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Bioinformatics for Whole-Genome Shotgun Sequencing of Microbial Communities View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by PubMed Central Review Bioinformatics for Whole-Genome Shotgun Sequencing of Microbial Communities Kevin Chen*, Lior Pachter* ABSTRACT sequencing of the entire clone library has emerged as a third approach to metagenomics. Unlike previous approaches, he application of whole-genome shotgun sequencing which typically study a single gene or individual genomes, this to microbial communities represents a major approach offers a more global view of the community, T development in metagenomics, the study of allowing us to better assess levels of phylogenetic diversity uncultured microbes via the tools of modern genomic and intraspecies polymorphism, study the full gene analysis. In the past year, whole-genome shotgun sequencing complement and metabolic pathways in the community, and projects of prokaryotic communities from an acid mine in some cases, reconstruct near-complete genome sequences. biofilm, the Sargasso Sea, Minnesota farm soil, three deep-sea WGS also has the potential to discover new genes that are too whale falls, and deep-sea sediments have been reported, diverged from currently known genes to be amplified with adding to previously published work on viral communities PCR, or heterologously expressed in common hosts, and is from marine and fecal samples. The interpretation of this especially important in the case of viral communities because new kind of data poses a wide variety of exciting and difficult of the lack of a universal gene analogous to 16S. bioinformatics problems. The aim of this review is to Nine shotgun sequencing projects of various communities introduce the bioinformatics community to this emerging have been completed to date (Table 1). The biological insights field by surveying existing techniques and promising new from these studies have been well-reviewed elsewhere [3,6]. approaches for several of the most interesting of these Here, we highlight just two studies that exemplify the exciting computational problems. Introduction Table 1. Published Microbial Community Shotgun Sequencing Projects Metagenomics is the application of modern genomics techniques to the study of communities of microbial Type Community Species Sequence (Mbp) Reference organisms directly in their natural environments, bypassing the need for isolation and lab cultivation of individual species Prokaryote Acid mine biofilm 5 75 18 [1–6]. The field has its roots in the culture-independent Sargasso Sea 1,800 1,600 19 retrieval of 16S rRNA genes, pioneered by Pace and Minnesota soil 3,000 100 21 colleagues two decades ago [7]. Since then, metagenomics has Whale falls 150 25 21 Deep-sea sedimenta ? 111 22 revolutionized microbiology by shifting focus away from Viralb Sea water 374-7114 0.74 30 clonal isolates towards the estimated 99% of microbial Marine sediment 103–106 0.7 71 species that cannot currently be cultivated [8,9]. Human feces 1,200 0.037 54 A typical metagenomics project begins with the Equine feces 233 0.018 72 construction of a clone library from DNA sequence retrieved from an environmental sample. Clones are then selected for aThe deep-sea sediment project used an additional 20 Mbp of fosmid sequence and also a filter to reduce the complexity of the community prior to sequencing. sequencing using either functional or sequence-based bThe viral projects used linker-amplified shotgun libraries. screens. In the functional approach, genes retrieved from the DOI: 10.1371/journal.pcbi.0010024.t001 environment are heterologously expressed in a host, such as Escherichia coli, and sophisticated functional screens employed to detect clones expressing functions of interest [10–12]. This Citation: Chen K, Pachter L (2005) Bioinformatics for whole-genome shotgun approach has produced many exciting discoveries and sequencing of microbial communities. PLoS Comp Biol 1(2): e24. spawned several companies aiming to retrieve marketable Copyright: Ó 2005 Chen and Pachter. This is an open-access article distributed natural products from the environment (e.g., Diversa [http:// under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the www.diversa.com] and Cubist Pharmaceuticals [http:// original author and source are credited. www.cubist.com]). In the sequence-based approach, clones Abbreviations: HMM, hidden Markov model; MSA, multiple sequence alignment; are selected for sequencing based on the presence of either WGS, whole-genome shotgun phylogenetically informative genes, such as 16S, or other Kevin Chen is in the Department of Electrical Engineering and Computer Science genes of biological interest [13–17]. The most prominent and Lior Pachter is in the Department of Mathematics at the University of discovery from this approach thus far is the discovery of the California, Berkeley, California, United States of America. proteorhodopsin gene from a marine community [14]. *To whom correspondence should be addressed. E-mail: [email protected] Recently, facilitated by the increasing capacity of (KC), [email protected] (LP) sequencing centers, whole-genome shotgun (WGS) DOI: 10.1371/journal.pcbi.0010024 PLoS Computational Biology | www.ploscompbiol.org0106 July 2005 | Volume 1 | Issue 2 | e24 possibilities of the approach. The acid mine biofilm from a different individual in the population. Second, highly community [18] is an extremely simple model system, conserved sequence shared between different species can consisting of only four dominant species, so a relatively seed contigs and cause false overlaps. In some communities, miniscule amount of shotgun sequencing (75 Mbp) was even phylogenetically distant genomes can share a large enough to produce two near-complete genome sequences number of genes [29]. Careful study of the optimal overlap and detailed information about metabolic pathways and parameters for separating out sequences at different strain-level polymorphism. At the other end of the spectrum, phylogenetic distances is important, and has been carried out the Sargasso Sea community is extremely complex, for viral communities [30], but not yet for prokaryotes. containing more than 1,800 species [19,20]. Nonetheless, with The assembly of communities has strong similarities to the an enormous amount of sequencing (1.6 Gbp), vast amounts assembly of highly polymorphic diploid eukaryotes, such as of previously unknown diversity were discovered, including Ciona savigny [26] and Candida albicans [31], if we view over 1.2 million new genes, 148 new species, and numerous prokaryotic strains as analogous to eukaryotic haplotypes. new rhodopsin genes. These results were especially surprising The main difference is that in a microbial community, the given how well the community had been studied previously, number of strains is unknown and potentially large, and their and suggest that equally large amounts of biological diversity relative abundance is also unknown and potentially skewed, await future discovery. while in most eukaryotes we know a priori the number of In this review, we survey several of the most interesting haplotypes and their relative abundance. This disadvantage is computational problems that arise from WGS sequencing of mitigated somewhat by the small size and relative lack of communities. Traditional approaches to classic repetitive sequence in prokaryotic and viral genomes, so that bioinformatics problems such as assembly, gene finding, and the issue of distinguishing alleles from paralogs and phylogeny need to be reconsidered in light of this new kind of polymorphism from repetitive sequence is less acute. data, while new problems need to be addressed, including Thus far, both community assembly and polymorphic how to compare communities, how to separate sequence eukaryotic assembly have been performed by running a from different organisms in silico, and how to model single-genome assembler, such as the Celera assembler [32] or population structures using WGS assembly statistics. We Jazz [33], and then manually post-processing the resulting discuss all these problems and their connections to other scaffolds to correct assembly errors. Contigs erroneously split areas of bioinformatics, such as the assembly of highly apart because of polymorphism are reconnected, and contigs polymorphic genomes, gene expression analysis, and based on false overlaps are broken apart. Not surprisingly, ad supertree methods for phylogenetic reconstruction. hoc heuristics must be employed to adapt programs Although we have chosen to focus on the shotgun optimized for single-genome assembly: the Celera assembler, sequencing approach, we stress that this is only one piece of for instance, treats high-depth contigs associated with the exciting field of metagenomics, and that the integration abundant species as repetitive sequence. of other techniques such as large-insert clone sequencing, A promising direction for both these problems is co- microarray analysis, and proteomics will be vital to achieve a assembly, in which two very closely related genomes (or even comprehensive view of microbial communities. two assemblies of the same genome) are assembled concurrently, using alignment information to complement Assembling Communities mate-pair information in ordering scaffolds and correcting assembly errors in a structured, automated way. Thus far, the The retrieval of nearly complete genomes from the only published work on this problem is that of Sundararajan
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