Evidence map›Paper›PMID 39001994›Full record

ArticleMolecular biology reports2024

Molecular identification and GC-MS analysis of a newly isolated novel bacterium (Lysinibacillus sp. VCRC B655) for mosquito control.

Sahadiya Mandodan, Kakhuangailiu Gangmei, Abhisubesh Vijayakumar, Aneha Kunnikuruvan, Jibi Lukose, Hemaladkshmi Padmanaban, Bhagyashree Bora, Mathivanan Ashokkumar, Geetha Irudayaraj, Poopathi Subbiah

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Article in Molecular biology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sahadiya MandodanUnit of Microbiology and Immunology (UMI), Department of Health Research (Ministry of Health & Family Welfare, Govt. of India), ICMR-Vector Control Research Centre (VCRC), Medical Complex Indira Nagar, Puducherry, 605006, India.
Kakhuangailiu GangmeiUnit of Microbiology and Immunology (UMI), Department of Health Research (Ministry of Health & Family Welfare, Govt. of India), ICMR-Vector Control Research Centre (VCRC), Medical Complex Indira Nagar, Puducherry, 605006, India.
Abhisubesh VijayakumarUnit of Microbiology and Immunology (UMI), Department of Health Research (Ministry of Health & Family Welfare, Govt. of India), ICMR-Vector Control Research Centre (VCRC), Medical Complex Indira Nagar, Puducherry, 605006, India.
Aneha KunnikuruvanUnit of Microbiology and Immunology (UMI), Department of Health Research (Ministry of Health & Family Welfare, Govt. of India), ICMR-Vector Control Research Centre (VCRC), Medical Complex Indira Nagar, Puducherry, 605006, India.
Jibi LukoseUnit of Microbiology and Immunology (UMI), Department of Health Research (Ministry of Health & Family Welfare, Govt. of India), ICMR-Vector Control Research Centre (VCRC), Medical Complex Indira Nagar, Puducherry, 605006, India.
Hemaladkshmi PadmanabanUnit of Microbiology and Immunology (UMI), Department of Health Research (Ministry of Health & Family Welfare, Govt. of India), ICMR-Vector Control Research Centre (VCRC), Medical Complex Indira Nagar, Puducherry, 605006, India.
Bhagyashree BoraUnit of Microbiology and Immunology (UMI), Department of Health Research (Ministry of Health & Family Welfare, Govt. of India), ICMR-Vector Control Research Centre (VCRC), Medical Complex Indira Nagar, Puducherry, 605006, India.
Mathivanan AshokkumarUnit of Microbiology and Immunology (UMI), Department of Health Research (Ministry of Health & Family Welfare, Govt. of India), ICMR-Vector Control Research Centre (VCRC), Medical Complex Indira Nagar, Puducherry, 605006, India.
Geetha IrudayarajUnit of Microbiology and Immunology (UMI), Department of Health Research (Ministry of Health & Family Welfare, Govt. of India), ICMR-Vector Control Research Centre (VCRC), Medical Complex Indira Nagar, Puducherry, 605006, India.
Poopathi SubbiahUnit of Microbiology and Immunology (UMI), Department of Health Research (Ministry of Health & Family Welfare, Govt. of India), ICMR-Vector Control Research Centre (VCRC), Medical Complex Indira Nagar, Puducherry, 605006, India. Subbiahpoopathi@rediffmail.com.ORCID http://orcid.org/0000-0002-2366-3689

Funding

Ministry of social justice and empowerment, India UGC-Ref. No: 191620027860
6 · The paper itself

Abstract

backgroundMosquitoes are widespread globally and have contributed to transmitting pathogens to humans and the burden of vector-borne diseases. They are effectively controlled at their larval stages by biocontrol agents. Unravelling natural sources for microbial agents can lead us to novel potential candidates for managing mosquito-borne diseases. In the present study, an attempt was made to isolate a novel bacterium from the field-collected agricultural soil for larvicidal activity and promising bacterial metabolites for human healthcare. METHODS AND

resultsField-collected soil samples from the Union territory of Puducherry, India, have been used as the source of bacteria. Isolate VCRC B655 belonging to the genus Lysinibacillus was identified by 16S rRNA gene sequencing and exhibited promising larvicidal activity against different mosquito species, including Culex (Cx.) quinquefasciatus, Anopheles (An.) stephensi, and Aedes (Ae.) aegypti. The lethal concentration (LC) of Lysinibacillus sp. VCRCB655 was observed to be high for Cx. quiquefasciatus: LC

conclusionsA new bacterial isolate, Lysinibacillus sp. VCRC B655 has been identified with significant larvicidal activity against mosquito larvae with no observed in non-target organisms. GC-MS analysis revealed diverse bioactive compounds with substantial biological applications. In conclusion, Lysinibacillus sp. VCRC B655 showed promise as an alternative biocontrol agent for mosquito vector control, with additional biological applications further enhancing its significance.

Indexed as

BacillaceaeGas Chromatography-Mass SpectrometryLarvaMosquito ControlRNA, Ribosomal, 16SAedesAnimalsAnophelesCulexIndiaInsecticidesPhylogenySoil MicrobiologyInsecticidesRNA, Ribosomal, 16SGC/MSLysinibacillusMosquitocidal bacteriaSecondary metabolites

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.