SciELO - Scientific Electronic Library Online

vol.47 issue1Comparing how land use change impacts soil microbial catabolic respiration in Southwestern AmazonExploring plant growth-promotion actinomycetes from vermicompost and rhizosphere soil for yield enhancement in chickpea author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand




Related links


Brazilian Journal of Microbiology

Print version ISSN 1517-8382On-line version ISSN 1678-4405

Braz. J. Microbiol. vol.47 no.1 São Paulo Jan./Mar. 2016 

Environmental Microbiology

Bacterial ecology of abattoir wastewater treated by an anaerobic digestor

Linda Jabaria  b 

Hana Gannouna  c 

Eltaief Khelifia 

Jean-Luc Cayolb 

Jean-Jacques Godond 

Moktar Hamdia 

Marie-Laure Fardeaub  * 

aUniversité de Carthage, Laboratoire d'Ecologie et de Technologie Microbienne, Institut National des Sciences Appliquées et de Technologie (INSAT), 2 Boulevard de la terre, B.P. 676, 1080 Tunis, Tunisia

bAix-Marseille Université, Université du Sud Toulon-Var, CNRS/INSU, IRD, MOI, UM 110, 13288 Marseille cedex 9, France

cUniversité Tunis El Manar, Institut Supérieur des Sciences Biologiques Appliquées de Tunis (ISSBAT) 9, avenue Zouhaïer Essafi, 1006 Tunis, Tunisia

dINRA U050, Laboratoire de Biotechnologie de l'Environnement, Avenue des Étangs, F-11100 Narbonne, France


Wastewater from an anaerobic treatment plant at a slaughterhouse was analysed to determine the bacterial biodiversity present. Molecular analysis of the anaerobic sludge obtained from the treatment plant showed significant diversity, as 27 different phyla were identified. Firmicutes, Proteobacteria, Bacteroidetes, Thermotogae, Euryarchaeota (methanogens), and msbl6 (candidate division) were the dominant phyla of the anaerobic treatment plant and represented 21.7%, 18.5%, 11.5%, 9.4%, 8.9%, and 8.8% of the total bacteria identified, respectively. The dominant bacteria isolated were Clostridium, Bacteroides, Desulfobulbus, Desulfomicrobium, Desulfovibrio and Desulfotomaculum. Our results revealed the presence of new species, genera and families of microorganisms. The most interesting strains were characterised. Three new bacteria involved in anaerobic digestion of abattoir wastewater were published.

Keywords Bacterial ecology; Biodiversity; Bacterial culture; SSCP; PCR


For hygienic reasons, abattoirs use copious amounts of water in their processing operations (slaughtering and cleaning), which creates significant wastewater. In addition, the increased use of automated machines to process carcasses, along with the incorporation of washing at every stage, has increased water consumption in slaughterhouse facilities. The high fat and protein content of slaughterhouse waste makes wastewater a good substrate for anaerobic digestion, due to its expected high methane yield.1 Numerous microorganisms are involved in the anaerobic degradation of slaughterhouse waste, any step of which may be rate-limiting depending on the waste being treated as well as the process involved.

The microorganisms involved in anaerobic digestion have not been fully identified; however, at least four groups of microorganisms are involved in this process.2 The first group are the hydrolytic bacteria that degrade complex compounds (protein, carbohydrates, and fat) into simpler compounds, such as organic acids, alcohols, carbon dioxide (CO2) and hydrogen. The second group are the hydrogen producing acetogenic bacteria that use organic acids and alcohols to produce acetate and hydrogen. The third group contains homoacetogenic bacteria that can only form acetate from hydrogen, CO2, organic acids, alcohols, and carbohydrates. The fourth group comprises methanogens that form methane from acetate, CO2, and hydrogen. Hydrolytic, acetogenic, and methanogenic microorganisms play an equally important role in anaerobic digestion and methane production. Optimal methane production is only achieved via the interaction of multiple microorganisms,3 and therefore, biodegradation of molecules in wastewater depends on the activity of all microbial groups involved.

Common fermentative bacteria include Lactobacillus, Eubacterium, Clostridium, Escherichia coli, Fusobacterium, Bacteroides, Leuconostoc, and Klebsiella. Acetogenic bacteria include Acetobacterium, Clostridium, and Desulfovibrio.2 Methane producing organisms are classified under domain Archaea and phylum Euryarchaeota.4

In order to better understand the function of a bacterial population, a detailed description of the microbial ecosystem is necessary. One method is via molecular biology techniques.5 Recent advances in the molecular analysis of bacterial ecosystems allow a better understanding of the specific microorganisms involved in wastewater treatment. There are only a few studies focused on microbial populations, diversity and evolution in reactors fed with complex organic wastes.1 Therefore, little is known about the composition of these reactors. The development of advanced molecular biology techniques has contributed to the detection, quantification, and identification of the bacterial populations involved in the treatment of abattoir wastewater. For example, cloning and sequencing of 16S rRNA gene fragments provide information about the phylogeny of the microorganisms. Additionally, single stranded conformation polymorphism (SSCP) offers a simple, inexpensive and sensitive method for detecting whether or not DNA fragments are identical in sequence, and can greatly reduce the amount of sequencing necessary.6

This work aimed to study the bacterial ecology of an anaerobic digestor through both bacterial culture and molecular biological techniques. The bacteria involved in the anaerobic digestion of abattoir wastewater were identified using classic microbiology techniques and molecular tools (sequencing of 16S rRNA and SSCP). Additionally, our results were compared with those of Gannoun et al.6 to evaluate the effect of storage at 4 °C on the bacterial diversity of the sludge.

Material and methods

Origin of the sludge

Anaerobic sludge samples were collected from an upflow anaerobic filter that treats abattoir wastewater in Tunisia.7 The digestor operated under both mesophilic (37 °C) and thermophilic (55 °C) conditions. Samples were taken at the end of thermophilic phase and stored at 4 °C. The sludge was then analysed to determine the bacterial diversity present, first via bacterial culture.

DNA extraction, PCR and SSCP analysis of the digestor sludge

Four milliliters of the anaerobic sludge sample were centrifuged at 6000 rpm for 10 min. Pellets were re-suspended in 4 mL of 4 M guanidine thiocyanate–0.1 M Tris pH 7.5 and 600 µL of N-lauroyl sarcosine 10%. Two hundred and fifty microlitres of treated samples were transferred in 2 mL tubes and stored at −20 °C.

Extraction and purification of total genomic DNA was implemented according to the protocol developed by Godon et al.8

Highly variable V3 regions of bacterial 16S rRNA genes were amplified by PCR using bacterial (w49–w34) primers (Table 1). Samples were treated according to the protocol previously described by Delbès et al.9

Table 1 Sequences and target positions of primers used in this study. 

Primer Sequence Target Reference
w34 a TET-TTACCGCGCTGCTGGCAC 16S rRNA universal Gannoun et al. 6
w49 ACGGTCCAGACTCCTACGGG 16S rRNA bacteria Gannoun et al. 6

aThe primer w34 is marked at 5' end with fluorescent phosphoramidite-TET (Applied Biosystems).

For electrophoresis, PCR–SSCP products were diluted in water before mixing with 18.75 µL formamide (Genescan-Applied Biosystems) and 0.25 µL internal standards (ROX, Genescan-Applied Biosystems) according to the protocol of SSCP described by Delbès et al.9

SSCP analyses were performed on an automatic sequencer abi310 (Applied Biosystems). RNA fragment detection was done on the fluorescent w34 primer. The results obtained were analysed by GeneScan Analysis 2.0.2 Software (Applied Biosystems) as specified by Gannoun et al.6 For bacterial identification, pyrosequencing of the DNA samples using a 454 protocol was performed (Research and Testing Laboratory, Lubbock, USA).

Methods of analysis for pyrosequencing data used herein have been described previously.1014 Sequences are first depleted of barcodes and primers. Then, short sequences under 200 bp are removed, sequences with ambiguous base calls are removed, and sequences with homopolymer runs exceeding 6 bp are removed. Sequences are then denoised and chimeras removed. Operational taxonomic units were defined after removal of singleton sequences, clustering at 3% divergence (97% similarity).1521 Operational taxonomic units were then taxonomically classified using BLASTn against a curated GreenGenes database22 and compiled into each taxonomic level into both “counts” and “percentage” files. Counts files contain the actual number of sequences, while the percentage files contain the percentage of sequences within each sample that map to the designated taxonomic classification.

Enrichment and isolation procedures of fermentative and SRB bacteria

The Hungate technique23 was used throughout this study. Inoculations were done with 10% of culture. Samples were collected from the anaerobic filter at the end of thermophilic phase. A 0.5 mL aliquot of sample was inoculated into Hungate tubes containing 5 mL of basal medium.

For both SRB and fermentative bacteria, enrichment and isolation was done according to the protocol described previously by Hungate23 and Khelifi et al.5

Purification of the DNA, PCR amplification and sequencing of the 16S rRNA gene of isolated bacteria

Purification of the DNA, PCR amplification and sequencing of the 16S rRNA gene were performed as described previously.24 The partial sequences generated were assembled using BioEdit version 5.0.925 and the consensus sequence of 1495 nucleotides was corrected manually for errors. The most closely related sequences in GenBank (version 178), the Ribosomal Database Project (release 10) identified using BLAST,26 and the Sequence Match program,27 were extracted and aligned. The consensus sequence was then adjusted manually to conform to the 16S rRNA secondary structure model.28 Nucleotide ambiguities were omitted and evolutionary distances were calculated using the Jukes and Cantor option.29 Dendrograms were constructed with the TREECON program using the neighbor-joining method.30 Tree topology was re-examined by the bootstrap method (1000 replications) of re-sampling.31 Its topology was also supported using the maximum-parsimony and maximum-likelihood algorithms.

Data analyses

The two main factors taken into account when measuring diversity are richness and evenness. Richness is a measure of the number of different kinds of organisms present in a particular sample. Evenness (Es) compares the similarity of population sizes between each of the species present. The reciprocal of Simpson's index (diversity richness) (1/D), which is widely used for ecological studies, was also used as a measure of diversity. Richness and evenness were calculated and interpreted as described previously by Simpson32 and Gannoun et al.6

Results and discussion

Diversity and abundance of the bacterial communities in the bioreactor sludge using SSCP and DNA sequencing

There was significant microbial diversity of the upflow anaerobic filter, which operated under both mesophilic (37 °C) and thermophilic (55 °C) conditions. Twenty-seven different phyla were identified, and the six most common phyla (Firmicutes, Proteobacteria, Bacteroidetes, Thermotogae, Euryarchaeota (the methanogenic bacteria), and the msbl6 (candidate division)) represented 78.8% of the total (Table 2). The 21 less common phyla represented 21% of the total.

Table 2 The different phyla found in the digestor. 

Phyla Percentage of total (%)
Firmicutesa 21.7
Proteobacteriaa 18.5
Bacteroidetesa 11.5
Thermotogaea 9.4
Euryarchaeotaa 8.9
msbl6 (candidate division)a 8.8
Op8 (candidate division) 3.7
Chloroflexi 3.2
Ws3 (candidate division) 2.1
Op3 (candidate division) 1.9
Planctomycetes 1.9
Synergistetes 1.7
Crenarchaeota 1.4
spam (Candidate division) 1.0
op1 (Candidate division) 1.0
op9 (Candidate division) 0.8
gn02 (Candidate division) 0.4
ksb1 (Candidate division) 0.3
nkb19 (Candidate division) 0.3
tm6 (Candidate division) 0.3
Cyanobacteria 0.3
Spirochaetes 0.2
Actinobacteria 0.1
Dictyoglomi 0.1
Acidobacteria 0.1
Verrucomicrobia 0.1
Nitrospirae 0.1

aThe most common phyla.

Gram-positive bacteria, including Firmicutes (low G + C), were the most common type of bacteria in the anaerobic digestor, comprising 21.7% of the total. Both Gram-positive low G + C bacteria and the Bacteroidetes phylum are known for their fermentative properties. Furthermore Bacteroidetes play an important role in the degradation of complex polymers. Firmicutes and Bacteroidetes are also the two main groups encountered in the study by Godon et al.8 of a fluidised bed anaerobic digestor fed with vinasse. These two groups of bacteria hydrolyse the polymer substrates which are not degraded during the previous stages of anaerobic digestion (such as polysaccharides, proteins and lipids) into acetate, long chain fatty acids, CO2, formate and hydrogen.

Bacteria within the Proteobacteria phylum were also commonly found in the digestor. These Gram-negative bacteria are considered to be some of the most cultivable microorganisms.33,34 The Proteobacteria have an important role in the hydrolysis and acetogenesis steps of anaerobic digestion, and include delta, gamma and beta varieties. Deltaproteobacteria contains many syntrophic anaerobic bacteria, which participate in sulphate reduction. Among the Gammaproteobacteria, there are many denitrifying bacteria or bacteria that accumulate phosphates.35 The Betaproteobacteria are involved in nitrification, and are potentially also involved in denitrification.

Phylogenetic analysis of the domain Bacteria also helped to highlight the existence of a poorly known order, Thermotogales, which was relatively abundant within the digestor at 9.4%. Thermotogales contains anaerobic bacteria that are heterotrophic with a fermentative metabolism.36 These bacteria are also found in other anaerobic digestors.8

The Planctomycetales group represented 1.9% of the bacteria within the digestor. Bacteria within Planctomycetales are limited to five kinds and only eight species are described. Aerobic heterotrophic Planctomycetes have been successfully isolated from brackish marine sediments, freshwater sediments, soil, hot springs, salt pits and tissues from giant tiger prawn postlarvae.37,38 In addition, a special group of Planctomycetes were implicated in the oxidation of ammonia under anaerobic conditions in wastewater plants, coastal marine sediments, and oceanic and freshwater oxygen minimum zones.39 Furthermore, a wide variety of Planctomycetales were found during analysis of samples from aquatic anaerobic environments, a sulphide- and sulphur-rich spring, activated sludge wastewater treatment plants and in anaerobic digestors.8,38,39

The Chloroflexi represented 3.2% of the digestor's bacteria. Chloroflexi have been identified from many environments through 16S rRNA gene profiling, including marine and freshwater sediments. Despite this, the Chloroflexi remain a relatively understudied bacterial lineage. At present, there are 19 complete genomes available for the Chloroflexi.40

Tang et al.41 showed that three phyla were involved in the mesophilic anaerobic treatment of synthetic rejection containing bovine serum albumin: Bacteroidetes, followed by Firmicutes and Proteobacteria. In another study by Fang et al.42 that evaluated the anaerobic degradation of phenol rich rejection in an upflow anaerobic sludge blanket (UASB) reactor, eight phylogenetic groups were detected, namely Thermotogales (38.9% of clones), Firmicutes (27.8%), Chloroflexi (11.1%), candidate division OP8 (9.3%), candidate division OP 5 (5.5%), Proteobacteria (3.7%), Bacteroidetes (1.9%) and Nitrospirae (1.9%). These results are comparable with the results of our study.

The Euryarchaeota, which consist mainly of methanogenic bacteria, represented 8.9% of bacteria within the anaerobic digestor. The Crenarchaeota, extreme thermoacidophiles, were also detected in the digestor with an abundance of 1.4%. The digestor seems to have limited archaeal diversity. These results are similar to the results of another study on the bacterial diversity of an anaerobic digestor fed with vinasse, which contained only 4% of Archaea Bacteria sequences.8

Overall, there was significant bacterial diversity within the digestor. There were 23 species each consisting of greater than 1%, and the most abundant species was Kosmotoga spp. with a percentage of 9.37% (Table 3).

Table 3 The main genus and species of the digestor. 

Strain Percentage (%) Strain Percentage (%)
Kosmotoga spp. a 9.37 Cclostridium acetireducens 0.97
msbl6 (candidate division)a 8.75 Segetibacter spp. 0.97
Desulfotomaculum thermocisternuma 6.25 Clostridium limosum 0.90
Rriemerella anatipestifera 5.48 Sulfurovum lithotrophicum 0.90
Pelotomaculum thermopropionicuma 4.44 op9 (candidate division) 0.83
op8 (candidate division)a 3.68 Achromatium oxaliferum 0.83
Tthiohalomonas denitrificansa 3.12 Ureibacillus suwonensis 0.76
Thermobaculum terrenuma 3.12 Desulfobacterium catecholicum 0.76
Desulfobulbus elongatusa 2.63 Synergistes spp. 0.76
Methanobacterium spp. a 2.43 Desulfomicrobium spp. 0.76
Dysgonomonas mossiia 2.22 Desulfobulbus spp. 0.69
Caldanaerobacter uzonensisa 2.15 Methanobacterium beijingense 0.62
ws3 (candidate division)a 2.08 Pseudomonas resinovorans 0.62
op3 (candidate division)a 1.94 Rhodovibrio salinarum 0.55
Pirellula spp. a 1.66 Legionella birminghamiensis 0.55
Methanobacterium aarhusensea 1.45 Methanosaeta thermophila 0.55
Nitrosococcus oceania 1.45 Acetobacterium wieringae 0.55
Coprococcus clostridium sp. ss2 / 1a 1.38 Thermanaerovibrio acidaminovorans 0.55
Methanosphaerula palustrisa 1.11 Thermosinus carboxydivorans 0.55
Parabacteroides goldsteiniia 1.04 Ruminococcus flavefaciens 0.48
Candidatus nitrososphaera gargensisa 1.04 Methanosaeta spp. 0.48
spam (candidate division)a 1.04 Rhodovulum euryhalinum 0.48
op1 (candidate division)a 1.04 Thermomonas fusca 0.48
Methanobrevibacter curvatus 0.97 Mechercharimyces mesophilus 0.41

aThe first 23 species are the prominent ones based on the PCR-SSCP and microbiological methods.

The 48 most abundant species in the sample.

SSCP analysis of the effect of storage on the diversity and abundance of bacterial communities within the bioreactor sludge

SSCP analyses (Fig. 1) show the results of two samples of sludge collected from the same digestor at the end of the thermophilic phase.6 The second sample was stored at 4 °C for two months and showed different SSCP patterns. The analysis of the two SSCP patterns showed significant change in the bacterial community over time, which can be explained by the fact the sludge is not stable over time.

Fig. 1 Effect of storage on the dynamics of single strand conformation polymorphism patterns of bacterial 16S rRNA gene amplification products of the anaerobic digestor. 

The dynamics of bacterial communities were monitored by PCR-SSCP methods. The profile obtained for the domain Bacteria is shown in Fig. 1. The SSCP pattern revealed the high diversity of bacteria, with at least 48 distinguishable peaks and about 23 prominent peaks. The bacterial diversity richness (1/D) and species evenness (Es) were used as a measure of diversity and abundance. The obtained values were 38.97 (which offers toward the number of species S = 48) (indicated maximum diversity)) and 0.811 (which offers toward to 1: species in the sample are quite evenly distributed), respectively. This result is in agreement with other molecular studies based on the PCR-SSCP methods.

Several research groups confirmed our results and demonstrated that diversity in bacterial digestors varies depending on several factors. However, Zumstein et al.,43 who studied the community dynamics in an anaerobic bioreactor using fluorescence PCR single-strand conformation polymorphism analysis, indicated that throughout the period of the study, rapid significant shifts in the species composition of the bacterial community occurred. In fact, the bacterial community was followed for two years through the analysis of 13 SSCP patterns, with one SSCP pattern every two months. The analysis of the SSCP patterns showed a continuous change in the bacterial community during that time. Typically, a microorganism initially present at low levels in the community grew, peaked and decreased. Moreover, some microorganisms seemed to fluctuate simultaneously.

Keskes et al.44 studied the effect of the prolonged sludge retention time on bacterial communities involved in the aerobic treatment of abattoir wastewater by a submerged membrane bioreactor. Their results showed that the biodiversity varied significantly in relation with the environmental conditions, particularly TSS.

The sludge microorganisms and associations of microorganisms may occupy the same ecological niche successively. They could correspond to the ecological unit called an ecotype.45

Isolation and identification of bacteria

Fermentative bacteria and SRB involved in the anaerobic digestion of organic matter in abattoir effluents were investigated by two approaches: classical microbiology and molecular taxonomy.

The isolation of bacteria is preceded by an enrichment phase which favors the growth of a given microorganism (fermentative bacteria or SRB), selected according to the physical and nutritional conditions of the medium category. For this purpose, two different culture media were used, as described in the Materials and Methods section. The first culture medium was specially designed for the detection of fermentative bacteria and the second for SRB. Both culture media were tested at 37 °C and 55 °C. Glucose was used as an energy source to isolate fermentative bacteria, whereas lactate, acetate and H2CO2 were reserved for the isolation of SRB.

Isolation and culture of bacteria allowed us to study the biodiversity of these bioreactors as well as highlighted the dominant bacteria in the different conditions tested. The isolation of the different strains was carried out on an agar medium. This step helped to isolate strains that are identified based on their morphological differences (size, shape, and color).

Following this step, molecular analysis of the isolated strains was performed. After extraction of the bacterial DNA, the 16S rDNA was amplified by PCR. The quality of the amplified DNA was visualised with ultra-violet light after migration on gel agarose at 1%. The PCR product was subsequently sequenced to identify the different strains. The genes coding for 16S rRNA have been chosen as taxonomic markers, as they have a universal distribution and conserved function. These genes possess both highly conserved areas, providing information on the evolution of distant species, and variable areas, to differentiate organisms belonging to the same genus, and eventually the same species.46

Each microorganism was then identified by comparing the 16S rDNA sequences with those of known microorganisms, and each was cataloged in computer databases. Given the large number of isolated bacteria in recent underwent restriction analysis by ARDRA technique to eliminate identical strains restriction profiles to keep only the amplifias of different strains priori which will be the object of phylogenetic studies. Phylogenetic affiliations of the 16S rRNA of bacteria sequences are presented in Table 4 with the closest relatives of isolated mesophilic and thermophilic fermentative bacteria and SRB.

Table 4 Phylogenetic affiliation of the 16S rRNA bacteria sequences of isolated strains. 

Name Closest neighbor Accession number Origin References Similarity (%)
Mesophilic fermentative bacteria (37 °C)
LIND8L2 Clostridium novyi AB041865 Soil and feces Sasaki et al. 49 96%
LIND7Ha Parabacteroides merdae AB238928 Human feces Johnson et al. 51 91%
LIND8A Clostridium sp 13A1 AY554421 Anaerobic bioreactor treating cellulose waste Burrell et al. 50 99%
LINBA Clostridium sp D3RC-2 DQ852338 Rumen yak china Zhang et al. 48 99%
LINBL1 Clostridium sp D3RC-2 DQ852338 Rumen yak china Zhang et al. 48 99%
LINBA2 Clostridium sp D3RC-2 DQ852338 Rumen yak china Zhang et al. 48 99%
LIND8A Clostridium sp D3RC-2 DQ852338 Rumen yak china Zhang et al. 48 96%
Thermophilic fermentative bacteria (55 °C)
LIND6LT2a Parasporobacterium paucivorans AJ272036 Anaerobic digestor treating solid waste Lomans et al. 57 87%
LIND8AT Uncultured bacterium DQ125705 Soils contaminated with uranium waste Brodie et al. 59 97%
LINBAT1 Uncultured bacterium AF280825 Anaerobic digestor treating pharmaceutical wastes Lapara et al. 60 99%
LINBLT2 Uncultured bacterium AF280825 Anaerobic digestor treating pharmaceutical wastes Lapara et al. 60 98%
LIND4FT1 Caloramator coolhaasii AF104215 Anaerobic thermophilic granular sludge Plugge et al. 61 96%
LIND8HT Lutispora thermophila AB186360 Thermophilic bioreactor digesting municipal solid wastes Shiratori et al. 62 99%
LINBLT Clostridium thermosuccinogenes Y18180 Cattle manure, beet pulp, soil, sediment pond Stackebrandt et al. 72 98%
LINBHT2 Clostridium tertium Y18174 Open war wounds Stackebrandt et al. 72 98%
Mesophilic sulphate-reducing bacteria (37 °C)
LINBL Desulfobulbus propionicus AY548789 Fluidized-bed reactors treating acidic, metal-containing wastewater Kaksonen 67 99%
LINBH Desulfovibrio vulgaris AE017285 Soil, animal intestines and feces, fresh and salt water Heidelberg et al. 68 99%
LINBH2 Desulfovibrio vulgaris AE017285 Soil, animal intestines and feces, fresh and salt water Heidelberg et al. 68 99%
LINBA1 Desulfomicrobium baculatum AJ277895 Water-saturated manganese carbonate ore Hippe 73 99%
LINBH1 Desulfomicrobium baculatum AJ277895 Water-saturated manganese carbonate ore Hippe 73 99%
Thermophilic sulphate-reducing bacteria (55 °C)
LINBHT1a Desulfotomaculum halophilum U88891 Oil production facilities Tardy-Jacquenod et al. 69 89%

aThese strains were characterized and published LIND7H, 55 LIND6LT2 58 and LINDBHT1. 71

Fermentative bacterial communities in the bioreactor sludge

Strains LINBA, LINBL1, LINBA2 are closest phylogenetically to Clostridium sp. D3RC-2 with a percentage sequence similarity of 99%. This bacterium was firstly detected in the rumen of a yak in China47,48 but it is not yet described. The strain LIND8A shares 96% of sequences with Clostridium sp. D3RC-2. This strain seems to be a new species and differs from the latter. The strain LIND8L2 has also been recently affiliated with Clostridia species. LIND8L2 is a strain similar to Clostridium novyi with 96% sequence similarity. C. novyi is a pathogenic bacterium phylogenetically close to C. botulinum and C. haemolyticum.49 The nearest strain to LIND8A is Clostridium sp 13A1, previously isolated from an anaerobic bioreactor treating cellulose wastes,50 with 99% sequence similarity. The closest phylogenetic relatives of the strain LIND7HT are Parabacteroides merdae,51P. goldsteinii52,53 and P. gordonii,54 with 91.4%, 91.3% and 91.2% sequence similarity, respectively. This novel strain was identified and characterised by Jabari et al.55 On the basis of phylogenetic inference and phenotypic properties, LIND7HT is proposed as the type strain of a novel genus and species within the family Porphyromonadaceae, Macellibacteroides fermentans gen. nov., sp. nov.

Strains isolated in mesophilic conditions were determined to belong to Firmicutes and Bacteroidetes, which are known for their fermentative activity and which are the two groups mainly encountered in the study by Godon et al.8 on an anaerobic digestor. They hydrolyse the polymer substrates not degraded during the stages of remediation (such as polysaccharides, proteins and lipids) to acetate, long chain fatty acids, CO2, formate and hydrogen.

The isolation of fermentative, thermophilic bacteria obtained some strains classified as “uncultured bacterium” indicating they cannot be grown on synthetic material in a laboratory. These strains are LIND6LT2, LIND8AT, LINBAT1 and LINBLT2. The strain LIND6LT2 was detected in an anaerobic digestor treating solid waste in thermophilic conditions.56 The closest phylogenetic relative to this strain is Parasporobacterium paucivorans with 87.17% sequence similarity.57 This novel strain was initially identified and characterised by Jabari et al.58 On the basis of phylogenetical and physiological properties, the strain LIND6LT2T is proposed as the strain type of Defluviitalea saccharophila gen. nov., sp. nov., placed in Defluviitaleaceae fam. nov., within the phylum Firmicutes, class Clostridia, order Clostridiales. The strain LIND8AT has 97% similarity with a strain classified as uncultivable bacterium, probably involved in metal reduction.59

According to the phylogenetic tree (Fig. 2), the strains LINBAT1 and LINBLT2 are phylogenetically close. These sequences were also identified within an anaerobic digestor treating pharmaceutical wastes.60 The closest relative to strain LIND4FT1 is Caloramator coolhaasii, with 96% sequence similarity which suggests that this strain is a new species. C. coolhaasii has been isolated from an anaerobic granular sludge bioreactor that degrades glutamate. It is moderately thermophilic and strictly anaerobic.61 LIND8HT strain is close to Lutispora thermophile,62 with 99% sequence similarity which is firstly isolated from an enrichment culture derived from an anaerobic thermophilic bioreactor treating artificial solid wastes. Strains LINBLT and LINBHT2 were affiliated with C. tertium and C. thermosuccinogenes, respectively, each with 98% sequence similarity.

Fig. 2 Phylogenetic tree based on the gene encoding the 16S RNA showing the positioning of fermentative mesophilic and thermophilic bacteria isolated from the anaerobic digestor. 

The mesophilic and thermophilic fermentative strains which were isolated were also designated to the group Firmicutes, which seems to be the most abundant group in our anaerobic digestor. Almost all isolates were represented by Clostridium species. This is not surprising, because during the hydrolysis phase in bioreactors, macromolecules such as polysaccharides, lipids, proteins and nucleic acids are cleaved, typically by specific extracellular enzymes, producing monomers (monosaccharides, fatty acids, amino acids and nitrogen bases) which are transported into the cell where they are fermented. The bacteria involved in this stage have a strictly anaerobic or facultative metabolism. During the acidogenesis phase, these monomers are metabolised by fermentative microorganisms to primarily produce volatile fatty acids (acetate, propionate, butyrate, isobutyrate, valerate and isovalerate), but also alcohols, sulphide (H2S), CO2 and hydrogen. Acidogenesis leads to simplified products of fermentation, and the bacteria involved in this step may be facultative or strictly anaerobic. Strictly anaerobic bacteria of the genus Clostridium are often a large fraction of the population participating in the anaerobic step of acid formation.

Fermentative bacteria were abundant, particularly the proteolytic Clostridium species. These species hydrolyse proteins to polypeptides and amino acids, while lipids are hydrolysed via oxidation to long-chain fatty acids, and glycerol and polycarbohydrates are hydrolysed to sugars and alcohols. After that, fermentative bacteria convert the intermediates to volatile fatty acids, hydrogen and CO2.6

Sulphate-reducing bacterial communities in the sludge bioreactor

Sulphate-reducing bacteria were isolated in mesophilic and thermophilic conditions on various substrates. In anaerobic digestion, the acidogenesis products are converted into acetate and hydrogen in the acetogenesis phase. The hydrogen is normally used by the microbial community's methanogenic hydrogenophiles to reduce CO2 to methane (CH4) while acetate is converted by methanogenic acetoclastes to CH4.

The presence of sulphate in the medium may change the flow of the substrate available for methanogens. In fact, the SRB may oxidise a portion of the substrate (mainly via the hydrogen) using sulphate as an electron acceptor. In such situations, the substrate is converted to sulphur if the pH of the medium is acidic. These methanogenic bacteria can therefore compete with other bacterial groups such as sulphate-reducing bacteria.63 The SRB may also be involved in the hydrolysis64 and acetogenesis steps.65 In addition, the SRB are known to play a key role in the biodegradation of a number of environmental pollutants.66

The strain LINDBL, isolated at 37 °C (Table 4) in the presence of 20 mM lactate, is most closely related to Desulfobulbus propionicus with a 99% sequence similarity. D. propionicus was first isolated from a fluidised bed bioreactor treating effluent containing acid and metals.67 Strains LINDBH and LINDBH2 were affiliated phylogenetically to Desulfovibrio vulgaris with 99% sequence similarity. Both strains were isolated at 37 °C on basal medium supplemented with H2CO2 (2 bars) as a substrate. D. vulgaris is used as a model for the study of SRB to analyse the mechanisms of metal corrosion and to treat toxic metal ions from the environment.68

LINDBA1 and LINDBHT1 are two mesophilic strains that were isolated on basal medium for SRB using two different substrates, the first one in the presence of 20 mM acetate and the second one in the presence of H2CO2 (at 2 bars). These strains have Desulfomicrobium baculatum as their closest relative, with 99% sequence similarity. Phylogenetic analysis demonstrated that the strain LINDBHT1T belonged within the genus Desulfotomaculum. This strain (LINDBHT1T) had Desulfotomaculum halophilum69 and Desulfotomaculum alkaliphilum70 as its closest phylogenetic relatives with approximately 89% sequence similarity. LINDBHT1T is a novel anaerobic thermophilic sulphate-reducing bacterium. This bacterium constitutes a new species of the genus Desulfotomaculum, D. peckii71 (Fig. 3).

Fig. 3 Phylogenetic tree based on the gene encoding the 16S RNA showing the positioning of SRB isolated from the anaerobic digestor. 

Various SRB were isolated from the anaerobic digestor which shows that they are involved in the degradation process. In order to gain an overall idea of the cultivable bacterial diversity of the digestor, we grouped all of the bacteria isolated on to the same phylogenetic tree (Fig. 4).

Fig. 4 Phylogenetic tree based on the 16S RNA gene of bacteria isolated from digestor treating abattoir wastewaters. 

Analysis of the microbial populations obtained from the anaerobic sludge samples in both mesophilic and thermophilic conditions led to the isolation of many morphologically distinct bacteria. Molecular and microbial analyses showed that fermentative bacteria (primarily Clostridium spp. and Parabacteroides spp.), Desulfobulbus spp., Desulfomicrobium spp., Desulfovibrio ssp. and Desulfotomaculum ssp. were the prominent members of the bacterial community in the bioreactor (Fig. 4). The diversity of the microbial community within the digestor may reflect the metabolic diversity of microorganisms involved in anaerobic digestion. The interactions of this complex microbial community allows for complete degradation of natural polymers such as polysaccharides, proteins, lipids and nucleic acids into methane and carbon dioxide.


In conclusion, the use of both bacterial culture and molecular techniques enabled us to establish a picture of the existing microbial biodiversity in an anaerobic digestor. The culture approach was essential, especially with regard to culture and/or isolation of microorganisms with no known cultivable representative. Further research in this area can only improve our knowledge of microbial anaerobic digestors, including the role of different microbial populations involved in anaerobic degradation of waste, which will improve control of these treatment processes. A comprehensive molecular inventory would also support and complement our study of the microbial diversity of anaerobic cultures as it would link information on the diversity and function of microbial communities in their environment.

Associate Editor: Welington Luiz de Araújo


1 Chasteen TG, Fuentes DE, Tantaleán JC, Vásquez CC. Tellurite: history, oxidative stress, and molecular mechanisms of resistance. FEMS Microbiol Rev. 2009;33:820-832; Chen YT, Chang HY, Lai YC, Pan CC, Tsai SF, Peng HL. Sequencing and analysis of the large virulence plasmid pLVPK of Klebsiella pneumoniae CG43. Gene. 2004;337:189-198; Scherr KE, Lundaa T, Klose V Bochmann G, Loibner AP Changes in bacterial communities from anaerobic digesters during petroleum hydrocarbon degradation. J Biotechnol. 2012;157:564-572; Palatsi J, Vinas M, Guivernau M, Fernandez B, Flotats X. Anaerobic digestion of slaughterhouse waste: main process limitations and microbial community interactions. Bioresour Technol. 2011;102:2219-2227. [ Links ]

2 Hassan AN, Nelson BK. Invited review: anaerobic fermentation of dairy food wastewater. J Dairy Sci. 2012;95:6188-6203. [ Links ]

3 Chartrain M, Bhatnagar L, Zeikus JG. Microbial ecophysiology of whey biomethanation: comparison of carbon transformation parameters, species composition, and starter culture performance in continuous culture. Appl Environ Microbiol. 1987;53:1147-1156. [ Links ]

4 Boone DR, Castenholz RW. Bergey's Manual of Systematic Bacteriology. vol. 1, 2nd ed. New York, NY: Springer-Verlag; 2001. [ Links ]

5 Khelifi E, Bouallagui H, Fardeau ML, et al. Fermentative and sulphate-reducing bacteria associated with treatment of an industrial dye effluent in an up-flow anaerobic fixed bed bioreactor. Biochem Eng J. 2009;45:136-144. [ Links ]

6 Gannoun H, Khelifi E, Omri I, et al. Microbial monitoring by molecular tools of an upflow anaerobic filter treating abattoir wastewaters. Bioresour Technol. 2013;142:269-277. [ Links ]

7 Gannoun H, Bouallagui H, Okbi A, Sayadi S, Hamdi M. Mesophilic and thermophilic anaerobic digestion of biologically pretreated abattoir wastewaters in an upflow anaerobic filter. J Hazard Mater. 2009;170:263-271. [ Links ]

8 Godon JJ, Zumstein E, Dabert P, Habouzit F. Moletta R. Molecular microbial diversity of an anaerobic digestor as determined by small-subunit rDNA sequence analysis. Appl Environ Microbiol. 1997;63:2802-2813. [ Links ]

9 Delbès C, Moletta R, Godon J. Bacterial and archaeal 16S rDNA and 16S rRNA dynamics during an acetate crisis in an anaerobic digestor ecosystem. FEMS Microbiol Ecol. 2001;35:19-26. [ Links ]

10 Wolcott RD, Gontcharova V, Sun YZischakau A, Dowd SE. Bacterial diversity in surgical site infections: not just aerobic cocci any more. J Wound Care. 2009;18:317-323. [ Links ]

11 Bailey MT, Dowd SE, Parry NM, Galley JD, Schauer DB, Lyte M. Stressor exposure disrupts commensal microbial populations in the intestines and leads to increased colonization by Citrobacter rodentium. Infect Immun. 2010;78:1509-1519. [ Links ]

12 Finegold SM, Dowd SE, Gontcharova V, et al. Pyrosequencing study of fecal microflora of autistic and control children. Anaerobe. 2010;16:444-453. [ Links ]

13 Gontcharova V,Youn E, Sun Y,Wolcott RD, Dowd SE. A comparison of bacterial composition in diabetic ulcers and contralateral intact skin. Open Microbiol J. 2010;4:8-19. [ Links ]

14 Pitta DW, Pinchak E, Dowd SE, et al. Rumen bacterial diversity dynamics associated with changing from bermudagrass hay to grazed winter wheat diets. Microb Ecol. 2010;59:511-522. [ Links ]

15 Dowd SE, Callaway TR, Wolcott RD, et al. Evaluation of the bacterial diversity in the feces of cattle using 16S rDNA bacterial tag-encoded FLX amplicon pyrosequencing (bTEFAP). BMC Microbiol. 2008;8:125. [ Links ]

16 Dowd SE, Sun Y, Wolcott RD, Domingo A, Carroll JA. Bacterial tag-encoded FLX amplicon pyrosequencing (bTEFAP) for microbiome studies: bacterial diversity in the ileum of newly weaned Salmonella-infected pigs. Foodborne Pathog Dis. 2008;5:459-472. [ Links ]

17 Edgar RC. Search and clustering orders of magnitude faster than BLAST. Bioinformatics. 2010;26:2460-2461. [ Links ]

18 Capone KA, Dowd SE, Stamatas GN, Nikolovski J. Diversity of the human skin microbiome early in life. J Invest Dermatol. 2011;131:2026-2032. [ Links ]

19 Dowd SE, Delton Hanson J, Rees E, et al. Survey of fungi and yeast in polymicrobial infections in chronic wounds. J Wound Care. 2011;20:40-47. [ Links ]

20 Eren AM, Zozaya M, Taylor CM, Dowd SE, Martin DH, Ferris MJ. Exploring the diversity of Gardnerella vaginalis in the genitourinary tract microbiota of monogamous couples through subtle nucleotide variation. PLoS ONE. 2011;6:e26732. M10. [ Links ]

21 Swanson KS, Dowd SE, Suchodolski JS, et al. Phylogenetic and gene-centric metagenomics of the canine intestinal microbiome reveals similarities with humans and mice. ISME J. 2011;5:639-649. [ Links ]

22 DeSantis TZ, Hugenholtz P, Larsen N, et al. Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl Environ Microbiol. 2006;72:5069-5072. [ Links ]

23 Hungate RE. A roll tube method for cultivation of strict anaerobes In: Norris JR, Ribbons DW, eds. Methods in Microbiology. vol. 3B. New York, USA: Academic Press; 1969:117-132. [ Links ]

24 Thabet OB, Fardeau ML, Joulian C, et al. Clostridium tunisiense sp. nov., a new proteolytic, sulfur-reducing bacterium isolated from an olive mill wastewater contaminated by phosphogypse. Anaerobe. 2004;10:185-190. [ Links ]

25 Hall TA. BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symp Ser. 1999;41:95-98. [ Links ]

26 Altschul SF, Gish WMiller WMyers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990;215:403-410. [ Links ]

27 Cole JR, Wang Q, Cardenas E, et al. The ribosomal database project: improved alignments and new tools for rRNA analysis. Nucleic Acids Res. 2009;37(Database issue):D141-D145. [ Links ]

28 Winker S, Woese CR. A definition of the domains Archaea, Bacteria and Eucarya in terms of small subunit ribosomal RNA characteristics. Syst Appl Microbiol. 1991;14:305-310. [ Links ]

29 Jukes TH, Cantor CR. Evolution of protein molecules. In: Munro HN, ed. Mammalian Protein Metabolism. New York, USA: Academic Press; 1969:21-132. [ Links ]

30 Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4:406-425. [ Links ]

31 Felsenstein J. Confidence limits on phylogenies: an approach using the bootstrap. Evolution. 1985;39:783-791. [ Links ]

32 Simpson EH. Measurement of diversity. Nature. 1949;163:688. [ Links ]

33 Giovannoni SJ, Rappé M. Evolution, diversity, and molecular ecology of marine prokaryotes. In: Kirchman DL, ed. Microbial Ecology ofthe Oceans. New York, NY: John Wiley & Sons, Inc.; 2000:47-84. [ Links ]

34 Zwart G, Crump BC, Kamst-Van Agterveld MP, Hagen F, Han SK. Typical freshwater bacteria: an analysis of available 16S rRNA gene sequences from plankton of lakes and rivers. Aquat Microb Ecol. 2002;28:141-155. [ Links ]

35 Crocetti GR, Hugenholtz P Bond PL, et al. Identification of polyphosphate-accumulating organisms and design of 16S rRNA-directed probes for their detection and quantitation. Appl Environ Microbiol. 2000;66:1175-1182. [ Links ]

36 Huber R, Langworthy TA. Thermotoga maritima sp. Nov. represents a new genu of unique extremely thermophilic eubacteria growing up to 90 °C. Arch Microbiol. 1986;144:324-333. [ Links ]

37 Neef A, Amann R, Schlesner H, Schleifer KH. Monitoring a widespread bacterial group: in situ detection of planctomycetes with 16S rRNA-targeted probes. Microbiology. 1998;144(Pt 12):3257-3266. [ Links ]

38 Chouari R, Le Paslier D, Daegelen PGinestet P, Weissenbach J, Sghir A. Molecular evidence for novel planctomycete diversity in a municipal wastewater treatment plant. Appl Environ Microbiol. 2003;69:7354-7363. [ Links ]

39 Elshahed MS, Youssef NH, Luo Q, et al. Phylogenetic and metabolic diversity of Planctomycetes from anaerobic, sulfide-and sulfur-rich Zodletone Spring, Oklahoma. Appl Environ Microbiol. 2007;73:4707-4716. [ Links ]

40 Hug LA, Castelle CJ, Wrighton KC, et al. Community genomic analyses constrain the distribution of metabolic traits across the Chloroflexi phylum and indicate roles in sediment carbon cycling. Microbiome. 2013;1:22. [ Links ]

41 Tang Y,Shigematsu T, Morimura S, Kida K. Microbial community analysis of mesophilic anaerobic protein degradation process using bovine serum albumin (BSA)-fed continuous cultivation. J Biosci Bioeng. 2005;99:150-164. [ Links ]

42 Fang HHP, Liang DW, Zhang T, Liu Y.Anaerobic treatment of phenol in wastewater under thermophilic condition. Water Res. 2006;40:427-434. [ Links ]

43 Zumstein E, Moletta R, Godon JJ. Examination of two years of community dynamics in an anaerobic bioreactor using fluorescence polymerase chain reaction (PCR) single-strand conformation polymorphism analysis. Environ Microbiol. 2000;2:69-78. [ Links ]

44 Keskes S, Hmaied F. Gannoun H, Bouallagui H, Godon JJ, Hamdi M. Performance of a submerged membrane bioreactor for the aerobic treatment of abattoir wastewater. Bioresour Technol. 2012;103:28-34. [ Links ]

45 Begon M, Harper JL, Townsend CR. Ecology:Individuals, Populations and Communities. 2nd ed. Boston, MA: Blackwell Scientific Publications; 1990:945. [ Links ]

46 Woese CR. Bacterial evolution. Microbiol Rev. 1987;51:221-271. [ Links ]

47 Zhang K. Clostridium sp. from yak rumen in China. Unpublished. 2006. [ Links ]

48 Zhang K, Song L, Dong X. Proteiniclasticum ruminis gen. nov., sp. nov., a strictly anaerobic proteolytic bacterium isolated from yak rumen. Int J Syst Evol Microbiol. 2010;60(Pt 9):2221-2225. [ Links ]

49 Sasaki Y,Takikawa N, Kojima A, Norimatsu M, Suzuki S, Tamura Y.Phylogenetic positions of Clostridium novyi and Clostridium haemolyticum based on 16S rDNA sequences. Int J Syst Evol Microbiol. 2001;51(Pt 3):901-904. [ Links ]

50 Burrell PC. The isolation of novel anaerobic cellulolytic bacteria from a landfill leachate bioreactor. Unpublished. 2004. [ Links ]

51 Johnson JL, Moore WEC, Moore LVH. Bacteroides caccae sp. nov., Bacteroides merdae sp. nov., and Bacteroides stercoris sp. nov. isolated from human feces. Int J Syst Bacteriol. 1986;36:499-501. [ Links ]

52 Song Y,Liu C, Lee J, Bolanos M, Vaisanen ML, Finegold SM. Bacteroides goldsteinii sp. nov. isolated from clinical specimens of human intestinal origin. J Clin Microbiol. 2005;43:4522-4527. [ Links ]

53 Sakamoto M, Benno Y.Reclassification of Bacteroides distasonis, Bacteroides goldsteinii and Bacteroides merdae as Parabacteroides distasonis gen. nov., comb. nov., Parabacteroides goldsteinii comb. nov. and Parabacteroides merdae comb. nov. Int J Syst Evol Microbiol. 2006;56(Pt 7):1599-1605. [ Links ]

54 Sakamoto M, Suzuki N, Matsunaga N, et al. Parabacteroides gordonii sp. nov., isolated from human blood cultures. IntJ Syst Evol Microbiol. 2009;59(Pt 11):2843-2847. [ Links ]

55 Jabari L, Gannoun H, Cayol JL, et al. Characterization of Defluviitalea saccharophila gen. nov., sp. nov., a thermophilic bacterium isolated from an upflow anaerobic filter treating abattoir wastewaters, and proposal of Defluviitaleaceae fam. nov. IntJ Syst Evol Microbiol. 2012;62(Pt 3):550-555. [ Links ]

56 Li T. Microbial functional groups in a thermophilic anaerobic solid waste digestor revealed by stable isotope probing. Unpublished. 2007. [ Links ]

57 Lomans BP, Leijdekkers P Wesselink JJ, et al. HJ. Obligate sulfide-dependent degradation of methoxylated aromatic compounds and formation of methanethiol and dimethyl sulfide by a freshwater sediment isolate, Parasporobacterium paucivorans gen. nov., sp. nov. Appl Environ Microbiol. 2001;67:4017-4023. [ Links ]

58 Jabari L, Gannoun H, Cayol JL, et al. Macellibacteroides fermentans gen. nov., sp. nov., a member of the family Porphyromonadaceae isolated from an upflow anaerobic filter treating abattoir wastewaters. IntJ Syst Evol Microbiol. 2012;62(Pt 10):2522-2527. [ Links ]

59 Brodie EL, Desantis TZ, Joyner DC, et al. Application of a high-density oligonucleotide microarray approach to study bacterial population dynamics during uranium reduction and reoxidation. Appl Environ Microbiol. 2006;72:6288-6298. [ Links ]

60 LaPara TM, Nakatsu CH, Pantea L, Alleman JE. Phylogenetic analysis of bacterial communities in mesophilic and thermophilic bioreactors treating pharmaceutical wastewater. Appl Environ Microbiol. 2000;66:3951-3959. [ Links ]

61 Plugge CM, Zoetendal EG, Stams AJ. Caloramator coolhaasii sp. nov., a glutamate-degrading, moderately thermophilic anaerobe. Int J Syst Evol Microbiol. 2000;50(Pt 3):1155-1162. [ Links ]

62 Shiratori H, Ohiwa H, Ikeno H, et al. Lutispora thermophila gen. nov., sp. nov., a thermophilic, spore-forming bacterium isolated from a thermophilic methanogenic bioreactor digesting municipal solid wastes. Int J Syst Evol Microbiol. 2008;58(Pt 4):964-969. [ Links ]

63 Garcia JL, Patel BK, Ollivier B. Taxonomic, phylogenetic, and ecological diversity of methanogenic Archaea. Anaerobe. 2000;6:205-226. [ Links ]

64 McInerney MJ. Anaerobic hydrolis and fermentatio of fats and proteins. In: Zehnde AJ, ed. Biology of Anaerobic Microorganisms. New York, USA: John Wiley and Sons, Inc.; 1988:373-415. [ Links ]

65 DolfingJ. Acetogenesis. In: Zehnder AJB, ed. Biology of anaerobic microorganisms. New York, USA: John Wiley and Sons, Inc.; 1988:417-468. [ Links ]

66 Ensley BD, Suflita JM. Metabolism of environmental contaminants by mixed and pure cultures of sulfate reducing bacteria. In: Barton LL, ed. Sulfate Reducing Bacteria. vol. 8. New York, USA: Peplum Press; 1995:293-332. [ Links ]

67 Kaksonen AH. Diversity and community fatty acid profiling of sulfate-reducing fluidized-bed reactors treating acidic, metal-containing wastewater. Geomicrobiol J. 2004;21: 469-480. [ Links ]

68 Heidelberg JF, Seshadri R, Haveman SA, et al. The genome sequence of the anaerobic, sulfate-reducing bacterium Desulfovibrio vulgaris Hildenborough. Nat Biotechnol. 2004;22:554-559. [ Links ]

69 Tardy-Jacquenod C, Magot M, Patel BKC, Matheron R, Caumette P. Desulfotomaculum halophilum sp. nov., a halophilic sulfate-reducing bacterium isolated from oil production facilities. Int J Syst Bacteriol. 1998;48(Pt 2):333-338. [ Links ]

70 Pikuta E, Lysenko A, Suzina N, et al. Desulfotomaculum alkaliphilum sp. nov., a new alkaliphilic, moderately thermophilic, sulfate-reducing bacterium. Int J Syst Evol Microbiol. 2000;50(Pt 1):25-33. [ Links ]

71 Jabari L, Gannoun H, Cayol JL, et al. Desulfotomaculum peckii sp. nov., a moderately thermophilic member of the genus Desulfotomaculum, isolated from an upflow anaerobic filter treating abattoir wastewaters. IntJ Syst Evol Microbiol. 2013;63(Pt 6):2082-2087. [ Links ]

72 Stackebrandt E, Kramer I, Swiderski J, Hippe H. Phylogenetic basis for a taxonomic dissection of the genus Clostridium. FEMS Immunol Med Microbiol. 1999;24:253-258. [ Links ]

73 Hippe H. Reclassification of Desulfobacterium macestii as a member of the genus Desulfomicrobium: Desulfomicrobium macestense comb. nov., nom. Corrig. Unpublished. 2000. [ Links ]

Received: September 19, 2014; Accepted: July 6, 2015

*Corresponding author. E-mail: (M.-L. Fardeau).

Conflicts of interest

The authors have no conflict of interest to declare.

Creative Commons License This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-commercial No Derivative License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium provided the original work is properly cited and the work is not changed in any way.