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. 2012 Oct 25;7(10):e48018. doi: 10.1371/journal.pone.0048018

Phylogenetic Analysis of Microbial Communities in Different Regions of the Gastrointestinal Tract in Panaque nigrolineatus, a Wood-Eating Fish

Ryan McDonald 1, Harold J Schreier 2, Joy E M Watts 3,*
Editor: Jacques Ravel4
PMCID: PMC3485024  PMID: 23133540

Abstract

The Neotropical detritivorous catfish Panaque nigrolineatus imbibes large quantities of wood as part of its diet. Due to the interest in cellulose, hemi-cellulose and lignin degradation pathways, this organism provides an interesting model system for the detection of novel microbial catabolism. In this study, we characterize the microbial community present in different regions of the alimentary tract of P. nigrolineatus fed a mixed diet of date palm and palm wood in laboratory aquaria. Analysis was performed on 16S rRNA gene clone libraries derived from anterior and posterior regions of the alimentary tract and the auxiliary lobe (AL), an uncharacterized organ that is vascularly attached to the midgut. Sequence analysis and phylogenetic reconstruction revealed distinct microbial communities in each tissue region. The foregut community shared many phylotypes in common with aquarium tank water and included Legionella and Hyphomicrobium spp. As the analysis moved further into the gastrointestinal tract, phylotypes with high levels of 16S rRNA sequence similarity to nitrogen-fixing Rhizobium and Agrobacterium spp. and Clostridium xylanovorans and Clostridium saccharolyticum, dominated midgut and AL communities. However, the hindgut was dominated almost exclusively by phylotypes with the highest 16S rRNA sequence similarity to the Cytophaga-Flavobacterium-Bacteroides phylum. Species richness was highest in the foregut (Chao1 = 26.72), decreased distally through the midgut (Chao1 = 25.38) and hindgut (Chao1 = 20.60), with the lowest diversity detected in the AL (Chao1 = 18.04), indicating the presence of a specialized microbial community. Using 16S rRNA gene phylogeny, we report that the P. nigrolineatus gastrointestinal tract possesses a microbial community closely related to microorganisms capable of cellulose degradation and nitrogen fixation. Further studies are underway to determine the role of this resident microbial community in Panaque nigrolineatus.

Introduction

Loricariidae catfish are a diverse group, consisting of over 600 species found predominantly in freshwater ecosystems of the Neotropics [1]. The Loricariidae inhabit a wide range of trophic levels and are generally believed to be omnivorous [2]. The xylivorous Loricariidae have unique musculature around the suckermouth and robust, fully mineralized, spoon-shaped teeth [2], [3], [4]; both adaptations are believed to allow the fish to adhere to and ingest submerged woody materials. Stable isotope evidence supports wood ingestion throughout the lifetime of the fish [5], [6], which may also provide a selective advantage during the Amazonian dry season when river nutrient input is limited [7].

Analysis of the gut content of several species of Panaque indicates that wood constitutes the majority (up to 75%) of the digesta from fish in the field [8], [9], [10]. However, recent studies examining gut transit time, digestive enzyme activity levels, and concentration of fermentative end-products have determined that Panaque are detritivores and do not obtain energy from the digestion of wood [9], [10]. Although the fish cannot digest wood directly, they imbibe microbes associated with the wood and microbial by-products produced during wood breakdown within the GI tract [6]. However, the inability to detect a resident microbial community using microscopy [9] raised interesting questions about this ecological niche and its colonization. Panaque contain a long GI tract, which is as much as ten times body length [11], providing many different microenvironments. Highly enriched in cellulose and other wood components, the P. nigrolineatus GI tract provides a novel environment with the potential to yield new cellulose degrading microorganisms and pathways.

Due to its ubiquity, microbial cellulose utilization is one of the largest energy flow pathways in the biosphere [12]. Cellulose degradation is a widely distributed activity within bacterial genera [13], and can occur either aerobically or anaerobically [14]. Although cellulose degradation activities have been detected in a wide range of microbes, it requires specialized enzymes due to the presence of β-1,4 glycosidic linkages that join the repeating glucose monomers [15]. Other biopolymers present in wood (e.g. lignin) increase cellulose recalcitrance to microbial attack [16].

The nitrogen-limiting nature of wood also poses a physiological challenge to xylivorous organisms. The nitrogen content of mature structural wood is significantly less (0.5–1.5% as litter) [17] than that of primary consumers (5.6–12.6% dry weight) [18]. Therefore, xylivorous organisms must supplement their diet with additional nitrogen sources or selectively eliminate carbonaceous compounds from their body. For all well characterized xylophagic systems, including marine wood-boring bivalves and lower termites, the former scenario holds true, with each possessing at least one endosymbiotic bacterial species capable of nitrogen fixation [19], [20]. These symbionts reduce atmospheric molecular nitrogen to ammonia that can be assimilated by the host. The nature of these symbioses are highly variable and range from very narrow communities housed in specialized tissues (shipworms and Tetraponera ants) [21], [22], [23] to complex mixed microbial communities located throughout the entirety of the GI tract (termites) [24]. Previous studies examining the nitrogen balance in P. nigrolineatus revealed higher levels of nitrogen in the waste than the ingested wood [9] and an increase in microbially fixed nitrogen within fish tissue using stable isotopes [6], underscoring the interest in any resident diazatrophic community.

In this study, we examined 16S rRNA gene clone libraries created from the microbial communities associated with the foregut, midgut, hindgut, and auxiliary lobe (AL) of P. nigrolineatus. Our results reveal the presence of diverse and different communities in these GI tract regions, providing insight into the diversity of microbial community and identifying members having the potential to degrade cellulose and fix molecular nitrogen.

Materials and Methods

Study Organisms and Acclimation

Panaque nigrolineatus (L-190) were imported from the Peruvian Amazon jungle basin from the fish wholesaler Aquascapesonline (Belleville, NJ) without antibiotics. Fish were acclimated in individual, filtered and aerated tanks, kept at a temperature of 29±1°C. Fish were fed a mixed diet of hearts of palm (Euterpe precatoria), algae pellets (Hikari Tropical Sinking Algae Wafers®, Hayward, CA), and date palm wood (Phoenix dactylifera) during an acclimation period of three weeks. Fish were randomly assigned to tanks and fish smaller than 40 mm (standard length) were excluded from the analysis. For the duration of the experiment, fish were fed a mixed diet in which palm hearts and algae were provided every second day while wood was constantly available. To eliminate contamination and to facilitate accessibility to the fish via water saturation, wood was thoroughly soaked in water and autoclaved three times prior to placement in the tank. Fish were reared under dark/low light conditions to inhibit algal growth, although tanks were open to the environment under non-sterile conditions. Fish were maintained under these conditions for four weeks prior to termination.

Ethics Statement

Fish were maintained and sacrificed under strict accordance with the recommendations of the IACUC protocol to minimize suffering, approved by the Committee on the Ethics of Animal Experiments of the University of Maryland (071509JW-01).

Tissue Sampling

At the conclusion of the feeding period, three fish were sacrificed by anesthetic overdose in 50 mg L−1 3-aminobenzoic acid ethyl ester (MS-222), (Sigma Chemical Co., St. Louis, MO). Animals were dissected immediately; as soon as the ventral body plate was removed, ice cold sterile phosphate buffered saline (PBS) was added to the abdominal cavity and 1.0 cm sections of the foregut, midgut, and hindguts as well as the whole AL were collected. Any digesta and associated bacteria present in the lumen of the sampled tissue was included in subsequent analyses. From the tanks that had housed the fish 160 ml of water and sediment were collected. The tank water/sediment was centrifuged (10,000 g for 15 min.) and the supernatant was discarded. The pellet and tissue sections were stored at −80°C prior to DNA extraction.

Tissue Digestion and Microbial DNA Extraction

Tissue samples were digested using the Roche High Pure Template Preparation Kit (Indianapolis, IN). The protocol was modified to include steps from both mammalian and bacterial DNA extraction. Briefly, tissue (including digesta) was incubated in 200 µl tissue lysis buffer and 40 µl proteinase K solution for one hr at 55°C. To this solution, 5 µl lysozyme (10 mg/ml) was added and incubated for 15 min. at 37°C. Finally, 200 µl binding buffer and 40 µl proteinase K solution was added followed by a 10 min. incubation at 70°C.

Cloning and Bacterial Transformation

Microbial community 16S rRNA genes were amplified using universal bacterial primers 27F (5′-AGAGTTTGATCMTGGCTCAG-3′) [25] and 1392R (5′-ACGGGCGGTGTGTAC-3′) [26]. Amplification was performed using a BioRad MJ Mini thermal cycler with GoTaq Green Master Mix (Promega, Madison, WI). PCR program parameters were: initial denaturation step of 3 min. at 94°C followed by 30 cycles of denaturation for 1 min at 94°C, annealing for 1.5 min at 58°C, elongation for 1.5 min at 72°C, followed by a final elongation for 10 min at 72°C. The size and yield of the PCR products were verified by gel electrophoresis. Amplified 16S rRNA genes were ligated into pCR 2.1 vector (Invitrogen, Carlsbad, CA) according to the manufacturer’s instructions and ligation products were transformed into One Shot Top 10 chemically competent cells (Invitrogen, Carlsbad, CA).

Sequencing and Phylogenetic Analysis

Clones from each fish tissue region were pooled to yield between 100–110 clones per library. Plasmid preparation and sequencing was performed by Functional Biosciences, Inc. (Madison, WI). Sequences were trimmed automatically using a Phred quality score of 20 as the threshold, followed by manual editing. Contigs were assembled using the CAP3 contig assembly program (Huang and Madan, 1999) and checked for chimeric sequences using Greengenes [27]. Full contigs were used as search queries on Basic Local Alignment Search Tool (BLAST) [28]. The search was optimized for somewhat similar sequences (BLASTn) and environmental and metagenomic sequences were eliminated from the search. Each unknown operational taxonomic unit (OTU) was binned according the percent similarity to previously uploaded sequences. Sequences were aligned pairwise to E. coli automatically in PHYDIT (Chun, 1995) followed by manual adjustment. Aligned sequences were imported into MacClade version 4.0 (Maddison and Maddison, 2000) to generate the PAUP block necessary for phylogenetic analysis. Phylogenies were reconstructed by Bayesian inference using the MrBayes program [29]. Each clone library was analyzed independently with the number of generations and burn-in value determined by the number of generations to reach stationarity. Sequences were deposited in GenBank with accession numbers JF681377–JF681782.

Diversity Indices and Rarefaction Analysis

To examine changes in community composition across tissue regions, OTUs were binned to genus according to their closest match in GenBank and analyzed by different diversity indices. Simpson’s Diversity Index (D) [30] and Choa1 estimators [31] were applied, allowing non-parametric estimates of species richness [32], [33]. Clone library community coverage was determined using values calculated from the Chao1 estimates by dividing the observed genera by the predicted richness. As an additional means of assessing biodiversity, rarefaction analyses were also performed allowing comparisons of species richness across communities with different sample sizes by plotting species richness as a function of the number of sequences.

Results

16S rRNA Gene Library Distribution and Diversity

Each 16S rRNA gene clone library was sequenced and analyzed for similarity using BLASTn [28] (Supplementary Tables 1–5). From this analysis OTUs were binned into taxonomic groupings allowing comparison of the different tissues (Fig. 1). Comparing OTU distributions for the different tissue types (Fig. 1), it can be observed that water had the highest diversity of OTUs and that the composition of the microbial community changed according to tissue type. Microbial community diversity decreased as samples were obtained from distal portions of the GI tract, with the midgut, hindgut and AL all displaying very different and specialized microbial communities (Fig. 1). Midgut- and AL-derived clone libraries were both dominated by sequences most closely related to Clostridia spp. and the Rhizobium/Agrobacterium group of Alphaproteobacteria. The 16S rRNA gene library derived from the hindgut appeared to be markedly different in composition to the midgut and AL, and was dominated by Flavobacterium sp. Some bacterial groups were present throughout the GI tract in low levels such as Planctomycetes sp., Rhizobium sp., Agrobacterium sp., and other members of the Alphaproteobacteria.

Table 1. Statistical analysis of 16S rRNA gene libraries.

Tank Water Foregut Midgut Hindgut AL
Sobs 37 18 13 15 13
SChao1 65.7 46.9 21.3 17.6 28.9
Coverage 56.48% 38.4% 61.2% 85.2% 45%
Simpson’s diversity index- D 0.165 0.084 0.023 0.027 0.029

Simpson diversity index and Choa1 nonparametric estimates were used to compare species diversity in the different regions of the GI tract. For Chao1 phylotype richness estimations, OTUs were binned to genera.

Figure 1. Abundance of bacterial genera from the various GI tract regions of P. nigrolineatus.

Figure 1

Relative abundance of bacterial genera identified by 16S rRNA gene cloning recovered from the various GI tract regions of P. nigrolineatus. OTUs were binned to genus according to their closest match in GenBank.

To better understand changes in microbial community diversity, Simpson’s diversity index and Choa1 estimations of diversity were applied to OTUs distributions (Table 1). Both indices revealed that tank water contained the most diverse microbial community. Diversity decreased sequentially in the foregut, midgut and hindgut, as these microbial communities were more specialized (Fig. 1 and Sup. Tables 1–5), with the lowest diversity detected in the AL and midgut. A considerable difference in OTU distribution and diversity between the tank water (65.7) and the AL (28.9) was detected using Choa1. These findings were further verified by the rarefaction analysis, which demonstrated that tank water had the highest detectable species richness and had not reached stationarity after ∼90 sequences, strongly suggesting that more intensive sampling would reveal a greater degree of species richness in the aquarium tank water (Fig. 2). Rarefaction curves for the AL, midgut, and hindgut were very similar, despite having very different predicted species richness based on Chao1 estimations (Fig. 2). This discrepancy may be a function of the weight Chao1 estimations places on unique (occurring once) and rare (occurring twice) OTUs in the analysis.

Figure 2. Mixed diet clone library rarefaction curves with OTUs binned to genus.

Figure 2

Rarefaction curves were calculated [36], allowing comparison of species richness across communities with different sample sizes by plotting the species richness as a function of the number of sequences.

Distribution of Putative Diazotrophic and Cellulolytic Species

Distinct and diverse putative diazotrophic communities were identified in both the tank water and GI tract of P. nigrolineatus. The most diverse community was detected in tank water, which comprised many species of the Beta- and Alpha- subclasses of Proteobacteria (Sup. Table 5). The most predominant OTU shared highest sequence similarity to Roseatales depolymerans, but, other Betaproteobacteria including Azonexus, Pelomonas, Ideonella, and Azospira sp. were also detected. Sequences with the closest similarity to nitrogen-fixing bacteria of the Alphaproteobacteria were less abundant, but, included Rhizobium, Agrobacterium, Sinorhizobium, and Devosia. In the GI tract and AL, the putative diazotrophic communities were almost exclusively members of the Alphaproteobacteria (Fig. 3). Similar to the tank water, these were predominantly representatives of Agrobacteriun, Rhizobium, Sinorhizobium, and Pleomorphomonas species.

Figure 3. Phylogenetic tree showing the relationship of sequences identified in the midgut clone library.

Figure 3

The tree was constructed using near full length (>1200 bp) 16S rRNA sequences using Bayesian inference (ngen = 15 000 000; BI = 12 500). Known sequences sharing highest sequence similarity were included in the phylogeny. Branch labels represent posterior probabilities (* denote branches with ≥97% posterior probability).

Putative cellulolytic species were identified in all libraries excluding the foregut. Diversity of potential cellulolytic microbes was low, and a number of OTUs had relatively low sequence similarity to known cellulolytic species. These included sequences closely related to Cytophaga hutchinsonii (89–92%) and Clostridium xylanovorans (95%) recovered from the midgut as well as Sporocytophaga myxococcoides (91–92%) recovered from both the midgut (Fig. 3) and hindgut. However, OTUs with high sequence similarity to known cellulose degraders were detected in the hindgut and AL clone libraries including Nesterenkonia flava (99%), Bacteroides xylanolyticus (99%), and Paenibacillus sp. PALXIL05 (98%). Only two putative cellulolytic species were identified in the tank water, Paenibacillus sp. PALXIL05 (the most frequently recovered OTU from the tank water, approximately ∼8% of the total clones) and Cytophaga hutchinsonii. Midgut and AL 16S rRNA gene libraries were dominated by a phylotype with high sequence similarity to Clostridium saccharolyticum, which comprised ∼52% and ∼40% of the clone libraries, respectively.

Phylogenetic Analysis

To better visualize OTU diversity in the various tissue regions, phylogenies were reconstructed using Bayesian inference. Included in the analyses were all cloned sequences (>400) as well as retrieved sequences that shared the greatest similarity over the full 1.2 Kb. Phylogenetic analyses for all samples are available in the supplementary material and the midgut analysis is shown in Fig.3. With the exception of tank water, OTUs generally had highest similarity clustered around few bacterial classes including Rhizobium/Agrobacterium spp. of Alphaproteobacteria, Clostridia, and Flavobacteria (Fig. 3. and Supp. Fig. 13). Examination of terminal branch sister taxa validated the BLASTn search and OTU binning as most clones clustered near their closest matches. Most branches were well supported with posterior probabilities greater than 97%. The midgut analysis indicated that 45 OTUs with closest similarity to Clostridium were detected, and from the phylogenetic analysis it appears that these phylotypes were very similar to cultured representatives within the clade. However, within the Rhizobium clade, phylotype JF681542 (and 9 other phylotypes) appears to be highly novel as their similarity to known species is less than 97% of the 16S rRNA gene.

Discussion

P. nigrolineatus imbibe wood in their natural environment and in a laboratory setting, providing a long GI tract with many microenvironments suitable for bacterial colonization enriched with cellulose and other wood components. In this study, we examined the enteric microbial community of P. nigrolineatus fed a mixed diet in laboratory aquaria, via 16S rRNA clone library construction. The aim of our study was to explore the microbial ecology of the P. nigrolineatus GI tract and identify cellulolytic and nitrogen-fixing community members that may play a role in the fish microbiome.

Microbial community diversity was highest in the tank water and decreased distally through the GI tract, with the lowest species richness observed in the hindgut and midgut according to Chao1 and Simpson’s diversity indices. It is unclear whether this pattern in community diversity is typical of Osteichthyes in general, as the development of a resident microbial community is highly complex [34]. Furthermore, most studies typically sample the entire GI tract (including the digesta) [35] or partition samples to analyze the autochthonous communities independently [36], [37], [38]. Using 16S rRNA gene analysis, Moran et al. [39] identified that microbial diversity in the marine herbivorous fish Kyphosus sydneyanus increased in the distal intestine. In contrast we detected a >60% reduction in predicted number of genera between the foregut (Schao1 = 46.9) and the hindgut (Schao1 = 17.6). Allocthonous communities associated with the digesta have been shown to vary little along the length of the GI tract [40], which suggests variations in overall species richness and diversity is driven by changing autochthonous communities, perhaps as a response to niche partitioning within the GI tract.

The microbial communities identified in the sampled tissues were distinct from the tank water in regard to species richness and composition. The tank water community was very diverse (Sobs = 37; Schao1 = 57.3) compared to the fish GI tract, with most OTUs belonging to the Betaproteobacteria. These Betaproteobacteria OTU types were completely absent from the GI tract analysis, qualitatively indicating the presence of a very different microbial community. Similarly, the predominant intestinal clones (Clostridiacae, Cytophagia-Flavobacterium-Bacteroides, and Alphaproteobacteria) comprised only a small proportion of the tank water clone libraries. These findings differ from previous studies that have demonstrated that the predominant OTUs were the same for the intestines and rearing water [41]. This was observed to be particularly true for fish species, like P. nigrolineatus, that lack acidic stomachs dedicated to digestion [42].

P. nigrolineatus examined in this study were imported without routine antibiotic treatment and conditions (temperature, light) were provided similar to those found in their natural environment. We recognize that the collection, transport, and maintenance in laboratory aquaria play a role in affecting the indigenous microbial communities present in comparison to wild animals. However, the detection of specialized microbial communities in different regions of the Panaque GI tract, strongly supports a view that a core microbiome selected by the intestinal habitat exists. This result is similar to a recent study in zebrafish, which showed that although differences could be detected in the microbial communities within wild vs. laboratory-reared fish, there was a shared core gut microbiota that was not affected by domestication [43].

In addition to microbial community profile differences between the tank water and GI tract, each tissue region supported a distinct community profile, indicating a specialized microbial community was resident. The most specious of the tissues, the foregut, was dominated by sequences closely related to species of Legionella, Clostridia, and Hyphomicrobium. Representatives of Legionella and Hyphomicrobium are ubiquitous in nature, residing in soils, as well as fresh and wastewaters. Both genera have been shown to be associated with aquarium-reared fish as either part of the normal skin microbial community, recirculating filter microbiota (Hyphomicrobium) [44], [45]. Both midgut and AL 16S rRNA gene libraries were dominated by OTUs with high similarity to species capable of cellulose saccharification. Most putative cellulolytic bacteria were representatives of Clostridiacea or the Cytophaga-Flavobacterium-Bacteroides group sharing greatest sequence similarity to Clostridiacea bacterium bssV31, Clostridium saccharolyticum, and Cytophagia hutchinsonii. C. saccharolyticum does not possess any endogenous cellulases, but, has been shown to grow as a co-culture with other cellulolytic species increasing the rate of cellulose degradation, as well as the growth rate of their cellulolytic counterpart [46].

The P. nigrolineatus GI tract contains several potential diazotrophic species, which would enhance microbial community growth on woody material by reducing atmospheric dinitrogen to assimilatable ammonia. Interestingly, the phylogenetic analysis of midgut and the other tissues (Fig. 3 and Supplementary Figures 13) suggested the presence of a number of novel putative nitrogen fixers and may provide new insight into the microbial ecology of this group. Our analysis shows that P. nigrolineatus possess an enteric putatively-diazotrophic community that is apparently unique amongst fish. Several species of Agrobacterium/Rhizobium and Amorphomonas were detected in the tank water as well as GI tract tissue, with the highest abundance in the midgut and AL. The dominant OTUs shared highest sequence similarity with free-living nitrogen-fixing Agrobacterium tumefaciens, and Amorphomonas oryzae. Agrobacterium has been detected in the intestinal mucosa and rearing waters of zebra fish and the summer flounder, Paralicthys dentatus, but, at extremely low levels (<1–3% of total clones or isolates) [47], [48]. This is the first report of diazotrophic Alphaproteobacteria being the dominant clones identified in the intestines of fish. In ongoing studies, we have detected both nifH expression and nitrogenase within the GI tract, which are consistent with the presence of an active nitrogen-fixing community (McDonald, Watts, and Schreier, in preparation).

P. nigrolineatus possesses a unique tissue structure, the AL, which is associated with the intestines and may play some role in digesta processing. The structure is physically attached to the intestines midway between the stomach and anus at a point where the intestines switch from clockwise to counterclockwise coiling [49]. The structure is divided into distinct lobes and is highly vascularized with many capillaries leading to the intestinal wall but, as yet, no function has been designated. The community detected in the AL of P. nigrolineaus shares a high degree of functional homology to those detected in several species of Tetraponera ants. These communities are often dominated by species of Rhizobium, Flavobacterium, and Methylobacterium, [50] all of which are represented in the AL clone library of P. nigrolineatus. While the role of the AL in P. nigrolineatus needs to be elucidated, similarities to the ant bacterial pouch warrant further examination.

Any molecular analysis of mixed microbial communities is subject to well-characterized biases. As such, little information can be derived from the absolute count of each recovered OTU. The ratios of template to products in multi-template PCR can be affected by the use of degenerate primers, starting template concentration, G+C content of the priming region, amplicon fragment length, and number of cycles [51], [52]. Similarly, this bias is exacerbated during cloning as ligation efficiencies can be affected by fragment size and G+C content. In addition, PCR induced artifacts can result in the overestimation of species richness [53]. Although these limitations can hamper quantitative analysis, assuming that the same levels of bias occur throughout the fish tissue analysis our study was able to determine and measure significant differences in the microbial community from the different GI tract regions.

Our results demonstrate the presence of a resident enteric microbial community of P. nigrolineatus that is unique amongst fish characterized to date and consistent with a highly enriched cellulose diet. The presence of phylotypes with high 16S rRNA gene sequence similarity to microorganisms having the capacity to carry out cellulolytic and nitrogen-fixing activities in the mid- and hindguts indicates adaptation to an enriched cellulose- and nitrogen-limiting environment. It is unlikely that these libraries represent transient communities as none of the enteric region communities are consistent with that observed in the tank water. Similarly, there is a high degree of heterogeneity between tissue regions in regards to species richness and composition. As the fish have been shown to gain no direct energy benefit from imbibing wood [6], [9], [10], it is conceivable that the resident cellulolytic and nitrogen-fixing microorganisms of the GI tract are important when utilizing a detritivorous dietary strategy by providing essential components, e.g. amino acids and vitamins, in a manner similar to host-microbe interactions in other systems [54]. This would be particularly advantageous for a species that has evolved specialized mouth musculature and teeth that are adapted for wood consumption [2], [3], [4]. Although molecular analyses have proven extremely valuable in inferring the metabolic capacities of mixed microbial communities, additional studies are ongoing to verify the role of microorganisms in both the degradation of lignocellulose and other possible positive interactions with the host.

Supporting Information

Figure S1

Phylogenetic tree showing the relationship of 16S rRNA sequences identified in the foregut clone library. The tree was constructed using near full length (>1200 bp) 16S rRNA sequences Bayesian inference (ngen = 10 000 000; BI = 12 500). Known sequences sharing highest sequence similarity were included in the phylogeny. Branch labels represent posterior probabilities (* denote branches with ≥97% posterior probability).

(TIF)

Figure S2

Phylogenetic tree showing the relationship of 16S rRNA sequences identified in the hindgut clone library. The tree was constructed using near full length (>1200 bp) 16S rRNA sequences Bayesian inference (ngen = 10 000 000; BI = 12 500). Known sequences sharing highest sequence similarity were included in the phylogeny. Branch labels represent posterior probabilities (* denote branches with ≥97% posterior probability).

(TIF)

Figure S3

Phylogenetic tree showing the relationship of 16S rRNA sequences identified in the AL clone library. The tree was constructed using near full length (>1200 bp) 16S rRNA sequences Bayesian inference (ngen = 10 000 000; BI = 12 500). Known sequences sharing highest sequence similarity were included in the phylogeny. Branch labels represent posterior probabilities (* denote branches with ≥97% posterior probability).

(TIF)

Table S1

Foregut clone library binned to closest match using NCBI BLASTn algorithm.

(PDF)

Table S2

Midgut clone library binned to closest match using NCBI BLASTn algorithm.

(PDF)

Table S3

Hindgut clone library binned to closest match using NCBI BLASTn algorithm.

(PDF)

Table S4

Auxiliary lobe clone library binned to closest match using NCBI BLASTn algorithm.

(PDF)

Table S5

Tank water clone library binned to closest match using NCBI BLASTn algorithm.

(PDF)

Acknowledgments

The assistance of Mickey Dehn and Dr. Jay Nelson with various portions of the laboratory work and fish maintenance is greatly appreciated.

Funding Statement

This work was supported, in part, by the National Science Foundation, award 0801830 (J.E.M.W. and H.J.S.) and Marie Curie FP7-RG 276948 (J.E.M.W). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1

Phylogenetic tree showing the relationship of 16S rRNA sequences identified in the foregut clone library. The tree was constructed using near full length (>1200 bp) 16S rRNA sequences Bayesian inference (ngen = 10 000 000; BI = 12 500). Known sequences sharing highest sequence similarity were included in the phylogeny. Branch labels represent posterior probabilities (* denote branches with ≥97% posterior probability).

(TIF)

Figure S2

Phylogenetic tree showing the relationship of 16S rRNA sequences identified in the hindgut clone library. The tree was constructed using near full length (>1200 bp) 16S rRNA sequences Bayesian inference (ngen = 10 000 000; BI = 12 500). Known sequences sharing highest sequence similarity were included in the phylogeny. Branch labels represent posterior probabilities (* denote branches with ≥97% posterior probability).

(TIF)

Figure S3

Phylogenetic tree showing the relationship of 16S rRNA sequences identified in the AL clone library. The tree was constructed using near full length (>1200 bp) 16S rRNA sequences Bayesian inference (ngen = 10 000 000; BI = 12 500). Known sequences sharing highest sequence similarity were included in the phylogeny. Branch labels represent posterior probabilities (* denote branches with ≥97% posterior probability).

(TIF)

Table S1

Foregut clone library binned to closest match using NCBI BLASTn algorithm.

(PDF)

Table S2

Midgut clone library binned to closest match using NCBI BLASTn algorithm.

(PDF)

Table S3

Hindgut clone library binned to closest match using NCBI BLASTn algorithm.

(PDF)

Table S4

Auxiliary lobe clone library binned to closest match using NCBI BLASTn algorithm.

(PDF)

Table S5

Tank water clone library binned to closest match using NCBI BLASTn algorithm.

(PDF)


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