Insights into microbial community structure and diversity in oil palm waste compost

Efficient methane production from agro-industrial residues using anaerobic fungal-rich consortia

Anaerobic digestion (AD) emerges as a pivotal technique in climate change mitigation, transforming organic materials into biogas, a renewable energy form. This process significantly impacts energy production and waste management, influencing greenhouse gas emissions. Traditional research has largely focused on anaerobic bacteria and methanogens for methane production. However, the potential of anaerobic lignocellulolytic fungi for degrading lignocellulosic biomass remains less explored. In this study, buffalo rumen inocula were enriched and acclimatized to improve lignocellulolytic hydrolysis activity. Two consortia were established: the anaerobic fungi consortium (AFC), selectively enriched for fungi, and the anaerobic lignocellulolytic microbial consortium (ALMC). The consortia were utilized to create five distinct microbial cocktails-AF0, AF20, AF50, AF80, and AF100. These cocktails were formulated based on varying of AFC and ALMC by weights (w/w). Methane production from each cocktail of lignocellulosic biomasses (cassava pulp and oil palm residues) was evaluated. The highest methane yields of CP, EFB, and MFB were obtained at 337, 215, and 54 mL/g VS, respectively. Cocktails containing a mix of anaerobic fungi, hydrolytic bacteria (Sphingobacterium sp.), syntrophic bacteria (Sphaerochaeta sp.), and hydrogenotrophic methanogens produced 2.1-2.6 times higher methane in cassava pulp and 1.1-1.2 times in oil palm empty fruit bunch compared to AF0. All cocktails effectively produced methane from oil palm empty fruit bunch due to its lipid content. However, methane production ceased after 3 days when oil palm mesocarp fiber was used, due to long-chain fatty acid accumulation. Anaerobic fungi consortia showed effective lignocellulosic and starchy biomass degradation without inhibition due to organic acid accumulation. These findings underscore the potential of tailored microbial cocktails for enhancing methane production from diverse lignocellulosic substrates.

Microbial community dynamics and functional potentials in the conversion of oil palm wastes into biomethane

Oil palm processing generates substantial waste materials rich in organic content, posing various environmental challenges. Anaerobic digestion (AD), particularly for palm oil mill effluent (POME), offers a sustainable solution, by converting waste into valuable biomethane for thermal energy or electricity generation. The synergistic activities of the AD microbiota directly affect the biomethane production, and the microbial community involved in biomethane production in POME anaerobic digestion has been reported. The composition of bacterial and archaeal communities varies under different substrate and physicochemical conditions. This review discusses the characteristics of POME, explores the microbial members engaged in each stage of AD, and elucidates the impacts of substrate and physicochemical conditions on the microbial community dynamics, with a specific focus on POME. Finally, the review outlines current research needs and provides future perspectives on optimizing the microbial communities for enhanced biomethane production from oil palm wastes.

Characterization of physicochemical parameters and bacterial diversity of composted organic food wastes in Dubai

Composting favours recycling organic waste and producing an end product with high bioenergy potential and significant nutritional value for the soil. Analysing composted organic waste prepared in Dubai, a region with a desertic climate and a unique environment is essential since environmental conditions can greatly affect the physicochemical and biological soil properties and no studies in the Gulf region have been published yet on that process. This study analysed twelve different compost samples prepared in well ventilated wooden chambers, using home-generated organic wastes following the hot aerobic composting method for a duration of three months. The physicochemical parameters, measured at the end of the study, revealed that organic matter, electrical conductivity and pH were within the standard ranges while moisture content was low. Concerning macronutrients, most of the samples were within the standard range for carbon, potassium and sodium, while they were poor in phosphorous and nitrogen. Metagenomic analysis with Illumina MiSeq revealed the abundance of Firmicutes (30.35%), followed by Bacteroidota (26.69%), Proteobacteria (21.47%), and Actinobacteriota (11.17%). The phylum Planctomycetota, solely detected in compost and known to have a significant impact on soil ecosystem and decomposition of organic matter, was reported at a relatively significant level (2.35%). The Clostridia class, efficient in degrading cellulose, was described at high levels compared to other studies. The composting project succeeded in generating a healthy soil but lengthening the duration will allow the samples to fully decompose and therefore increase the total available nitrogen and phosphorus to meet the criteria of a typical mature compost. Various microbial consortia helped in the decomposition process. The qualitative information collected in this study will help in improving the composting technology to favour its utilization by a larger public in the Gulf region.

Advantages and Limitations of 16S rRNA Next-Generation Sequencing for Pathogen Identification in the Diagnostic Microbiology Laboratory: Perspectives from a Middle-Income Country

Bacterial culture and biochemical testing (CBtest) have been the cornerstone of pathogen identification in the diagnostic microbiology laboratory. With the advent of Sanger sequencing and later, next-generation sequencing, 16S rRNA next-generation sequencing (16SNGS) has been proposed to be a plausible platform for this purpose. Nevertheless, usage of the 16SNGS platform has both advantages and limitations. In addition, transition from the traditional methods of CBtest to 16SNGS requires procurement of costly equipment, timely and sustainable maintenance of these platforms, specific facility infrastructure and technical expertise. All these factors pose a challenge for middle-income countries, more so for countries in the lower middle-income range. In this review, we describe the basis for CBtest and 16SNGS, and discuss the limitations, challenges, advantages and future potential of using 16SNGS for bacterial pathogen identification in diagnostic microbiology laboratories of middle-income countries.