lim JW, T Park, YW Tong, Z Yu, Chapter One - The microbiome driving anaerobic digestion and microbial analysis, in Advances in Bioenergy, Y. Li and S.K. Khanal, Editors. Elsevier. 2020;1-61.

Phan KH, AT Nguyen, SL Le, TM Ngo, TND Cao, TT Nguyen, et al., Thermophilic anaerobic digestion and emerging methods for organic waste treatment: A review. Bioresource Technology Reports. 2023;22:101402.

Lyu Z, N Shao, T Akinyemi, WB. Whitman, Methanogenesis. Current Biology. 2018;28(13):R727-R732.

Meegoda JN, B Li, K Patel, LB. Wang, A review of the processes, parameters, and optimization of anaerobic digestion. International Journal of Environmental Research and Public Health. 2018;5(10).

Tonanzi B, A Gallipoli, A Gianico, D Montecchio, P Pagliaccia, M Di Carlo, et al., Long-term anaerobic digestion of food waste at semi-pilot scale: Relationship between microbial community structure and process performances. Biomass and Bioenergy. 2018;118:55-64.

Audu J, N Ibrahim, Z Ibrahim, WRZ Wan Dagang, A Yahya, H Hussin, et al., Optimization of the operational parameters for mesophilic biohydrogen production from palm oil mill effluent using enriched mixed culture. Biomass Conversion and Biorefinery; 2021.

Khalid NA, H Rajandas, S Parimannan, LJ Croft, S Loke, CS Chong, et al. Insights into microbial community structure and diversity in oil palm waste compost. 3 Biotech. 2019;9(10):364.

Neoh CH, PY Yung, ZZ Noor, MH Razak, A Aris, MF Md Din, et al., Correlation between microbial community structure and performances of membrane bioreactor for treatment of palm oil mill effluent. Chemical Engineering Journal. 2017; 308:656-663.

Singka D, L Kumdhitiahutsawakul, P Rekkriangkrai, W Pathomaree. A simple method for DNA extraction from activated sludge. Chiang Mai Journal of Science. 2012;39:111-118.

Gallardo-Altamirano MJ, P Maza-Márquez, N Montemurro, S Pérez, B Rodelas, F Osorio, et al. Insights into the removal of pharmaceutically active compounds from sewage sludge by two-stage mesophilic anaerobic digestion. Science of The Total Environment. 2021;789:147869.

Qiagen, DNeasy® PowerSoil® Pro Kit Handbook; 2021.

Walters W, R Hyde Embriette, D Berg-Lyons, G Ackermann, G Humphrey, A Parada, et al., Improved bacterial 16S rRNA Gene (V4 and V4-5) and fungal internal transcribed spacer marker gene primers for microbial community surveys. mSystems. 2015;1(1):e00009-15.

Glenn TC, TW Pierson, NJ Bayona-Vásquez, TJ Kieran, SL Hoffberg, JC Thomas Iv, et al., Adapterama II: universal amplicon sequencing on Illumina platforms (TaggiMatrix). PeerJ. 2019;7:e7786.

Chen S, Y Zhou, Y Chen, J Gu. fastp: An ultra-fast all-in-one FASTQ preprocessor. Bioinformatics. 2018;34(17):i884-i890.

Martin M, Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet.journal; Vol 17, No 1: Next Generation Sequencing Data Analysis.

DOI 10.14806/ej.17.1.200, 2011.

Bolyen E, JR Rideout, MR Dillon, NA Bokulich, CC Abnet, GA Al-Ghalith, et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nature Biotechnology. 2019; 37(8):852-857.

Callahan BJ, PJ McMurdie, MJ Rosen, AW Han, AJA Johnson, SP Holmes, DADA2: high-resolution sample inference from Illumina amplicon data. Nature Methods. 2016;13(7):581-583.

Bokulich NA, BD Kaehler, JR Rideout, M Dillon, E Bolyen, R Knight et al. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. Microbiome. 2018;6(1):90.

Parks DH, M Chuvochina, PA Chaumeil, C Rinke, AJ Mussig, P Hugenholtz, A complete domain-to-species taxonomy for bacteria and archaea. Nature Biotechnology. 2020;38(9):1079- 1086.

Dubois B, F Debode, L Hautier, J Hulin, GS Martin, A Delvaux, et al. A detailed workflow to develop QIIME2-formatted reference databases for taxonomic analysis of DNA metabarcoding data. BMC Genomic Data. 2022;23(1):53.

Chong J, P Liu, G Zhou, Xia J. Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data. Nature Protocols. 2020; 15(3):799-821.

King BM. Analysis of variance, in International Encyclopedia of Education (Third Edition), P. Peterson, E. Baker, and B. McGaw, Editors. Elsevier: Oxford. 2010;32-36.

Willis AD. Rarefaction, alpha diversity, and statistics. Frontiers in Microbiology. 2019;10.

Campanaro S, L Treu, LM Rodriguez-R, A Kovalovszki, RM Ziels, I Maus, et al., New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters. Biotechnology for Biofuels. 2020;13(1):25.

Tirapanampai C, N Toewiwat, N Weeranoppanant, P Chaiyen, T Wongnate, Processing of palm oil mill effluent (POME) into food waste digesting microbes: An investigation of acclimatization strategies. Sustainable Energy Technologies and Assessments. 2022;52:102287.

Harirchi S, S Wainaina, T Sar, SA Nojoumi, M Parchami, M Parchami, et al., Microbiological insights into anaerobic digestion for biogas, hydrogen or volatile fatty acids (VFAs): a review. Bioengineered. 2022;13(3):6521-6557.

Wirth R, B Pap, D Dudits, B Kakuk, Z Bagi, P Shetty, et al. Genome-centric investigation of anaerobic digestion using sustainable second and third generation substrates. Journal of Biotechnology. 2021;339:53-64.

Liu C, D Sun, Z Zhao, Y Dang, DE Holmes. Methanothrix enhances biogas upgrading in microbial electrolysis cell via direct electron transfer. Bioresource Technology. 2019;291:121877.

Lam TYC, R Mei, Z Wu, PKH Lee, WT Liu, PH Lee. Superior resolution characterisation of microbial diversity in anaerobic digesters using full-length 16S rRNA gene amplicon sequencing. Water Research. 2020;178:115815.

Zhang Q, M Wang, X Ma, Q Gao, T Wang, X Shi, et al. High variations of methanogenic microorganisms drive full-scale anaerobic digestion process. Environment International. 2019;126:543-551.

Zhang L, KC Loh, J Zhang, L Mao, YW Tong, CH Wang, et al., Three-stage anaerobic co-digestion of food waste and waste activated sludge: Identifying bacterial and methanogenic archaeal communities and their correlations with performance parameters. Bioresource Technology. 2019;285:121333.