Implementation of artificial neural networks (ANNs) to analysis of inter-taxa communities of benthic microorganisms and macroinvertebrates in a polluted stream.

This study was performed to gain an understanding of the structural and functional relationships between inter-taxa communities (macroinvertebrates as consumers, and microbes as decomposers or preys for the invertebrates) in a polluted stream using artificial neural networks techniques. Sediment samples, carrying microorganisms (eubacteria) and macroinvertebrates, were seasonally collected from similar habitats in streams with different levels of pollution. Microbial community taxa and densities were determined using polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) and 16S rDNA sequence analysis techniques. The identity and density of macroinvertebrates were concurrently determined. In general, differences were observed on grouping by self-organizing map (SOM) in polluted, clean and recovering sites based on the microbial densities, while the community patterns were partly dependent on the sampling period. A Spearman rank order correlation analysis revealed correlations of several eubacterial species with those of macroinvertebrates: a negative correlation was observed between Acidovorax sp. (from polluted sites) and Gammaridae (mostly from the clean site), while Herbaspirillum sp. and Janthinobacterium sp. appeared to have positive correlations with some macroinvertebrate species. The population dynamics of the tolerant texa, Tubificidae and Chironomidae, appeared to be related with changes in the densities of Acidovorax sp. This study revealed community relationships between macroinvertebrates and microorganisms, reflecting the connectivity between the two communities via the food chain. A further physio-ecological and symbiological study on the invertebrate-microorganism relationships will be required to understand the degradation and utilization of detritus in aquatic ecosystems as well as to elucidate the roles of the inter-taxa in the recovery of polluted aquatic environments.

[1]  Sovan Lek,et al.  Application of the Self-organizing Mapping and Fuzzy Clustering to Microsatellite Data : How to Detect Genetic Structure in Brown Trout (Salmo trutta) Populations , 2000 .

[2]  R. Laughlin,et al.  Effects of Carbon Substrates on Nitrite Accumulation in Freshwater Sediments , 1999, Applied and Environmental Microbiology.

[3]  D. Carlisle,et al.  Leaf litter breakdown, microbial respiration and shredder production in metal‐polluted streams , 2005 .

[4]  M. Gessner,et al.  CONTRIBUTION OF STREAM DETRIVORES, FUNGI, AND BACTERIA TO LEAF BREAKDOWN BASED ON BIOMASS ESTIMATES , 2002 .

[5]  Thomas P. Simon,et al.  A Benthic Community Index for streams in the Northern Lakes and Forests Ecoregion , 2003 .

[6]  M. Friedrich,et al.  Microbial Community Structure in Midgut and Hindgut of the Humus-Feeding Larva of Pachnoda ephippiata (Coleoptera: Scarabaeidae) , 2003, Applied and Environmental Microbiology.

[7]  D. Pearce,et al.  Significant changes in the bacterioplankton community structure of a maritime Antarctic freshwater lake following nutrient enrichment. , 2005, Microbiology.

[8]  M. Gerino,et al.  Influence of macroinvertebrates on physico‐chemical and microbial processes in hyporheic sediments , 2003 .

[9]  K. Cummins,et al.  An Introduction to the Aquatic Insects of North America , 1981 .

[10]  S. Kohshima,et al.  Seasonal Change in Bacterial Flora and Biomass in Mountain Snow from the Tateyama Mountains, Japan, Analyzed by 16S rRNA Gene Sequencing and Real-Time PCR , 2005, Applied and Environmental Microbiology.

[11]  J. M. Hellawell.  Biological indicators of freshwater pollution and environmental management , 1986 .

[12]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[13]  A. Lapanje,et al.  Bacterial Community Structure Analyses to Assess Pollution of Water and Sediments in the Lake Shkodra/Skadar, Balkan Peninsula (8 pp) , 2005 .

[14]  Young-Seuk Park,et al.  Hierarchical community classification and assessment of aquatic ecosystems using artificial neural networks. , 2004, The Science of the total environment.

[15]  M. Lock,et al.  Numerical Abundance and Biomass of Bacteria, Algae and Macrobenthos of a Large Northern River, the Athabasca , 1979 .

[16]  A. Lemly.  Bacterial Growth on Stream Insects: Potential for Use in Bioassessment , 1998, Journal of the North American Benthological Society.

[17]  R. Elwood,et al.  The dynamics of predation on Gammarus spp. (Crustacea: Amphipoda) , 1999 .

[18]  K. Timmis,et al.  Detection and Diversity of Expressed Denitrification Genes in Estuarine Sediments after Reverse Transcription-PCR Amplification from mRNA , 2002, Applied and Environmental Microbiology.

[19]  A. Uitterlinden,et al.  Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction-amplified genes coding for 16S rRNA , 1993, Applied and environmental microbiology.

[20]  Robert Costanza,et al.  What is a healthy ecosystem? , 1999, Aquatic Ecology.

[21]  R. Chróst,et al.  Origin, Composition, and Microbial Utilization of Dissolved Organic Matter , 1990 .

[22]  D. Stahl,et al.  Transmission of Nephridial Bacteria of the Earthworm Eisenia fetida , 2006, Applied and Environmental Microbiology.

[23]  Sun-Yuan Kung,et al.  Digital neural networks , 1993, Prentice Hall Information and System Sciences Series.

[24]  Young-Seuk Park,et al.  Patternizing communities by using an artificial neural network , 1996 .

[25]  A. Markkola,et al.  Breakdown and macroinvertebrate and fungal colonization of alder, birch, and willow leaves in a boreal forest stream , 2001, Journal of the North American Benthological Society.

[26]  J. Tank,et al.  Microbial activity and invertebrate colonisation of wood in a New Zealand forest stream , 1996 .

[27]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[28]  M. Lürling,et al.  Attraction of the amphipod Gammarus pulex to water-borne cues of food , 2005, Hydrobiologia.

[29]  C. Coimbra,et al.  Litter processing along a stream gradient: the role of invertebrates and decomposers , 2001, Journal of the North American Benthological Society.

[30]  R. Amann,et al.  Seasonal Community and Population Dynamics of Pelagic Bacteria and Archaea in a High Mountain Lake , 1998, Applied and Environmental Microbiology.

[31]  Richard P. Lippmann,et al.  An introduction to computing with neural nets , 1987 .

[32]  F. Bärlocher,et al.  Leaf-conditioning by microorganisms , 1975, Oecologia.

[33]  C. Pascoal,et al.  Contribution of Fungi and Bacteria to Leaf Litter Decomposition in a Polluted River , 2004, Applied and Environmental Microbiology.

[34]  Anil K. Jain,et al.  Algorithms for Clustering Data , 1988 .

[35]  N. Dubilier,et al.  Acidovorax-like symbionts in the nephridia of earthworms. , 2003, Environmental microbiology.

[36]  L. Leff,et al.  Ecology of Aquatic Bacterial Populations: Lessons from Applied Microbiology , 1998, Journal of the North American Benthological Society.

[37]  A. B. Hale,et al.  Genetic Variation within a Lotic Population of Janthinobacterium lividum , 1993, Applied and environmental microbiology.

[38]  R. Sinsabaugh,et al.  Microbial community structure and function in response to larval chironomid feeding pressure in a microcosm experiment , 2001, Hydrobiologia.

[39]  L. Leff,et al.  Characterization of benthic bacterial assemblages in a polluted stream using denaturing gradient gel electrophoresis , 2000, Hydrobiologia.

[40]  R. Pennak,et al.  Fresh-water invertebrates of the United States , 1953, Journal of Aquatic Ecosystem Stress and Recovery (Formerly Journal of Aquatic Ecosystem Health).

[41]  Young-Seuk Park,et al.  Stream fish assemblages and basin land cover in a river network. , 2006, Science of the Total Environment.

[42]  J. Pernthaler,et al.  Bacterial communities associated with benthic organic matter in headwater stream microhabitats. , 2005, Environmental microbiology.

[43]  A. E. Greenberg,et al.  Standard methods for the examination of water and wastewater : supplement to the sixteenth edition , 1988 .

[44]  Francesco Gianfelici.  Review of Random signals and systems by B. Pincibono Englewood Cliffs, NJ, Prentice-Hall, 2003 , 2009 .

[45]  R. Brinkhurst,et al.  Interactions Between Some Tubificid Oligochaetes and Bacteria Found in the Sediments of Toronto Harbour, Ontario , 1971 .

[46]  L. Leff,et al.  Bacterial Populations in an Anthropogenically Disturbed Stream: Comparison of Different Seasons , 1999, Microbial Ecology.

[47]  N. Iversen,et al.  Degradation of organic pollutants by methane grown microbial consortia , 2005, Biodegradation.