Contribution of Microbes in the Renovation of Wetlands

Chandra, Prem; Enespa,; Kumar, Mukesh

doi:10.1007/978-981-13-7665-8_8

Cited by 8 publications

(3 citation statements)

References 136 publications

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“…It successfully came up with 4 potent bacteria for PPO's activity. Several investigations stated the microbial structures and functions associated with wetlands are important and interconnected with various ecological services, including biogeochemical cycling, restoration, survival, biodegradation and specific transformations such as nitrification, mineralization, absorption, humification, as well as the sustainability of wetlands (Chandra et al, 2020;Singh et al, 2020; Urakawa and Bernhard, 2017; Zhu et al, 2022). In general, the microbial communities of the wetland are well preferred due to their higher adaptability and ability to produce many useful enzymes and metabolites (Panis and Rompel, 2022).…”

Section: Molecular Identification Of Organismsmentioning

confidence: 99%

Isolation and molecular identification of polyphenol oxidase and associated enzyme production from Bacillus spp.

Vivekanandhan,

Arockiam Jeyasundar,

Mani

et al. 2024

JANS

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Polyphenol oxidase (PPO) causes browning in food by converting phenolics to quinone, rendering unwanted organoleptic and nutritional changes. As a result, it represents a major problem in the food industry which must be addressed to reduce food waste and maximize food quality and shelf life despite PPOs importance in various industrial processes. The present study aimed to isolate Bacillus sp., evaluate their PPO production and related enzymes, and identify them through 16S rRNA sequencing. The selected strains isolated from soil were induced, and the cultures were grown OD600 of 1.0 (1x108 CFU) for evaluation. The study identified various types of Bacillus sp. as the source of PPO, tyrosinase and catecholase production. The data revealed that the strains Bacillus cereus, Bacillus albus, Bacillus subtilis, Bacillus thuringenesis and Bacillus tropicus exhibited PPO, tyrosinase and catecholase enzyme production with a maximum of 104.2 IU/ml, 68.61 IU/ml and 61.59 IU/ml respectively. Enzyme activity differed between organisms and substrate activities, which must be standardized. Despite the importance of PPO and related enzymes to browning reactions and food processing, there has been limited progress in this area. Therefore, taking a different approach to provoke more concerns is probably necessary.

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Section: Molecular Identification Of Organismsmentioning

confidence: 99%

Isolation and molecular identification of polyphenol oxidase and associated enzyme production from Bacillus spp.

Vivekanandhan,

Arockiam Jeyasundar,

Mani

et al. 2024

JANS

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“…Wetlands are among the most productive ecosystems, hosting an array of ecosystem goods and services like sustaining biodiversity, ensuring livelihood, and nutritional security of millions of people (Sarkar and Borah, 2018;Sarkar et al, 2020). These wetlands play a vital role in regulating the Earth's climate (Megonigal and Neubauer, 2019) and biogeochemical cycle (Cheung et al, 2018;Iliev et al, 2019), including organic matter decomposition, nutrient cycling, and greenhouse gas emissions (Sánchez, 2017;Zhang et al, 2019;Chandra and Kumar, 2020). The composition and functioning of microbiotaa decomposer of the ecosystem-depend highly on microbiotaenvironment interaction (Merkley et al, 2004;Cao et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Three Prokaryote Primers for Identification of Prokaryote Community Structure and Their Abode Preference in Three Distinct Wetland Ecosystems

et al. 2021

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The ultimate role of prokaryote (bacteria and archaea), the decomposer of the wetland ecosystem, depends on its community structure and its interaction with the environment. The present study has used three universal prokaryote primers to compare prokaryote community structure and diversity of three distinctly different wetlands. The study results revealed that α-diversity indices and phylogenetic differential abundance patterns did not differ significantly among primers, but they did differ significantly across wetlands. Microbial community composition revealed a distinct pattern for each primer in each wetland. Overall comparison of prokaryote communities in sediments of three wetlands revealed the highest prokaryote richness and diversity in Bhomra (freshwater wetland) followed by Malencho (brackish-water wetland) and East Kolkata wetland (EKW) (sewage-fed wetland). Indicator genus analysis identified 21, 4, and 29 unique indicator genera, having preferential abode for Bhomra, EKW, and Malencho, respectively. Prediction of potential roles of these microbes revealed a preference for sulfate-reducing microbes in Malencho and methanogens in Bhomra. The distinct phylogenetic differential abundance pattern, microbial abode preference, and their potential functional role predict ecosystem variables shaping microbial diversity. The variation in community composition of prokaryotes in response to ecosystem variables can serve as the most sensitive bioindicator of wetland ecosystem assessment and management.

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“…In Asia, approximately 5000 km 2 of wetland area is vanished in every year due to human activities such as agriculture, expansion of built-up area, damming etc. (Singh and Sinha, 2019;Chandra and Kumar, 2020) and remaining 50% of the wetlands are under threat and continuously degraded due to those factors (Acreman et al, 2007;Singh and Sinha, 2019). According to Ramsar Convention on wetlands (2018), 35% of the global wetlands lost their existence between 1970-2015.…”

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confidence: 99%

Finding Out Suitable Index for Wetland Mapping in Barind Plain of India and Predicting Dynamics of Its Area and Depth

Singha

Pal

2021

Preprint

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Remote Sensing and GIS play an important role in mapping and monitoring natural resources and their management. The present study attempts to delineate wetland in the lower Tangon river basin in the Barind flood plain region using suitable water body extraction indices. The main objectives of this present study are mapping and monitoring the flood plains wetlands along with the future status of wetland areas of 2028 and 2038 using the advanced Artificial Neural Network-based Cellular Automata (ANN-CA) model. Apart from wetland area prediction, wetland depth simulation and prediction are also carried out using statistical (Adaptive Exponential Smoothing) as well as advanced machine learning algorithms such as Bagging, Random subspace, Random forest, Support vector machine, etc. for the year 2028. The result shows a remarkable change in the overall wetland area in the upcoming two decades. The small wetland patches away from the master stream are expected to dry out during the forecast period, where the major wetland patches nearer to the master stream with greater depth are rather sustainable but their depth of water may be reduced in the next decades. All models show satisfactory performance for wetland depth mapping, but the Random subspace model was identified as the best-suited depth predicting method and machine learning models explored better results that adaptive exponential smoothing. This recent study will definitely be very helpful for the policymakers for managing wetland landscape as well as the natural environment.

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Contribution of Microbes in the Renovation of Wetlands

Cited by 8 publications

References 136 publications

Isolation and molecular identification of polyphenol oxidase and associated enzyme production from Bacillus spp.

Isolation and molecular identification of polyphenol oxidase and associated enzyme production from Bacillus spp.

Evaluation of Three Prokaryote Primers for Identification of Prokaryote Community Structure and Their Abode Preference in Three Distinct Wetland Ecosystems

Finding Out Suitable Index for Wetland Mapping in Barind Plain of India and Predicting Dynamics of Its Area and Depth

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