Evidence map›Paper›PMID 41206767›Full record

ArticleJournal of industrial microbiology & biotechnology2024

Bioprospecting and phylogenetic analysis of Priestia flexa AW3: an industrially significant amylase-producing bacterium from unexplored contaminated soil in Layyah.

Sobia Ramzan, Musrat Shaheen, Mohsin Khurshid, Farhat Jabeen, Sara Mahmood, Ayesha Sarwar, Shahzad Ahmad

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Article in Journal of industrial microbiology & biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sobia RamzanDepartment of Zoology, Government College University, Faisalabad, 38000, Pakistan.
Musrat ShaheenInstitute of Microbiology, Government College University, Faisalabad, 38000, Pakistan.ORCID 0009-0000-5455-9174
Mohsin KhurshidInstitute of Microbiology, Government College University, Faisalabad, 38000, Pakistan.
Farhat JabeenDepartment of Zoology, Government College University, Faisalabad, 38000, Pakistan.
Sara MahmoodInstitute of Microbiology, Government College University, Faisalabad, 38000, Pakistan.
Ayesha SarwarInstitute of Microbiology, Government College University, Faisalabad, 38000, Pakistan.
Shahzad AhmadDepartment of Zoology, Government College University, Faisalabad, 38000, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In spite of wonderful industrial applications of microbial enzymes, still most of habitats in various parts of world are unexplored for bioprospecting of industrial potent microbes. This study represents the first bioprospecting effort in Layyah district to explore indigenous bacterial diversity, enzymatic potential, and phylogenetic relationships in untapped contaminated soil habitat. Contaminated soils serve as reservoirs of industrially significant bacteria with unique enzymatic degradation capabilities, offering solutions for sustainable industrial applications and environmental remediation. An effort for comparative bioprospecting-based study for bacterial diversity exhibiting amylase potential across unaddressed contaminated soil samples [industrial, household, poultry, and animal waste (AW)] using qualitative and quantitative methods, was conducted. AW-contaminated soil exhibited the highest bacterial load (2.51 × 1010 CFUs) and amylase activity (51, amylase zones), whereas industrial waste soil showed the lowest CFUs (1.24 × 1010). Household waste soil, however, displayed the greatest Shannon diversity index (H'= 2.192262) for amylase-producing bacteria. Among isolates, Priestia flexa AW3 (OQ446563) demonstrated exceptional amylase production, forming 30 mm hydrolysis zones on starch agar and achieving optimal activity (1.76 ± 0.05 OD; 1.23 ± 0.03 AU/mL) at pH 7 and 37°C after 48 h. Notably, the strain retained enzymatic stability under extreme conditions, temperature up to 50°C, NaCl concentrations (0.5%-10%), and a broad pH range. Phylogenetic analysis via 16S rRNA sequencing confirmed its identity as P. flexa. This study underscores the untapped potential of contaminated soils in Layyah as sources of robust industrial microbes and highlights the value of bioprospecting in discovering novel bacterial strains for biotechnology and environmental sustainability. One-Sentence Summary: Bioprospecting for industrially important bacteria with unique enzymatic potential from untapped habitats is highly needed to solve sever environmental problems.

Indexed as

AmylasesBioprospectingSoil MicrobiologyDNA, BacterialPhylogenyRNA, Ribosomal, 16SSoil PollutantsAmylasesDNA, BacterialRNA, Ribosomal, 16SSoil Pollutantsbioprospectingindigenous bacteriaindustrial potentialphylogeneticssoil habitat

Identifiers

PMID41206767
PMCPMC12640123

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LicenceCC BY-NC-ND
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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.