Literature DB >> 24240187

Comprehensive phylogenetic diversity of [FeFe]-hydrogenase genes in termite gut microbiota.

Hao Zheng1, Dylan Bodington, Chong Zhang, Kazuhiko Miyanaga, Yasunori Tanji, Yuichi Hongoh, Xin-Hui Xing.   

Abstract

Phylogenetic diversity of [FeFe]-hydrogenase (HydA) in termite guts was assessed by pyrosequencing PCR amplicons obtained using newly designed primers. Of 8,066 reads, 776 hydA phylotypes, defined with 97% nucleotide sequence identity, were recovered from the gut homogenates of three termite species, Hodotermopsis sjoestedti, Reticulitermes speratus, and Nasutitermes takasagoensis. The phylotype coverage was 92-98%, and the majority shared only low identity with database sequences. It was estimated that 194-745 hydA phylotypes existed in the gut of each termite species. Our results demonstrate that hydA gene diversity in the termite gut microbiota is much higher than previously estimated.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24240187      PMCID: PMC4070709          DOI: 10.1264/jsme2.me13082

Source DB:  PubMed          Journal:  Microbes Environ        ISSN: 1342-6311            Impact factor:   2.912


Hydrogen is generated in abundance as an end product of lignocellulose fermentation by anaerobic microbes in termite guts (6, 14). These gut microbes are essential to termites; they play crucial roles not only in digestion but also in nitrogen recycling and fixation (9, 12, 25). In this termite gut ecosystem, hydrogen is an important mediator of the symbiosis among microbes, as in many other anaerobic environments (10, 15, 19, 21, 22). In phylogenetically lower termites, the hindgut microbiota comprises both prokaryotes and protists (13), the latter of which are considered to be the primary agents of hydrogen production (18, 20). In phylogenetically higher termites, symbiotic gut protists are generally absent, and hydrogen production is solely attributable to gut bacteria, such as spirochetes (24, 27). Hydrogen production is achieved mainly by the action of hydrogenase, which reversibly catalyzes the formation of H2 from protons and electrons. Among several types of hydrogenase, [FeFe]-hydrogenase (HydA) has been found in both prokaryotes and eukaryotes, and in most cases is involved in H2 production (16, 18, 23, 28). [FeFe]-hydrogenase can be functionally expressed in heterologous cells of bacteria to analyze its properties and enhance H2 production (18, 28). In this study we aimed to measure the phylogenetic diversity of hydA genes in the gut microbiota of termites in an effort to generate a good resource of novel hydrogenase genes useful for more efficient hydrogen production. DNA was extracted from the entire guts of the lower termites Hodotermopsis sjoestedti (abbreviated as Hs in this study) (family Termopsidae), Reticulitermes speratus (Rs) (family Rhinotermitidae), and the wood-feeding higher termite Nasutitermes takasagoensis (Nt) (family Termitidae), as described previously (26). We designed a new primer set, targeting hydA families, 3, 6, 7, and “FDH-linked”, all of which have previously been identified and designated in a metagenomic study of termite gut microbiota (27). Based on the alignment of hydA sequences in public databases, primers Fe-P1f (5′-TTYACHTCCTGYTGYCCNGSHTGG-3′) and Fe-P3r (5′-CADCCDCCNGGRCANGCCAT-3′) were designed in the conserved H-cluster segments P1 and P3, respectively, with degeneracy decreased according to the base frequency. This primer set flanks the region containing the conserved H-cluster segment P2, which is useful as an identifier of hydA to discriminate it from other oxidoreductases. PCR amplification of hydA from the termite gut samples was successful with this new primer set. PCR products of the expected size (0.62 kb) were purified and cloned, and restriction fragment length polymorphism (RFLP) analysis was performed. Fifty-five randomly chosen hydA clones from each termite sample were analyzed, and 25, 27, and 23 RFLP patterns were found in samples Hs, Rs, and Nt, respectively. A representative clone or clones for each RFLP pattern were sequenced using an ABI 3730 genetic analyzer. When more than one representative clone of an RFLP pattern was sequenced, all representative clone sequences were identical. The detailed methods are described in the supplemental materials. After removal of non-hydA sequences, 73 unique sequences remained. These remaining sequences were sorted into operational taxonomic units (OTUs) with a criterion of 97% nucleotide sequence similarity, using the furthest-neighbor joining method as shown in Table 1. This criterion was used throughout this study unless otherwise stated. The sequences have been deposited in GenBank/DDBJ/EMBL under accession numbers JF802513–JF802574.
Table 1

Diversity of hydA nucleotide sequences in termite gut microbiota

Sanger sequencing454 pyrosequencingc


HsRsNtHsRsNtTotalShared OTUs
Number of analyzed sequences5555552388299126878066
Mean sequence length (base)681657648349341340343
OTUs (97% similarity)202120213 (276)148 (225)421 (419)7766
OTUs (85% similarity)1620111289815837311
OTUs (70% similarity)1415696707719350
Chao11064197373 (511)194 (333)745 (636)
Shannon2.982.992.934.18 (4.75)4.23 (4.50)6.58 (5.30)
Simpsona0.990.980.980.740.860.97
Coverageb (%)65.570.967.395.698.292.1

Simpson’s index of diversity, indicated as 1-D.

Good’s coverage estimator: (1-n/N) × 100, where n is the number of phylotypes represented by only one sequence and N is the total number of sequences.

The values in parentheses are those calculated from amino acid sequences.

Since Good’s coverage of OTUs obtained by the Sanger sequencing analysis was as low as 65.5–70.9% (Table 1), we additionally performed pyrosequencing to comprehend the diversity of hydA, using a 454 Life Sciences Genome Sequencer FLX Titanium (Roche, Penzberg, Germany). The raw sequence reads and quality files have been deposited in the NCBI sequencing read archive under project number SRA047832. The reads were analyzed using a program package, Quantitative Insights into Microbial Ecology (QIIME) (7). The 454 reads with low quality and/or shorter than 250 bases were discarded. Indels, which were most probably sequencing errors, were then corrected using the FunGene module on the Ribosomal Database Project web site (http://rdp.cme.msu.edu/) by comparing them with known HydA amino acid sequences. Sequences that shared <40% similarity with known HydA amino acid sequences were excluded from the downstream analyses. The remaining 8,066 sequences were sorted into 776 OTUs. From Hs, Rs, and Nt samples, 213, 148, and 421 OTUs were identified respectively. Both Shannon and Simpson indices were highest in the Nt sample (Table 1) and the rarefaction curves also indicated the highest diversity in Nt (Fig. 1). The numbers of OTUs based on translated amino acid sequences are also indicated in Table 1.
Fig. 1

Rarefaction curves of hydA OTUs obtained from the gut of three termite species. Hs: Hodotermopsis sjoestedti, Rs: Reticulitermes speratus, Nt: Nasutitermes takasagoensis.

The coverage was as high as 92.1–98.2% in these samples (Table 1), but the rarefaction curves suggest that further sampling is required to obtain all OTUs present in the samples (Fig. 1). Therefore, we estimated the entire OTU richness using the Chao1 method (8), and the expected OTU numbers were 373, 194, and 745 for Hs, Rs, and Nt, respectively. The estimated Chao1 value for Nt should be regarded as the minimum, because the Chao1 estimator is sensitive to the sampling effort and the value has not yet reached the plateau for Nt (data not shown) (17). The higher phylogenetic diversity of hydA in a higher termite agreed with previous reports (3, 4). The number of observed OTUs, coverage, Shannon index, and Chao1 richness were considerably higher than both those calculated in our clone analysis and those found in previous studies by Ballor and Leadbetter (3, 4). In their study of gut homogenate samples from three lower and six higher termite species, the number of observed OTUs (defined with 97% amino acid sequence similarity) was 16–44, Chao1 richness 17–68, and Shannon index 2.12–3.53. The difference is mostly attributable to the higher sequencing effort, and partly attributable to the wider target of the primer set used here. Even when 70% sequence similarity was adopted for the criterion of OTU, 193 hydA OTUs were identified from the three termite species (Table 1). Fig. 2 shows an outline of the phylogenetic diversity of hydA obtained in the present study. The full tree is presented in Fig. S1. Several sequence clusters belonged to families 3 and 7, while others might form novel families. The division of the families was possibly caused by the low resolution of the tree or the expanded diversity found in this study. Since the majority of termite gut microbiota are as yet unculturable, only a few bacterial species in termite guts have been identified to possess hydA: Treponema azotonutricum, Treponema primitia (2), Spirochaeta coccoides (1), and Candidatus Endomicrobium trichonymphae phylotype Rs-D17 (11). In the present study, several OTUs formed clusters with reference database sequences (Fig. S1); those OTUs might have derived from bacteria belonging or related to the genera Treponema, Spirochaeta, Clostridium, Eubacterium, Acetivibrio, Syntrophomonas, Parabacteroides, Odoribacter, and Desulfovibrio, all of which have been found in termite gut microbiota based on 16S rRNA clone analyses (13). Several OTUs from the lower termite H. sjoestedti showed high similarity to those of gut protists. Other OTUs shared only low identity with the reference sequences, including those from termite guts (Fig. S1) (3, 4).
Fig. 2

A maximum-likelihood tree based on deduced amino acid sequences showing the phylogenetic diversity of hydA obtained in this study. The tree was constructed using 102 amino acid sites. The branches were marked with different colors corresponding to their respective host termites: Hodotermopsis sjoestedti (blue), Reticulitermes speratus (green), Nasutitermes takasagoensis (red). The hydA families designated in previous studies (2, 27) are indicated in different colors. The method for the tree construction is described in the supplemental materials. The full tree is shown in Fig. S1.

Phylogenetic relationships of hydA among different termite hosts are shown in Fig. 3 and S1. The OTUs from the same host termite species tend to cluster together. In addition, those from congeneric termites, e.g., Nasutitermes takasagoensis and N. ephratae, are closely related. These are in concordance with previous reports that 16S rRNA phylotypes from the same termite species or genus tend to cluster together (13). The congruence of hydA sequence similarity and termite host phylogeny has also been shown in a previous study (3).
Fig. 3

A representative part of a maximum-likelihood tree of hydA based on deduced amino acid sequences. Open and closed circles at the nodes indicate bootstrap confidence values of 50–74% and 75–100%, respectively. The full tree is shown in Fig. S1.

In this study, it was revealed that the gut microbiota of a single termite species potentially contains 194–745 hydA phylotypes. Recently, Boucias et al. (5) estimated, by 454 pyrosequencing analysis of 16S rRNA genes, that the lower termite Reticulitermes flavipes harbors nearly 5,000 bacterial species. Therefore, it may not be surprising that several hundred phylotypes of hydA were found from a single termite species. It is noteworthy that there were only a few overlaps of hydA phylotypes among the host termite species. This implies an enormous diversity of hydA in the total termite gut microbiota on Earth, considering that there are nearly 300 genera and 3,000 species of termites (Constantino, R.; http://164.41.140.9/catal/). These hydA genes might be useful in designing a recombinant hydrogenase to produce hydrogen with better efficiency.
  24 in total

Review 1.  Iron hydrogenases--ancient enzymes in modern eukaryotes.

Authors:  David S Horner; Burkhard Heil; Thomas Happe; T Martin Embley
Journal:  Trends Biochem Sci       Date:  2002-03       Impact factor: 13.807

Review 2.  Diversity and genomes of uncultured microbial symbionts in the termite gut.

Authors:  Yuichi Hongoh
Journal:  Biosci Biotechnol Biochem       Date:  2010-06-07       Impact factor: 2.043

3.  Estimating the population size for capture-recapture data with unequal catchability.

Authors:  A Chao
Journal:  Biometrics       Date:  1987-12       Impact factor: 2.571

4.  Syntrophic acetate-oxidizing microbes in methanogenic environments.

Authors:  Satoshi Hattori
Journal:  Microbes Environ       Date:  2008       Impact factor: 2.912

5.  RNA-seq reveals cooperative metabolic interactions between two termite-gut spirochete species in co-culture.

Authors:  Adam Z Rosenthal; Eric G Matson; Avigdor Eldar; Jared R Leadbetter
Journal:  ISME J       Date:  2011-02-17       Impact factor: 10.302

6.  The hindgut lumen prokaryotic microbiota of the termite Reticulitermes flavipes and its responses to dietary lignocellulose composition.

Authors:  Drion G Boucias; Yunpeng Cai; Yijun Sun; Verena-Ulrike Lietze; Ruchira Sen; Rhitoban Raychoudhury; Michael E Scharf
Journal:  Mol Ecol       Date:  2013-02-04       Impact factor: 6.185

7.  Genome of an endosymbiont coupling N2 fixation to cellulolysis within protist cells in termite gut.

Authors:  Yuichi Hongoh; Vineet K Sharma; Tulika Prakash; Satoko Noda; Hidehiro Toh; Todd D Taylor; Toshiaki Kudo; Yoshiyuki Sakaki; Atsushi Toyoda; Masahira Hattori; Moriya Ohkuma
Journal:  Science       Date:  2008-11-14       Impact factor: 47.728

8.  QIIME allows analysis of high-throughput community sequencing data.

Authors:  J Gregory Caporaso; Justin Kuczynski; Jesse Stombaugh; Kyle Bittinger; Frederic D Bushman; Elizabeth K Costello; Noah Fierer; Antonio Gonzalez Peña; Julia K Goodrich; Jeffrey I Gordon; Gavin A Huttley; Scott T Kelley; Dan Knights; Jeremy E Koenig; Ruth E Ley; Catherine A Lozupone; Daniel McDonald; Brian D Muegge; Meg Pirrung; Jens Reeder; Joel R Sevinsky; Peter J Turnbaugh; William A Walters; Jeremy Widmann; Tanya Yatsunenko; Jesse Zaneveld; Rob Knight
Journal:  Nat Methods       Date:  2010-04-11       Impact factor: 28.547

9.  Complete genome sequence of the termite hindgut bacterium Spirochaeta coccoides type strain (SPN1(T)), reclassification in the genus Sphaerochaeta as Sphaerochaeta coccoides comb. nov. and emendations of the family Spirochaetaceae and the genus Sphaerochaeta.

Authors:  Birte Abt; Cliff Han; Carmen Scheuner; Megan Lu; Alla Lapidus; Matt Nolan; Susan Lucas; Nancy Hammon; Shweta Deshpande; Jan-Fang Cheng; Roxanne Tapia; Lynne A Goodwin; Sam Pitluck; Konstantinos Liolios; Ioanna Pagani; Natalia Ivanova; Konstantinos Mavromatis; Natalia Mikhailova; Marcel Huntemann; Amrita Pati; Amy Chen; Krishna Palaniappan; Miriam Land; Loren Hauser; Evelyne-Marie Brambilla; Manfred Rohde; Stefan Spring; Sabine Gronow; Markus Göker; Tanja Woyke; James Bristow; Jonathan A Eisen; Victor Markowitz; Philip Hugenholtz; Nikos C Kyrpides; Hans-Peter Klenk; John C Detter
Journal:  Stand Genomic Sci       Date:  2012-05-04

10.  Production and consumption of hydrogen in hot spring microbial mats dominated by a filamentous anoxygenic photosynthetic bacterium.

Authors:  Hiroyo Otaki; R Craig Everroad; Katsumi Matsuura; Shin Haruta
Journal:  Microbes Environ       Date:  2012-03-23       Impact factor: 2.912

View more
  4 in total

1.  Genomic and metagenomic surveys of hydrogenase distribution indicate H2 is a widely utilised energy source for microbial growth and survival.

Authors:  Chris Greening; Ambarish Biswas; Carlo R Carere; Colin J Jackson; Matthew C Taylor; Matthew B Stott; Gregory M Cook; Sergio E Morales
Journal:  ISME J       Date:  2015-09-25       Impact factor: 10.302

2.  Comparative Genomics of Syntrophic Branched-Chain Fatty Acid Degrading Bacteria.

Authors:  Takashi Narihiro; Masaru K Nobu; Hideyuki Tamaki; Yoichi Kamagata; Yuji Sekiguchi; Wen-Tso Liu
Journal:  Microbes Environ       Date:  2016-07-16       Impact factor: 2.912

3.  Discovery and Complete Genome Sequence of a Bacteriophage from an Obligate Intracellular Symbiont of a Cellulolytic Protist in the Termite Gut.

Authors:  Ajeng K Pramono; Hirokazu Kuwahara; Takehiko Itoh; Atsushi Toyoda; Akinori Yamada; Yuichi Hongoh
Journal:  Microbes Environ       Date:  2017-03-17       Impact factor: 2.912

4.  H2-Producing Bacterial Community during Rice Straw Decomposition in Paddy Field Soil: Estimation by an Analysis of [FeFe]-Hydrogenase Gene Transcripts.

Authors:  Ryuko Baba; Susumu Asakawa; Takeshi Watanabe
Journal:  Microbes Environ       Date:  2016-06-18       Impact factor: 2.912

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.