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Functional Metagenomics in Environmental Bioremediation
Published in Vineet Kumar, Vinod Kumar Garg, Sunil Kumar, Jayanta Kumar Biswas, Omics for Environmental Engineering and Microbiology Systems, 2023
Menaka Devi Salam, Shalini Porwal, Arti Mishra, Ajit Varma
The knowledge about marine microbial ecosystems has greatly been enhanced through metagenomic data, and much more information can still be explored using metagenomics. So far, sequencing projects on large scale to unravel the vast complexity and diversity of marine microbial ecosystem have been carried out through major projects such as Global Ocean Survey (Venter et al., 2004), Tara Oceans (Pesant et al., 2015), and GEOTRACES (Anderson et al., 2014; Biller et al., 2018), and considerable progress has been made in understanding the diversity and complexity of the microbial populations in the marine ecosystem. Plastic waste is a major pollutant in the marine environment. Metagenomic analyses of plastic wastes from coastal regions of the marine environment have shown the effect of major and long-term plastic waste contamination on the benthic microbial community. Metagenomic library and sequence analysis of the biofilms on plastic waste surfaces revealed the dominance of sulfate-reducing bacteria with an enriched gene pool of enzymes involved in plastic degradation, such as esterases and depolymerases (Pinnell and Turner, 2019).
Role of river discharge and warming on ocean acidification and pCO2 levels in the Bay of Bengal
Published in Tellus B: Chemical and Physical Meteorology, 2021
In the CB region, pH and pCO2 data are collected in BOBOA buoy, deployed at 15°N and 90°E (Sutton et al., 2017). In order to compare the estimated pH and pCO2 with that of measured, the monthly mean measured data at BOBOA is compared with model derived data during 2013–2015, within period of our study, in Fig. S6, supplementary material. The pattern of temperature and salinity between monthly mean measured and satellite data were close to each other. The estimated pH and pCO2 were deviated from measured with root mean square error (RMSE) of ±0.015 and ±16 µatm respectively. Furthermore, pH and pCO2 were computed along the I09 transect of World Ocean Circulation Experiment Repeat Hydrography program during 2016, and GEOTRACES cruise data during 2015 (Fig. S7, supplementary material). These data were not used to construct the multiple regression equations. The comparison of the measured and estimated pH revealed the RMSE ±0.018 and 15 µatm for pH and pCO2 respectively (Fig. S7, supplementary material).