Partial characterization of β-glucosidase, β-xylosidase, and α-l-arabinofuranosidase from Jiangella alba DSM 45237 and their potential in lignocellulose-based biorefining

Aytaş, Zeynep Gül; Tunçer, Münir; Kul, Çağrı Seda; Cilmeli, Sümeyye; Aydın, Nurayan; Doruk, Tuğrul; Adıgüzel, Ali Osman

doi:10.1016/j.scp.2022.100900

Cited by 6 publications

(3 citation statements)

References 54 publications

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“…Nocardioides, Nocardiopsis and Marmoricola in Nocardioidaceae are commonly found in various environments such as soil, water, and plant rhizospheres [67][68][69][70] which play important roles in organic matter decomposition, nitrogen cycling, and antibiotic production [71]. Jiangella are capable of producing ß-glucosidase, ß-xylosidase, and a-larabinofuranosidase, which have potential in lignocellulose-based biorefining [72]. Other bacteria, such as Gemmatimonas [73], Bradyrhizobium [74][75][76], Anaeromyxobacter [77], Thiohalomonas [78], and halophilic archaeon including Halococcus [79], Halorubrum [80], Halobiforma [81], and Halomicrobium [82] play key roles in biochemical cycle of organic matter, nitrogen cycling, sulfur-oxidizing.…”

Section: The Effects Of Salinity On Microbial Community Networkmentioning

confidence: 99%

Shifts in Microbial Community Structure and Co-occurrence Network along a Wide Soil Salinity Gradient

Li,

Wang,

et al. 2024

Microorganisms

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The response of microbiomes to salinity has been clarified in different geographic scales or ecosystems. However, how soil microbial community structure and interaction respond to salinity across wide salinity range and climatic region is still unclearly resolved. To address this issue, we examined the microbial community’s composition in saline soils from two climatic regions (coastal wetland and arid desert). Our research confirms that soil salinity had a negative effect on soil nutrient content. Salinity decreased the relative abundance of bacteria, but increased archaea abundance, leading to the shifts from bacteria dominant community to archaea dominant community. Low-water medium-salinity soil (LWMS) had the most complex archaeal community network, whereas for bacteria, the most complex bacterial community network was observed in low-water high-salinity soils (LWHS). Key microbial taxa differed in three salinity gradients. Salinity, soil water content, pH, total nitrogen (TN), and soil organic carbon (SOC) were the main driving factors for the composition of archaeal and bacterial community. Salinity directly affected archaeal community, but indirectly influenced bacteria community through SOC; pH affected archaeal community indirectly through TN, but directly affected bacterial community. Our study suggests that soil salinity dramatically influences diversity, composition, and interactions within the microbial community.

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Section: The Effects Of Salinity On Microbial Community Networkmentioning

confidence: 99%

Shifts in Microbial Community Structure and Co-occurrence Network along a Wide Soil Salinity Gradient

Li,

Wang,

et al. 2024

Microorganisms

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“…However, lignocellulosic bioethanol production is still problematic because of the recalcitrance of the raw materials (Paul & Dutta, 2018). Moreover, by-products that are generated from the pretreatment of lignocellulose can reduce the activity of the enzymes or inhibit microbial growth (Aytaş et al, 2023). Therefore, the determination of the efficient bioethanol producer organisms or available feedstocks can contribute to more effective bioethanol production processes.…”

Section: Introductionmentioning

confidence: 99%

Response surface methodology-based optimization studies about bioethanol production by Candida boidinii from pumpkin residues

Demiray,

Karatay,

Dönmez

2024

Biotech Studies

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For sustainable bioethanol production, the investigation of novel fermentative microorganisms and feedstocks is crucial. In this context, the goals of the current study are suggesting pumpkin residues as new raw material for bioethanol production and investigating the fermentative capacity of the Candida boidinii, which is a newly isolated yeast from sugar factory wastes. Response surface methodology was used to determine the effect of enzyme (cellulase and hemicellulase) concentration and enzymatic hydrolysis time. The maximum bioethanol concentration was 29.19 g/L when fermentation parameters were optimized. However, it is revealed that enzymatic hydrolysis and hydrolysis duration (48-72 h) have significant effects on reducing sugar concentration. The highest reducing sugar was 108.86 g/L when the 20% initial pumpkin residue was hydrolyzed at 37.5 FPU/g substrate cellulase and 37.5 U/mL hemicellulase at the end of 72 h. Under these optimized conditions, the bioethanol production of C. boidinii increased by 22.91% and reached 35.88 g/L. This study shows pumpkin residues are promising feedstocks and C. boidinii is a suitable microorganism for efficient bioethanol production.

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“…In the last five decades, various scientific attemptsincluding the recent ones-have been made at addressing the challenges mentioned above [9, 10, and 11]. For instance, various novel microbial strains have been demonstrated to utilize different readily available growth substrates for Bgl production, such as the fungi, Aspergillus tubingensis, and Trichoderma reesei which utilized maize bran [9] and wheat bran [12], respectively, as well as the actinomycetes Jiangella alba which utilized wheat straw for the same purpose [13]. Similarly, Bgl genes from numerous microbes have been successfully cloned and expressed in efficient host systems for increased enzyme yields and ease of purification.…”

Section: Introductionmentioning

confidence: 99%

Hyper β-glucosidase producer Beauveria bassiana SAN01—optimization of fermentation conditions and evaluation of saccharification potential

Magwaza,

Amobonye,

Bhagwat

et al. 2024

Biomass Conv. Bioref.

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The hyper-production of β-glucosidase by a local strain of Beauveria bassiana under submerged conditions is reported in this study. The initial screening of seven agricultural residues showed that the haulm of Bambara—an underutilized African legume—supported the highest β-glucosidase production; hence, statistical optimization of enzyme production was done using this biomass as the sole carbon source. Plackett–Burman design identified the concentrations of Bambara haulm, KCl, and NaCl as well as agitation speed and incubation time as the most significant factors affecting enzyme production. Subsequently, the central composite design predicted the optimal conditions (Bambara 57 g/L, KCl 302 mg/L, NaCl 154 mg/L, agitation speed 150 rpm, and incubation 223 h) for B. bassiana β-glucosidase production, which were further validated. The generated quadratic model was deemed significant judging from its F-value (201.63), adequate precision ratio (45.74), as well as the R2 (0.9988), adjusted R2 (0.9938), and predicted R2 (0.9195) values. The optimization resulted in a ~5.36-fold increase in enzyme levels from the unoptimized production of ~133 to 711 U/mL. The enzyme was also demonstrated to efficiently hydrolyze cellobiose, converting more than 90% of the substrate to glucose. These results further establish the resourcefulness of the B. bassiana strain for the production of β-glucosidase enzyme, having immense potential, especially in the food and energy industries.

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Partial characterization of β-glucosidase, β-xylosidase, and α-l-arabinofuranosidase from Jiangella alba DSM 45237 and their potential in lignocellulose-based biorefining

Cited by 6 publications

References 54 publications

Shifts in Microbial Community Structure and Co-occurrence Network along a Wide Soil Salinity Gradient

Shifts in Microbial Community Structure and Co-occurrence Network along a Wide Soil Salinity Gradient

Response surface methodology-based optimization studies about bioethanol production by Candida boidinii from pumpkin residues

Hyper β-glucosidase producer Beauveria bassiana SAN01—optimization of fermentation conditions and evaluation of saccharification potential

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