Influence of xenobiotic contaminants on landfill soil microbial activity and diversity

Pérez-Leblic, M. I.; Turmero, Adriana; Hernández, Manuel; Hernández, Ana Jesús; Pastor, Jesús T.; Ball, Andrew S.; Rodríguez, Jhon James Mora; Arias, Mauricio

doi:10.1016/j.jenvman.2010.07.017

Cited by 44 publications

(20 citation statements)

References 11 publications

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“…Conversely, low diversity was observed within the soil contaminated with hydrocarbons sampled at Neuves-Maison where the 9 isolates clustered within 2 MCs. These differences in isolate diversity could be related to the differing severity of selective pressure of hydrocarbon and raw urban waste [30,42]. However, 3 MTs were observed among the 4 isolates obtained from the hydrocarbon-contaminated soil collected in Paris.…”

Section: Discussionmentioning

confidence: 98%

Diversity among strains of Pseudomonas aeruginosa from manure and soil, evaluated by multiple locus variable number tandem repeat analysis and antibiotic resistance profiles

Youenou

Brothier

Nazaret

2014

Research in Microbiology

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The results of a multiple locus variable number of tandem repeat (VNTR) analysis (MLVA)-based study designed to understand the genetic diversity of soil and manure-borne Pseudomonas aeruginosa isolates, and the relationship between these isolates and a set of clinical and environmental isolates, are hereby reported. Fifteen described VNTR markers were first selected, and 62 isolates recovered from agricultural and industrial soils in France and Burkina Faso, and from cattle and horse manure, along with 26 snake-related isolates and 17 environmental and clinical isolates from international collections, were genotyped. Following a comparison with previously published 9-marker MLVA schemes, an optimal 13-marker MLVA scheme (MLVA13-Lyon) was identified that was found to be the most efficient, as it showed high typability (90%) and high discriminatory power (0.987). A comparison of MLVA with PFGE for typing of the snake-related isolates confirmed the MLVA13-Lyon scheme to be a robust method for quickly discriminating and inferring genetic relatedness among environmental isolates. The 62 isolates displayed wide diversity, since 41 MLVA types (i.e. MTs) were observed, with 26 MTs clustered in 10 MLVA clonal complexes (MCs). Three and eight MCs were found among soil and manure isolates, respectively. Only one MC contained both soil and manure-borne isolates. No common MC was observed between soil and manure-borne isolates and the snake-related or environmental and clinical isolates. Antibiotic resistance profiles were performed to determine a potential link between resistance properties and the selective pressure that might be present in the various habitats. Except for four soil and manure isolates resistant to ticarcillin and ticarcillin/clavulanic acid and one isolate from a hydrocarbon-contaminated soil resistant to imipenem, all environmental isolates showed wild-type antibiotic profiles.

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Section: Discussionmentioning

confidence: 98%

Diversity among strains of Pseudomonas aeruginosa from manure and soil, evaluated by multiple locus variable number tandem repeat analysis and antibiotic resistance profiles

Youenou

Brothier

Nazaret

2014

Research in Microbiology

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“…Microbial diversity of the landfill soil is lower than in plantation soil. Landfill soil is contaminated by xenobiotic compound and has an anaerobic microbial community (Perez-Leblic et al 2010;Lloyd-Jones and Lau 1998). Plantation soil is richer in microbial diversity and mostly aerobic microorganism.…”

Section: Bioplastic Biodegradation Patternmentioning

confidence: 99%

Biodegradability of Cassava Edible Bioplastics in Landfill Soil and Plantation Soil

Isroi¹,

Supeni²,

Eris³

et al. 2018

J. Kimia Kemasan

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BIODEGRADABILITY OF CASSAVA EDIBLE BIOPLASTICS IN LANDFILL AND PLANTATION SOIL. Biodegradation research of the edible bioplastic from cassava starch by carbon dioxide analysis has not been widely reported. This research aimed to evaluate biodegradability of edible bioplastic made from cassava starch by using two natural inoculums i,e landfill and plantation soil. The edible bioplastics used in this study were bioplastic with and without hydrophobic liquid. Biodegradation test of the bioplastic was then compared to HDPE plastic. The test was conducted in the glass jar for 60 days. The carbon dioxide generated from the biodegradation process was absorbed by 0.1 N sodium hydroxide and titrated with 0.1 N HCl. There was no carbon dioxide released from the HDPE plastic during the test. Biodegradation of the bioplastic in plantation soil was higher than in landfill soil. Biodegradation rate of the bioplastic in landfill soil was 0.201 mg CO2/day and 0.249 mg CO2/day for bioplastic without and with hydrophobic liquid, respectively. Biodegradation rate of the bioplastic in plantation soil was 0.604 mg CO2/day and 0.424 mg CO2/day for bioplastic without and with hydrophobic liquid, respectively. Complete biodegradation of the bioplastic in landfill soil was predicted in 431 days and 366 days for bioplastic without and with hydrophobic liquid, respectively. In another hand, complete biodegradation of the bioplastic in plantation soil predicted in 151 days and 201 days for bioplastic without and with hydrophobic liquid, respectively. Microbes population in the soil could be affected the biodegradation rate of the bioplastics.

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“…4A). This can refer, for instance, to the dynamic of an in situ microbial community in different seasons, in experiments after input of contaminants, nutrients or after a modification in land use (Jones et al, 2012;Perez-Leblic et al, 2012;Zhou et al, 2012). The objective would be then to determine whether the structure of these communities varies through time by estimating the relative contribution of Qαā nd Qβ values to Qγ values.…”

Section: Potential Applications In Microbial Ecologymentioning

confidence: 99%

A unifying quantitative framework for exploring the multiple facets of microbial biodiversity across diverse scales

Escalas

Bouvier

Mouchet

et al. 2013

Environmental Microbiology

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SummaryRecent developments of molecular tools have revolutionized our knowledge of microbial biodiversity by allowing detailed exploration of its different facets and generating unprecedented amount of data. One key issue with such large datasets is the development of diversity measures that cope with different data outputs and allow comparison of biodiversity across different scales. Diversity has indeed three components: local (α), regional (γ) and the overall difference between local communities (β). Current measures of microbial diversity, derived from several approaches, provide complementary but different views. They only capture the β component of diversity, compare communities in a pairwise way, consider all species as equivalent or lack a mathematically explicit relationship among the α, β and γ components. We propose a unified quantitative framework based on the Rao quadratic entropy, to obtain an additive decomposition of diversity (γ = α + β), so the three components can be compared, and that integrate the relationship (phylogenetic or functional) among Microbial Diversity Units that compose a microbial community. We show how this framework is adapted to all types of molecular data, and we highlight crucial issues in microbial ecology that would benefit from this framework and propose ready-to-use R-functions to easily set up our approach.

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Influence of xenobiotic contaminants on landfill soil microbial activity and diversity

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Cited by 44 publications

References 11 publications

Diversity among strains of Pseudomonas aeruginosa from manure and soil, evaluated by multiple locus variable number tandem repeat analysis and antibiotic resistance profiles

Diversity among strains of Pseudomonas aeruginosa from manure and soil, evaluated by multiple locus variable number tandem repeat analysis and antibiotic resistance profiles

Biodegradability of Cassava Edible Bioplastics in Landfill Soil and Plantation Soil

A unifying quantitative framework for exploring the multiple facets of microbial biodiversity across diverse scales

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