Biogeographical patterns of freshwater micro‐ and macroorganisms: a comparison between phytoplankton, zooplankton and fish in the eastern Mediterranean

Mazaris, Antonios D.; Moustaka‐Gouni, Maria; Michaloudi, Evangelia; Bobori, Dimitra

doi:10.1111/j.1365-2699.2010.02294.x

Cited by 54 publications

(44 citation statements)

References 52 publications

(79 reference statements)

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“…It has been shown that macroorganisms have obvious zonal distributions along gradients of water and energy [3]. Whether or not microorganisms follow similar distribution patterns to macroorganisms is still a matter of debate [4], although we have benefited from recent advances in molecular biological techniques which make it possible to examine geographic distributions of microbes [1], [5], [6]. Some interesting studies on bacterial communities have been undertaken through comparative studies across different habitats [7]–[9].…”

Section: Introductionmentioning

confidence: 99%

Ecological Drivers of Biogeographic Patterns of Soil Archaeal Community

Zheng

Hughes

et al. 2013

PLoS ONE

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Knowledge about the biogeography of organisms has long been a focus in ecological research, including the mechanisms that generate and maintain diversity. In this study, we targeted a microbial group relatively underrepresented in the microbial biogeographic literature, the soil Archaea. We surveyed the archaeal abundance and community composition using real-time quantitative PCR and T-RFLP approaches for 105 soil samples from 2 habitat types to identify the archaeal distribution patterns and factors driving these patterns. Results showed that the soil archaeal community was affected by spatial and environmental variables, and 79% and 51% of the community variation was explained in the non-flooded soil (NS) and flooded soil (FS) habitat, respectively, showing its possible biogeographic distribution. The diversity patterns of soil Archaea across the landscape were influenced by a combination of stochastic and deterministic processes. The contribution from neutral processes was higher than that from deterministic processes associated with environmental variables. The variables pH, sample depth and longitude played key roles in determining the archaeal distribution in the NS habitat, while sampling depth, longitude and NH4 +-N were most important in the FS habitat. Overall, there might be similar ecological drivers in the soil archaeal community as in macroorganism communities.

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Section: Introductionmentioning

confidence: 99%

Ecological Drivers of Biogeographic Patterns of Soil Archaeal Community

Zheng

Hughes

et al. 2013

PLoS ONE

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“…The observed spatial patterns of each microbial community could be influenced by potential factors related to its own ecological characteristics and requirements (Soininen et al 2011). Although bacterial and microeukaryotic communities responded to the same environmental conditions, the different population abundance, generation time, and organism size of each community have led to different speciation, extinction, or dispersal rates (Mazaris et al 2010;Yang et al 2010;Hanson et al 2012). Clearly, variations in both bacterial and microeukaryotic communities responded to the same environmental factors with an exception of DO in this study.…”

Section: Spatiotemporal Patterns Of River Ecosystemmentioning

confidence: 98%

Spatiotemporal dynamics and determinants of planktonic bacterial and microeukaryotic communities in a Chinese subtropical river

Wang

Liu

Chen

et al. 2015

Appl Microbiol Biotechnol

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The spatiotemporal distribution of microbial diversity, community composition, and their major drivers are fundamental issues in microbial ecology. In this study, the planktonic bacterial and microeukaryotic communities of the Jiulong River were investigated across both wet and dry seasons by using denaturing gradient gel electrophoresis (DGGE). We found evidence of temporal change between wet and dry seasons and distinct spatial patterns of bacterial and microeukaryotic communities. Both bacterial and microeukaryotic communities were strongly correlated with temperature, NH4-N, PO4-P, and chlorophyll a, and these environmental factors were significant but incomplete predictors of microbial community composition. Local environmental factors combined with spatial and temporal factors strongly controlled both bacterial and microeukaryotic communities in complex ways, whereas the direct influence of spatial and temporal factors appeared to be relatively small. Path analysis revealed that the microeukaryotic community played key roles in shaping bacterial community composition, perhaps through grazing effects and multiple interactions. Both Betaproteobacteria and Actinobacteria were the most dominant and diverse taxa in bacterial communities, while the microeukaryotic communities were dominated by Ciliophora (zooplankton) and Chlorophyta (phytoplankton). Our results demonstrated that both bacterial and microeukaryotic communities along the Jiulong River displayed a distinct spatiotemporal pattern; however, microeukaryotic communities exhibited a stronger distance-decay relationship than bacterial communities and their spatial patterns were mostly driven by local environmental variables rather than season or spatial processes of the river. Therefore, we have provided baseline data to support further research on river microbial food webs and integrating different microbial groups into river models.

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“…The high contribution of cyanobacteria species to phytoplankton diversity has been commonly observed in eutrophic lakes in Greece (e.g., Moustaka-Gouni, 1993;Mazaris et al, 2010) and worldwide (e.g., . Cyanobacteria species were found to be associated with artificial and agricultural land use types such as urban and artificial sites and permanent crops.…”

Section: Discussionmentioning

confidence: 93%

“…Evidence from recent studies performed at the same region demonstrated that phytoplankton species occurrence and diversity is largely affected by environmental heterogeneity (Mazaris et al, 2010). Evidence from recent studies performed at the same region demonstrated that phytoplankton species occurrence and diversity is largely affected by environmental heterogeneity (Mazaris et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

“…Hoffmann & Dodson (2005) showed that watershed development was the best single descriptor of zooplankton richness for all lakes describing biodiversity patterns better than productivity or lake area alone. On the other hand, lake morphometry is considered as the best index of phytoplankton structure and productivity, reflecting climate and watershed conditions (Wetzel, 2001;Mazaris et al, 2010). For reservoirs it is wellknown that hydraulic regime, size, and depth changes due to operational use have clear implications on their biotic communities (Kennedy, 1999).…”

Section: Introductionmentioning

confidence: 99%

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