Original Article

Subject Category: Microbial population and community ecology

The ISME Journal (2009) 3, 1120–1126; doi:10.1038/ismej.2009.41; published online 23 April 2009

Rumen-like methanogens identified from the crop of the folivorous South American bird, the hoatzin (Opisthocomus hoazin)

André-Denis G Wright1, Korinne S Northwood1 and Nestor E Obispo2

  1. 1CSIRO Livestock Industries, Queensland Bioscience Precinct, St Lucia, Queensland, Australia
  2. 2Instituto Nacional de Investigaciones Agrícolas, Aragua, Venezuela

Correspondence: A-DG Wright, CSIRO Livestock Industries, Queensland Bioscience Precinct, 306 Carmody Road, St Lucia, Queensland 4067, Australia. E-mail: andre-denis.wright@csiro.au

Received 13 February 2009; Revised 16 March 2009; Accepted 17 March 2009; Published online 23 April 2009.

Top

Abstract

The hoatzin is the only known avian species with foregut fermentation. It is a primarily folivorous feeder and has a distended crop and lower/distal esophagus, which has evolved for the microbial fermentation of ingested feed. Crop samples collected from 10 individual animals from the Apure River area, Apure State, Venezuela were examined for the presence and density of methanogens using 16S rRNA gene clone libraries and real-time PCR prepared from pooled and individual PCR products. A total of 197 clones were examined, revealing 24 different methanogen 16S rRNA sequences, or phylotypes. Of the 24 unique phylotypes, 16 (171 of 197 clones) formed five unique clades within the genus Methanobrevibacter with the largest group of clones (118 clones) 98.7% similar to Methanobrevibacter ruminantium. The remaining eight phylotypes (26 clones) formed four unique clades that had only 94.0–96.7% identity to Methanosphaera stadtmanae. Based upon 98% sequence identity, we identified 17 of the 24 methanogen phylotypes from the hoatzin as possible new species and strains, with three phylotypes representing possible new genera (<94.5% sequence identity). Although none of the hoatzin methanogen phylotypes had 100% sequence identity to any other archaeal sequences in the GenBank database, the hoatzin crop methanogen sequences formed sister groups with known rumen methanogens. Mean population densities (numbers per gram wet weight) of methanogenic archaea, rumen bacteria and ciliate protozoa, estimated using real-time PCR, were 5.80 × 109, 7.93 × 1012 and 3.31 × 105, respectively. The crop microbial data presented here provide an excellent example of convergent evolution of foregut fermentation in the hoatzin, similar to that of ruminants.

Keywords:

Aves, methane, Methanobrevibacter, rumen, ruminants

Top

Introduction

There are approximately 9000 species of birds within the Class Aves, but only one species, the hoatzin (Opisthocomus hoazin), has evolved a foregut fermentation system that is similar to that of ruminant animals. The hoatzin is a neotropical, obligate folivorous feeder, weighing approximately 700–750g, that inhabits the low-land riverine swamps and gallery forests of South America, from Guyana and Brazil, north to Venezuela, and west to Ecuador and Bolivia. It has an unfeathered blue face with maroon eyes and a spiky crest on its head, and the sole extant species within the family Opisthocomidae. It is often considered one of the most primitive of birds as the hoatzin chick has two claws on the first and second digits of their wings to help it grip branches and clamber about awkwardly. The taxonomic position of this enigmatic bird has been greatly debated and still cannot be confidently placed (Hackett et al., 2008).

In other avian species, food is broken up in the gizzard, but in the hoatzin, its crop and lower/distal esophagus have functionally evolved into large, well-developed, fermentation structures, comprising about 70% of the digestive tract and weighing up to 17.7% of the animal's total mass. As a result, the muscular crop has displaced the flight muscles and keel of the sternum, making the hoatzin a poor flyer (Grajal et al., 1989). The increased size of the foregut allows a long retention of the food and microbial digestion of the folivorous diet. As a result, mean retention times for the hoatzin are among the longest recorded for a bird (Grajal et al., 1989), and digestion efficiencies are very similar to those of ruminant animals (Grajal and Parra, 1995). Short-chain fatty acids, a by-product of microbial fermentation, are also present in the crop in high concentrations similar to that of ruminants.

Like ruminants, the hoatzin has evolved a complex gut microbial community that includes bacteria, methanogenic archaea and protozoa to coordinate plant biomass breakdown, with methane gas produced as a by-product. Because of the evolutionary distance between the Aves and the Artyodactyla, the hoatzin is an excellent example of convergent evolution of foregut fermentation, and provides an excellent opportunity to study if the analogous function of the crop and the rumen leads to similar microbial diversity. A recent study by Godoy-Vitorino et al. (2008) characterized the crop's bacterial population in six wild adult hoatzin birds and reported that 94% of the 580 16S rRNA phylotypes recovered were novel species.

Information on methanogens from the hoatzin is limited with one conference abstract reporting just two partial 16S rRNA sequences (<625bp), one belonging to the genus Methanobrevibacter and the other to the genus Methanosphaera (Garcia-Amado et al., 2007). However, methanogens have been reported from other avian species. Methanobrevibacter woesei was isolated from enrichments of goose feces (Miller et al., 1986; Miller and Lin, 2002) and was also the predominant methanogen in chicken ceca (Saengkerdsub et al., 2007). Methanogenium-like strains also appear to have been reported from chicken and turkey feces, but no sequence data were reported (König, 1986; Miller et al., 1986).

The objectives of the present study were to construct a 16S rRNA gene library to elucidate the composition of the methanogen population in the crop of the hoatzin; to test the hypothesis that Methanobrevibacter phylotypes are likely to be the most dominant component in the hoatzin 16S rRNA gene clone library; to determine if the methanogens present in the hoatzin crop are more closely related to methanogens from other avian species, or more similar to methanogens from ruminants and to use real-time PCR to determine the density of methanogens, bacteria, and protozoa in the crops of individual animals.

Top

Materials and methods

Source of samples

A permit (Licencia de Caza con fines cientificos) to capture hoatzins was obtained from the Viceministerio de Ordenación y Administración Ambiental Oficina Administrativa De Permisiones, in Venezuela, before commencement of the research. Ten wild adult hoatzins were killed in the Apure River region, Apure State, Venezuela (6° 55.6′ N, 68° 31.5′ W) by a professional shooter. After slaughter, the contents of each crop were immediately measured and fixed with two times the sample volume with 100% ethanol, and stored at room temperature in a 100ml storage vial for transport. Information on age and sex of individuals is unavailable.

DNA extraction, clone library construction and sequencing

DNA was extracted using a cetyltrimethylammonium bromide method described elsewhere (Wright et al., 1997), and PCR-amplified with methanogen-specific primers Met86F and Met1340R (Wright and Pimm, 2003), using an iCycler (Bio-Rad Laboratories Pty Ltd, Gladesville, NSW, Australia). The following conditions were used: 4min hot start at 94°C, followed by denaturation for 35s at 94°C, annealing for 35s at 58°C and 2min of extension at 72°C. On the 35th and final cycle, extension time was increased to 10min.

A 16S rRNA gene library was constructed from the pooled PCR product from each animal using a TOPO TA cloning kit (Invitrogen, Carlsbad, CA, USA). All positive clones were selected and suspended into 100μl of Milli-Q water. Approximately, 10μl of this suspension was lysed at 80°C for 4min and added to a PCR mastermix containing the primers Met86F and Met1340R. PCR amplification continued according to the conditions described above and the resulting PCR products were digested with the enzyme HaeIII according to the manufacturer's instructions. Digested products were run on a 4% molecular screening agarose (Roche Diagnostics, Australia Pty Ltd, Castle Hill, NSW, Australia) and bands were visualized using the Bio-Rad Gel Doc 2000 gel documentation system.

The resulting restriction fragment length polymorphisms were initially grouped together according to their riboprint patterns and up to seven representatives from each unique pattern were sequenced in both directions using four internal 16S primers (Met448F, Met102F, Met448R and Met1027R) (Wright and Pimm, 2003). Sequencing was performed using the AB genetic analyzer 3130 XL platform (Applied Biosystems, Melbourne, VIC, Australia) with big dye terminator and TaqFS matrix. Sequences were proofread and confirmed in both directions and all ambiguities were removed. The online chimeric detection program Bellerophon (Huber et al., 2004) was used to identify if any chimeric sequences were present in the library.

Distance data were generated from the clone library using the Kimura (1980) two-parameter model and analyzed using the computer program DOTUR (Schloss and Handelsman, 2005) to group clone sequences into operational taxonomic units (OTU), based on a 98% sequence identity cutoff. Clones were designated ‘HZ’ to indicate hoatzin, followed by the clone number.

Phylogenetic reconstruction

Seventy additional 16S rRNA gene sequences representing all the methanogen orders and other major lineages within the Euryarchaeota were included in the phylogenetic analysis, and three members of the Crenarchaeota (Pyrolobus fumarius, Sulfolobus acidocaldarius and Thermosphaera aggregans) were used as the outgroup. All sequences were globally aligned using the Dedicated Comparative Sequence Editor program (de Rijk and de Wachter, 1993) and further refined manually based on the secondary structure model. PHYLIP (version 3.62C; Felsenstein, 2004) was used to construct a neighbor-joining tree (Saito and Nei, 1987), which was bootstrap resampled 1000 times.

Real-time PCR analysis

Each crop sample was analyzed using real-time PCR to estimate the number of methanogens (using mcrA genes), bacteria (using 16S rRNA genes) and ciliate protozoa (using 18S rRNA genes). The external standards used for the real-time PCR amplifications have been previously validated for bacteria (Denman and McSweeney, 2006), ciliate protozoa (Sylvester et al., 2004) and methanogenic archaea (Denman et al., 2007), and have been discussed elsewhere (Sundset et al., 2009). Real-time PCR amplifications were carried out with the Bio-Rad iCycler in a 25μl volume containing the following reagents: 1.0μl template DNA (10ng), 400nM (final concentration) of each primer, 12.5μl iQ SYBR Green supermix (Bio-Rad) and 9.5μl ddH2O. Real-time PCR amplification was initiated by a hot start at 95°C for 15min, followed by 40 cycles of 95°C for 30s, 60°C for 30s and 72°C for 60s. A final melting curve analysis was carried out by continuously monitoring fluorescence between 60 and 95°C with 0.5°C increments every 10s. Three dilutions of DNA were amplified and the Ct of the most efficient PCR was recorded.

Nucleotide sequence accession numbers

The sequences from this study have been deposited in the GenBank database under the accession numbers EU547210EU547233.

Top

Results

Sequence examination and phylogenetic analysis of clones

A total of 197 clones were examined, revealing 24 unique sequences, or phylotypes (Table 1 ). Of these, 12 phylotypes represented by 166 clones had 96.7–98.7% sequence identity to Methanobrevibacter ruminantium, eight phylotypes represented by 26 clones had 94.0–96.7% sequence identity to Methanosphaera stadtmanae whereas four phylotypes, represented by only five clones, had 94.3–96.3% sequence identity to Methanobrevibacter olleyae. No chimeras were identified.


Pair-wise distance data (not shown) of these 24 phylotypes revealed that the average genetic divergence over all possible pairs of sequences was 4.8% with the greatest genetic distance being 11.1% between clones HZ-37 and HZ-39. Using a similarity criterion of 98%, DOTUR analysis (Schloss and Handelsman, 2005) indicated the 24 phylotypes formed nine OTUs (Figure 1). Three of the nine OTUs (OTU 2, OTU 6 and OTU 9) were represented by a single phylotype, whereas the largest OTU (OTU 5) was composed of seven phylotypes (HZ-01, HZ-26, HZ-27, HZ-31, HZ-34, HZ-35 and HZ-45), which included the most prevalent phylotype, HZ-01 (118 clones).

Figure 1.
Figure 1 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

A distance matrix tree of the archaea derived from 16S rRNA evolutionary distances produced by the Kimura two-parameter (Kimura, 1980) correction model and constructed using the neighbor-joining method (Saito and Nei, 1987). Bootstrap supports are indicated as a percentage at the base of each bifurcation. Bootstrap values less than 50% are not shown. Evolutionary distance is represented by the horizontal component separating species in the figure. The scale bar corresponds to five changes per 100 positions. Arrows indicate the phylogenetic placement of the two partial methanogen 16S rRNA gene sequences (<625bp) from a published abstract (see Garcia-Amado et al., 2007).

Full figure and legend (137K)

Phylogenetic analysis

Bootstrap data of the neighbor-joining tree (Figure 1) supported the Euryarchaeota as a monophyletic group (100%), as well as the orders Halobacteriales (100%), Methanococcales (69%), Methanomicrobiales (100%), Thermoplasmatales (100%), Methanosarcinales (100%) and Methanobacteriales (67%). All 24 crop methanogen phylotypes grouped within the Methanobacteriales. Of these, five phylotypes (HZ-13, HZ-21, HZ-32, HZ-36 and HZ-51) branched basal to a clade consisting of Methanosphaera stadtmanae, three crop methanogens (HZ-04, HZ-22 and HZ-39) and several environmental clones from the rumen environment. At the 98% identity level, these eight phylotypes formed four OTUs (OTU 1, OTU 2, OTU 3 and OTU 4). The remaining 16 crop methanogen phylotypes (that is, five OTUs) all branched basal to a clade consisting of two validly recognized methanogen species, Methanobrevibacter ruminantium and Methanobrevibacter olleyae, and more environmental clones from the rumen environment.

Crop microbial population densities

Crop cell densities (per gram wet weight) of methanogens, bacteria and protozoa for each animal are presented in Table 2 , and ranged from 2.22 × 108 to 2.91 × 1010 for methanogens, 8.70 × 1011 to 2.05 × 1013 for bacteria and 9.09 × 102 to 3.04 × 106 for the ciliate protozoa. Mean density of methanogens relative to the mean density of bacteria was approximately 0.07%.


Top

Discussion

Nearly 20 years after Grajal et al. (1989) first reported foregut fermentation in a nonmammalian animal, information on the microbial consortia resident in the hoatzin's crop is now being elucidated using molecular approaches (Godoy-Vitorino et al., 2008). In the present study, 197 clones were examined and 24 different phylotypes were grouped into nine OTUs based on a similarity criterion of 98% (Table 1). This level of identity was used as many validly described methanogen species would not be identified using the 97% similarity criterion. For example, based on a 97% similarity cutoff, these four validly described methanogen species, Methanobrevibacter smithii, Methanobrevibacter millerae, Methanobrevibacter thaueri and Methanobrevibacter gottschalkii, would be considered a single OTU, thereby underestimating methanogen speciation. On the contrary, the nine OTUs are likely to represent nine new species and 1–3 new genera (<94.5% identity; OTU 2, OTU 3 and OTU 9), once cultivated isolates are established and characterized.

None of the 24 phylotypes had 100% sequence identity to any of the existing sequences in the GenBank database. In comparison, Godoy-Vitorino et al. (2008) examined the bacterial diversity of the hoatzin's crop and grouped 1235 16S rRNA sequences into 580 different phylotypes, and reported that 94% of the 580 phylotypes were unclassified at the species level and presumed to be new species. All 24 methanogen phylotypes from the present study branched early before the mammalian gut methanogens Methanobrevibacter ruminantium, Methanobrevibacter olleyae and Methanosphaera stadtmanae. We believe that the early branching of the novel crop methanogen sequences may represent an ancestral parallel lineage of gut methanogens because the hoatzin dates back to the Eocene, some 50 million years before the arrival of ruminants (Cracraft, 1971). Ruminants just entered South America, via the Isthmus of Panama, during the middle Pliocene (Prothero and Foss, 2007), only 2.5–3.0 million years ago after the ocean level subsided.

As much as 86.8% of clones (171 of 197 clones) belonged to the genus Methanobrevibacter (Figure 1). This finding is consistent with other studies where Methanobrevibacter strains accounted for the vast majority of methanogens in chicken ceca (Saengkerdsub et al., 2007), the lower termite Reticulitermes speratus (Shinzato et al., 1999) and the rumen (Miller and Wolin, 1986; Sharp et al., 1998; Tokura et al., 1999; Whitford et al., 2001; Irbis and Ushida, 2004; Skillman et al., 2004, 2006; Wright et al., 2004, 2008). Moreover, this finding supports our hypothesis that the genus Methanobrevibacter is the most dominant constituent of foregut fermentation systems. The remaining 13.2% of clones (26 of 197) had 94.3–96.3% identity to Methanosphaera stadtmanae, which has been identified in the rumen by others (Whitford et al., 2001; Wright et al., 2004, 2006, 2007; Skillman et al., 2006). Despite Garcia-Amado et al. (2007) reporting only two partial methanogen 16S rRNA sequences (<625bp), one with 100% identity to Methanobrevibacter sp. Ven-02 and the other with 100% identity to Methanosphaera stadtmanae, these two sequences were not found in the present study.

No clones were affiliated with Methanobrevibacter smithii, Methanobrevibacter millerae or Methanobrevibacter gottschalkii, three methanogens commonly detected in the rumen of domestic ruminants. Moreover, no clones were identified from the Methanosarcinales, the Methanomicrobiales or from the clade consisting of distantly related uncultivated archaea. The absence of sequences from these other methanogens, as well as the distantly related archaeal clade, is consistent with another published study from Venezuela, where only Methanobrevibacter and Methanobacterium-like 16S rRNA gene sequences were recovered from the ovine rumen (Wright et al., 2008).

Methanogens present in the hoatzin crop were more closely related to methanogens from ruminants, rather than methanogens from other avian species. Saengkerdsub et al. (2007) examined the methanogenic archaea in adult chicken ceca, using the same methanogen-specific forward and reverse primers (Met86F and Met1340R), and grouped 420 clones into 11 different phylotypes, 10 of which were 99% similar to Methanobrevibacter woesei. In one other study (Miller et al., 1986), methanogen strains isolated from turkey and chicken feces appeared to belong to the genus Methanogenium (König, 1986). However, in the present study, none of the hoatzin crop methanogens was closely related to Methanobrevibacter woesei or Methanogenium spp. or grouped within the same clade containing either methanogen.

The mean density of hoatzin crop methanogens (5.80 × 109 cells per gram wet weight) from the present study was up to 20000 times greater than methanogen densities found in chicken cecal samples, which were based on both most probable number enumeration and 16S rRNA copy numbers (Saengkerdsub et al., 2007). However, the mean density of methanogens in the hoatzin crop was in agreement with real-time PCR densities of methanogens from cattle from Canada using 16S rRNA (7.93 × 104 to 1.62 × 109; Hook et al., 2009), and cattle from Australia using the mcrA genes (9.8 × 108, Evans et al., 2009; 1.34 × 109, Denman et al., 2007). The mean density of hoatzin crop bacteria (7.93 × 1012) from the present study was in agreement with previously published studies from the hoatzin, having viable cell counts ranging from 1.1 × 109 to 4.97 × 1012 (Grajal et al., 1989; Dominguez-Bello et al., 1993; Garcia-Amado et al., 2007), and with a study on another avian species, the green-rumped parrotlet, having 1.1 × 105 to 7.3 × 1012 colony-forming units in the crop (Pacheco et al., 2004). In addition, the mean density (3.31 × 105) of ciliate protozoa was also in agreement with previously published microscopic protozoal cell counts of 104 per gram (Dominguez-Bello et al., 1993).

In conclusion, methanogens resident in the crop of the hoatzin are novel and phylogenetically distinct from rumen methanogens, despite being more similar in identity and density to methanogens from ruminants, compared to methanogens from the ceca of other avian species. Once cultivars are established, hoatzin crop methanogens may provide useful insights into the evolution of the rumen methanogens.

Top

References

  1. Cracraft J. (1971). A new family of hoatzin-like birds (order Opisthocomiformes) from the Eocene of South America. Ibis 113: 229–233. | Article
  2. de Rijk P, de Wachter R. (1993). DCSE, an interactive tool for sequence alignment and secondary structure research. Comput Applic Biol Sci 9: 735–740. | ChemPort |
  3. Denman SE, McSweeney CS. (2006). Development of a real-time PCR assay for monitoring anaerobic fungal and cellulolytic bacterial populations within the rumen. FEMS Microbiol Ecol 58: 572–582. | Article | PubMed | ChemPort |
  4. Denman SE, Tomkins NW, McSweeney CS. (2007). Quantitation and diversity analysis of ruminal methanogenic populations in response to the antimethanogenic compound bromochloromelhane. FEMS Microbial Ecol 62: 313–322. | Article | ChemPort |
  5. Dominguez-Bello MG, Lovera M, Suarez P, Michelangeli F. (1993). Microbial digestive symbionts of the crop of the hoatzin (Opisthocomus hoazin): an avian foregut fermenter. Physiolog Zool 66: 374–383.
  6. Evans PN, Hinds LA, Sly LI, McSweeney CS, Morrison M, Wright A-DG. (2009). Community composition and density of methanogens in the foregut of the Tammar Wallaby (Macropus eugenii). Appl Environ Microbiol 75: 2598–2602. | Article | PubMed | ChemPort |
  7. Felsenstein J. (2004). PHYLIP (Phylogeny Inference Package) Documentation Files. Version 3.62c. Department of Genetics, University of Washington: Seattle, Washington.
  8. Garcia-Amado MA, Michelangeli F, Gueneau P, Perez ME. (2007). Bacterial detoxification of saponins in the crop of the avian foregut fermenter Opisthocomus hoazin. J Ani Feed Sci 16: 82–85.
  9. Godoy-Vitorino F, Ley RE, Gao Z, Pei Z, Ortiz-Zuazaga H, Pericchi LR et al. (2008). The crop bacterial community of the hoatzin, a neotropical folivorous flying bird. Appl Environ Microbiol 74: 5905–5912. | Article | PubMed | ChemPort |
  10. Grajal A, Parra O. (1995). Passage rates of digesta markers in the gut of the hoatzin, a folivorous bird with foregut fermentation. Condor 97: 675–683. | Article
  11. Grajal A, Strahl S, Parra R, Dominguez MG, Neher A. (1989). Foregut fermentation in the hoatzin, a neotropical leave-eating bird. Science 245: 1236–1238. | Article | PubMed | ChemPort |
  12. Hackett SJ, Kimball RT, Reddy S, Bowie RCK, Braun EL, Braun MJ et al. (2008). A phylogenetic study of birds reveals their evolutionary history. Science 320: 1763–1768. | Article | PubMed | ChemPort |
  13. Hook SE, Northwood KS, Wright A-DG, McBride BW. (2009). Long-term monensin supplementation does not significantly affect the quantity or diversity of methanogens in the rumen of the lactating dairy cow. Appl Environ Microbiol 75: 374–380. | Article | PubMed | ChemPort |
  14. Huber T, Faulkner G, Hugenholtz P. (2004). Bellerophon: a program to detect chimeric sequences in multiple sequence alignments. Bioinformatics 20: 2317–2319. | Article | PubMed | ISI | ChemPort |
  15. Irbis C, Ushida K. (2004). Detection of methanogens and proteobacteria from a single cell of rumen ciliate protozoa. J Gen Appl Microbiol 50: 203–212. | Article | PubMed | ChemPort |
  16. Kimura M. (1980). A simple method of estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol 16: 111–120. | Article | PubMed | ISI | ChemPort |
  17. König H. (1986). Chemical composition of cell envelopes of methanogenic bacteria isolated from human and animal feces. Syst Appl Microbiol 8: 159–162.
  18. Miller TL, Lin C. (2002). Description of Methanobrevibacter gottschalkii sp. nov., Methanobrevibacter thaueri sp. nov., Methanobrevibacter woesei sp. nov. and Methanobrevibacter wolinii sp. nov. Int J Syst Evol Microbiol 52: 819–822. | Article | PubMed | ChemPort |
  19. Miller TL, Wolin MJ. (1986). Methanogens in human and animal digestive tracts. Syst Appl Microbiol 7: 223–229. | ChemPort |
  20. Miller TL, Wolin MJ, Kusel EA. (1986). Isolation and characterization of methanogens from animal feces. Syst Appl Microbiol 8: 234–238.
  21. Pacheco MA, Garcia-Amado MA, Bosque C, Dominguez-Bello MG. (2004). Bacteria in the crop of the seed-eating green-rumped parrotlet. Condor 106: 139–143. | Article
  22. Prothero DR, Foss SE. (2007). The Evolution of Artiodactyls. The Johns Hopkins University Press: Baltimore.
  23. Saengkerdsub S, Anderson RC, Wilkinson HH, Kim W-K, Nisbet DJ, Ricke SC. (2007). Identification and quantification of methanogenic archaea in adult chicken ceca. Appl Environ Microbiol 73: 353–356. | Article | PubMed | ChemPort |
  24. Saito N, Nei M. (1987). The neighbor-joining method: a new method for constructing phylogenetic trees. Mol Biol Evol 4: 406–425. | PubMed | ISI | ChemPort |
  25. Schloss PD, Handelsman J. (2005). Introducing DOTUR, a computer program for defining operational taxonomic units and estimating species richness. Appl Environ Microbiol 71: 1501–1506. | Article | PubMed | ISI | ChemPort |
  26. Sharp R, Ziemer CJ, Marshall DS, Stahl DA. (1998). Taxon-specific associations between protozoal and methanogen populations in the rumen and a model system. FEMS Microbiol Ecol 26: 71–78. | Article | ChemPort |
  27. Shinzato N, Matsumoto T, Yamaoka I, Oshima T, Yamagishi A. (1999). Phylogenetic diversity of symbiotic methanogens living in the hindgut of the lower termite Reticulitermes speratus analysed by PCR and in situ hybridization. Appl Environ Microbiol 65: 837–840. | PubMed | ISI | ChemPort |
  28. Skillman LC, Evans PN, Naylor GE, Morvan B, Jarvis GN, Joblin KN. (2004). 16S ribosomal DNA-directed PCR primers for ruminal methanogens and identification of methanogens colonising young lambs. Anaerobe 10: 277–285. | Article | PubMed | ChemPort |
  29. Skillman LC, Evans PN, Strompl C, Joblin KN. (2006). 16S rDNA directed PCR primers and detection of methanogens in the bovine rumen. Lett Appl Microbiol 42: 222–228. | Article | PubMed | ChemPort |
  30. Sundset MA, Edwards JE, Cheng YF, Senosiain RS, Fraile MN, Northwood KS et al. (2009). Molecular diversity of the rumen microbiome of Norwegian reindeer on natural summer pasture. Microbial Ecol 57: 335–348. | Article | ChemPort |
  31. Sylvester JT, Karnati SKR, Yu Z, Morrison M, Firkins JL. (2004). Development of an assay to quantify rumen ciliate protozoal biomass in cows using real-time PCR. J Nutr 134: 3378–3384. | PubMed | ChemPort |
  32. Tokura M, Chagan I, Ushida K, Kojima Y. (1999). Phylogenetic study of methanogens associated with rumen ciliates. Curr Microbiol 39: 123–128. | Article | PubMed | ChemPort |
  33. Whitford MF, Teather RM, Forster RJ. (2001). Phylogenetic analysis of methanogens from the bovine rumen. BMC Microbiol 2001: 1:5.
  34. Wright A-DG, Auckland CH, Lynn DH. (2007). Molecular diversity of methanogens in feedlot cattle from Ontario and Prince Edward Island, Canada. Appl Environ Microbiol 73: 4206–4210. | Article | PubMed | ChemPort |
  35. Wright A-DG, Dehority BA, Lynn DH. (1997). Phylogeny of the rumen ciliates Entodinium, Epidinium and Polyplastron (Litostomatea: Entodiniomorphida) inferred from small subunit ribosomal RNA sequences. J Eukaryot Microbiol 44: 61–67. | Article | PubMed | ChemPort |
  36. Wright A-DG, Ma X, Obispo NE. (2008). Methanobrevibacter phylotypes are the dominant methanogens in sheep from Venezuela. Microbial Ecol 56: 390–394. | Article
  37. Wright A-DG, Pimm C. (2003). Improved strategy for presumptive identification of methanogens using 16S riboprinting. J Microbiol Methods 55: 337–349. | Article | PubMed | ChemPort |
  38. Wright A-DG, Toovey AF, Pimm CL. (2006). Molecular identification of methanogenic archaea from sheep in Queensland, Australia reveal more uncultured novel archaea. Anaerobe 12: 134–139. | Article | PubMed | ChemPort |
  39. Wright A-DG, Williams AJ, Winder B, Christophersen C, Rodgers S, Smith K. (2004). Molecular diversity of rumen methanogens from sheep in western Australia. Appl Environ Microbiol 70: 1263–1270. | Article | PubMed | ChemPort |
Top

Acknowledgements

We thank Dr Paraic O'Cuiv and Dr Seungha Kang, both of CSIRO Livestock Industries, Brisbane, Australia, for their critical comments on this paper.