Do ammonia-oxidizing archaea respond to soil Cu contamination similarly asammonia-oxidizing bacteria?

Li, Xiaofang; Zhu, Yan; Cavagnaro, Timothy R.; Chen, Meimeo; Sun, Jiazhu; Chen, Xueping; Qiao, Mingqiang

doi:10.1007/s11104-009-9947-7

Cited by 54 publications

(38 citation statements)

References 52 publications

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“…Previous studies indicated the abundance of AOA over AOB in heavy metal-polluted soils (Li et al 2009;Kelly et al 2011;Vasileiadis et al 2012). More recently, genome analysis of Nitrososphaera gargensis revealed that AOA may be adapted to heavy metals containing habitats by encoding multiple metal resistance mechanisms including 21 putative metal ion efflux proteins which belong to 10 different transporter families (Spang et al 2012).…”

Section: Community Structure Of Aobmentioning

confidence: 96%

“…While soil pollution can affect AOB communities (Mertens et al 2009;Xia et al 2007), little is known about how AOA is affected by contamination. Although, AOA are thought to be more tolerant towards chronic stress conditions than AOB (Schleper et al 2005), the influence of heavy metals on AOA is reported controversially in literature (Xia et al 2007;Li et al 2009;Mertens et al 2009;Liu et al 2010). Furthermore, few studies investigating the response of both AOA and AOB to metal contaminations were mostly performed using metal-spiked microcosm studies (Xia et al 2007;Mertens et al 2009;Liu et al 2010;Vasileiadis et al 2012) which do not allow a factual prediction of the AOA and AOB dynamics in soils with a long history of contamination.…”

Section: Community Structure Of Aobmentioning

confidence: 99%

“…For example, reduction of both AOA and AOB populations were noticed in arsenic-contaminated soils (Ollivier et al 2012). Higher abundance of AOA rather than AOB was noticed in copper-polluted soils (Li et al 2009). Diversity analysis of ammonia monooxygenase α-subunit (amoA) genes revealed clear differences in AOA and AOB community patterns in response to soil contamination (Liu et al 2010;Ollivier et al 2012).…”

Section: Introductionmentioning

confidence: 96%

“…Therefore, microbial-mediated soil processes are well accepted as indicators of overall soil environmental quality (Shukurov and Pen-mouratov 2009). Recently, the role played by soil nitrifiers has gained much interest in monitoring the soil disturbances caused by a variety of contaminants (Li et al 2009;Liu et al 2010;Cao et al 2011;Ollivier et al 2012). For example, reduction of both AOA and AOB populations were noticed in arsenic-contaminated soils (Ollivier et al 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Diversity analysis of ammonia monooxygenase α-subunit (amoA) genes revealed clear differences in AOA and AOB community patterns in response to soil contamination (Liu et al 2010;Ollivier et al 2012). Moreover, the dominant role of AOA over AOB in nitrification was found in heavy metal-polluted soils (Li et al 2009;Kelly et al 2011;Vasileiadis et al 2012), while greater role of AOB was seen in nitrification of wastewater treatment plants and soils polluted with organic amendments (Jin et al 2010;Wells et al 2009). Distinct response of AOA and AOB in nitrification was mainly attributed to their different ecological niche specialization in natural and engineered environments .…”

Section: Introductionmentioning

confidence: 99%

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Response of ammonia-oxidizing archaea and bacteria to long-term industrial effluent-polluted soils, Gujarat, Western India

Subrahmanyam

Shen

Liu

et al. 2014

Environ Monit Assess

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Soil nitrifiers have been showing an important role in assessing environmental pollution as sensitive biomarkers. In this study, the abundance and diversity of ammonia-oxidizing archaea (AOA) and ammonia-oxidizing bacteria (AOB) were investigated in long-term industrial waste effluent (IWE) polluted soils. Three different IWE polluted soils characterized as uncontaminated (R1), moderately contaminated (R2), and highly contaminated (R3) were collected in triplicate along Mahi River basin, Gujarat, Western India. Quantitative numbers of ammonia monooxygenase α-subunit (amoA) genes as well as 16S rRNA genes indicated apparent deleterious effect of IWE on abundance of soil AOA, AOB, bacteria, and archaeal populations. Relatively, AOB was more abundant than AOA in the highly contaminated soil R3, while predominance of AOA was noticed in uncontaminated (R1) and moderately contaminated (R2) soils. Soil potential nitrification rate (PNR) significantly (P<0.05) decreased in polluted soils R2 and R3. Reduced diversity accompanied by apparent community shifts of both AOB and AOA populations was detected in R2 and R3 soils. AOB were dominated with Nitrosospira-like sequences, whereas AOA were dominated by Thaumarchaeal "group 1.1b (Nitrososphaera clusters)." We suggest that the significant reduction in abundance and diversity AOA and AOB could serve as relevant bioindicators for soil quality monitoring of polluted sites. These results could be further useful for better understanding of AOB and AOA communities in polluted soils.

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Section: Community Structure Of Aobmentioning

confidence: 96%

Section: Community Structure Of Aobmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Response of ammonia-oxidizing archaea and bacteria to long-term industrial effluent-polluted soils, Gujarat, Western India

Subrahmanyam

Shen

Liu

et al. 2014

Environ Monit Assess

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Relative Abundance of Ammonia Oxidizers, Denitrifiers, and Anammox Bacteria in Sediments of Hyper‐Nutrified Estuarine Tidal Flats and in Relation to Environmental Conditions

Zhang

Agogué

Dupuy

et al. 2013

CLEAN Soil Air Water

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The relative abundances of nitrifying, denitrifying and anammox prokaryotes in sediments of three hyper-nutrified estuarine tidal flats of Laizhou Bay, Bohai Sea, China were investigated. Quantitative PCR estimates indicated that in most cases archaeal (AOA) amoA genes were more abundant than bacterial (AOB) amoA genes, and ratio of AOA/AOB was correlated with pH, Cd, and Cu. Of the denitrifiers, nirK-type outnumbered nirS-type, with nosZ-type being the lowest. Variation of the ratio between nirK and nirS abundance depends on pH, nitrite, nitrate, and Cd. The combination of (nirS þ nirK-nosZ), an indicator of genetic potentials for N 2 O emission, was only related to the temperature. Anammox bacterial 16S rRNA gene abundances were correlated with salinity, pH, nitrite, and Cu. In contrast, the contribution of anammox to N 2 production, by using anammox bacterial 16S rRNA/nosZ ratio as a proxy, was correlated to temperature, ammonium and dissolved oxygen in the overlying water, ratio of organic carbon to nitrogen, and arsenic in sediments. Our study stresses that abundances of N-cycling functional groups respond differently to variations of environmental conditions, and multiple factors including heavy metals with relatively low concentrations may play a role in shaping nitrogen cycling processes in these estuarine tidal flats.

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Copper toxicity thresholds in Chinese soils based on substrate‐induced nitrification assay

Sun

Huang

et al. 2009

Enviro Toxic and Chemistry

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Abstract-Copper toxicity in 17 Chinese soils was screened using a substrate-induced nitrification assay to generate information for the development of a terrestrial biotic ligand model (tBLM). The leaching effect on the Cu toxicity thresholds was investigated. Both the total Cu-based median effective concentration (EC50) values (46.9-2726 mg/kg) and the solution Cu-based EC50 values (0.04-2.91 mg/L) in unleached soils varied substantially among the soils in the present study. For unleached soils, linear stepwise multiple regression analysis showed that total Ca and soil pH were the best predictors for total Cu-based EC50, while electrical conductivity (EC) and soil pH were the best predictors for solution Cu-based EC50. The variation in solution Cu-based EC50 was largely (R 2 ¼ 0.75) explained by Mg but not Ca and H þ concentration in soil solution at EC50, suggesting a protective effect of Mg 2þ against Cu toxicity in the test soils. Leaching impacted Cu toxicity differently among the soils and apparently reduced the variations of both the total Cu-based and the solution Cu-based EC50. The predictability of the Cu EC50 by empirical models was decreased after leaching. The leaching effect on Cu toxicity, indicated by a leaching factor, was not predicted by any soil properties. There is a need to investigate quantitatively the mechanisms for the leaching effect on Cu toxicity in soils. Environ. Toxicol. Chem. 2010;29:294-300. # 2009 SETAC

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Do ammonia-oxidizing archaea respond to soil Cu contamination similarly asammonia-oxidizing bacteria?

Cited by 54 publications

References 52 publications

Response of ammonia-oxidizing archaea and bacteria to long-term industrial effluent-polluted soils, Gujarat, Western India

Response of ammonia-oxidizing archaea and bacteria to long-term industrial effluent-polluted soils, Gujarat, Western India

Relative Abundance of Ammonia Oxidizers, Denitrifiers, and Anammox Bacteria in Sediments of Hyper‐Nutrified Estuarine Tidal Flats and in Relation to Environmental Conditions

Copper toxicity thresholds in Chinese soils based on substrate‐induced nitrification assay

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