<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Samson, Rachel</style></author><author><style face="normal" font="default" size="100%">Shah, Manan</style></author><author><style face="normal" font="default" size="100%">Yadav, Rakeshkumar</style></author><author><style face="normal" font="default" size="100%">Sarode, Priyanka</style></author><author><style face="normal" font="default" size="100%">Rajput, Vinay</style></author><author><style face="normal" font="default" size="100%">Dastager, Syed G.</style></author><author><style face="normal" font="default" size="100%">Dharne, Mahesh S.</style></author><author><style face="normal" font="default" size="100%">Khairnar, Krishna</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Metagenomic insights to understand transient influence of Yamuna River on taxonomic and functional aspects of bacterial and archaeal communities of River Ganges</style></title><secondary-title><style face="normal" font="default" size="100%">Science of the Total Environment</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Confluence zone</style></keyword><keyword><style  face="normal" font="default" size="100%">Ganges</style></keyword><keyword><style  face="normal" font="default" size="100%">Metagenomics</style></keyword><keyword><style  face="normal" font="default" size="100%">Transient influence</style></keyword><keyword><style  face="normal" font="default" size="100%">Yamuna</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">JUL</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">674</style></volume><pages><style face="normal" font="default" size="100%">288-299</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;River confluences are interesting ecosystems to investigate for their microbial community structure and functional potentials. River Ganges is one of the most important and holy river of India with great mythological history and religious significance. The Yamuna River meets Ganges at the Prayagraj (formerly known as Allahabad), India to form a unique confluence. The influence of Yamuna River on taxonomic and functional aspects of microbiome at this confluence and its downstream, remains unexplored. To unveil this dearth, whole metagenome sequencing of the microbial (bacterial and archaeal) community from the sediment samples of December 2017 sampling expedition was executed using high throughput MinION technology. Results revealed differences in the relative abundance of bacterial and archaeal communities across the confluence. Grouped by the confluence, a higher abundance of Proteobacteria and lower abundance of Bacteroidetes and Firnacutes was observed for Yamuna River (G15Y) and at immediate downstream of confluence of Ganges (G15DS), as compared to the upstream, confluence, and farther downstream of confluence. A similar trend was observed for archaeal communities with a higher abundance of Euryarchaeoto in G15Y and G15DS, indicating Yamuna River's influence. Functional gene(s) analysis revealed the influence of Yamuna River on xenobiotic degradation, resistance to toxic compounds, and antibiotic resistance interceded by the autochthonous microbes at the confluence and succeeding downstream locations. Overall, similar taxonomic and functional profiles of microbial communities before confluence (upstream of Ganges) and farther downstream of confluence, suggested a transient influence of Yamuna River. Our study is significant since it may be foundational basis to understand impact of Yamuna River and also rare event of mass bathing on the microbiome of River Ganges. Further investigation would be required to understand, the underlying cause behind the restoration of microbial profiles post-confluence farther zone, to unravel the rejuvenation aspects of this unique ecosystem. (C) 2019 Elsevier B.A. All rights reserved.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">Foreign</style></custom3><custom4><style face="normal" font="default" size="100%">4.610</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Singh, Prateek</style></author><author><style face="normal" font="default" size="100%">Ujjainiya, Rajat</style></author><author><style face="normal" font="default" size="100%">Prakash, Satyartha</style></author><author><style face="normal" font="default" size="100%">Naushin, Salwa</style></author><author><style face="normal" font="default" size="100%">Sardana, Viren</style></author><author><style face="normal" font="default" size="100%">Bhatheja, Nitin</style></author><author><style face="normal" font="default" size="100%">Singh, Ajay Pratap</style></author><author><style face="normal" font="default" size="100%">Barman, Joydeb</style></author><author><style face="normal" font="default" size="100%">Kumar, Kartik</style></author><author><style face="normal" font="default" size="100%">Gayali, Saurabh</style></author><author><style face="normal" font="default" size="100%">Khan, Raju</style></author><author><style face="normal" font="default" size="100%">Rawat, Birendra Singh</style></author><author><style face="normal" font="default" size="100%">Tallapaka, Karthik Bharadwaj</style></author><author><style face="normal" font="default" size="100%">Anumalla, Mahesh</style></author><author><style face="normal" font="default" size="100%">Lahiri, Amit</style></author><author><style face="normal" font="default" size="100%">Kar, Susanta</style></author><author><style face="normal" font="default" size="100%">Bhosale, Vivek</style></author><author><style face="normal" font="default" size="100%">Srivastava, Mrigank</style></author><author><style face="normal" font="default" size="100%">Mugale, Madhav Nilakanth</style></author><author><style face="normal" font="default" size="100%">Pandey, C. P.</style></author><author><style face="normal" font="default" size="100%">Khan, Shaziya</style></author><author><style face="normal" font="default" size="100%">Katiyar, Shivani</style></author><author><style face="normal" font="default" size="100%">Raj, Desh</style></author><author><style face="normal" font="default" size="100%">Ishteyaque, Sharmeen</style></author><author><style face="normal" font="default" size="100%">Khanka, Sonu</style></author><author><style face="normal" font="default" size="100%">Rani, Ankita</style></author><author><style face="normal" font="default" size="100%">Promila</style></author><author><style face="normal" font="default" size="100%">Sharma, Jyotsna</style></author><author><style face="normal" font="default" size="100%">Seth, Anuradha</style></author><author><style face="normal" font="default" size="100%">Dutta, Mukul</style></author><author><style face="normal" font="default" size="100%">Saurabh, Nishant</style></author><author><style face="normal" font="default" size="100%">Veerapandian, Murugan</style></author><author><style face="normal" font="default" size="100%">Venkatachalam, Ganesh</style></author><author><style face="normal" font="default" size="100%">Bansal, Deepak</style></author><author><style face="normal" font="default" size="100%">Gupta, Dinesh</style></author><author><style face="normal" font="default" size="100%">Halami, Prakash M.</style></author><author><style face="normal" font="default" size="100%">Peddha, Muthukumar Serva</style></author><author><style face="normal" font="default" size="100%">Veeranna, Ravindra P.</style></author><author><style face="normal" font="default" size="100%">Pal, Anirban</style></author><author><style face="normal" font="default" size="100%">Singh, Ranvijay Kumar</style></author><author><style face="normal" font="default" size="100%">Anandasadagopan, Suresh Kumar</style></author><author><style face="normal" font="default" size="100%">Karuppanan, Parimala</style></author><author><style face="normal" font="default" size="100%">Rahman, Syed Nasar</style></author><author><style face="normal" font="default" size="100%">Selvakumar, Gopika</style></author><author><style face="normal" font="default" size="100%">Venkatesan, Subramanian</style></author><author><style face="normal" font="default" size="100%">Karmakar, Malay Kumar</style></author><author><style face="normal" font="default" size="100%">Sardana, Harish Kumar</style></author><author><style face="normal" font="default" size="100%">Kothari, Anamika</style></author><author><style face="normal" font="default" size="100%">Parihar, Devendra Singh</style></author><author><style face="normal" font="default" size="100%">Thakur, Anupma</style></author><author><style face="normal" font="default" size="100%">Saifi, Anas</style></author><author><style face="normal" font="default" size="100%">Gupta, Naman</style></author><author><style face="normal" font="default" size="100%">Singh, Yogita</style></author><author><style face="normal" font="default" size="100%">Reddu, Ritu</style></author><author><style face="normal" font="default" size="100%">Gautam, Rizul</style></author><author><style face="normal" font="default" size="100%">Mishra, Anuj</style></author><author><style face="normal" font="default" size="100%">Mishra, Avinash</style></author><author><style face="normal" font="default" size="100%">Gogeri, Iranna</style></author><author><style face="normal" font="default" size="100%">Rayasam, Geethavani</style></author><author><style face="normal" font="default" size="100%">Padwad, Yogendra</style></author><author><style face="normal" font="default" size="100%">Patial, Vikram</style></author><author><style face="normal" font="default" size="100%">Hallan, Vipin</style></author><author><style face="normal" font="default" size="100%">Singh, Damanpreet</style></author><author><style face="normal" font="default" size="100%">Tirpude, Narendra</style></author><author><style face="normal" font="default" size="100%">Chakrabarti, Partha</style></author><author><style face="normal" font="default" size="100%">Maity, Sujay Krishna</style></author><author><style face="normal" font="default" size="100%">Ganguly, Dipyaman</style></author><author><style face="normal" font="default" size="100%">Sistla, Ramakrishna</style></author><author><style face="normal" font="default" size="100%">Balthu, Narender Kumar</style></author><author><style face="normal" font="default" size="100%">Kumar, Kiran A.</style></author><author><style face="normal" font="default" size="100%">Ranjith, Siva</style></author><author><style face="normal" font="default" size="100%">Kumar, B. Vijay</style></author><author><style face="normal" font="default" size="100%">Jamwal, Piyush Singh</style></author><author><style face="normal" font="default" size="100%">Wali, Anshu</style></author><author><style face="normal" font="default" size="100%">Ahmed, Sajad</style></author><author><style face="normal" font="default" size="100%">Chouhan, Rekha</style></author><author><style face="normal" font="default" size="100%">Gandhi, Sumit G.</style></author><author><style face="normal" font="default" size="100%">Sharma, Nancy</style></author><author><style face="normal" font="default" size="100%">Rai, Garima</style></author><author><style face="normal" font="default" size="100%">Irshad, Faisal</style></author><author><style face="normal" font="default" size="100%">Jamwal, Vijay Lakshmi</style></author><author><style face="normal" font="default" size="100%">Paddar, Masroor Ahmad</style></author><author><style face="normal" font="default" size="100%">Khan, Sameer Ullah</style></author><author><style face="normal" font="default" size="100%">Malik, Fayaz</style></author><author><style face="normal" font="default" size="100%">Ghosh, Debashish</style></author><author><style face="normal" font="default" size="100%">Thakkar, Ghanshyam</style></author><author><style face="normal" font="default" size="100%">Barik, S. K.</style></author><author><style face="normal" font="default" size="100%">Tripathi, Prabhanshu</style></author><author><style face="normal" font="default" size="100%">Satija, Yatendra Kumar</style></author><author><style face="normal" font="default" size="100%">Mohanty, Sneha</style></author><author><style face="normal" font="default" size="100%">Khan, Md Tauseef</style></author><author><style face="normal" font="default" size="100%">Subudhi, Umakanta</style></author><author><style face="normal" font="default" size="100%">Sen, Pradip</style></author><author><style face="normal" font="default" size="100%">Kumar, Rashmi</style></author><author><style face="normal" font="default" size="100%">Bhardwaj, Anshu</style></author><author><style face="normal" font="default" size="100%">Gupta, Pawan</style></author><author><style face="normal" font="default" size="100%">Sharma, Deepak</style></author><author><style face="normal" font="default" size="100%">Tuli, Amit</style></author><author><style face="normal" font="default" size="100%">Chaudhuri, Saumya Ray</style></author><author><style face="normal" font="default" size="100%">Krishnamurthi, Srinivasan</style></author><author><style face="normal" font="default" size="100%">Prakash, L.</style></author><author><style face="normal" font="default" size="100%">Rao, V. Ch</style></author><author><style face="normal" font="default" size="100%">Singh, B. N.</style></author><author><style face="normal" font="default" size="100%">Chaurasiya, Arvindkumar</style></author><author><style face="normal" font="default" size="100%">Chaurasiya, Meera</style></author><author><style face="normal" font="default" size="100%">Bhadange, Mayuri</style></author><author><style face="normal" font="default" size="100%">Likhitkar, Bhagyashree</style></author><author><style face="normal" font="default" size="100%">Mohite, Sharada</style></author><author><style face="normal" font="default" size="100%">Patil, Yogita</style></author><author><style face="normal" font="default" size="100%">Kulkarni, Mahesh</style></author><author><style face="normal" font="default" size="100%">Joshi, Rakesh</style></author><author><style face="normal" font="default" size="100%">Pandya, Vaibhav</style></author><author><style face="normal" font="default" size="100%">Mahajan, Sachin</style></author><author><style face="normal" font="default" size="100%">Patil, Amita</style></author><author><style face="normal" font="default" size="100%">Samson, Rachel</style></author><author><style face="normal" font="default" size="100%">Vare, Tejas</style></author><author><style face="normal" font="default" size="100%">Dharne, Mahesh</style></author><author><style face="normal" font="default" size="100%">Giri, Ashok</style></author><author><style face="normal" font="default" size="100%">Mahajan, Sachin</style></author><author><style face="normal" font="default" size="100%">Paranjape, Shilpa</style></author><author><style face="normal" font="default" size="100%">Sastry, G. Narahari</style></author><author><style face="normal" font="default" size="100%">Kalita, Jatin</style></author><author><style face="normal" font="default" size="100%">Phukan, Tridip</style></author><author><style face="normal" font="default" size="100%">Manna, Prasenjit</style></author><author><style face="normal" font="default" size="100%">Romi, Wahengbam</style></author><author><style face="normal" font="default" size="100%">Bharali, Pankaj</style></author><author><style face="normal" font="default" size="100%">Ozah, Dibyajyoti</style></author><author><style face="normal" font="default" size="100%">Sahu, RaviKumar</style></author><author><style face="normal" font="default" size="100%">Dutta, Prachurjya</style></author><author><style face="normal" font="default" size="100%">Singh, Moirangthem Goutam</style></author><author><style face="normal" font="default" size="100%">Gogoi, Gayatri</style></author><author><style face="normal" font="default" size="100%">Tapadar, Yasmin Begam</style></author><author><style face="normal" font="default" size="100%">Babu, Elapavalooru V. S. S. K.</style></author><author><style face="normal" font="default" size="100%">Sukumaran, Rajeev K.</style></author><author><style face="normal" font="default" size="100%">Nair, Aishwarya R.</style></author><author><style face="normal" font="default" size="100%">Puthiyamadam, Anoop</style></author><author><style face="normal" font="default" size="100%">Valappil, Prajeesh Kooloth</style></author><author><style face="normal" font="default" size="100%">Prasannakumari, Adrash Velayudhan Pillai</style></author><author><style face="normal" font="default" size="100%">Chodankar, Kalpana</style></author><author><style face="normal" font="default" size="100%">Damare, Samir</style></author><author><style face="normal" font="default" size="100%">Agrawal, Ved Varun</style></author><author><style face="normal" font="default" size="100%">Chaudhary, Kumardeep</style></author><author><style face="normal" font="default" size="100%">Agrawal, Anurag</style></author><author><style face="normal" font="default" size="100%">Sengupta, Shantanu</style></author><author><style face="normal" font="default" size="100%">Dash, Debasis</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys</style></title><secondary-title><style face="normal" font="default" size="100%">Computers in Biology and Medicine</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">BBV152</style></keyword><keyword><style  face="normal" font="default" size="100%">Covaxin</style></keyword><keyword><style  face="normal" font="default" size="100%">COVID-19</style></keyword><keyword><style  face="normal" font="default" size="100%">Ensemble methods</style></keyword><keyword><style  face="normal" font="default" size="100%">Infection</style></keyword><keyword><style  face="normal" font="default" size="100%">machine learning</style></keyword><keyword><style  face="normal" font="default" size="100%">SARS-CoV-2</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">JUL</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">146</style></volume><pages><style face="normal" font="default" size="100%">105419</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Data science has been an invaluable part of the COVID-19 pandemic response with multiple applications, ranging from tracking viral evolution to understanding the vaccine effectiveness. Asymptomatic breakthrough infections have been a major problem in assessing vaccine effectiveness in populations globally. Serological discrimination of vaccine response from infection has so far been limited to Spike protein vaccines since whole virion vaccines generate antibodies against all the viral proteins. Here, we show how a statistical and machine learning (ML) based approach can be used to discriminate between SARS-CoV-2 infection and immune response to an inactivated whole virion vaccine (BBV152, Covaxin). For this, we assessed serial data on antibodies against Spike and Nucleocapsid antigens, along with age, sex, number of doses taken, and days since last dose, for 1823 Covaxin recipients. An ensemble ML model, incorporating a consensus clustering approach alongside the support vector machine model, was built on 1063 samples where reliable qualifying data existed, and then applied to the entire dataset. Of 1448 self-reported negative subjects, our ensemble ML model classified 724 to be infected. For method validation, we determined the relative ability of a random subset of samples to neutralize Delta versus wild-type strain using a surrogate neutralization assay. We worked on the premise that antibodies generated by a whole virion vaccine would neutralize wild type more efficiently than delta strain. In 100 of 156 samples, where ML prediction differed from self-reported uninfected status, neutralization against Delta strain was more effective, indicating infection. We found 71.8% subjects predicted to be infected during the surge, which is concordant with the percentage of sequences classified as Delta (75.6%-80.2%) over the same period. Our approach will help in real-world vaccine effectiveness assessments where whole virion vaccines are commonly used.&lt;/p&gt;
</style></abstract><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;
	Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;
	6.698&lt;/p&gt;
</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rajput, Vinay</style></author><author><style face="normal" font="default" size="100%">Samson, Rachel</style></author><author><style face="normal" font="default" size="100%">Yadav, Rakeshkumar</style></author><author><style face="normal" font="default" size="100%">Dastager, Syed</style></author><author><style face="normal" font="default" size="100%">Khairnar, Krishna</style></author><author><style face="normal" font="default" size="100%">Dharne, Mahesh</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Metagenomic mining of Indian river confluence reveal functional microbial community with lignocelluloytic potential</style></title><secondary-title><style face="normal" font="default" size="100%">3 Biotech</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">CAZymes</style></keyword><keyword><style  face="normal" font="default" size="100%">Confluence (Sangam)</style></keyword><keyword><style  face="normal" font="default" size="100%">Lignocellulosic</style></keyword><keyword><style  face="normal" font="default" size="100%">River Ganges</style></keyword><keyword><style  face="normal" font="default" size="100%">River Yamuna</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">JUN</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">132</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;
	Microbial carbohydrate-active enzymes (CAZyme) can be harnessed for valorization of Lignocellulosic biomass (LCB) to value-added chemicals/products. The two Indian Rivers Ganges and the Yamuna having different origins and flow, face accumulation of carbon-rich substrates due to the discharge of wastewater from adjoining paper and pulp industries, which could potentially contribute to the natural enrichment of LCB utilizing genes, especially at their confluence. We analyzed CAZyme diversity in metagenomic datasets across the sacred confluence of the Rivers Ganges and Yamuna. Functional annotation using CAZyme database identified a total of 77,815 putative genes with functional domains involved in the catalysis of carbohydrate degradation or synthesis of glycosidic bonds. The metagenomic analysis detected similar to 41% CAZymes catalyzing the hydrolysis of lignocellulosic biomass polymers- cellulose, hemicellulose, lignin, and pectin. The Beta diversity analysis suggested higher CAZyme diversity at downstream region of the river confluence, which could be useful niche for culture-based studies. Taxonomic origin for CAZymes revealed the predominance of bacteria (97%), followed by archaea (1.67%), Eukaryota (0.63%), and viruses (0.7%). Metagenome guided CAZyme diversity of the microflora spanning across the confluence of Ganges-Yamuna River, could be harnessed for biomass and bioenergy applications.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;
	Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;
	2.893&lt;/p&gt;
</style></custom4></record></records></xml>