Genome fluctuations in cyanobacteria reflect evolutionary, developmental and adaptive traits
© Larsson et al; licensee BioMed Central Ltd. 2011
Received: 24 February 2011
Accepted: 30 June 2011
Published: 30 June 2011
Cyanobacteria belong to an ancient group of photosynthetic prokaryotes with pronounced variations in their cellular differentiation strategies, physiological capacities and choice of habitat. Sequencing efforts have shown that genomes within this phylum are equally diverse in terms of size and protein-coding capacity. To increase our understanding of genomic changes in the lineage, the genomes of 58 contemporary cyanobacteria were analysed for shared and unique orthologs.
A total of 404 protein families, present in all cyanobacterial genomes, were identified. Two of these are unique to the phylum, corresponding to an AbrB family transcriptional regulator and a gene that escapes functional annotation although its genomic neighbourhood is conserved among the organisms examined. The evolution of cyanobacterial genome sizes involves a mix of gains and losses in the clade encompassing complex cyanobacteria, while a single event of reduction is evident in a clade dominated by unicellular cyanobacteria. Genome sizes and gene family copy numbers evolve at a higher rate in the former clade, and multi-copy genes were predominant in large genomes. Orthologs unique to cyanobacteria exhibiting specific characteristics, such as filament formation, heterocyst differentiation, diazotrophy and symbiotic competence, were also identified. An ancestral character reconstruction suggests that the most recent common ancestor of cyanobacteria had a genome size of approx. 4.5 Mbp and 1678 to 3291 protein-coding genes, 4%-6% of which are unique to cyanobacteria today.
The different rates of genome-size evolution and multi-copy gene abundance suggest two routes of genome development in the history of cyanobacteria. The expansion strategy is driven by gene-family enlargment and generates a broad adaptive potential; while the genome streamlining strategy imposes adaptations to highly specific niches, also reflected in their different functional capacities. A few genomes display extreme proliferation of non-coding nucleotides which is likely to be the result of initial expansion of genomes/gene copy number to gain adaptive potential, followed by a shift to a life-style in a highly specific niche (e.g. symbiosis). This transition results in redundancy of genes and gene families, leading to an increase in junk DNA and eventually to gene loss. A few orthologs can be correlated with specific phenotypes in cyanobacteria, such as filament formation and symbiotic competence; these constitute exciting exploratory targets.
Cyanobacteria have played an important role in the history of life on Earth as the inventors of oxygenic photosynthesis, which gradually changed atmospheric chemistry to allow the evolution of Eukarya . Being at the base of global carbon and nitrogen biogeochemical cycles, the latter due to the ability of many genera to fix atmospheric nitrogen gas, has provided them with essential roles in the evolutionary past and in modern ecosystems. The capacity to form stable symbiotic interactions with eukaryotic hosts is another remarkable feature of cyanobacteria, which led to the plastid we today term chloroplasts, and eventually to the plant dominated biosphere of the globe [2, 3]. This green plastid is able to capture and transform the light-energy of the sun into biologically useful forms of energy and thereby to fix the carbon that life is built upon. The eukaryotic hosts in contemporary cyanobacterial symbiosis range from the amoeboid Paulinella chromatophora, which harbours a unicellular endosymbiotic cyanobacterium [4, 5], to a number of plant species spread within the plant kingdom . The latter all act as hosts to the more complex cyanobacteria differentiating for instance heterocysts, a specific cell type in which nitrogen fixation takes place. The frequency of this nitrogen-fixing cell type is often considerably enhanced in symbiosis to support the plant with its total need of combined nitrogen .
The flexibility in life styles of cyanobacteria is underpinned by the highly diverse morphology of the cyanobacterial phylum (filamentous/unicellular and multi-cellularity), in their self-sufficiency in terms of physiological capabilities (e.g. photosynthesis and nitrogen fixation), which in turn allows their wide habitat occupancy-range on a global scale (marine/freshwater/soils), often including extreme environments (e.g. from cold arctic to hot springs and desert regions). Cyanobacterial diversity is reflected also at the genomic level. Sequencing efforts over recent years have clearly shown that genomes within the cyanobacterial phylum vary considerably in aspects such as size (~1.4-9.1 Mbp), G+C content (31-63%), number of protein coding genes (1214-8446) and coding nucleotide proportion (52-94%) (see e.g. [8–13]).
We recently reported on the complete genome sequence of the heterocystous cyanobacterial symbiont (cyanobiont), 'Nostoc azollae' 0708, in the small aquatic fern Azolla filiculoides and discovered features signifying a genome in a state of erosion . The Azolla symbiosis is a highly integrated mutualistic symbiosis between a pro- and a eukaryote, the heart of which is a nutritional dependence by the plant on the perpetual source of combined nitrogen delivered by the nitrogen-fixing cyanobacterium. This is accomplished through a number of unique features of the Azolla symbiosis, many of which suggest a long-lasting co-adaptation between the partners. Firstly, the filamentous cyanobacterium colonizes and is kept as a restricted population in the extracellular cavity that is formed in each Azolla leaf . Secondly, the host maintains the cyanobiont population between generations, accomplished through an ingenious and complex vertical transfer mechanism not found in any other plant symbiosis, built on multiple cyanobacterial cell differentiation events . In this process the Azolla reproductive organ, the sporocarp, acts as the transfer vehicle of the cyanobacterial inoculum between plant generations. Thirdly, the cyanobiont seems to have lost (at least part of) its autonomy as it can no longer grow outside the plant , making it an obligate symbiont, again the only known among plant symbioses.
Interestingly, our genomic analyses showed that the genome of the Azolla cyanobiont contains numerous pseudogenes spread over all functional categories. This indicates a severe loss of function, which has forced the cyanobiont to rely on its host for survival. One central question in relation to the cyanobiont of Azolla is to what extent the unique obligate life-style of this cyanobacterium has influenced the eroding process of its genome and, more importantly, whether this is a contemporary example of a nitrogen-fixing plant plastid in the making. Recent reports show other interesting examples of reduced genomes within the cyanobacterial phylum, such as the smallest known genomes among the more complex Section IV cyanobacteria (filamentous, heterocystous and plant symbionts), Cylindrospermopsis raciborskii CS-505 and Raphidiopsis brookii D9  and the streamlined genome of a marine nitrogen-fixing unicellular cyanobacterium (cyanobacterium UCYN-A; ). These organisms all show signs of genome reduction, although they, in contrast to the Azolla cyanobiont, are not known to form symbioses. C. raciborskii differentiates only terminal and R. brookii only incompletely developed heterocysts, and the cyanobacterium UCYN-A lacks some genes (among many other present in most cyanobacteria) for photosystem II. Prompted by our findings about the genome of the Azolla cyanobiont and these recent reports, combined with the increased wealth of genomic information, we set out to elucidate in greater detail the evolutionary history of the large fluctuations apparent in genome size and content within the cyanobacterial phylum. In the past few years, studies on the phylogeny of cyanobacteria, based upon varying numbers of sequenced genomes and conserved proteins, have been presented [17–19] and aided the identification of major clades within the phylum. The growing number of available genome sequences, however, warrants an updated and robust phylogeny and an analysis of the genomic changes which have occurred within the cyanobacterial lineage.
Based on phylogenetic analysis of 285 orthologous protein groups present in 58 sequenced genomes, we analysed evolutionary patterns of genome composition in cyanobacteria and reconstructed the genome of the most recent common cyanobacterial ancestor. We also assessed the extent of genome reduction and expansion (the former an indication of adaptation to a specific niche, and the latter of a broadened phenotype and adaptation to varying environments) within the phylum and searched for genetic and functional signatures related to morphology, cell development and symbiosis.
Phylogenetic analysis and the cyanobacterial core
In total, 18 finished genomes were missing genes, or had only pseudogenes, in one or more orthologous groups where all other genomes were represented (see additional file 3). These missing orthologs are likely the result of specific adaptations for each individual genome, or of extensive divergence of proteins that may cause them to escape identification. The marine unicellular cyanobacterium UCYN A (Ucyn), misses 127 orthologs present in all other genomes corresponding to genes such as those coding for proteins of the PSII complex (see additional file 3). Its minimal genome (~1.44 Mbp) and lack of crucial genes suggest that Ucyn is in reality an obligate symbiont, although no eukaryotic host has been found . In most other genomes only a few (1-19, maximum in Glov) orthologs were missing or non-functional.
'Nostoc azollae' 0708 (NoAz) is the only obligate plant symbiont among the 58 cyanobacteria investigated; the reason for its obligate dependence on its host is as yet unknown. However, we identified two protein groups present in all other genomes, which in NoAz were non-functional pseudogenes. These correspond to a geranylgeranyl pyrophosphate synthase and uroporphyrinogen-III synthase HemD. The former is involved in the synthesis of carotenoids and chlorophyll, and the latter is generating precursors of tetrapyrroles such as haem, chlorophyll and bilins, all with important roles in photosynthesis and protection against photooxidative damage.
Of all the protein groups identified, 5127 (31%) are unique to cyanobacteria. That is, they contain no sequences with similarity to proteins in organisms outside the cyanobacterial phylum (BLASTP e-value < 0.01, nr database 24 June 2010). Only two of these unique protein groups, which we term Cya1043 and Cya1555, are represented in all 58 genomes (corresponding to genes all2080 and all0476 in Nostoc sp. PCC 7120, respectively). Cya1043 corresponds to a AbrB family transcriptional regulator, shown to be involved in triggering a number of physiological processes in cyanobacteria, such as nitrogen metabolism , toxin production , photosynthesis  and oxidative stress . Paralogs of this gene are present in 13 genomes, with the highest total number of gene copies in Acaryochloris marina (11 copies in total, three of which are present on the main chromosome). Although no known function could be ascribed to Cya1555, its relative organization in the genomes was highly conserved. In 53 of the 58 genomes the gene was found directly upstream of murG, involved in cell wall and membrane biogenesis. The genomes that represented exceptions to this gene organization were those of the five unicellular strains Synechocystis sp. PCC 6803 (Scys6803), Thermosynechococcus elongatus (Thee), Gloeobacter violaceus (Glov) and Cyanobacteria bacterium Yellowstone A- and B-prime (YellA and YellB). In YellA and YellB the Cya1555 gene is situated between a rhodanese domain protein and an isoleucyl-tRNA synthetase. In Thee, a three-gene cluster composed of the ctaCDE cytochrome c oxidase subunits is located upstream of the gene. Lowering the cut-off on searches (at e-value 0.045, Uniprot database) we found that Cya1555 is distantly related to a DNA-directed RNA polymerase of Mycoplasma penetrans. Among the relaxed core sets, an additional seven orthologs are unique to cyanobacteria. One of these orthologs contains a thioredoxin domain (the gene is missing from the Prochlorochoccus NATL1A and NATL2A genomes) while the other cyano-unique orthologs in the relaxed core sets corresponded to proteins of unknown function.
Evolutionary history of genomes: size and composition
As seen in Figure 4, the inferred genome size of the most recent common ancestor (MRCA) of cyanobacteria is approximately 4.5 Mbp. Based on the presence/absence of orthologs in the nodes of the tree, the genome of the MRCA is estimated to have contained between 1678 and 3291 protein-coding genes (see additional file 4). Given the large number of paralogs in the genomes at the tree nodes we also determined the gene content of the MRCA based on the copy number of genes in orthologous groups. However, this did not shift the gene content to a large extent (1816-3570 protein-coding genes). The coding nucleotide proportion of the MRCA, based on the lowest and highest predicted number of genes is 36 and 70%, respectively. This indicates that the smaller size of the gene set is likely to be an underestimate. Of the estimated MRCA gene set, 206 of the maximum 3291 and 68 of the minimum 1678 orthologs are unique to cyanobacteria. In total, 90 of these cyano-unique groups could be reliably annotated in one or more of the databases used (see Methods). The majority of cyano-unique orthologs in the MRCA gene set to which a COG category could be assigned belonged to the categories Function unknown or General function prediction only (12 orthologs), Transcription (4 orthologs), Replication, recombination and repair (4 orthologs) and Posttranslational modification, protein turnover, chaperones (4 orthologs). Furthermore, this unique set of ancestral cyanobacterial proteins includes an uncharacterised thylakoid-associated protein, a thylakoid membrane protein, the replication initiation and membrane attachment protein (DnaB), four bacterial conjugation TrbI-like proteins, a number of phycocyanin-associated proteins and the circadian clock protein KaiA. Additionally, the MRCA gene set includes the genes nifEHDKUB, involved in the nitrogen fixation process, and the transcriptional regulator patB. However, the presence of these genes in the MRCA could not be inferred unambiguously.
Phenotypic characteristics and functional distribution
Of the 58 cyanobacteria in the dataset, 21 fix atmospheric nitrogen (diazotrophs). The history of nitrogen fixation, as explained by parsimony and our taxonomic sample (Figure 7B), does not exclude the possibility that the cyanobacterial MRCA was diazotrophic. A number of gains and losses of this capacity have clearly occurred throughout the evolution of the cyanobacterial lineage. Nitrogen fixation is, as expected, present in all heterocystous cyanobacteria with the notable exception of Rapb, an example of an organism in the process of losing capacity to differentiate heterocysts and diazotrophy . Another example of loss is seen in the genus Arthrospira (earlier Spirulina). Interestingly, diazotrophy is retained in a number of unicellular cyanobacteria outside Clade 2, including Ucyn with its minimal genome, while it seems to have been lost in the globally wide-spread Mica and in Syn7002 and Scys6803. Hence, there is a general positive correlation between diazotrophy and filamentation on one hand and unicellular cyanobacteria with larger genomes on the other, while the smaller Clade 2 cyanobacteria lack this capacity. The hetR gene, encoding the master regulator for heterocyst development , is also not unexpectedly lacking in Clade 2. The presence of hetR shows a positive correlation with diazotrophy (being present in 10 out of the 21 diazotrophs). The correlation is even stronger between hetR and the filamentous phenotype, whether heterocystous or non-heterocystous, with hetR being present in all 12 filamentous phenotypes examined here. The hetR gene is in addition found in two unicellular strains of Synechococcus (7335 and 7002), being a diazotroph and a non-diazotroph, respectively, where its function is unknown.
Thirteen orthologs were found in all nitrogen-fixing cyanobacteria with finished genomes, but lacking in all non-diazotrophs. Six of these are present in all nitrogen-fixing species and correspond to five genes in the nitrogenase (nif) gene cluster: nifBEHKS (the nifD gene is not included in this ortholog set because its amino acid sequence was missing from the NCBI protein fasta file of Nostoc punctiforme although the gene exists in this genome with a DNA incision element). The remaining ortholog is the XRE family transcriptional regulator patB, which is found in the vicinity of the nif cluster in a few cyanobacteria, but is distantly located in others. Rapb, which appears to have lost the complete nif cluster , did not share any orthologs exclusively with all nitrogen-fixers or all nitrogen-fixers with finished genomes. Similarly to the flanking regions of the nif cluster in Cylr, Rapb shows a high similarity to both sides of the patB gene in Cylr, suggesting a location for patB in Rapb before being lost. The additional six orthologs found only in nitrogen-fixing cyanobacteria correspond to Ferredoxin-3 and the nifUWXZT gene cluster.
Heterocysts are formed by seven organisms in our dataset. We identified 96 orthologs present in all heterocystous cyanobacteria with finished genomes that were absent from all non-heterocystous cyanobacteria (see additional file 6). As for the filamentous phenotype, neither of the heterocyst signature genes were present in the predicted cyanobacterial MRCA. However, 41 of the 96 heterocyst specific orthologs were unique to cyanobacteria. Among these, which mostly correspond to hypothetical genes, are two genes involved in bacterial conjugation (TrbI-like proteins), a gene with a domain found in osmotic shock protection proteins (Pfam ID PF04972) as well as a putative type IV pilus biogenesis gene. Two of the cyanobacteria included in the study do not exhibit a complete developmental mode. Cylr forms only terminal heterocysts and Rapb only partially developed terminal heterocysts . The response regulator gene patA, known to be essential to proper heterocyst pattern formation [40, 41], is among the 96 heterocyst specific orthologs. Rapb lacks this ortholog and a protein alignment of PatA shows that the conserved N-terminal PATAN domain  of the protein is missing in Cylr, which may underpin the presence of exclusively terminal heterocysts in this organism. Of the 96 heterocyst-specific orthologs, not less than 21 orthologs are pseudogenes in NoAz, most of which are involved in solute transport and cell membrane biogenesis. One of the orthologs present in all heterocystous cyanobacteria was found in 3 to 10 copies in all genomes except in NoAz where it is a single-copy gene. No function could be ascribed to this ortholog with the cut-off used. However, lowering the cut-off (at e-value 0.087 in the Pfam database) we find that the ortholog is distantly related to fimbrial proteins (Pfam ID PF00419), which enable bacteria to colonize the epithelia of host organisms and to promote virulence .
The only two proven plant symbionts examined in this study, Nosp and NoAz, exclusively share 13 orthologs (see additional file 7). Notably, NoAz has lost function in seven of these, two belonging to the receptor/sensory family of proteins, one glycosyl transferase involved in cell membrane biogenesis, a threonine/homoserine efflux transporter, a type I phosphodiesterase, a short-chain dehydrogenase of unknown specificity and one ortholog to which no function could be assigned. Of the remaining six orthologs exclusive to the plant symbionts, functions could be assigned to two orthologs: a signal transduction histidine kinase and a glycosyl hydrolase (Pfam ID PF01374) which catalyses the endohydrolysis between N-acetyl-D-glucosamine and D-glucosamine. No other genome in the dataset contained any proteins annotated with this Pfam ID. Two orthologs were exclusive to NoAz, Nosp and Acam, the latter obtained as a symbiont in colonial ascidians , one of which corresponds to a ADP-ribosylglycohydrolase while to the other no function could be ascribed. Additionally, three orthologs were exclusive to NoAz, Nosp, Cylr and Rapb, which may be forming associations. These correspond to a protein with an S-layer homology domain (which coat the surface of bacteria), a Tellurite-resistance protein and a protein with unknown function.
In contrast to Nosp, which is a facultative symbiont, NoAz spends its entire life cycle in a perpetual plant interaction and has suffered severe loss of function with a massive number of pseudogenes mainly in the functional categories related to replication, secondary metabolite biosynthesis, and signal transduction . We reconstructed the ortholog content of the most recent ancestor of NoAz and its closest relatives, Cylr and Rapb. Assuming that NoAz entered into its obligate symbiotic relationship (potentially 140 million years ago ) after diverging from Cylr and Rapb, this represents the last known free-living ancestor of NoAz. Thus, any orthologs in this subset which are missing in the extant NoAz genome should have been lost during its evolution within the plant environment, and possibly reflect redundant functions in this evolutionary setting. We found that NoAz is missing between 56 to 159 orthologs that were present in this free-living ancestor. Most of these belong to the functional classes Energy production (10.4%), Inorganic ion transport and metabolism (9.4%), Nucleotide transport and metabolism (9.3%) and Carbohydrate transport and metabolism (9.1%). Numerous orthologs (28 in total) with similarity to ABC-transporters, permeases and secretory proteins were also missing in NoAz, as was a cell division control protein with a DNA helicase domain, known to resolve Holliday junctions that arise during recombination and repair. In contrast, the functional classes Transcription, Defence mechanisms and Translation were the least represented among the missing orthologs.
Our comparative analyses of cyanobacterial genomes revealed a core gene set of 404 orthologs, the majority of which are involved in crucial house-keeping functions. The 58 cyanobacterial genomes examined here provide a dataset several-fold larger than the 15  and 13  genomes analysed in two previous studies. By matching our core orthologs to those identified in these studies, we find that the 1054 cyanobacterial clusters of orthologous groups (CyOGs) identified by Mulkidjanian and co-workers (2006) translate into 1435 of the orthologs in the 58 genomes examined here. The latter study identified a core set of 682 single-copy genes , of which 356 are present in our relaxed core (RCF) of 393 single-copy orthologs. The differences noted obviously relate to the number of genomes examined but also to the method used to cluster orthologs and define the core. The method (OrthoMCL) used here to define the core gene set in the 58 genomes involves an all-against-all BLAST step, and additional rules to identify recent paralogs (so called in-paralogs). Mulkidjanian and co-workers (2006) used the cluster of orthologous groups method [46, 47] and defined the core in their dataset as CyOGs that were missing in no more than one genome. Of the 1435 orthologs in our dataset, which correspond to the 1054 CyOGs identified by Mulkidjanian and co-workers, 931 are likewise present in our relaxed core gene set (i.e. in either the strict core, RCF or RCF1). The 504 CyOGs missing from the relaxed cores were mostly lacking in cyanobacterium UCYN-A, the two Yellowstone species or in the Prochlorococcus clade and belonged primarily to the General prediction only (R), Energy production (C), Amino acid (E) and Inorganic ion transport and metabolism (P) functional categories. Shi and Falkowski , on the other hand, identified their 682 single-copy orthologs using reciprocal best BLAST hits and divided these into 323 core and 329 shell genes (the latter displaying divergent phylogenies). The orthologs which are not present among the 393 single-copy genes in our RCF gene set most often corresponded to genes involved in coenzyme and amino acid transport and metbolism. The reason that these orthologs are missing from the core in our dataset is due to their absence in one or more finished genome as well as to the existence of multiple gene copies in one or more of the genomes analysed here.
The phylogeny presented in Figure 1 shows two major cyanobacterial clades and a sister group consisting of the Yellowstone species and Gloeobacter violaceus, in agreement with Gupta and Mathews (2010) . Cyanobacteria with the largest genomes (Clade 1) contained the highest number of paralogs. This result suggests that gene duplication is a strong driving force for broadening the phenotypes and subsequently the adaptive behaviour of the cyanobacteria investigated, as proposed for other prokaryotes [27, 48–50]. These duplications can originate from either within the genome itself (paralogs) or can be introduced by horizontal gene transfer (HGT). Although we did not attempt to discriminate between these two mechanisms, we observed that approximately 10% of protein groups involved only a single genome (i.e. do not show significant similarity to any protein in the other genomes). This indicates that several protein families within cyanobacteria may be the result of HGT events or that these sequences have diverged to the point where any significant similarity to homologs in other genomes is lost. Additionally, gene transfers both within cyanobacteria and from other phyla have been reported previously [51–53] and may contribute substantially to the expansion of gene families . A striking example of gene family expansion is obvious in the chlorophyll d-containing unicellular Acaryochloris marina with the second largest genome among the 58 genomes examined and by far the highest number of paralogs (Figure 2). Indeed, this cyanobacterium is capable of adapting to a range of specialized environmental niches , including symbiosis with ascidians  and marine macroalgae . The other extreme is the unicellular cyanobacterium UCYN-A with the smallest genome and the lowest number of paralogs among the 58 cyanobacteria investigated. The paralogs identified in this genome appear biased towards posttranslational modifications and chaperone functions (Figure 2), events of importance in endosymbionts  and exhibiting a positive selection bias in e.g. the insect endosymbiont Buchnera . The drastically diminished genomic features in Ucyn therefore support an implied life-style dependence on other organisms [12, 22], potentially in a fully developed endosymbiotic context.
According to our parsimony reconstructions (based on genome sizes and the presence/absence of orthologs in genomes), the genome size of the most recent common ancestor (MRCA) of cyanobacteria was approximately 4.5 Mbp and contained 1678-3291 protein-coding genes. The coding nucleotide proportion would then account for 36-70% of the proposed genome size of the MRCA. Including the number of genes within orthologous groups in the reconstruction (i.e. gene copy number within protein families) did not significantly alter the size of the estimated gene set. The relatively low coding proportion may be due to the fact that estimates are based on orthologs in genomes, thereby missing the genes that could not be grouped by our gene clustering method. A parsimony reconstruction of the total number of genes in the MRCA puts the gene count at approximately 4300, which represents a more plausible size of the ancestral gene repertoire. Interestingly, the MRCA genome may have included a set of nif genes, opening up the possibility that the cyanobacterial ancestor was a diazotroph (shown also in Figure 7B).
It is apparent that the genomes of cyanobacteria, ranging almost 10-fold in size from just above 1 Mbp to close to 10 Mbp, have been subjected to a range of niche-specific environmental and competitive forces during the billion years of evolution of the phylum, and thus each genome in our dataset may uniquely reflect the characteristics it displays. Still, the cyanobacterial genome sizes show two general trends that reflect the two major clades identified (Clade 1 and 2; Figure 1). The evolutionary history of genomes within Clade 1 involves a mix of expansions and reductions while a single event of genome reduction appears to have taken place at the branching of Clade 2, dominated by the often closely related marine picocyanobacteria (Figure 4). It is also clear that both genome sizes and number of in-paralogs evolve at a faster rate (Figure 5A,B), and that there exists a strong correlation between genome sizes and gene copy number, in genomes of Clade 1 (Figure 5C). Thus, Clade 1 cyanobacteria appear to employ a survival strategy anchored in genome (and consequently gene family) expansion capacities, while the unicellular and mostly marine cyanobacteria in Clade 2 rely on genome streamlining and the maintenance of a minimal gene repertoire. The former strategy allows Clade 1 cyanobacteria to be highly flexible in terms of not only developmental capacities (e.g. specialization via cell differentiation: akinetes, heterocysts, diazocytes), but also physiological performance (e.g. nitrogen fixation, symbiosis) and a wide habitat occupancy among prokaryotes. A similar pattern has been shown previously within Clade2 cyanobacteria with significant streamlining having ocurred in Prochlorococcus isolates since their divergence from Synechococcus  (the latter considered to be better generalists than the former). In spite of the constraints imposed by the genomic streamlining in Clade 2 cyanobacteria, this strategy has been ecologically highly successful, at least in specific niches, considering the abundance of these cyanobacteria in nutrient-deficient warmer oceans with few competitors, or as recently suggested, positive interactions with other co-occurring bacteria [59, 60].
The adaptive potential of the Clade 1 strategy may also explain the successful entrapment in highly specialized niches. A clear example is the obligate symbiont 'Nostoc azollae' 0708, which has substituted a free-living life-style with one restricted within a eukaryotic host. Still, this symbiotic interaction is highly dependent on the complex developmental modes of the cyanobacterium, involving differentiation of several cell types, including those required for the vertical transmission process . Such host-restricted conditions impose population size diminishments and relaxed constraints on protein-coding genes, leading to fixation of deleterious mutations  and pseudogenization followed by gene loss and genome shrinkage . The 'Nostoc azollae' 0708 is apparently at an early stage of a host-adapted life-style, as its genome size has been only slightly reduced since divergence from its free-living ancestor (5.65 to 5.49 Mbp; Figure 4). This is also reflected in the relatively low number of orthologs (56-159), which we estimate to have been completely lost during symbiosis and the still evident high proportion of pseudogenes , which are likely targets for removal. If these pseudogenes were to be lost, the genome size of 'Nostoc azollae' 0708 would approach that of its closest relatives C. raciborskii and R. brookii (Figure 3). Whether any of the lost genes have been targeted to the plant nucleus (as in the case of chloroplasts) is unknown. Such a transfer of genetic material from the cyanobiont to the host might be mediated by the DNA-containing vesicles seen during the vertical transmission of the cyanobiont between Azolla generations .
Other cyanobacteria in Clade 1 that show signs of genome reduction include Cylindrospermopsis raciborskii and Raphidiopsis brookii , the unicellular cyanobacterium UCYN-A  and Thermosynechococcus elongatus  which occupies hot-springs . However in these cases, the genome reduction has affected distinctly different cellular processes. In Cylindrospermopsis and Raphidiopsis, free-living aquatic cyanobacteria with the smallest genomes (3-4 Mbp) among Section IV heterocystous cyanobacteria, the capacity to differentiate heterocysts has been negatively affected, while in the marine nitrogen-fixing Ucyn, genes involved in photosynthesis (PSII) are lost. The reduction in genome size in these cyanobacteria has been considerably more dramatic than in 'Nostoc azollae' 0708, since divergence from their last known ancestor (5.65 to < 4 Mbp in Cylr and Rapb; 5.15 to 1.44 Mbp in Ucyn). These genome reductions suggest a symbiotic or other highly interactive life style for these organisms. If this is the case, the former would act as photosynthetic symbionts (e.g. in a heterotrophic host) while Ucyn would act as a diazotrophic symbiont delivering nitrogen to a potentially photosynthetic host supplying carbohydrates. The genome of Trichodesmium erythraeum provides another unexpected example in this context as it displays the highest proportion of non-coding nucleotides (including also numerous pseudogenes) among all 58 genomes examined (Figure 3). This implies a severe ongoing genome erosion (in coding functions) in a globally wide-spread, free-living, and fully photosynthetic and diazotrophic cyanobacterium, sharing oligotrophic surface waters with cyanobacteria with the smallest genomes known (e.g. Prochlorococcus marinus MIT9313 and cyanobacterium UCYN-A). However, our data also clearly show that the large genome of Trichodesmium erythraeum (7.75 Mbp) is not shrinking but expanding in size (Figure 4). This result suggests that this cyanobacterium employs yet another strategy to cover large segments of our oceans. One hypothesis is that the large Trichodesmium colonies, which are associated with numerous other microorganisms , are highly flexible and 'open' to gene gain via transfers from its co-habitants.
Considering the large number of genomes used in this study, the finding of orthologs that are exclusively shared by, or missing from, genomes with specific phenotypes strongly implicates these orthologs in the underlying reason for the resulting phenotype. For instance, we identified 17 orthologs underpinning filament formation, 96 orthologs exclusive to heterocystous species, as well as 13 orthologs shared between the only two sequenced plant symbionts. Since no orthologs were identified exclusively in the unicellular cyanobacteria, the filamentous phenotype is most likely a derived trait. Our results suggest that the cyanobacterial ancestor was unicellular and that the filamentous morphology was introduced later within the lineage (Figure 7A). This finding is in line with previous reports on cyanobacteria [36, 37] and argues against the irreversible end-state of the coccus morphology in prokaryotes .
Not less than 21 of the 96 heterocyst-related orthologs are pseudogenes in 'Nostoc azollae' 0708, suggesting that they are not directly involved in heterocyst formation or that heterocysts are in some way severely impaired in NoAz. Among the heterocystous cyanobacteria, the N-terminal PATAN domain of PatA  is lacking in Cylindrospermopsis raciborskii and the whole patA gene is missing in Raphidiopsis brookii. The absence of a full-length copy of this otherwise heterocyst-specific ortholog is a likely reason for the exclusively terminal heterocysts (which in Raphidiopsis are not fully developed) in these strains.
As seven of the symbiont-specific genes are no longer functional in the obligate 'Nostoc azollae' 0708, these may in turn have key functions in the re-establishment of plant-cyanobacterial associations. The inability of 'Nostoc azollae' 0708 to survive outside the plant host has puzzled researchers. The cyanobacterial symbiont of Azolla could be kept alive for months under certain free-living conditions, but was still unable to multiply and exhibited photobleaching . Our finding of pseudogenized orthologs in NoAz involved in pigment synthesis and present in all other cyanobacterial genomes investigated, suggests that these genes are necessary for survival under free-living conditions but dispensable in the Azolla symbiosis where the chloroplast canopy of the plant shields the symbiont from excess light. Moreover, the discovery of a specific protein family related to carbohydrate metabolism in the two plant symbionts Nostoc punctiforme and 'Nostoc azollae' 0708, makes the substrates of this enzyme, N-acetyl-D-glucosamine and D-glucosamine, a likely candidate for the carbohydrate supplied by cyanobacterial plant hosts. Interestingly, D-glucosamine is a signalling factor for nodule development in Rhizobia symbioses . These orthologs constitute exciting targets for further analyses.
Finally, we are aware that bacterial traits often require a complex network of genetic interactions and gene expression dosage, seldom explained by the presence or absence of a single gene product. Furthermore, the comparative approach taken here is naturally limited by the data (sequenced genomes) at hand. Importantly, the organisms included should optimally be judiciously sampled in order to reflect the underlying phylogenetic diversity and genetic complexity. Such a representative sample might be hard to achieve given the current availability of cyanobacterial genomes, but should definitely be taken into account in further sequencing efforts. Nevertheless, we hypothesize that linking protein families to characteristics, and analysed from an evolutionary perspective, provides a valuable starting point for further research on the metabolic and morphological phenotypes of cyanobacteria.
With the dataset used, based on 58 cyanobacterial genomes, the stringent core genetic repertoire of cyanobacteria now represents 404 orthologs. A relaxed core gene set, based on 39 of these genomes sequenced to completion, contains 536 orthologs, of which 393 are found in single-copy versions. Due to the severe loss of genes in cyanobacterium UCYN-A neither of these core gene sets include genes for the photosystem II complex (although these are present among 268 additional orthologs allowed to be missing from one finished genome). Two orthologs in the stringent gene core are unique to all cyanobacteria, one which corresponds to a transcriptional regulator and the other to an unknown protein with a conserved genomic neighbourhood in all species examined. Seven additional orthologs were unique to the relaxed core gene sets of the cyanobacterial phylum (allowed to be missing from 1-3 of the finished genomes) but are currently poorly characterized.
Genome sizes and number of duplicated genes within the major clade, which comprises species of varying complexity and choice of habitat (including marine and freshwater, unicellular and filamentous and heterocystous species) evolve at a higher evolutionary rate than the clade of marine picocyanobacteria. Variation in cyanobacterial genome sizes is the result of a mix of gains of losses in the former clade and of one single reduction event in the latter. It is also deduced that the common ancestor of extant cyanobacteria had a genome size of ~4.5 Mbp and contained between 1678 and 3291 proteins, ~4-6% of which are unique to cyanobacteria today. The largest genomes of cyanobacteria contain the highest number of paralogs and there is a strong correlation between genome and gene family expansions within the more complex clade. The latter is likely to result in increased adaptive potential but may also lead to a an accumulation of non-coding genomic regions as the organisms shift their habitat and/or life-style, rendering duplicated genes redundant and subject to increased mutation rates. A clear example of this phenomenon is the obligate symbiont 'Nostoc azollae' 0708 in which 64% of in-paralogs are pseudogenes.
A number of orthologous proteins underpin traits of certain cyanobacterial groups. These include a set of signal transduction proteins and a glycosyl hydrolase specific to plant symbionts. Conversely, the lack of certain conserved orthologs or domains in a few cyanobacteria can be correlated with the phenotype they exhibit as seen in Cylindrospermopsis raciborskii with terminal heterocysts only, and the loss of functional genes involved in pigment biosynthesis in 'Nostoc azollae' 0708.
All available cyanobacterial genomes as of June 24th 2010 were downloaded from NCBIs genome database FTP server. The dataset included 58 genomes in total, 39 of which were sequenced to completion. Sequences for all protein coding open reading frames (ORFs) and predicted pseudogenes, the latter acquired from the IMG database , were included in the analysis.
Orthologous protein groups and annotations
All ORFs in the dataset were subjected to orthologous protein grouping using OrthoMCL v.2.0.1 [69, 70]. Protein sequences for each group were aligned with MUSCLE v.3.5.1 , and Hidden Markov Models (HMMs)  were built from the alignments using hmmbuild v.3.0 . Pfam and Uniprot databases (26 August 2010) were searched with the HMMs as queries using hmmsearch v.3.0  and annotations were assigned to orthologous groups for hits with full and domain-specific e-values < 0.01 and a bias/score ratio < 10. COG functional groups were assigned to orthologous groups using RPS-BLAST against the CDD database (23 August 2010) with all sequences of a group as query. For each group, the most predominant best hit among orthologous sequences (at e-value cut-off 0.01) was assigned. In case the majority of sequences within a group could not be assigned a COG hit, the second most abundant COG (if available) was assigned to the group. Proteins which were not clustered by OrthoMCL were assigned the highest scoring COG at e-value threshold < 0.01. Cyanobacteria-unique protein groups were defined as those which contained proteins with only cyanobacterial hits below an e-value threshold of 0.01 in the nr database.
A phylogenetic analysis was conducted on a set of 285 orthologous protein groups (see additional file 2) in the output from OrthoMCL (see above) present in single-copy number in all 58 genomes in the dataset. Proteins in each orthologous group were aligned using MUSCLE (with default settings) and concatenated in to one supermatrix of 128,769 amino acid positions (see additional file 8). Amino acid substitution models for each individual group was selected by the Akaike Information Criterion (AIC) obtained from ProtTest v.3.0  which uses PhyML v.3.0  for likelihood calculations. The amino acid substitution models implemented both in PhyML and RaxML (see below) were used as candidate models for the AIC ranking. The 285 groups were analysed separately and combined under maximum likelihood as implemented in RAxML v.7.2.6  and clade support was assessed using bootstrapping . For the separate analyses, the AIC-best models were used in RAxML. To avoid overparameterisation  but still allow for evolutionary heterogeneity, the concatenated alignment were analysed using a mix-model approach where each gene partition was lumped in a "substitution model"-partition according to their AIC-best chosen models. This yielded a five partition model ("LG", "JTT", "CPREV", "WAG", "RTREV") each combined with an assumption of a rate heterogeneity across sites modelled as a discrete Gamma distribution.
Shortcomings of the models used in phylogenetics can render tree inference of prokaryotic organisms problematic  (or even questionable ), and the presence of phylogenetic incongruence in our data was assessed using a SH-test [81, 82] as implemented in RAxML. The trees from the separate gene analyses were pooled together with the tree from the concatenated supermatrix (τ285), and the SH test was run for each gene data. The separate gene analyses yielded a large collection of trees, thus suggesting extensive topological incongruence (see additional file 9). We did not investigate whether lateral gene transfer could be a source of incongruence but made the assumption that we may estimate one underlying tree structure for our data sample (cf. ). Thus, we note that concatenating and analysing the set of genes (N = 71) for which τ285 could not be rejected, gave a tree (τ71) very similar to the tree resulting in analysing all 285 genes (τ285). The two trees differed only in two, poorly supported nodes (bootstrap proportions < 60%), and we chose to base our analysis on the 285-gene tree. Trees were rooted on the Gloeobacter violaceus branch, following previous results as having G. violaceus as the sister group to all extant cyanobacteria e.g., [19, 37, 83, 84].
Characters of the cyanobacterial genomes, such as sizes and presence of orthologous groups were analysed by parsimony optimization (least squared for continuous characters) over the phylogenetic tree using Mesquite (version 2.74) . Analysis of evolutionary rates of genome sizes and paralogs was performed using Felsenstein's phylogenetically independent contrasts  as implemented in the PDAP module  of Mesquite.
The authors acknowledge Dr. R. Haselkorn (Univ. Chicago) for providing improvements. This study was financially supported by the Swedish Energy Agency and the Swedish Research Council Formas.
- Kopp RE, Kirschvink JL, Hilburn IA, Nash CZ: The Paleoproterozoic snowball Earth: A climate disaster triggered by the evolution of oxygenic photosynthesis. Proc Natl Acad Sci USA. 2005, 102: 11131-11136. 10.1073/pnas.0504878102.View ArticlePubMedPubMed CentralGoogle Scholar
- Reyes-Prieto A, Bhattacharya D: Phylogeny of Calvin cycle enzymes supports Plantae monophyly. Mol Phylogenet Evol. 2007, 45: 384-391. 10.1016/j.ympev.2007.02.026.View ArticlePubMedGoogle Scholar
- Moreira D, Guyader HL, Philippe H: The origin of red algae and the evolution of chloroplasts. Nature. 2000, 405: 69-72. 10.1038/35011054.View ArticlePubMedGoogle Scholar
- Marin B, Nowack ECM, Melkonian M: A plastid in the making: evidence for a second primary endosymbiosis. Protist. 2005, 156: 425-432. 10.1016/j.protis.2005.09.001.View ArticlePubMedGoogle Scholar
- Reyes-Prieto A, Yoon HS, Moustafa A, Yang EC, Andersen RA, Boo SM, Nakayama T, Ishida K-ichiro, Bhattacharya D: Differential gene retention in plastids of common recent origin. Mol Biol Evol. 2010, 27: 1530-1537. 10.1093/molbev/msq032.View ArticlePubMedPubMed CentralGoogle Scholar
- Usher KM, Bergman B, Raven JA: Exploring cyanobacterial mutualisms. Annu Rev Ecol Evol Syst. 2007, 38: 255-273. 10.1146/annurev.ecolsys.38.091206.095641.View ArticleGoogle Scholar
- Bergman B, Ran L, Adams DG: Cyanobacterial-plant Symbioses: signalling and development. The Cyanobacteria: Molecular Biology, Genomics and Evolution. Edited by: Herrero A, Flores E. 2008, Sevilla: Caister Academic Press, 447-473.Google Scholar
- Ran L, Larsson J, Vigil-Stenman T, Nylander JAA, Ininbergs K, Zheng W-W, Lapidus A, Lowry S, Haselkorn R, Bergman B: Genome erosion in a nitrogen-fixing vertically transmitted endosymbiotic multicellular cyanobacterium. PLoS One. 2010, 5: e11486-10.1371/journal.pone.0011486.View ArticlePubMedPubMed CentralGoogle Scholar
- Swingley WD, Chen M, Cheung PC, Conrad AL, Dejesa LC, Hao J, Honchak BM, Karbach LE, Kurdoglu A, Lahiri S, Mastrian SD, Miyashita H, Page L, Ramakrishna P, Satoh S, Sattley WM, Shimada Y, Taylor HL, Tomo T, Tsuchiya T, Wang ZT, Raymond J, Mimuro M, Blankenship RE, Touchman JW: Niche adaptation and genome expansion in the chlorophyll d-producing cyanobacterium Acaryochloris marina. Proc Natl Acad Sci USA. 2008, 105: 2005-2010. 10.1073/pnas.0709772105.View ArticlePubMedPubMed CentralGoogle Scholar
- Kaneko T, Tanaka A, Sato S, Kotani H, Sazuka T, Miyajima N, Sugiura M, Tabata S: Sequence analysis of the genome of the unicellular cyanobacterium Synechocystis sp. strain PCC6803. I. Sequence features in the 1 Mb region from map positions 64% to 92% of the genome. DNA Res. 1995, 2: 153-66. 10.1093/dnares/2.4.153. 191-8View ArticlePubMedGoogle Scholar
- Welsh EA, Liberton M, Stöckel J, Loh T, Elvitigala T, Wang C, Wollam A, Fulton RS, Clifton SW, Jacobs JM, Aurora R, Ghosh BK, Sherman LA, Smith RD, Wilson RK, Pakrasi HB: The genome of Cyanothece 51142, a unicellular diazotrophic cyanobacterium important in the marine nitrogen cycle. Proc Natl Acad Sci USA. 2008, 105: 15094-15099. 10.1073/pnas.0805418105.View ArticlePubMedPubMed CentralGoogle Scholar
- Tripp HJ, Bench SR, Turk KA, Foster RA, Desany BA, Niazi F, Affourtit JP, Zehr JP: Metabolic streamlining in an open-ocean nitrogen-fixing cyanobacterium. Nature. 2010, 464: 90-94. 10.1038/nature08786.View ArticlePubMedGoogle Scholar
- Meeks JC, Elhai J, Thiel T, Potts M, Larimer F, Lamerdin J, Predki P, Atlas R: An overview of the genome of Nostoc punctiforme, a multicellular, symbiotic cyanobacterium. Photosyn Res. 2001, 70: 85-106. 10.1023/A:1013840025518.View ArticlePubMedGoogle Scholar
- Zheng W, Bergman B, Chen B, Zheng S, Guan X, Rasmussen U: Cellular responses in the cyanobacterial symbiont during its vertical transfer between plant generations in the Azolla microphylla symbiosis. New Phytol. 2009, 181: 53-61. 10.1111/j.1469-8137.2008.02644.x.View ArticlePubMedGoogle Scholar
- Tang LF, Watanabe I, Liu CC: Limited Multiplication of Symbiotic Cyanobacteria of Azolla spp. on Artificial Media. Appl Environ Microbiol. 1990, 56: 3623-3626.PubMedPubMed CentralGoogle Scholar
- Stucken K, John U, Cembella A, Murillo AA, Soto-Liebe K, Fuentes-Valdés JJ, Friedel M, Plominsky AA, Vásquez M, Glöckner G: The smallest known genomes of multicellular and toxic cyanobacteria: comparison, minimal gene sets for linked traits and the evolutionary implications. PloS ONE. 2010, 5: e9235-10.1371/journal.pone.0009235.View ArticlePubMedPubMed CentralGoogle Scholar
- Mulkidjanian AY, Koonin EV, Makarova KS, Mekhedov SL, Sorokin A, Wolf YI, Dufresne A, Partensky F, Burd H, Kaznadzey D, Haselkorn R, Galperin MY: The cyanobacterial genome core and the origin of photosynthesis. Proc Natl Acad Sci USA. 2006, 103: 13126-13131. 10.1073/pnas.0605709103.View ArticlePubMedPubMed CentralGoogle Scholar
- Shi T, Falkowski PG: Genome evolution in cyanobacteria: the stable core and the variable shell. Proc Natl Acad Sci USA. 2008, 105: 2510-2515. 10.1073/pnas.0711165105.View ArticlePubMedPubMed CentralGoogle Scholar
- Gupta RS, Mathews DW: Signature proteins for the major clades of Cyanobacteria. BMC Evol Biol. 2010, 10: 24-10.1186/1471-2148-10-24.View ArticlePubMedPubMed CentralGoogle Scholar
- Swingley WD, Blankenship RE, Raymond J: Integrating Markov clustering and molecular phylogenetics to reconstruct the cyanobacterial species tree from conserved protein families. Mol Biol Evol. 2008, 25: 643-654. 10.1093/molbev/msn034.View ArticlePubMedGoogle Scholar
- Gupta RS: Protein signatures (molecular synapomorphies) that are distinctive characteristics of the major cyanobacterial clades. Int J Syst Evol Microbiol. 2009, 59: 2510-2526. 10.1099/ijs.0.005678-0.View ArticlePubMedGoogle Scholar
- Zehr JP, Bench SR, Carter BJ, Hewson I, Niazi F, Shi T, Tripp HJ, Affourtit JP: Globally distributed uncultivated oceanic N2-fixing cyanobacteria lack oxygenic photosystem II. Science. 2008, 322: 1110-1112. 10.1126/science.1165340.View ArticlePubMedGoogle Scholar
- Ishii A, Hihara Y: An AbrB-like transcriptional regulator, Sll0822, is essential for the activation of nitrogen-regulated genes in Synechocystis sp. PCC 6803. Plant Physiol. 2008, 148: 660-670. 10.1104/pp.108.123505.View ArticlePubMedPubMed CentralGoogle Scholar
- Shalev-Malul G, Lieman-Hurwitz J, Viner-Mozzini Y, Sukenik A, Gaathon A, Lebendiker M, Kaplan A: An AbrB-like protein might be involved in the regulation of cylindrospermopsin production by Aphanizomenon ovalisporum. Environ Microbiol. 2008, 10: 988-999. 10.1111/j.1462-2920.2007.01519.x.View ArticlePubMedGoogle Scholar
- Lieman-Hurwitz J, Haimovich M, Shalev-Malul G, Ishii A, Hihara Y, Gaathon A, Lebendiker M, Kaplan A: A cyanobacterial AbrB-like protein affects the apparent photosynthetic affinity for CO2 by modulating low-CO2-induced gene expression. Environ Microbiol. 2009, 11: 927-936. 10.1111/j.1462-2920.2008.01818.x.View ArticlePubMedGoogle Scholar
- Agervald A, Baebprasert W, Zhang X, Incharoensakdi A, Lindblad P, Stensjö K: The CyAbrB transcription factor CalA regulates the iron superoxide dismutase in Nostoc sp. strain PCC 7120. Environ Microbiol. 2010, 12: 2826-2837.PubMedGoogle Scholar
- Bratlie MS, Johansen J, Sherman BT, Huang DW, Lempicki RA, Drabløs F: Gene duplications in prokaryotes can be associated with environmental adaptation. BMC Genomics. 2010, 11: 588-10.1186/1471-2164-11-588.View ArticlePubMedPubMed CentralGoogle Scholar
- Shapiro JA: Transposable elements as the key to a 21st century view of evolution. Genetica. 1999, 107: 171-179. 10.1023/A:1003977827511.View ArticlePubMedGoogle Scholar
- Capy P, Gasperi G, Biémont C, Bazin C: Stress and transposable elements: co-evolution or useful parasites?. Heredity. 2000, 85 (Pt 2): 101-106.View ArticlePubMedGoogle Scholar
- Touchon M, Rocha EPC: Causes of insertion sequences abundance in prokaryotic genomes. Mol Biol Evol. 2007, 24: 969-981. 10.1093/molbev/msm014.View ArticlePubMedGoogle Scholar
- Felsenstein J: Phylogenies and the Comparative Method. The American Naturalist. 1985, 125: 1-15. 10.1086/284325.View ArticleGoogle Scholar
- Garland T, Harvey PH, Ives AR: Procedures for the Analysis of Comparative Data Using Phylogenetically Independent Contrasts. Systematic Biology. 1992, 41: 18-32.View ArticleGoogle Scholar
- Garland T, Janis CM: Does metatarsal/femur ratio predict maximal running speed in cursorial mammals?. Journal of Zoology. 1993, 229: 133-151. 10.1111/j.1469-7998.1993.tb02626.x.View ArticleGoogle Scholar
- Pushker R, Mira A, Rodríguez-Valera F: Comparative genomics of gene-family size in closely related bacteria. Genome Biol. 2004, 5: R27-10.1186/gb-2004-5-4-r27.View ArticlePubMedPubMed CentralGoogle Scholar
- Jordan IK, Makarova KS, Spouge JL, Wolf YI, Koonin EV: Lineage-specific gene expansions in bacterial and archaeal genomes. Genome Res. 2001, 11: 555-565. 10.1101/gr.GR-1660R.View ArticlePubMedPubMed CentralGoogle Scholar
- Sanchez-Baracaldo P, Hayes PK, Blank CE: Morphological and habitat evolution in the Cyanobacteria using a compartmentalization approach. Geobiology. 2005, 3: 145-165. 10.1111/j.1472-4669.2005.00050.x.View ArticleGoogle Scholar
- Schirrmeister BE, Antonelli A, Bagheri HC: The origin of multicellularity in cyanobacteria. BMC Evol Biol. 2011, 11: 45-10.1186/1471-2148-11-45.View ArticlePubMedPubMed CentralGoogle Scholar
- Kovacs H, Comfort D, Lord M, Campbell ID, Yudkin MD: Solution structure of SpoIIAA, a phosphorylatable component of the system that regulates transcription factor sigmaF of Bacillus subtilis. Proc Natl Acad Sci USA. 1998, 95: 5067-5071. 10.1073/pnas.95.9.5067.View ArticlePubMedPubMed CentralGoogle Scholar
- Buikema WJ, Haselkorn R: Characterization of a gene controlling heterocyst differentiation in the cyanobacterium Anabaena 7120. Genes Dev. 1991, 5: 321-330. 10.1101/gad.5.2.321.View ArticlePubMedGoogle Scholar
- Liang J, Scappino L, Haselkorn R: The patA gene product, which contains a region similar to CheY of Escherichia coli, controls heterocyst pattern formation in the cyanobacterium Anabaena 7120. Proc Natl Acad Sci USA. 1992, 89: 5655-5659. 10.1073/pnas.89.12.5655.View ArticlePubMedPubMed CentralGoogle Scholar
- Young-Robbins SS, Risser DD, Moran JR, Haselkorn R, Callahan SM: Transcriptional regulation of the heterocyst patterning gene patA from Anabaena sp. strain PCC 7120. J Bacteriol. 2010, 192: 4732-4740. 10.1128/JB.00577-10.View ArticlePubMedPubMed CentralGoogle Scholar
- Makarova KS, Koonin EV, Haselkorn R, Galperin MY: Cyanobacterial response regulator PatA contains a conserved N-terminal domain (PATAN) with an alpha-helical insertion. Bioinformatics. 2006, 22: 1297-1301. 10.1093/bioinformatics/btl096.View ArticlePubMedGoogle Scholar
- Abraham SN, Jonsson AB, Normark S: Fimbriae-mediated host-pathogen cross-talk. Curr Opin Microbiol. 1998, 1: 75-81. 10.1016/S1369-5274(98)80145-8.View ArticlePubMedGoogle Scholar
- Miyashita H, Ikemoto H, Kurano N, Adachi K, Chihara M, Miyachi S: Chlorophyll d as a major pigment. Nature. 1996, 383: 402-10.1038/383402a0.View ArticleGoogle Scholar
- Hall JW: A New Genus of Salviniaceae and a New Species of Azolla from the Late Cretaceous. American Fern Journal. 1968, 58: 77-88. 10.2307/1546250.View ArticleGoogle Scholar
- Tatusov RL, Koonin EV, Lipman DJ: A genomic perspective on protein families. Science. 1997, 278: 631-637. 10.1126/science.278.5338.631.View ArticlePubMedGoogle Scholar
- Tatusov RL, Galperin MY, Natale DA, Koonin EV: The COG database: a tool for genome-scale analysis of protein functions and evolution. Nucleic Acids Res. 2000, 28: 33-36. 10.1093/nar/28.1.33.View ArticlePubMedPubMed CentralGoogle Scholar
- Alm E, Huang K, Arkin A: The evolution of two-component systems in bacteria reveals different strategies for niche adaptation. PLoS Comput Biol. 2006, 2: e143-10.1371/journal.pcbi.0020143.View ArticlePubMedPubMed CentralGoogle Scholar
- Serres MH, Kerr ARW, McCormack TJ, Riley M: Evolution by leaps: gene duplication in bacteria. Biol Direct. 2009, 4: 46-10.1186/1745-6150-4-46.View ArticlePubMedPubMed CentralGoogle Scholar
- Andersson DI, Hughes D: Gene amplification and adaptive evolution in bacteria. Annu Rev Genet. 2009, 43: 167-195. 10.1146/annurev-genet-102108-134805.View ArticlePubMedGoogle Scholar
- Zhaxybayeva O, Gogarten JP, Charlebois RL, Doolittle WF, Papke RT: Phylogenetic analyses of cyanobacterial genomes: quantification of horizontal gene transfer events. Genome Res. 2006, 16: 1099-1108. 10.1101/gr.5322306.View ArticlePubMedPubMed CentralGoogle Scholar
- Yerrapragada S, Siefert JL, Fox GE: Horizontal gene transfer in cyanobacterial signature genes. Methods Mol Biol. 2009, 532: 339-366. 10.1007/978-1-60327-853-9_20.View ArticlePubMedGoogle Scholar
- Bolhuis H, Severin I, Confurius-Guns V, Wollenzien UIA, Stal LJ: Horizontal transfer of the nitrogen fixation gene cluster in the cyanobacterium Microcoleus chthonoplastes. ISME J. 2010, 4: 121-130. 10.1038/ismej.2009.99.View ArticlePubMedGoogle Scholar
- Treangen TJ, Rocha EPC: Horizontal Transfer, Not Duplication, Drives the Expansion of Protein Families in Prokaryotes. PLoS Genet. 2011, 7: e1001284-10.1371/journal.pgen.1001284.View ArticlePubMedPubMed CentralGoogle Scholar
- Ohkubo S, Miyashita H, Murakami A, Takeyama H, Tsuchiya T, Mimuro M: Molecular detection of epiphytic Acaryochloris spp. on marine macroalgae. Appl Environ Microbiol. 2006, 72: 7912-7915. 10.1128/AEM.01148-06.View ArticlePubMedPubMed CentralGoogle Scholar
- Moran NA, Plague GR: Genomic changes following host restriction in bacteria. Curr Opin Genet Dev. 2004, 14: 627-633. 10.1016/j.gde.2004.09.003.View ArticlePubMedGoogle Scholar
- Fares MA, Barrio E, Sabater-Muñoz B, Moya A: The evolution of the heat-shock protein GroEL from Buchnera, the primary endosymbiont of aphids, is governed by positive selection. Mol Biol Evol. 2002, 19: 1162-1170.View ArticlePubMedGoogle Scholar
- Kettler GC, Martiny AC, Huang K, Zucker J, Coleman ML, Rodrigue S, Chen F, Lapidus A, Ferriera S, Johnson J, Steglich C, Church GM, Richardson P, Chisholm SW: Patterns and implications of gene gain and loss in the evolution of Prochlorococcus. PLoS Genet. 2007, 3: e231-10.1371/journal.pgen.0030231.View ArticlePubMedPubMed CentralGoogle Scholar
- Partensky F, Garczarek L: Prochlorococcus: advantages and limits of minimalism. Ann Rev Mar Sci. 2010, 2: 305-331. 10.1146/annurev-marine-120308-081034.View ArticlePubMedGoogle Scholar
- Sher D, Thompson JW, Kashtan N, Croal L, Chisholm SW: Response of Prochlorococcus ecotypes to co-culture with diverse marine bacteria. ISME J. 2011Google Scholar
- Toft C, Andersson SGE: Evolutionary microbial genomics: insights into bacterial host adaptation. Nat Rev Genet. 2010, 11: 465-475.View ArticlePubMedGoogle Scholar
- Lawrence JG, Hendrix RW, Casjens S: Where are the pseudogenes in bacterial genomes?. Trends Microbiol. 2001, 9: 535-540. 10.1016/S0966-842X(01)02198-9.View ArticlePubMedGoogle Scholar
- Nakamura Y, Kaneko T, Sato S, Ikeuchi M, Katoh H, Sasamoto S, Watanabe A, Iriguchi M, Kawashima K, Kimura T, Kishida Y, Kiyokawa C, Kohara M, Matsumoto M, Matsuno A, Nakazaki N, Shimpo S, Sugimoto M, Takeuchi C, Yamada M, Tabata S: Complete genome structure of the thermophilic cyanobacterium Thermosynechococcus elongatus BP-1. DNA Res. 2002, 9: 123-130. 10.1093/dnares/9.4.123.View ArticlePubMedGoogle Scholar
- Yamaoka T, Satoh K, Katoh S: Photosynthetic activities of a thermophilic blue-green alga. Plant and Cell Physiology. 1978, 19: 943-954.Google Scholar
- Sheridan CC, Steinberg DK, Kling GW: The microbial and metazoan community associated with colonies of Trichodesmium spp.: a quantitative survey. Journal of Plankton Research. 2002, 24: 913-922. 10.1093/plankt/24.9.913.View ArticleGoogle Scholar
- Siefert JL, Fox GE: Phylogenetic mapping of bacterial morphology. Microbiology. 1998, 144 (Pt 10): 2803-2808.View ArticlePubMedGoogle Scholar
- Lerouge P, Roche P, Faucher C, Maillet F, Truchet G, Promé JC, Dénarié J: Symbiotic host-specificity of Rhizobium meliloti is determined by a sulphated and acylated glucosamine oligosaccharide signal. Nature. 1990, 344: 781-784. 10.1038/344781a0.View ArticlePubMedGoogle Scholar
- The Integrated Microbial Genomes (IMG) system. [http://img.jgi.doe.gov/cgi-bin/pub/main.cgi]
- Li L, Stoeckert CJ, Roos DS: OrthoMCL: identification of ortholog groups for eukaryotic genomes. Genome Res. 2003, 13: 2178-2189. 10.1101/gr.1224503.View ArticlePubMedPubMed CentralGoogle Scholar
- Chen F, Mackey AJ, Stoeckert CJ, Roos DS: OrthoMCL-DB: querying a comprehensive multi-species collection of ortholog groups. Nucleic Acids Res. 2006, 34: D363-368. 10.1093/nar/gkj123.View ArticlePubMedPubMed CentralGoogle Scholar
- Edgar RC: MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004, 32: 1792-1797. 10.1093/nar/gkh340.View ArticlePubMedPubMed CentralGoogle Scholar
- Durbin R: Biological sequence analysis: probabalistic models of proteins and nucleic acids. 1998, Cambridge: Cambridge University PressView ArticleGoogle Scholar
- HMMER3: a new generation of sequence homology search software. [http://hmmer.org/]
- Darriba D, Taboada GL, Doallo R, Posada D: ProtTest 3: fast selection of best-fit models of protein evolution. Bioinformatics. 2011, 27: 1164-1165. 10.1093/bioinformatics/btr088.View ArticlePubMedGoogle Scholar
- Guindon S, Gascuel O: A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biol. 2003, 52: 696-704. 10.1080/10635150390235520.View ArticlePubMedGoogle Scholar
- Stamatakis A: RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics. 2006, 22: 2688-2690. 10.1093/bioinformatics/btl446.View ArticlePubMedGoogle Scholar
- Stamatakis A, Hoover P, Rougemont J: A rapid bootstrap algorithm for the RAxML Web servers. Syst Biol. 2008, 57: 758-771. 10.1080/10635150802429642.View ArticlePubMedGoogle Scholar
- Burnham KP, Anderson DR: Model selection and multimodel inference: a practical information-theoretic approach. 2002, New York: Springer, 2Google Scholar
- Rannala B, Yang Z: Phylogenetic inference using whole genomes. Annu Rev Genomics Hum Genet. 2008, 9: 217-231. 10.1146/annurev.genom.9.081307.164407.View ArticlePubMedGoogle Scholar
- Bapteste E, O Malley MA, Beiko RG, Ereshefsky M, Gogarten JP, Franklin-Hall L, Lapointe F-J, Dupré J, Dagan T, Boucher Y, Martin W: Prokaryotic evolution and the tree of life are two different things. Biol Direct. 2009, 4: 34-10.1186/1745-6150-4-34.View ArticlePubMedPubMed CentralGoogle Scholar
- Shimodaira H, Hasegawa M: Multiple Comparisons of Log-Likelihoods with Applications to Phylogenetic Inference. Molecular Biology and Evolution. 1999, 16: 1114-View ArticleGoogle Scholar
- Shimodaira H: An approximately unbiased test of phylogenetic tree selection. Syst Biol. 2002, 51: 492-508. 10.1080/10635150290069913.View ArticlePubMedGoogle Scholar
- Battistuzzi FU, Hedges SB: A major clade of prokaryotes with ancient adaptations to life on land. Mol Biol Evol. 2009, 26: 335-343. 10.1093/molbev/msn247.View ArticlePubMedGoogle Scholar
- Ciccarelli FD, Doerks T, von Mering C, Creevey CJ, Snel B, Bork P: Toward automatic reconstruction of a highly resolved tree of life. Science. 2006, 311: 1283-1287. 10.1126/science.1123061.View ArticlePubMedGoogle Scholar
- Maddison W, Maddison D: Mesquite: a modular system for evolutionary analysis. Version 2.74. 2010, [http://mesquiteproject.org]Google Scholar
- Midford PE, Garland T, Maddison W: PDAP Package of Mesquite. Version 1.15. 2010, [http://mesquiteproject.org/pdap_mesquite/]Google Scholar
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