Use of multiple functional traits of protozoa for bioassessment of marine pollution

Zhong, Xiaoxiao; Xu, Guangjian; Xu, Henglong

doi:10.1016/j.marpolbul.2017.03.043

Cited by 42 publications

(18 citation statements)

References 36 publications

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“…These patterns were noted earlier by other researchers [38][39][40]. The Shannon species diversity index calculated for the number of cilioplankton has been suggested by other researchers [31,32] for the assessment of the quality of water bodies of different types (in particular, seawater). It has been pointed out that protozoan community diversity indices could be used as indicators that are more effective in biomonitoring aquatic ecosystems.…”

Section: Discussionsupporting

confidence: 72%

“…Previous studies have proven the existence of dependence between the indicators of cilioplankton and the content of organic substances both in surface water [15,16,31,32] and in wastewater [33]. However, it has been noted that high concentrations of organic substances (in terms of COD and BOD) and ammonium salts adversely affect the development of ciliates [34].…”

Section: Discussionmentioning

confidence: 99%

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Using Cilioplankton as an Indicator of the Ecological Condition of Aquatic Ecosystems

2019

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We assess the quality of surface water in water bodies located in the Middle Volga region (Russian Federation). The water quality is assessed using 19 chemical compounds and cilioplankton indicators, such as the total number of species, the abundance of each species, and, based on both of them, the saprobity index and the Shannon–Weaver diversity index (H). We classify the water quality from polluted to extremely dirty by using abiotic indicators, and from conditionally clean to dirty by means of biotic indicators. Using the logistic regression method, we are able to predict the water quality (clean or dirty) in correspondence with the species diversity index (H) and to clarify how the quality of the water is related to its physicochemical properties. The seven most significant chemical predictors of both natural origin (mineralization, hydro carbonates, and chlorides) and natural-anthropogenic origin (organic substances (according to BOD5), nitrates, total petroleum hydrocarbons, iron), identified during the stepwise selection procedure, have a substantial influence on the outcome of the model. Qualitative and quantitative indicators of development of ciliates, as well as indices calculated on their basis, allow assessing with a very high level of accuracy the water quality and the condition of aquatic ecosystems in general. The Shannon index calculated for the number of ciliates can be successfully used for ranking water bodies as “clean/dirty”.

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Section: Discussionsupporting

confidence: 72%

Section: Discussionmentioning

confidence: 99%

Using Cilioplankton as an Indicator of the Ecological Condition of Aquatic Ecosystems

2019

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“…For marine sedimentary environments, measurements of ecological quality often involve macrofauna 3 . Other groups, such as bacteria, protists or archaea, are surveyed less frequently 4 – 6 . It is not clear to what extent the response of different groups to environmental gradients is congruent, i.e.…”

Section: Introductionmentioning

confidence: 99%

Limited congruence exhibited across microbial, meiofaunal and macrofaunal benthic assemblages in a heterogeneous coastal environment

Cronin-O’Reilly

Taylor

Jermyn

et al. 2018

Sci Rep

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One of the most common approaches for investigating the ecology of spatially complex environments is to examine a single biotic assemblage present, such as macroinvertebrates. Underlying this approach are assumptions that sampled and unsampled taxa respond similarly to environmental gradients and exhibit congruence across different sites. These assumptions were tested for five benthic groups of various sizes (archaea, bacteria, microbial eukaryotes/protists, meiofauna and macrofauna) in Plymouth Sound, a harbour with many different pollution sources. Sediments varied in granulometry, hydrocarbon and trace metal concentrations. Following variable reduction, canonical correspondence analysis did not identify any associations between sediment characteristics and assemblage composition of archaea or macrofauna. In contrast, variation in bacteria was associated with granulometry, trace metal variations and bioturbation (e.g. community bioturbation potential). Protists varied with granulometry, hydrocarbon and trace metal predictors. Meiofaunal variation was associated with hydrocarbon and bioturbation predictors. Taxon turnover between sites varied with only three out of 10 group pairs showing congruence (meiofauna-protists, meiofauna-macrofauna and protists-macrofauna). While our results support using eukaryotic taxa as proxies for others, the lack of congruence suggests caution should be applied to inferring wider indicator or functional interpretations from studies of a single biotic assemblage.

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“…Protozoa are a primary component of the microbiota and play crucial roles in the functioning of microbial food webs by mediating the flux of carbon and energy across different trophic levels in aquatic ecosystems (Cairns et al , 1972; Norf et al , 2009a, b; Morin et al , 2010; Xu et al , 2014, 2016; Zhong et al , 2017). Changes in their abundance and composition may significantly influence the community structure of high-trophic-level organisms (Cairns & Henebry, 1982; Morin et al , 2008; Mieczan, 2010; Zhang et al , 2012, 2013; Xu & Xu, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…These studies, however, are typically carried out at single depths, usually in the surface layers (1–3 m) of the water column (Coppellotti & Matarazzo, 2000; Xu et al , 2011; Zhang et al , 2012, 2013). Consequently, little is known about the variability of protozoan community structure down the depth of the water column (Kralj et al , 2006; Zhong et al , 2017). This lack of knowledge significantly limits the use of protozoa in the bioassessment of environmental change in aquatic ecosystems on vertical scales.…”

Section: Introductionmentioning

confidence: 99%

Variations in the community structure of biofilm-dwelling protozoa at different depths in coastal waters of the Yellow Sea, northern China

Gao

et al. 2017

J. Mar. Biol. Ass.

Self Cite

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Biofilm-dwelling protozoa are a primary component of microbiota and play important roles in the functioning of microbial food webs such as the mediation of carbon and energy flux from plankton to benthos in marine ecosystems. To demonstrate the vertical pattern of the protozoan communities, a 1-month baseline survey was carried out in coastal waters of the Yellow Sea, northern China. A total of 40 samples were collected using glass slides as artificial substrates at four depths: 1, 2, 3.5 and 5 m. A total of 50 species were identified, comprising seven dominant and eight commonly distributed species. Species richness and individual species abundances showed a clear decreasing trend down the water column from 1 to 5 m, although the former peaked at a depth of 2 m. Multivariate approaches revealed that protozoan community structure differed significantly among the four depths, except for those at 2 and 3.5 m. Maximum values of species richness, diversity and evenness generally decreased with depth although they peaked at either 2 or 3.5 m. These results suggest that water depth may significantly shape the community patterns of biofilm-dwelling protozoa in marine ecosystems.

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Use of multiple functional traits of protozoa for bioassessment of marine pollution

Cited by 42 publications

References 36 publications

Using Cilioplankton as an Indicator of the Ecological Condition of Aquatic Ecosystems

Using Cilioplankton as an Indicator of the Ecological Condition of Aquatic Ecosystems

Limited congruence exhibited across microbial, meiofaunal and macrofaunal benthic assemblages in a heterogeneous coastal environment

Variations in the community structure of biofilm-dwelling protozoa at different depths in coastal waters of the Yellow Sea, northern China

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