Microbiome Science and Medicine Research Article • DOI: 10.2478/micsm-2013-0001 • MICSM • 2013 • 1–9 Invertebrate systems for hypothesis-driven microbiome research Abstract A number of novel, invertebrate systems have emerged as excellent models for the study of microbiomes. Due to their small size, evolutionary diversity, ease of culture, and – in many cases – relatively simple gut communities, invertebrates of many different orders can be tools to drive hypothesis-driven microbiome research. In this review we highlight several host systems amenable to microbiota analyses and specific questions that can be easily addressed in those systems. These questions address functional equivalence across similar habitats, host-specificity and coevolution of host-microbe interactions, and acquisition and transmission dynamics of host-associated communities. We propose that host systems be chosen based on the question of interest, and that insect systems are excellent tools for the vast behavioral, ecological, and genetic diversity that allows them to address a variety of these questions. Irene L.G. Newton*, Kathy B. Sheehan, Fredrick J. Lee, Melissa A. Horton, Randy D. Hicks Department of Biology, Indiana University, 1001 E 3rd Street, Bloomington, IN 47405, USA Keywords Nasonia • Apis • Bombus • Porifera • Atta • Drosophila • Symbiosis • Mutualism • Metabolism Received 23 December 2012 Accepted 11 March 2013 © Versita Sp. z o.o. Introduction: Since the discovery that rRNA genes could be isolated from the environment, sequenced, and compared phylogenetically in order to identify previously uncultured organisms [1], microbial ecologists have been probing the composition and function of environmental communities. Two basic questions drive research in microbial ecology: Who is there? and What are they doing? In the years since Pace’s seminal work, many different methods have been developed to address these questions. Because the vast majority of microbes are not yet culturable, researchers have utilized sequencing, in situ hybridizations and functional genomics to identify the composition and characterize the function of dynamic and complex microbial communities [2-5]. Over the years, several culture-independent experimental approaches have been employed with great success in a number of different habitats where microbes are recalcitrant to conventional methods including: acid mine drainage [6], the deep subsurface [7] and the open ocean [8]. Extended research efforts have seemingly culminated in the massive attempt by the Earth Microbiome Project to characterize the diversity and function of microbial communities in different biomes on the Earth [9,10]. No organism lives in isolation – indeed, we are all holobionts [11,12] – and many researchers had been investigating hostassociated microbial communities before the launch of the National Institute of Health’s Human Microbiome Project [13] and the application of next-generation sequencing to 16S rRNA gene amplicons [14,15]. However, the funding available has arguably altered the field and direction of investigation promoted by the Human Microbiome Project. The techniques and tools implemented in the study of free-living, environmental assemblages were employed to study microbes that reside within and upon eukaryotic hosts, with an emphasis on humans and model systems. Initial analyses were largely descriptive, utilizing the 16S rRNA gene as a taxonomic tag to identify bacteria present in humans [16-18]. These primary studies developed new methods, explored limitations of existing techniques (from sample collection and processing to bioinformatics), and established a discovery-based foundation for hypothesis-driven research. The idea that microbial signatures could be used as indicators of disease or could be incorporated into personalized medicine drove many of the studies on human microbiota [13,19-21]. However, certain fundamental questions about hostassociated microbial communities cannot be easily answered in humans. This difficulty arises either because of ethical or monetary constraints, or simply due to the nature of the host and the complexity of the system, which hamper a scientist’s ability to perform completely controlled experiments. In this review, we highlight systems in which researchers can more easily address these important questions because of the life-history of the hosts, the availability of genetic tools, and/or the simplicity of microbial communities. We focus on alternative invertebrate model systems in which to investigate microbiome function and composition. Invertebrate systems have several * E-mail: irene.newton@gmail.com 1 Unauthenticated Download Date | 6/17/17 4:27 PM I.L.G. Newton et al. advantages when compared to mammalian models: insects are small and easy to rear, they are easy to manipulate and massively sample, their genetics and environment can often be closely controlled and monitored, and their associated communities are generally simpler than those found in mammals. Because a great number of microbial communities have been sampled and characterized from a diverse group of invertebrate hosts, it is not possible to include them all in this review. We apologize for the unknowing exclusion of any research programs. This review highlights only the most thoroughly investigated systems that employ deep or next-generation sequencing (Figure 1). For completeness, we include a current list of microbiome projects in alternative, non-human models, organized by host phylogeny (Table 1). In this review, sets of different host-microbiome systems have been organized based on research addressing four fundamental questions: Is there functional equivalence in microbial communities across similar habitats? Are the groups present specific to their hosts? Do these microbes co-evolve or differentiate with their hosts? What is the transmission strategy for host-associated communities? But, do we find similar microbes performing similar metabolic tasks across different lignocellulosic communities? Research on the microbial metabolisms involved in the digestion of plant material has revealed both congruence and dissimilarities across different animal systems [32-38]. The cow rumen and associated Table 1. H ost taxonomy, common name, and associated citations for microbiome studies on novel systems. Only studies involving large scale and high-throughput projects are included in the table. Taxonomy Animalia Porifera Animalia Bilateria Deuterostomia Chordata Actinopterygii Amniota Diapsida Synapsida Functional equivalence between lignocellulosic habitats Animalia Bilateria Lophotrochozoa There are many entirely herbivorous insects -- those that rely on a limited, plant-based diet for nutrition [22-25]. Several of these organisms subsist on lignocellulose-heavy diets [26-28] and could provide powerful model systems in which to understand the complexity of functions found within lignocellulose-degrading communities [29]. Lignocellulosic plant biomass is composed of lignin (a phenylpropanoid polymer), cellulose (crosslinked and hydrogen bonded glucose polymers) and hemicellulose (various beta-(1->4)-linked polysaccharides) and is relatively recalcitrant to enzymatic degradation [30,31]. Animals that subsist exclusively on plant biomass must necessarily employ a digestive strategy that effectively attacks the chemical and physical structure of these complex polysaccharides [32]. Animalia Bilateria Ecdysozoa Nematoda Arthropoda Arachnida Insecta Hymenoptera Diptera Siphonaptera Blattodea Hemiptera Common Name Citations Sponge [63,64,96-98] Zebrafish Guppy [99-101] [102] Hoatzin Chicken Iguana Python Bat [36,38,103-104] [105-109] [110] [111] [112] Earthworm [113] Round worm Tick [114-116] Honey bee Bumble bee Parasitic wasp Leaf-cutter ant Turtle ant Fruit fly Mosquito Flea Termite Firebugs [73,75,76] [74] [70] [28,44,50] [60,61] [87-89] [117-120] [116] [26,27,121] [122] Figure 1. S chematic illustration of some of the insect systems used as models in microbiome research. Complexity of the systems varies from a handful of bacterial species (in Drosophila melanogaster) to hundreds of bacteria (in termites). Images taken with permission from: http://en.wikipedia.org/wiki/File:Drosophila_melanogaster_-_side_(aka).jpg; http://en.wikipedia.org/wiki/File:Cephalotes_atratus.jpg; http://commons.wikimedia.org/wiki/File:Bee-apis.jpg; http://commons.wikimedia.org/wiki/File:The_stronger_of_the_two.jpg; http://en.wikipedia.org/wiki/File:Workertermite1.jpg. 2 Unauthenticated Download Date | 6/17/17 4:27 PM Invertebrate systems for hypothesis-driven microbiome research microbiota have been extensively researched, and this habitat is home to an extreme diversity of microbes, including a large eukaryotic component (anaerobic protozoa and fungi [33,39-41]) performing a diverse set of functions. Datasets produced from amplicon-based, metagenomic and metatranscriptomic studies can be analyzed by homology searches using several well-established, curated databases. Among these are the Kyoto Encyclopedia of Genes and Genomes (KEGG), which links enzymes to pathway maps and Enzyme Commission numbers describing specific biochemical transformations; Clusters of Orthologous Groups (COG), which attempts to phylogenetically classify orthologous gene sets across representative genomes; and Carbohydrate Active Enzymes (CAZy), which is a database of homologous enzymes, modules, and enzyme classes that all act on glycosidic bonds. From studies utilizing these bioinformatics resources, we know that the rumen is an extremely diverse habitat – including members from all three domains of life – that has not been exhaustively cataloged. However, the question remains whether this large, diverse consortium is a signature of lignocellulosic habitats. Perhaps the degradation of complex plant polysaccharides requires microbes performing similar functions. In addition to comparative work in other non-agricultural ruminant systems [34,35,42], these questions have also been explored deeply in several insect model systems, discussed below. Leaf-cutter ants Leaf-cutter ants (Hymenoptera:Formicidae) maintain an external, fungal symbiont long presumed to assist in the digestion of plant material foraged by worker ants (but see [43]). The ants cultivate a fungal garden, macerating and cutting plant material to add to the garden, meticulously removing intruding microbes, and feeding on the fungus [44]. The garden is a complex symbiosis between the ants, their fungal symbiont, and several protective bacterial strains [44-49]. Metagenomic analysis of the fungal symbiont garden revealed a diversity of microbes performing functions similar to those of microbes found in other plantdegrading habitats, especially the rumen [28,50]. Functional analysis of sequences from the garden using the KEGG, COG and CAZy databases identified a high representation of enzymes involved in sugar metabolism, B-vitamin and amino-acid biosynthesis, and oligosaccharide degradation. Interestingly, bacteria were found to encode >50% of the enzymes in this latter category, with over half of the cellulases and hemicellulases, and other glycoside hydrolases being of bacterial origin [50]. Functional similarity to rumen microbiota, however, did not translate into an equally diverse microbial community. Ampliconbased census of the bacterial community present in the fungal garden using 16S rRNA gene amplification identified a simpler bacterial community than that found in the rumen. Whereas upwards of 700 operational taxonomic units (or OTUs, estimated based on metagenomic data [51]) were identified in the bovine rumen, fewer than 300 OTUs (based on 97% identity) were found in the fungal garden, with the dominant members being γ-Proteobacteria and Firmicutes [28]. Additionally, the ability to degrade different forms of cellulose was found in bacterial isolates from the fungal garden [28], suggesting a more complex syntrophic interaction than previously imagined – these bacteria may assist the fungal symbiont in degrading the leaves collected by their ant hosts. Indeed, because the ability of the fungal symbiont to degrade cellulose directly has been questioned [43], it may be that the complex community, including the bacterial partners, is required for full enzymatic digestion of the leaf litter. Termites Both the so-called “higher” and “lower” termites (Isoptera:Termitoidae) are excellent model systems in which to analyze microbial function in plant biomass degrading communities. Some higher termites form a symbiosis with a basidiomycete fungus and cultivate the microbe to presumably assist in degradation of plant forage [26]. The lower termites, in contrast, maintain protists in their guts, where the eukaryotic microbes are thought to assist in the mobilization of complex plant polysaccharides [29]. Metagenomic and proteomic analysis of the higher termite gut revealed that the bacterial members are largely dominated by the Fibrobacteres and Spirochaetes phyla [27]. A functional analysis using the CAZy database determined the presence of more than 700 genes or gene modules with homology to glycoside hydrolases, with more than 100 related to cellulose or hemicellulose hydrolysis and some of these enzymes taxonomically affiliated with bacterial groups [27,52]. In the lower termites, a metatranscriptomic library of the gut microbial community was utilized to characterize the metabolism of the parabasalian protists inhabiting the gut [53]. Interestingly, a fraction of the reads (<15%) were affiliated with bacterial groups. As expected, functional analysis of the lower termite gut utilizing the KEGG database identified pathways related to carbohydrate metabolism, including starch and sucrose metabolism, pyruvate metabolism, glycolysis, and the citrate cycle, and ranked these processes as abundant [53]. Searches using CAZy identified extensive expression of glycoside hydrolases predicted to be involved in lignocellulose degradation and taxonomically affiliated with either protists or bacterial groups [53]. The large diversity of cellulases, hemicellulases and pectinases are predicted to be involved in the degradation of lignocellulose. From the above analyses of three distinct insect systems (ants, “higher” and “lower” termites) and results from the study of ruminants, we can make generalizations and formulate hypotheses for future research in lignocellulosic habitats. For example, although the contribution of the eukaryotic members in these communities is not fully understood, each insect forms a specific symbiosis with distinct fungal or protistan groups, suggesting the importance of these microbes, which are overlooked by purely 16S rRNA gene-based surveys. The complexity of glycoside hydrolases and the diversity of the community members seem to be necessary components of lignocellulosic communities. In the future, alterations in diet composition (shifting ratios of different plant polysaccharide components), perturbations in the community (using antibiotics or antifungal agents), or metabolic analyses of cultured isolates, 3 Unauthenticated Download Date | 6/17/17 4:27 PM I.L.G. Newton et al. acquired a novel bacterial group hypothesized to have expanded the ability of the hosts to survive on a plant based diet [60,61]. However, the presence of Rhizobiales correlated with host diet does not alone prove function in the context of herbivory; indeed, Rhizobiales are often plant associated and ants may be inoculated with the bacteria simply due to herbivory. Specific metabolic tests or genomic sequencing of Rhizobiales isolates from the turtle ants will allow for a better understanding of function of this particular bacterial group. Additionally, tests of host fitness in ants modified to lack Rhizobiales symbionts may allow assessment of the contribution of the bacteria to host health. may identify specific contributions from each domain of life in the processing of lignocellulose. Specificity of communities host-associated microbial Microbiome community membership may be species specific – that is, microbial composition can be used to resolve taxonomically distinct hosts [54-56]. This suggests that membership in microbial communities is not random but instead relevant to host biology and evolution. Early work correlated both diet and host phylogeny with bacterial composition in mammalian guts [54]. Most interestingly, the taxonomic composition of the panda microbiome clustered this herbivorous mammal with its omnivorous relatives [54]. However, more recent metagenomic analyses of the panda gut and other herbivorous mammals suggest that the microbial communities, as predicted, have the ability to effectively degrade plant material [37,57]. There may be species specificity in which organisms are present in a host’s microbiome although the function provided by that community may change based on environment and/or diet. This result presents an intriguing possibility – that existing, host-specific, community members can acquire new functions through horizontal gene transfer. Indeed, this kind of functional expansion in specific host-associated groups has been noted in bacteria from the guts of human adults. The acquisition of novel carbohydrate-active enzymes by human-specific Bacteroides is an excellent example [58,59]. The fact that a Bacteroides strain was not simply replaced by another bacterium capable of the same metabolic process suggests constraints on community membership either through host immune responses or interactions between microbial members. In order to explore function and composition with regards to host specificity and diet, one requires a system with a broad diversity of hosts, where diets and habitats vary across the phylogeny. Two novel systems are emerging as excellent models in this respect: turtle ants and marine sponges. Marine Sponges Because of their phylogenetic and morphological diversity, marine sponges have been used to identify microbial signatures unique to the genetic background of hosts and to probe the functionality of the community members. Morphologically similar, but genetically divergent sponges were sampled and bacterial communities within each species were analyzed using metagenomics [63]. Most interestingly, taxonomic profiles of bacterial groups present differed although metabolic functions of the groups were similar across sponge species. The microbial signatures found in six sponge species and three water samples collected near the sponges were compared, and these planktonic microbial communities differed significantly from the spongeassociated bacterial fractions [63]. Although host-phylogeny in the sponges does not correlate with microbial composition, a large, species-specific community was found to be present in each sponge host [64]. These species-specific communities seemed to be performing equivalent functions in their hosts including denitrification and ammonium oxidation [63]. In the sponges, therefore, it seems microbiome taxonomy is specific to each host species, while function may be dictated by habitat. Transmission and exchange of microbial communities between populations and individuals Turtle ants The question of host diet, microbiome membership, and evolution has been explored in an herbivorous group of ants, the turtle ants (Hymenoptera:Formicidae) [60,61]. In one study, authors were able to screen over 283 ant species from 141 genera [60]. Representatives from the genera were chosen and the 16S rRNA gene was sampled revealing a relatively broad community, dominated by the Proteobacteria and including ant-specific bacterial groups [60]. This ant system, however, is much less complex than the mammalian guts (tens to hundreds of OTUs found in the turtle ants compared to hundreds to thousands found in mammals [57,62]) allowing the authors to better correlate patterns across the phylogeny [61]. For example, herbivory in these ants (in the Cephalotes and Procryptocerus genera) correlated with presence of a specific α-Proteobacteria clade: Rhizobiales. Instead of altering the function of existing microbial community members, the herbivorous ants had One fundamental question that remains unanswered in microbiome studies is: From where does the microbiome arise? Precluding vertically transmitted mutualists and parasites, most animals develop in a sterile environment. However, either during the birth process or after hatching, animals are quickly colonized by microbes from their surroundings. Studies of microbial succession in human infants suggest that this dynamic process takes months to complete and that bacterial species present in the mother may or may not be dominant in the infant [65-67]. Environmental contributions, not transmission from conspecifics, may have a dramatic impact on community composition. Studies involving humans [68] and non-human primates [56] indicate that diet and host geography can significantly impact microbiome composition. Transmission and exchange of microbiota have been studied in the parasitic wasp Nasonia and several bee species. In these insect models, questions of colonization and 4 Unauthenticated Download Date | 6/17/17 4:27 PM Invertebrate systems for hypothesis-driven microbiome research The parasitic wasp, Nasonia (Hymenoptera:Pteromalidae), develops within another insect – the Sarcophaga blowfly. Nasonia mothers lay eggs within the pupae of the blowfly, where the Nasonia larvae grow and pupate, digesting the immobilized Sarcophaga as they develop [69]. Because the parasitic wasp spends part of its life within another insect, we can ask whether or not this primary environment plays a role in shaping the adult Nasonia microbiome. Researchers sampled three Nasonia species, throughout wasp development, each infecting the same Sarcophoga host [70]. As the Nasonia develop, the diversity of the microbial community also increases – pupal microbiome diversity was between two and six times greater than larval microbiome diversity [70]. Also, the authors found microbiota similarity varied along a developmental gradient – larval microbiota more closely resembled that of the Sarcophaga host, while the microbiota of both the pupae, which reside within the Sarcophaga, and the adults, which emerge from the host, diverged in community composition. Due to the behavior of the parasitic wasp, the Nasonia-Sarcophaga system will prove useful to the study of transmission dynamics between insects. For example, both Nasonia and Sarcophaga share genetically similar strains of the intracellular parasite Wolbachia [71], suggesting that in the recent past, and due to their close physical interaction, Wolbachia was transmitted from one insect to another. better able to survive pathogen challenge than those with altered flora [74]. Although the mechanism behind this antagonism has yet to be determined, a normal and robust microbiome in the bumble bee is clearly healthful. Because bumble bees are social insects, social transmission of microbiota between the bees may inoculate future generations, providing a protective benefit to the community [74]. The mating system of the eusocial honey bee (Apis mellifera) provides an interesting opportunity to explore microbiota transmission and exchange within the society. The honey bee gut microbiome is comprised of a well-defined set of bacterial groups [76,77], some of which are also present in the related bumble bee [78], and some of which may be transmitted between caste members during development [79]. The honey bee differs from many other eusocial insects in that queens mate promiscuously, mating with many males and producing genetically diverse colonies [80]. Interestingly, genetically diverse colonies are better able to protect themselves against pathogens compared to genetically uniform colonies (where the queen mates with a single male) [80-83]. Honey bee colonies made up of a diverse group of worker bees are also better able to defend themselves against artificial infection by important bacterial pathogen, Paenibacillus larvae, and have also been found to succumb less frequently to infection in the field as compared to colonies produced from queens mated singly [75,84-86]. Due to the interesting mating system of the honey bee and the ability to experimentally control and manipulate the social environment questions about the origins and development of the microbiome in a society can be addressed in Apis. Bees The advantage of a genetically tractable host Several different species of bees, hymenopteran insects within the Apoidea family, have been utilized as models in which to probe microbiota transmission and exchange. The life-history diversity within the Apoidea, which includes social and solitary insects, allows one to ask questions about the social context of microbiome transmission. One comprehensive study identified environmental sources (such as plants) for lactobacilli found in sweat bees, suggesting that the flowers from which the bees forage may be the source for some microbial community members [72]. Additionally, intergenerational transmission might proceed via nest inoculation because the pollen and other plant material within sweat bee nests were dominated by these same lactobacilli [72]. Several studies have focused on other important pollinators, investigating possible benefits to the microbiota found in bees [73-76]. Microbiota found within bumble bee colonies, for example, may protect against specific eukaryotic parasites [74]. The authors attempted to create germ-free bumble bees and although unsuccessful, they managed to severely alter the normal microbiota present in the insects [74]. Bumble bees harboring the altered microbial community were then challenged with Crithidia bombi parasites. Their survival was then compared to bees that had been allowed access to fecal material from normal bumble bees. Bumble bees inoculated with fecal material were Among the invertebrate systems currently being used to investigate microbiome function, the Drosophila model (Diptera:Drosophilidae) stands out as potentially transformative. The gut associated microbes found in Drosophila have been reviewed elsewhere [87], and comprise a very small community of bacteria and yeasts [88,89]. However, this simple community has been shown to dramatically impact host metabolism, immune function and behavior. For example, Drosophila developmental and metabolic homeostasis is significantly altered by the introduction of a mutant microbiome member in the gut and can be reversed by enhancing host insulin/IGF signaling pathways [90]. Also, Drosophila mating preference is affected by the presence of a single microbial member [91], likely via the alteration of cuticular hydrocarbons on the fly host [92]. Drosophila can be made axenic, and microbiome function analyzed in gnotobiotic flies [93]. Finally, the power of Drosophila genetics can be leveraged to understand effects of specific host proteins and pathways on gut microbe interactions. For example, the molecular sensor PGRP-LE seems specific to immune tolerance of microbiota and that sensor modulates the ability of different pathogens and mutualists to colonize the gut [94]. Given the enormous array of Drosophila mutants that exist, and the vast number of genetic tools available, the use of transmission can be cleanly addressed due to the more simple gut community and the ability to massively sample these tractable, small hosts. Nasonia 5 Unauthenticated Download Date | 6/17/17 4:27 PM I.L.G. Newton et al. Drosophila as a model system for dissection of host-microbiota cross talk is seemingly unlimited. associated gut communities are the most heavily studied across all systems, regardless of complexity. Although this allows more direct comparative work, restricting analyses to gut communities can artificially increase the relative importance of diet in shaping community membership and ignore other, potentially distinct, microbial environments within hosts. Indeed, averaging the microbial composition across many different host-associated habitats by extracting nucleic acids from entire animals would blur the importance of specific communities upon any experimental variable investigated. Regardless, invertebrate systems are emerging as excellent models in which to explore hypothesis-driven research with respect to microbiomes. Any system has limitations and caveats – for example, the ability to genetically manipulate Drosophila allows for the investigation of specific questions not possible in the other insect systems mentioned in this review. Additionally, it may be exceedingly difficult to create truly gnotobiotic eusocial insects for the investigation of simplified gut communities, as the complex development of these hosts involves trophylaxis between colony members. However, the systems described herein hold promise – due to the hosts’ ecology, evolution, or behavior – for answering specific, welldefined questions. Future Work and Perspectives Unfortunately, “microbiome” has largely become synonymous with the bacterial community – most projects ignore or only touch on the archael, viral, and eukaryotic community members. We expect that as comparative databases are assembled and curated, and as the tools for amplicon study in non-bacterial microbial domains are improved, researchers will be able to generate a more complete view of the microbiome. Although originally coined to specifically refer to host-associated microbial communities [95], the word “microbiome” is now utilized broadly to refer to any habitat. That being said, it is unclear whether the deviation in the usage of the word “microbiome” would change the field of investigation or alter the framing of research questions. While superficially it may seem that the host-associated habitat is but one of several kinds of microbial environments there is a vital difference: the host can evolve in response to the microbes present. It is likely that this important property serves to limit the kind and diversity of microbes present, as well as to select for particular groups coevolved with their hosts. Finally, host- References [1] Pace NR, Olsen GJ, Woese CR, Ribosomal RNA phylogeny and the primary lines of evolutionary descent. Cell. 1986. 45(3):325-326. [2] Wooley JC, Godzik A, Friedberg I, A primer on metagenomics. PLoS Comput Biol. 2010. 6(2): e1000667. [3] Simon C Daniel R, Metagenomic analyses: past and future trends. Appl Environ Microbiol. 2011. 77(4):1153-1161. [4] Schloss PD, Westcott SL, Assessing and improving methods used in operational taxonomic unit-based approaches for 16S rRNA gene sequence analysis. Appl Environ Microbiol. 2011. 77(10):3219-3226. [5] Su C, et al., Culture-independent methods for studying environmental microorganisms: methods, application, and perspective. Appl Microbiol Biotechnol. 2012. 93(3):993-1003. [6] Tyson GW, et al., Community structure and metabolism through reconstruction of microbial genomes from the environment. Nature. 2004. 428(6978):37-43. [7] Chapelle FH, et al., A hydrogen-based subsurface microbial community dominated by methanogens. Nature. 2002. 415(6869):312-315. [8] Nealson KH, Venter JC, Metagenomics and the global ocean survey: what’s in it for us, and why should we care? ISME J. 2007. 1(3):185-187. [9] Gilbert JA, et al., Meeting report: the terabase metagenomics workshop and the vision of an Earth microbiome project. Stand Genomic Sci. 2010. 3(3):243-248. [10] Gilbert JA, et al., The Earth Microbiome Project: Meeting report of the “1 EMP meeting on sample selection and [11] [12] [13] [14] [15] [16] [17] [18] [19] 6 acquisition” at Argonne National Laboratory October 6 2010. Stand Genomic Sci. 2010. 3(3):249-253. Rosenberg E, Sharon G, and Zilber-Rosenberg I, The hologenome theory of evolution contains Lamarckian aspects within a Darwinian framework. Environ Microbiol. 2009. 11(12):2959-2962. Zilber-Rosenberg I, Rosenberg E, Role of microorganisms in the evolution of animals and plants: the hologenome theory of evolution. FEMS Microbiol Rev. 2008. 32(5):723735. Turnbaugh PJ, et al., The human microbiome project. Nature. 2007. 449(7164):804-810. Huse SM, et al., Ironing out the wrinkles in the rare biosphere through improved OTU clustering. Environ Microbiol. 2010. 12(7):1889-1898. Sogin ML, et al., Microbial diversity in the deep sea and the underexplored “rare biosphere”. Proc Natl Acad Sci USA. 2006. 103(32):12115-12120. Turnbaugh PJ, et al., A core gut microbiome in obese and lean twins. Nature. 2009. 457(7228):480-484. Hamady M, Knight R, Microbial community profiling for human microbiome projects: Tools, techniques, and challenges. Genome Res. 2009. 19(7):1141-1152. Caporaso JG, et al., Moving pictures of the human microbiome. Genome Biol. 2011. 12(5):R50. Ley RE, Knight R, Gordon JI, The human microbiome: eliminating the biomedical/environmental dichotomy in microbial ecology. Environ Microbiol. 2007. 9(1):3-4. Unauthenticated Download Date | 6/17/17 4:27 PM Invertebrate systems for hypothesis-driven microbiome research [20] Turnbaugh PJ, et al., The effect of diet on the human gut microbiome: a metagenomic analysis in humanized gnotobiotic mice. Sci Transl Med. 2009. 1(6):6ra14. [21] Consortium THMP, Structure, function and diversity of the healthy human microbiome. Nature. 2012. 486(7402):207-214. [22] Douglas AE, Nutritional interactions in insect-microbial symbioses: aphids and their symbiotic bacteria Buchnera. Annu Rev Entomol. 1998. 43:17-37. [23] Akman Gunduz E, Douglas AE, Symbiotic bacteria enable insect to use a nutritionally inadequate diet. Proc Biol Sci. 2009. 276(1658):987-991. [24] Baumann P, Biology bacteriocyte-associated endosymbionts of plant sap-sucking insects. Annu Rev Microbiol. 2005. 59:155-189. [25] Liu S, et al., Deep sequencing of the transcriptomes of soybean aphid and associated endosymbionts. PLoS One. 2012. 7(9):e45161. [26] Liu N, et al., Microbiome of fungus-growing termites: a new reservoir for lignocellulase genes. Appl Environ Microbiol. 2011. 77(1):48-56. [27] Warnecke F, et al., Metagenomic and functional analysis of hindgut microbiota of a wood-feeding higher termite. Nature. 2007. 450(7169):560-565. [28] Suen G, et al., An insect herbivore microbiome with high plant biomass-degrading capacity. PLoS Genetics. 2010. 6(9):e1001129. [29] Watanabe H, Tokuda G, Cellulolytic systems in insects. Annu Rev Entomol. 2010. 55:609-632. [30] Himmel ME, et al., Biomass recalcitrance: engineering plants and enzymes for biofuels production. Science. 2007. 315(5813):804-807. [31] Rubin EM, Genomics of cellulosic biofuels. Nature. 2008. 454(7206):841-845. [32] Morrison M, et al., Plant biomass degradation by gut microbiomes: more of the same or something new? Curr Opin Biotechnol. 2009. 20(3):358-363. [33] Kim M, Morrison M, Yu ZT, Status of the phylogenetic diversity census of ruminal microbiomes. FEMS Microbiology Ecol. 2011. 76(1):49-63. [34] Pope PB, et al., Metagenomics of the Svalbard reindeer rumen microbiome reveals abundance of polysaccharide utilization loci. PLoS One. 2012. 7(6):e38571. [35] Qi M, et al., Snapshot of the eukaryotic gene expression in muskoxen rumen--a metatranscriptomic approach. PLoS One. 2011. 6(5):e20521. [36] Wright AD, Northwood KS, Obispo NE, Rumen-like methanogens identified from the crop of the folivorous South American bird, the hoatzin (Opisthocomus hoazin). ISME J. 2009. 3(10):1120-1126. [37] Zhu LF, et al., Evidence of cellulose metabolism by the giant panda gut microbiome. Proc Natl Acad Sci USA. 2011. 108(43):17714-17719. [38] Godoy-Vitorino F, et al., Comparative analyses of foregut and hindgut bacterial communities in hoatzins and cows. ISME J. 2012. 6(3):531-41. [39] Brulc JM, et al., Cellulosomics, a Gene-Centric Approach to Investigating the Intraspecific Diversity and Adaptation of Ruminococcus flavefaciens within the Rumen. PLoS One. 2011. 6(10):e25329. [40] de Menezes AB, et al., Microbiome analysis of dairy cows fed pasture or total mixed ration diets. FEMS Microbiol Ecol. 2011. 78(2):256-265. [41] Pitta DW, et al., Rumen bacterial diversity dynamics associated with changing from bermudagrass hay to grazed winter wheat diets. Microb Ecol. 2010. 59(3):511-522. [42] Duan CJ, et al., Isolation and partial characterization of novel genes encoding acidic cellulases from metagenomes of buffalo rumens. J Appl Microbiol. 2009. 107(1):245-256. [43] Abril A, Bucher E, Evidence that the fungus cultured by leaf-cutting ants does not metabolize cellulose. Ecol Letts. 2002. 5:325-328. [44] Poulsen M, Currie CR, Symbiont interactions in a tripartite mutualism: exploring the presence and impact of antagonism between two fungus-growing ant mutualists. PLoS One. 2010. 5(1):e8748. [45] Cafaro MJ, et al., Specificity in the symbiotic association between fungus-growing ants and protective Pseudonocardia bacteria. Proc Biol Sci. 2011. 278(1713):1814-1822. [46] Currie, CR, et al., Coevolved crypts and exocrine glands support mutualistic bacteria in fungus-growing ants. Science. 2006. 311(5757):81-83. [47] Gerardo, NM, Mueller UG, Currie CR, Complex hostpathogen coevolution in the Apterostigma fungus-growing ant-microbe symbiosis. BMC Evol Biol. 2006. 6:88. [48] Gerardo, NM, et al., Exploiting a mutualism: parasite specialization on cultivars within the fungus-growing ant symbiosis. Proc Biol Sci. 2004. 271(1550):1791-1798. [49] Visser, AA, et al., Exploring the potential for actinobacteria as defensive symbionts in fungus-growing termites. Microb Ecol. 2012. 63(4):975-985. [50] Aylward, FO, et al., Metagenomic and metaproteomic insights into bacterial communities in leaf-cutter ant fungus gardens. ISME J. 2012. 6(9):1688-1701. [51] Brulc, JM, et al., Gene-centric metagenomics of the fiberadherent bovine rumen microbiome reveals forage specific glycoside hydrolases. Proc Natl Acad Sci USA. 2009. 106(6):1948-1953. [52] Todaka, N, et al., Phylogenetic analysis of cellulolytic enzyme genes from representative lineages of termites and a related cockroach. PLoS One. 2010. 5(1):e8636. [53] Xie, L, et al., Profiling the metatranscriptome of the protistan community in Coptotermes formosanus with emphasis on the lignocellulolytic system. Genomics. 2012. 99(4):246-255. [54] Ley, RE, et al., Evolution of mammals and their gut microbes. Science. 2008. 320(5883):1647-1651. [55] Ochman, H, et al., Evolutionary relationships of wild hominids recapitulated by gut microbial communities. PLoS Biol. 2010. 8(11):e1000546. [56] Yildirim, S, et al., Characterization of the fecal microbiome from non-human wild primates reveals species specific microbial communities. PLoS One. 2010. 5(11):e13963. 7 Unauthenticated Download Date | 6/17/17 4:27 PM I.L.G. Newton et al. [57] Muegge, BD, et al., Diet drives convergence in gut microbiome functions across mammalian phylogeny and within humans. Science. 2011. 332(6032):970-974. [58] Hehemann, JH, et al., Transfer of carbohydrate-active enzymes from marine bacteria to Japanese gut microbiota. Nature. 2010. 464(7290):908-912. [59] Hehemann, JH, et al., Bacteria of the human gut microbiome catabolize red seaweed glycans with carbohydrate-active enzyme updates from extrinsic microbes. Proc Natl Acad Sci USA. 2012. 109(48):19786-19791. [60] Russell, JA, et al., Bacterial gut symbionts are tightly linked with the evolution of herbivory in ants. Proc Natl Acad Sci USA. 2009. 106(50):21236-21241. [61] Kautz, S, et al., Surveying the microbiome of ants: Comparing 454 pyrosequencing with traditional methods to uncover bacterial diversity. Appl Environ Microbiol. 2013 Jan;79(2):525-34. [62] Ley, RE, Peterson DA, Gordon JI, Ecological and evolutionary forces shaping microbial diversity in the human intestine. Cell. 2006. 124(4):837-48. [63] Fan, L, et al., Functional equivalence and evolutionary convergence in complex communities of microbial sponge symbionts. Proc Natl Acad Sci USA. 2012. 109(27):E18781887. [64] Schmitt, S, et al., Assessing the complex sponge microbiota: core, variable and species-specific bacterial communities in marine sponges. ISME J. 2012. 6(3):564-576. [65] Vaishampayan, PA, et al., Comparative metagenomics and population dynamics of the gut microbiota in mother and infant. Genome Biol Evol. 2010. 2:53-66. [66] Gronlund, MM, et al., Influence of mother’s intestinal microbiota on gut colonization in the infant. Gut Microb. 2011. 2(4):227-233. [67] Palmer, C, et al., Development of the human infant intestinal microbiota. PLoS Biol. 2007. 5(7):e177. [68] Yatsunenko, T, et al., Human gut microbiome viewed across age and geography. Nature. 2012. 486(7402):222-227. [69] Werren, JH, Loehlin DW, The parasitoid wasp Nasonia: an emerging model system with haploid male genetics. Cold Spring Harb Protoc. 2009. 2009(10):pdb emo134. [70] Brucker RM, Bordenstein SR, The Roles of Host Evolutionary Relationships (Genus: Nasonia) and Development in Structuring Microbial Communities. Evolution. 2012. 66(2):349-362. [71] Werren JH, Zhang W, Guo LR, Evolution and phylogeny of Wolbachia: reproductive parasites of arthropods. Proc Biol Sci. 1995. 261(1360):55-63. [72] McFrederick, QS, et al., Environment or kin: whence do bees obtain acidophilic bacteria? Mol Ecol. 2012. 21(7):17541768. [73] Engel P, Martinson VG, Moran NA, Functional diversity within the simple gut microbiota of the honey bee. Proc Natl Acad Sci USA. 2012. 109(27):11002-11007. [74] Koch H, Schmid-Hempel P, Socially transmitted gut microbiota protect bumble bees against an intestinal [75] [76] [77] [78] [79] [80] [81] [82] [83] [84] [85] [86] [87] [88] [89] [90] [91] [92] 8 parasite. Proc Natl Acad Sci USA. 2011. 108(48):1928819292. Mattila HR, et al., Characterization of the active microbiotas associated with honey bees reveals healthier and broader communities when colonies are genetically diverse. PLoS One. 2012. 7(3):e32962. Newton IL, Roeselers G, The effect of training set on the classification of honey bee gut microbiota using the Naive Bayesian Classifier. BMC Microbiol. 2012. 12(1):221. Cox-Foster DL, et al., A metagenomic survey of microbes in honey bee colony collapse disorder. Science. 2007. 318(5848):283-287. Koch H, et al., Diversity and evolutionary patterns of bacterial gut associates of corbiculate bees. Mol Ecol. 2013. 22(7): 2028-2044. Martinson VG, Moy J, Moran NA, Establishment of characteristic gut bacteria during development of the honey bee worker. Appl Environ Microbiol. 2012. 78(8):2830-2840. Mattila HR, Burke KM, Seeley TD, Genetic diversity within honey bee colonies increases signal production by waggledancing foragers. Proc Biol Sci. 2008. 275(1636):809-816. Girard MB, Mattila HR, Seeley TD, Recruitment-dance signals draw larger audiences when honey bee colonies have multiple patrilines. Insectes Soc. 2011. 58(1):77-86. Mattila HR, Reeve HK, Smith ML, Promiscuous honey bee queens increase colony productivity by suppressing worker selfishness. Curr Biol. 2012. 22(21):2027-2031. Mattila HR, Seeley TD, Genetic diversity in honey bee colonies enhances productivity and fitness. Science. 2007. 317(5836):362-364. Cremer S, Armitage SA, Schmid-Hempel P, Social immunity. Curr Biol. 2007. 17(16):R693-R702. Seeley TD, Tarpy DR, Queen promiscuity lowers disease within honey bee colonies. Proc Biol Sci. 2007. 274(1606):67-72. Tarpy DR, TD Seeley, Lower disease infections in honey bee (Apis mellifera) colonies headed by polyandrous vs monandrous queens. Naturwissenschaften. 2006. 93(4):195199. Broderick NA, Lemaitre B, Gut-associated microbes of Drosophila melanogaster. Gut Microb. 2012. 3(4):307-321. Chandler JA, Eisen JA, Kopp A, Yeast Communities of Diverse Drosophila Species: Comparison of Two Symbiont Groups in the Same Hosts. Appl Environ Microbiol. 2012. 78(20):7327-7336. Chandler JA, et al., Bacterial Communities of Diverse Drosophila Species: Ecological Context of a Host-Microbe Model System. PLoS Genetics. 2011. 7(9): e1002272. Shin SC, et al., Drosophila Microbiome Modulates Host Developmental and Metabolic Homeostasis via Insulin Signaling. Science. 2011. 334(6056):670-674. Sharon G, et al., Commensal bacteria play a role in mating preference of Drosophila melanogaster. Proc Natl Acad Sci USA. 2010. 107(46):20051-20056. Ringo J, Sharon G, Segal D, Bacteria-induced sexual isolation in Drosophila. Fly (Austin). 2011 5(4) 310-315. Unauthenticated Download Date | 6/17/17 4:27 PM Invertebrate systems for hypothesis-driven microbiome research [93] Ridley EV, et al., Impact of the resident microbiota on the nutritional phenotype of Drosophila melanogaster. PLoS One. 2012. 7(5):e36765. [94] Bosco-Drayon V, et al., Peptidoglycan sensing by the receptor PGRP-LE in the Drosophila gut induces immune responses to infectious bacteria and tolerance to microbiota. Cell Host Microbe. 2012. 12(2):153-165. [95] Lederberg J, McCray AT, ‘Ome sweet ‘omics - A genealogical treasury of words. Scientist. 2001. 15(7):8. [96] Simister RL, et al., Sponge-specific clusters revisited: a comprehensive phylogeny of sponge-associated microorganisms. Environ Microbiol. 2012. 14(2):517-524. [97] Thomas T, et al., Functional genomic signatures of sponge bacteria reveal unique and shared features of symbiosis. ISME J. 2010. 4(12):1557-67. [98] Webster NS, et al., Deep sequencing reveals exceptional diversity and modes of transmission for bacterial sponge symbionts. Environ Microbiol. 2010. 12(8):2070-2082. [99] Rawls JF, et al., Reciprocal gut microbiota transplants from zebrafish and mice to germ-free recipients reveal host habitat selection. Cell. 2006. 127(2):423-433. [100] Rawls JF, Samuel BS, JI Gordon, Gnotobiotic zebrafish reveal evolutionarily conserved responses to the gut microbiota. Proc Natl Acad Sci USA. 2004. 101(13):4596-4601. [101] Roeselers G, et al., Evidence for a core gut microbiota in the zebrafish. ISME J. 2011. 5(10):1595-1608. [102] Sullam KE, et al., Environmental and ecological factors that shape the gut bacterial communities of fish: a meta-analysis. Mol Ecol. 2012. 21(13):3363-3378. [103] Godoy-Vitorino F, et al., Developmental microbial ecology of the crop of the folivorous hoatzin. ISME J. 2010. 4(5):611620. [104] Godoy-Vitorino F, et al., Differences in crop bacterial community structure between hoatzins from different geographical locations. Res Microbiol. 2012. 163(3):211220. [105] Godoy-Vitorino F, et al., Bacterial community in the crop of the hoatzin, a neotropical folivorous flying bird. Appl Environ Microbiol. 2008. 74(19):5905-5912. [106] Danzeisen JL, et al., Modulations of the chicken cecal microbiome and metagenome in response to anticoccidial and growth promoter treatment. PLoS One. 2011. 6(11):e27949. [107] Hume ME, et al., Molecular identification and characterization of ileal and cecal fungus communities in broilers given probiotics, specific essential oil blends, and under mixed Eimeria infection. Foodborne Pathog Dis. 2012. 9(9):853-860. [108] Nakphaichit M, et al., The effect of including Lactobacillus reuteri KUB-AC5 during post-hatch feeding on the growth and ileum microbiota of broiler chickens. Poult Sci. 2011. 90(12):2753-2765. [109] Qu A, et al., Comparative metagenomics reveals host specific metavirulomes and horizontal gene transfer elements in the chicken cecum microbiome. PLoS One. 2008. 3(8):e2945. [110] Lankau EW, Hong PY, Mackie RI, Ecological drift and local exposures drive enteric bacterial community differences within species of Galapagos iguanas. Mol Ecol. 2012. 21(7):1779-1788. [111] Costello EK, et al., Postprandial remodeling of the gut microbiota in Burmese pythons. ISME J. 2010. 4(11):13751385. [112] Phillips CD, et al., Microbiome analysis among bats describes influences of host phylogeny, life history, physiology and geography. Mol Ecol. 2012. 21(11):2617-2627. [113] Beloqui A, et al., Diversity of glycosyl hydrolases from cellulose-depleting communities enriched from casts of two earthworm species. Appl Environ Microbiol. 2010. 76(17):5934-5946. [114] Andreotti R, et al., Assessment of bacterial diversity in the cattle tick Rhipicephalus (Boophilus) microplus through tagencoded pyrosequencing. BMC Microbiol. 2011. 11(1):6. [115] Carpi G, et al., Metagenomic profile of the bacterial communities associated with Ixodes ricinus Ticks. PLoS One. 2011. 6(10):e25604. [116] Hawlena H, et al., The arthropod, but not the vertebrate host or its environment, dictates bacterial community composition of fleas and ticks. ISME J. 2012. 7(1): 221-223. [117] Boissiere A, et al., Midgut microbiota of the malaria mosquito vector Anopheles gambiae and interactions with Plasmodium falciparum infection. PLoS Pathog. 2012. 8(5):e1002742. [118] Dinparast Djadid N, et al., Identification of the midgut microbiota of An. stephensi and An. maculipennis for their application as a paratransgenic tool against malaria. PLoS One. 2011. 6(12):e28484. [119] Wang Y, et al., Dynamic gut microbiome across life history of the malaria mosquito Anopheles gambiae in Kenya. PLoS One. 2011. 6(9):e24767. [120] Weiss B, Aksoy S, Microbiome influences on insect host vector competence. Trends Parasitol. 2011. 27(11):514-522. [121] Kohler T, et al., High-resolution analysis of gut environment and bacterial microbiota reveals functional compartmentation of the gut in wood-feeding higher termites (Nasutitermes spp.). Appl Environ Microbiol. 2012. 78(13):4691-4701. [122] Sudakaran S, et al., Geographical and ecological stability of the symbiotic mid-gut microbiota in European firebugs, Pyrrhocoris apterus (Hemiptera, Pyrrhocoridae). Mol Ecol. 2012. 21(24):6134-6151. 9 Unauthenticated Download Date | 6/17/17 4:27 PM
© Copyright 2025 Paperzz