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Copyright © 2008 by The National Academy of Sciences of the USA Evolution The genome of Bacillus coahuilensis reveals adaptations essential for survival in the relic of an ancient marine environment ‡Laboratorio Nacional de Genómica para la Biodiversidad (Langebio), *Departamento de Ingeniería Genética and §Departamento de Biotecnología, Cinvestav, Campus Guanajuato, AP 629 Irapuato, Guanajuato CP36500, México; †Departamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, CU, AP 70-275 Coyoacán 04510 México D.F., México; ‖Department of Statistics, Rice University, P.O. Box 1892, MS-138, Houston, TX 77251-1892; and ¶Departments of Computer Science and Biology and Biochemistry, 4800 Cullen Boulevard, University of Houston, Houston, TX 77204-5001 **To whom correspondence should be addressed. E-mail: lherrera/at/ira.cinvestav.mx Contributed by Luis Herrera-Estrella, January 31, 2008 .Author contributions: G.O., C.P., A.H.-E., and L.H.-E. designed research; L.D.A., G.H., A.C., E.R., B.J., E.M., V.L., J.L.A., F.A., and F.R. performed research; L.D.A., G.O., G.B., R.C., A.C., C.P., J.C., J.S., L.E., J.-P.V., V.S., O.M., and L.H.-E. analyzed data; and L.D.A., G.O., and L.H.-E. wrote the paper. Received December 10, 2007. Abstract The Cuatro Ciénegas Basin (CCB) in the central part of the Chihuahan desert (Coahuila, Mexico) hosts a wide diversity of microorganisms contained within springs thought to be geomorphological relics of an ancient sea. A major question remaining to be answered is whether bacteria from CCB are ancient marine bacteria that adapted to an oligotrophic system poor in NaCl, rich in sulfates, and with extremely low phosphorus levels (<0.3 μM). Here, we report the complete genome sequence of Bacillus coahuilensis, a sporulating bacterium isolated from the water column of a desiccation lagoon in CCB. At 3.35 Megabases this is the smallest genome sequenced to date of a Bacillus species and provides insights into the origin, evolution, and adaptation of B. coahuilensis to the CCB environment. We propose that the size and complexity of the B. coahuilensis genome reflects the adaptation of an ancient marine bacterium to a novel environment, providing support to a “marine isolation origin hypothesis” that is consistent with the geology of CCB. This genomic adaptation includes the acquisition through horizontal gene transfer of genes involved in phosphorous utilization efficiency and adaptation to high-light environments. The B. coahuilensis genome sequence also revealed important ecological features of the bacterial community in CCB and offers opportunities for a unique glimpse of a microbe-dominated world last seen in the Precambrian. Keywords: evolution, genomic adaptation, horizontal gene transfer, phosphorus stress, sulfolipids The Cuatro Ciénegas Basin (CCB) is located in a valley ≈740 m above sea level in the state of Coahuila, Mexico, that measures ≈30 km by 40 km and is surrounded by high mountains (>3,000 m) (Fig. 1
Results General Genome Features. Sequencing of the B. coahuilensis genome was accomplished by using a hybrid strategy of high-coverage pyrosequencing (29×) and a low-coverage Sanger sequencing (6×) (supporting information (SI) Table S1). The assembled genome size is 3.35 Megabases (Mb), making it the smallest genome reported to date for Bacillus spp. (Fig. 1 By using a phylogenomic approach (6), we reconstructed a phylogeny through a concatenated alignment of 20 universally distributed genes from the Clusters of Orthologous Groups (COGs) that are considered largely unsusceptible to horizontal gene transfer (6), and that are present in the 14 Bacillus spp. genomes (Table S3). This analysis revealed that B. coahuilensis is basal to the other 14 Bacillus spp. genomes and more related to the marine strain NRRL B-14911 than any other Bacillus spp. Additionally, the short phylogenetic branch length suggests that the B. coahuilensis genome is associated with a low substitution rate compared with the other genomes, despite its small size (Fig. 1 Lipid Profile Adaptation to a Low-Phosphorous Environment. Membrane phospholipids constitute ≈30% of the total phosphate in most organisms. In plants and cyanobacteria subjected to phosphorous deprivation, phospholipids can be replaced by non-P lipids (such as sulfo- and galactolipids) to maintain membrane functionality and integrity, and release P to sustain other P-requiring cellular processes (8). Interestingly, genes encoding sulfoquinovose synthase (sqd1) and glycosyltransferase (sqdX), the two key enzymes in the synthesis of sulfolipids, are present in B. coahuilensis. Because the sulfoquinovose synthesis operon is absent in all other known Bacillus spp. genomes, this finding suggests that the adaptation of B. coahuilensis to the extremely low P concentration of CCB includes the acquisition of these genes through horizontal gene transfer (HGT). The B. coahuilensis genes are closely related to cyanobacterial sqd1 and sqdX (Fig. 2
Light Sensing in a High-Radiation Environment. The presence of genes encoding Bacteriorhodopsin (BR) in B. coahuilensis is reminiscent of the abundance of BR genes in marine environmental samples (7), suggesting an additional adaptation of marine bacteria. The phylogeny of B. coahuilensis sensory BR (BSR) showed that its closest orthologue is the Anabaena sp. PCC7120 rhodopsin (ASR) (Fig. 3
Nucleotide composition analysis (16) identified numerous genomic islands containing genes likely to be acquired by HGT; several have been annotated as HGT genes in B. subtilis and B. halodurans (Fig. S5). Interestingly, our nucleotide composition analysis did not identify bsr and sqd1 as HGT genes. We also determined the Codon adaptation index (CAI) (Fig. S6) for bsr and sqd1 which is of 0.719 and 0.735, respectively, indicating that these genes have been present in B. coahuilensis long enough to undergo amelioration to the average CAI (0.714). Nitrogen Cycle Strategies and Feeding Capabilities. To gain insight into the nutritional requirements and metabolic capabilities of B. coahuilensis within the CCB microbial community, we analyzed genes involved in ABC transport systems, one of the largest paralogous families present in the genome of this bacterium. Hidden Markov model (HMM) profiles were built for each ABC importer family (17) and searched against 11 Bacillus spp. genomes. The analysis retrieved a total of 1,038 import systems. The two most abundant families among all Bacillus spp. were metal (MET) and osmoprotectant (OTCN) importers (Fig. S6), which seems to be a characteristic for the group. B. coahuilensis returned 63 import systems, thus being one of the genomes with a less absolute number of import systems (Table S4), below the expected values for the group. Nonetheless, the best represented families in B. coahuilensis are also MET and OTCN. B. coahuilensis possesses a very high proportion of iron-siderophore (ISVH) importers relative to genome size, a feature shared with the water-column marine bacilli Oceanobacillus iheyensis, and Bacillus sp. NRRL B-14911. In addition, an operon coding for the ferric-enterobactin synthesis and transport system fepBCD is shared with O. iheyensis. It also encodes an Iron(III)-dicitrate and ferric enterobactin transporters, suggesting that marine bacilli and B. coahuilensis are actively scavenging for iron. The proportion of polar amino acid and opine (PAO), as well as d-l-Methionine (DLM) importers relative to the total number of transporters and genome size is greater in B. coahuilensis than in any other Bacillus. It also has one of the lowest ratios of oligopeptide (OPN) importers, suggesting a specialization for the preferential acquisition of single amino acids over oligopeptides. Experimental results show that B. coahuilensis has an absolute requirement for 8 aa (four polar and three hydrophobic) and a partial requirement for another 5 aa (three hydrophobic and two polar), confirming that this bacterium depends on amino acid import (Table S4 and Fig. S6). This overrepresentation of single-amino acid importers is shared with the recently sequenced water-living beta-proteobacteria Minibacterium massiliensis (18), suggesting that this feature might be common in the reduced genomes of aquatic free-living bacteria. HMM profiles were built for 86 genes involved in the N2 cycle (data not shown) and were searched against all sequenced Bacillus spp. genomes. This revealed that B. coahuilensis has the lowest number of N2 cycle enzymes of all sequenced Bacillus spp., lacking an inorganic N pathway and most of the urea cycle and urea degradation pathways (Fig. 4
In summary, B. coahuilensis exhibits numerous auxotrophies and high dependence on the N2 cycle, which is mainly carried out in the CCB ponds by cyanobacteria, and is therefore also likely to be highly dependent on the microbial community within this environment. This is in contrast with the genome from the marine strain NRRL B-14911, which exhibits partial requirement for only 2 aa and appears well suited to perform most of its N2 cycle on its own (Fig. 4 Genome Size Evolution and Essential Genes. The basal position of B. coahuilensis (Fig. 1 Discussion P limitation seems to be an important driving force for the adaptations observed in the B. coahuilensis genome. This bacterium has the capability of synthesizing membrane sulfolipids, apparently acquired by HGT from a cyanobacteria. Sulfolipid SQDG is present in all higher plants, mosses, ferns, and algae, but it has also been reported in nonphotosynthetic organisms, predominantly in cyanobacteria (Fig. 3 The predicted rhodopsin sequence of B. coahuilensis is phylogenically closer to sequences from cyanobacteria than to those reported in other bacteria and archeobacteria. Because retinal, which is derived from carotenoids, is probably readily available in many of the pigmented CCB bacteria, the acquisition of rhodopsin genes from cyanobacteria could easily lead to a new functional adaptation. B. coahuilensis genome encodes a couple of photolyases that repair UV-induced DNA lesions and could explain, along with the bsr gene, the adaptation of B. coahuilensis to the high-light fluency in the shallow and clear waters of the CCB ponds. The incidence of both rhodopsin and sulfolipid biosynthesis genes in environmental samples is spatially restricted. We searched the CAMERA database (23) for homologue genes to the B. coahuilensis' bsr and sqd1 and found only four sample points within the Global Ocean Sampling (GOS) having both genes represented: GS027, GS031, GS031, and GS034, which are located in shallow waters of the Galapagos Islands. Two important common features between CCB ponds and the Galapagos Islands are a high-radiation environment in shallow waters and the lack of P. The fact that sqd1 and bsr coexist in two distinct geographically distant locations with common environmental characteristics is suggestive of common adaptation strategies. P starvation seems to be a general constraint in marine environments, as shown in ref. 7. Analysis of paralogous gene families revealed a dramatic limitation in genes for secondary metabolism in B. coahuilensis possibly as a result of both genome-size reduction and adaptation to a unique niche (24, 25). The large number of auxotrophies, the limitation in N2 cycle genes (Fig. 4 Our findings show that HGT played a key role in the adaptations of B. coahuilensis. We are currently exploring whether transposons (of which there are >20 in B. coahuilensis), phages [known to be abundant in ponds of the CCB (26)], and natural competence could provide the mechanisms driving changes in the B. coahuilensis genome as well as in the other bacteria in the community. We have isolated numerous cyanobacteria in the Churince pond (27). The strategy of sequencing a single bacterial isolate to obtain information on the adaptations of bacteria living in a highly oligotrophic environment was highly fruitful because it led to a clear identification of the phylogenetic affiliation of some ecological functions. A metagenome approach might have obscured the phylogenetic association of genes of cyanobacterial origin to firmicutes and would not have allowed us to observe the important nitrogen cycle and amino acid synthesis limitations that make this bacterium dependent on the microbial community. The small genome size, constraints in secondary metabolism, and overrepresentation of signal transduction genes are also features that could not have been deduced from a metagenomic approach. Efforts to study the metagenomics of the CCB ponds should be made to help us understand how these ancient water ecosystems in the middle of the desert are self-sufficient in their biogeochemical cycles. Our results provide evidence that, because of the specific genome dynamics, its ancestry, and the local adaptive response, B. coahuilensis is most likely the result of adaptation of an ancient marine bacterium to a novel environment. Results that are in agreement with the geology/ontology model that predicts a marine environment for this region in the early Jurassic followed by the rising of the continent, the formation of the CCB valley, and its isolation by the surrounding Sierras in the Cretaceous period ≈70 million years ago (2). B. coahuilensis is likely a primitive bacterial component of a complex community that included Archaea and Cyanobacteria that provided genomic fodder for gene transfer and the implementation of innovative and necessary strategies for survival in an evolving ecology. Materials and Methods Strains. Genome Sequencing and Annotation. B. coahuilensis was sequenced by a hybrid Sanger/454 approach. The entire genome sequence was obtained from a combination of 16,698 end sequences (providing 6-fold coverage) from a pUC18 genomic shotgun library (2–5 kb), by using dye terminator chemistry on automated DNA sequencers (ABI3700; Applied Biosystems) and 454 technology with seven runs at a 29-fold coverage. Predicted protein-encoding genes were manually refined (see SI Text) and automatically annotated by using the BASys system (5). Prediction of Horizontal Transfer. RT-PCR. Semiquantitative RT-PCRs were carried out by using SuperScript One Step RT-PCR with Platinum Taq (Invitrogen Life Technologies) (see SI Text) from RNA isolated from strains grown in modified marine medium supplemented with phosphate. For light/dark experiments, strain was grown on Petri dishes with marine medium grown at 37°C either under white or blue light or in the dark. Lipid Extraction and Analysis. Lipids from Arabidopsis, Cyanobacteria spp., and B. coahuilensis were extracted (details are available on request) and analyzed by using the TLC technique as described in ref. 28. For lipid footprint analysis, individual lipids were isolated from TLC plates, and duplicates of each lipid spot were analyzed by MALDI-TOF MS technology (see SI Text). Supporting Information
Acknowledgments. We thank Laura Espinosa Azuar and Antonio Cruz in technical assistance at Instituto de Ecología, Universidad Nacional Autónoma de México; Dr. Michael Travisano (University of Minnesota) and June Simpson (Cinvestav Campus Guanajuato) for their comments on the manuscript. This work was supported in part by Secretaría de Agricultura, Ganadería, Desarrollo Rural, Pesca y Alimentación (SAGARPA) Zea-2006 and Consejo Nacional de Ciencia y Tecnología (CONACyT)-Secretaria de Educatión Pública 43979 grants and Howard Hughes Medical Institute Grant 55005946 (to L.H.-E.); CONACyT IN Grants 223105 and 44673Q (to V.S. and L.E.); CONACyT-Secretaria de Medio Ambiente y Recursos Naturales Grant 2002-C01-0237 (to V.S.); Exobiology Grant NG04GJ12G (to J.S.); and graduate scholarships from CONACyT (to L.D.A., R.C., and J.C.). Footnotes The authors declare no conflict of interest. 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Proc Natl Acad Sci U S A. 2006 Apr 25; 103(17):6565-70.
[Proc Natl Acad Sci U S A. 2006]Int J Syst Evol Microbiol. 2008 Apr; 58(Pt 4):919-23.
[Int J Syst Evol Microbiol. 2008]Proc Natl Acad Sci U S A. 2006 Apr 25; 103(17):6565-70.
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[Brief Bioinform. 2004]Annu Rev Plant Physiol Plant Mol Biol. 1998 Jun; 49():53-75.
[Annu Rev Plant Physiol Plant Mol Biol. 1998]Nucleic Acids Res. 2003 Jul 1; 31(13):3381-5.
[Nucleic Acids Res. 2003]PLoS Biol. 2007 Mar; 5(3):e77.
[PLoS Biol. 2007]Mol Microbiol. 2003 Mar; 47(6):1513-22.
[Mol Microbiol. 2003]Science. 2004 Nov 19; 306(5700):1390-3.
[Science. 2004]Science. 2001 Aug 24; 293(5534):1499-503.
[Science. 2001]Proc Natl Acad Sci U S A. 2005 Dec 13; 102(50):18147-52.
[Proc Natl Acad Sci U S A. 2005]Brief Bioinform. 2004 Jun; 5(2):150-63.
[Brief Bioinform. 2004]Nucleic Acids Res. 2003 Jul 1; 31(13):3381-5.
[Nucleic Acids Res. 2003]Mol Microbiol. 2003 Mar; 47(6):1513-22.
[Mol Microbiol. 2003]Mol Biol Evol. 2006 Oct; 23(10):1863-8.
[Mol Biol Evol. 2006]Curr Protein Pept Sci. 2002 Oct; 3(5):541-59.
[Curr Protein Pept Sci. 2002]PLoS Genet. 2007 Aug; 3(8):e138.
[PLoS Genet. 2007]J Gen Microbiol. 1988 Apr; 134(4):1043-53.
[J Gen Microbiol. 1988]Proc Natl Acad Sci U S A. 2003 Apr 15; 100(8):4678-83.
[Proc Natl Acad Sci U S A. 2003]Genome Biol. 2004; 5(4):R27.
[Genome Biol. 2004]Genome Inform. 2003; 14():3-13.
[Genome Inform. 2003]PLoS Biol. 2007 Mar; 5(3):e75.
[PLoS Biol. 2007]PLoS Biol. 2007 Mar; 5(3):e77.
[PLoS Biol. 2007]Mol Biol Evol. 2005 Nov; 22(11):2135-8.
[Mol Biol Evol. 2005]Trends Microbiol. 2006 May; 14(5):200-6.
[Trends Microbiol. 2006]Proc Natl Acad Sci U S A. 2006 Apr 25; 103(17):6565-70.
[Proc Natl Acad Sci U S A. 2006]Nature. 2008 Mar 20; 452(7185):340-3.
[Nature. 2008]Proc Natl Acad Sci U S A. 2006 Apr 25; 103(17):6565-70.
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[Int J Syst Evol Microbiol. 2008]Nucleic Acids Res. 2005 Jul 1; 33(Web Server issue):W455-9.
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