Amrita Panda

Dr. Amrita Panda

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Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 August 2022 in Metabolites
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RASHI MIGLANIRASHI MIGLANI
RASHI MIGLANI
Nagma ParveenNagma Parveen
Nagma Parveen
AKAnkit Kumar
Ankit Kumar
MAMohd. Arif Ansari
Mohd. Arif Ansari
SKSoumya Khanna
Soumya Khanna
Mohd Nazam AnsariMohd Nazam Ansari
Mohd Nazam Ansari
The ability of microorganisms to detoxify xenobiotic compounds allows them to thrive in a toxic environment using carbon, phosphorus, sulfur, and nitrogen from the available sources. Biotransformation is the most effective and useful metabolic process to degrade xenobiotic compounds. Microorganisms have an exceptional ability due to particular genes, enzymes, and degradative mechanisms. Microorganisms such as bacteria and fungi have unique properties that enable them to partially or completely metabolize the xenobiotic substances in various ecosystems.There are many cutting-edge approaches available to understand the molecular mechanism of degradative processes and pathways to decontaminate or change the core structure of xenobiotics in nature. These methods examine microorganisms, their metabolic machinery, novel proteins, and catabolic genes. This article addresses recent advances and current trends to characterize the catabolic genes, enzymes and the techniques involved in combating the threat of xenobiotic compounds using an eco-friendly approach.

22 February 2014 in Antonie van Leeuwenhoek
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APAmrita Panda
Amrita Panda
Satpal Singh BishtSatpal Singh Bisht
Satpal Singh Bisht
SDSurajit DeMondal
Surajit DeMondal
SNSenthil-Kumar Nachimuthu
Senthil-Kumar Nachimuthu
GGG. Gurusubramanian
G. Gurusubramanian
APAshok Kumar Panigrahi
Ashok Kumar Panigrahi

10 November 2016 in AMB Express
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Journal Article
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APAmrita Panda
Amrita Panda
Satpal Singh BishtSatpal Singh Bisht
Satpal Singh Bisht
SMSurajit De Mandal
Surajit De Mandal
SNSenthil-Kumar Nachimuthu
Senthil-Kumar Nachimuthu
Bacterial and archaeal diversity of two alkaline Indian hot springs, Jakrem (Meghalaya) and Yumthang (Sikkim), were studied. Thirteen major bacterial phyla were identified of which Firmicutes, Chloroflexi and Thermi were dominant in Jakrem and Proteobacteria in Yumthang. The dominant genera were Clostridium, Chloroflexus and Meiothermus at Jakrem (water temperature 46 °C, pH 9) and Thiobacillus, Sulfuritalea at Yumthang (water temperature 39 °C, pH 8) hot springs. The four Euryarchaeota taxa that were observed in both the hot springs were Methanoculleus, Methanosaeta, Methanosarcina and Methanocorposculum. Elstera litoralis, Thiovirga sp., Turneriella sp. were observed for the first time in association with hot springs along with Tepidibacter sp., Ignavibacterium sp., Teribacillus sp. and Dechloromonas sp. Individual bacterial phyla were found to be specifically correlated with certain physico-chemical factors such as temperature, dissolved SiO2, elemental S, total sulphide, calcium concentrations in hot spring water. Bacterial reads involved in sulfur cycle were identified in both16S rRNA gene library and sulfur metabolism may play key physiological functions in this hot spring. Members within Desulfobacterales and Thermodesulfovibrionaceae were identified and hypothesized their role in regulating sulfur cycle. The presence of many taxonomically unsolved sequences in the 16S rRNA gene tag datasets from these hot springs could be a sign of novel microbe richness in these less known hot water bodies of Northeastern India.

1 June 2015 in Genomics Data
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APAmrita Panda
Amrita Panda
Satpal Singh BishtSatpal Singh Bisht
Satpal Singh Bisht
SNSenthil-Kumar Nachimuthu
Senthil-Kumar Nachimuthu
SMSurajit De Mandal
Surajit De Mandal
Jakrem hot water spring is located in the West Khasi Hill District of the state of Meghalaya, and is one of the most popular hot springs of the state. There is a populist belief among the inhabitants and people that the hot spring water has got curative properties against various skin ailments. This is the first report on V3 hyper-variable region of 16S rDNA metagenome sequence employing Illumina platform to profile the microbial community of this less known hot spring from Meghalaya, India. Metagenome comprised of 10, 74,120 raw sequences with a sequence length of 151 bp and 56.35% G + C content. Metagenome sequence information is now available at NCBI, SRA database accession no. SRP056897. A total of 8, 77, 364 pre-processed reads were clustered into 694 OTUs (operational taxonomical units) comprising of 14 bacterial phyla including unknown phylum demonstrating 49 families. Hot spring bacterial community is dominated by Firmicutes (61.60%), Chloroflexi (21.37%), Cyanobacteria (12.96%) and unclassified bacteria (1.2%) respectively.

9 September 2022 in Sustainability
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APAmrita Panda
Amrita Panda
RMRojita Mishra
Rojita Mishra
JDJOYSTU DUTTA
JOYSTU DUTTA
ZWZishan Ahmad Wani
Zishan Ahmad Wani
SPshreekar pant
shreekar pant
Satpal Singh BishtSatpal Singh Bisht
Satpal Singh Bisht
The implementation of cutting-edge agricultural practices provides tools and techniques to drive climate-smart agriculture, reduce carbon emissions, and lower the carbon footprint. The alteration of climate conditions due to human activities poses a serious threat to the global agricultural systems. Greenhouse gas emissions (GHG) from organic waste management need urgent attention to optimize conventional composting strategies for organic wastes. The addition of various inorganic materials such as sawdust and fly ash mitigate GHG during the vermicomposting process. This paper critically investigates the factors responsible for GHG emissions during vermicomposting so that possible threats can be managed.

20 August 2017 in Big Data Analytics
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Journal Article
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APAmrita Panda
Amrita Panda
SBSatpal Singh Bisht
Satpal Singh Bisht
BKBodh Raj Kaushal
Bodh Raj Kaushal
SMSurajit De Mandal
Surajit De Mandal
NKNachimuthu Senthil Kumar
Nachimuthu Senthil Kumar
BBBharat C. Basistha
Bharat C. Basistha
Hot springs harbor rich bacterial diversity that could be the source of commercially important enzymes, antibiotics and many more products. Most of the hot springs present in Northeast of India are unexplored and their microbial diversity analysis could be of great interest to facilitate various industrial, agricultural and medicinal applications. The present study is an attempt to analyze the comprehensive bacterial diversity of Yumthang hot spring, Sikkim located at an altitude of 11, 800 ft. with a close proximity of Tibet 27° 47′ 30″ N 88° 42′ E using culture independent approach i.e. 16S rRNA gene amplicon metagenomic sequencing. The temperature and pH of the hot spring was recorded as 390–410 C and 8 respectively. Metagenome comprised of 1, 381,343 raw sequences with a sequence length of 151 bp and 55.62% G + C content. Metagenome sequence information is submitted at NCBI, SRA database under accession no. SRP057072. A total of 9, 95, 955 pre-processed reads were clustered into 1, 999 representative OTUs (operational taxonomical units) phylogenetically comprising of 17 bacterial phyla including unknown phylum indicating 99 families. Hot spring bacterial community is dominated by Proteobacteria (54.33%), Actinobacteria (32.19%), Firmicutes (6.03%), Bacteroidetes (2.87%) and unclassified bacteria (2.91%) respectively out of the total reads. Several bacterial and archaeal sequences remained taxonomically unclassified, indicating potentially novel microorganisms in this hot spring ecosystem. Metagenomics of this habitat will facilitate identification of microorganisms possessing industrially relevant traits.