Earth-Science Reviews 96 (2009) 163–172 Contents lists available at ScienceDirect Earth-Science Reviews j o u r n a l h o m e p a g e : w w w. e l s ev i e r. c o m / l o c a t e / e a r s c i r ev Flat laminated microbial mat communities Jonathan Franks, John F. Stolz ⁎ Department of Biological Sciences, Duquesne University, Pittsburgh, PA 15282, United States a r t i c l e i n f o Article history: Received 28 January 2008 Accepted 24 October 2008 Available online 6 November 2008 Keywords: microbial mat oxygenic phototroph anoxygenic phototroph microbiolite a b s t r a c t Flat laminated microbial mats are complex microbial ecosystems that inhabit a wide range of environments (e.g., caves, iron springs, thermal springs and pools, salt marshes, hypersaline ponds and lagoons, methane and petroleum seeps, sea mounts, deep sea vents, arctic dry valleys). Their community structure is defined by physical (e.g., light quantity and quality, temperature, density and pressure) and chemical (e.g., oxygen, oxidation/reduction potential, salinity, pH, available electron acceptors and donors, chemical species) parameters as well as species interactions. The main primary producers may be photoautotrophs (e.g., cyanobacteria, purple phototrophs, green phototrophs) or chemolithoautophs (e.g., colorless sulfur oxidizing bacteria). Anaerobic phototrophy may predominate in organic rich environments that support high rates of respiration. These communities are dynamic systems exhibiting both spatial and temporal heterogeneity. They are characterized by steep gradients with microenvironments on the submillimeter scale. Diel oscillations in the physical-chemical profile (e.g., oxygen, hydrogen sulfide, pH) and species distribution are typical for phototroph-dominated communities. Flat laminated microbial mats are often sites of robust biogeochemical cycling. In addition to well-established modes of metabolism for phototrophy (oxygenic and non-oxygenic), respiration (both aerobic and anaerobic), and fermentation, novel energetic pathways have been discovered (e.g., nitrate reduction couple to the oxidation of ammonia, sulfur, or arsenite). The application of culture-independent techniques (e.g., 16S rRNA clonal libraries, metagenomics), continue to expand our understanding of species composition and metabolic functions of these complex ecosystems. © 2008 Elsevier B.V. All rights reserved. Contents 1. 2. Introduction . . . . . . . . . . . . . . . . . . . Physical–chemical environment . . . . . . . . . . 2.1. Light quantity and quality . . . . . . . . . 2.2. Temperature . . . . . . . . . . . . . . . 2.3. Oxygen . . . . . . . . . . . . . . . . . . 2.4. pH . . . . . . . . . . . . . . . . . . . . 2.5. Salinity . . . . . . . . . . . . . . . . . . 2.6. Electron acceptors and donors, and chemical 3. Community structure. . . . . . . . . . . . . . . 4. Advances in techniques . . . . . . . . . . . . . . 5. Summary . . . . . . . . . . . . . . . . . . . . Acknowledgements . . . . . . . . . . . . . . . . . . References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . species . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163 164 165 166 166 166 166 167 167 168 169 169 169 1. Introduction ⁎ Corresponding author. Tel.: +1 412 396 6333; fax: +1 412 396 5907. E-mail address: stolz@duq.edu (J.F. Stolz). 0012-8252/$ – see front matter © 2008 Elsevier B.V. All rights reserved. doi:10.1016/j.earscirev.2008.10.004 Microbial mats are communities of microorganisms that colonize surfaces. They range in complexity from simple, almost mono-species biofilms, to multi-layered ecosystems containing diverse populations of prokaryotes and small eukaryotes (e.g., diatoms, unicellular algae) 164 J. Franks, J.F. Stolz / Earth-Science Reviews 96 (2009) 163–172 arranged into assemblages and guilds (Stolz, 2000). Typically associated with the sediment/water interface these communities interact with the sediment, trapping and binding particles and clastics, and in some cases inducing precipitation and lithification (Stolz, 2003, Dupraz and Visscher, 2005). These activities in concert with the predominant mineralogy (e.g., clay, silt, siliciclastic, evaporite, carbonate) can impact the structure and fabric yielding sediments with distinctive characteristics (e.g., microbiolites). The structures can be preserved in the rock record and their interpretation can be enhanced by the study of modern microbiolites (Grotzinger and Knoll, 1999; Des Marais, 2003; Tice and Lowe, 2004; Noffke, 2007). Stromatolites and thrombolites are organosedimentary structures that commonly have a vertical profile that protrudes above the horizontal plane (Monte, 1976; Reid et al., 1995, 2000). Flat laminated microbial mats rarely form relief above the horizon (e.g., desiccation cracks, Fig. 1), but the layered sediments they produce may extend to some depth below the surface (e.g., a few centimeters to meters) (Figs. 1 and 2). They thrive in a wide range of habitats including extremes in pH (e.g., acidic sulfur caves and iron springs), temperature (e.g., thermal springs and pools, deep sea vents), and salinity (e.g., salt marshes, hypersaline ponds and lagoons), as well as ones with chemolithotrophic sources of energy (e.g., methane seeps, sea mounts). Their ecological success is a reflection of the metabolic versatility and physiological adaptability found within the Bacteria and Archaea. Flat laminated microbial mats are models for microbial ecology and have been studied extensively under the auspices of evolution and astrobiology as they represent the modern analogs to ancient life and possibly extraterrestrial ecosystems (Des Marais, 2003). Over the past twenty odd years several volumes have been published dedicated to microbial mats (e.g., Cohen et al., 1984; Cohen and Rosenberg, 1989 Stal and Caumette, 1994, Riding and Awramik, 2000, Krumbein et al., 2003, Inskeep and McDermott, 2005a). The purpose of this review is to present a synopsis of the current concepts, highlight some of the recent discoveries, and provide a glimpse at what lies ahead with application of new technologies. 2. Physical–chemical environment Fig. 1. Sippewissett Marsh, Massachusetts. A) Field photo facing westward, B) Close up showing flat laminated mat on surface. Species occurrence and abundance in microbial mats are strongly influenced by the physical properties and the chemical parameters of a given environment. Important physical properties include light (both quantity and quality), temperature, and pressure. Key chemical Fig. 2. Flat laminated mat at Laguna Figueroa, Baja California, Mexico. A) Field photo facing eastward, B) Cross section of laminated sediments. The top 3 mm is the seasonal sediment accreting community. J. Franks, J.F. Stolz / Earth-Science Reviews 96 (2009) 163–172 parameters include oxygen, pH, oxidation/reduction potential, salinity, and available electron acceptors and donors, as well as the presence or absence of specific chemical species. In this section, specific properties and parameters that create unique environments that support microbial mat communities are presented. 2.1. Light quantity and quality Photoautotrophic communities depend on both the appropriate amount of light (e.g., light quantity) and the particular wavelengths (e.g., light quality) that can be used by the light harvesting pigments and photosystems. The average amount of light that illuminates a surface on a sunny day is 1000 to 2000 μE/m2/s. Depending on the environment, however, light absorption and scattering can be significant. Particles and populations of organisms readily attenuate light in the water column. Sediment type can impact the depth at which light can penetrate into the subsurface. This light scattering can be significant resulting in the scalar irradiance being greater than the downward irradiance (Des Marais, 2003). Most phototrophs are adapted to low light intensities and often are photoinhibited. The optimum light intensity for cyanobacteria in the microbial mats of Mellum Island in the North Sea is 50 to 150 μE/m2/s. Purple sulfur bacteria from the same mats use from 5 to 10 μE/m2/s (Stal et al., 1985). Mat communities have a variety of strategies to obtain the appropriate amount of light. Cyanobacteria produce carotenoids and other light attenuating products (e.g., scytonemin), or may lie beneath a coating of sediment (Palmisano et al., 1989). Conversely, some phototrophs are extremely adept at capturing rare photons in light-limited environments. Bacteriochlorophyll e containing green sulfur bacteria have been found at 100 m depth in the Black Sea (Manske et al., 2005). Green sulfur bacteria are particularly well suited for low light as they can produce large numbers of light harvesting structures (e.g., chlorosomes) and have a high ratio of accessory pigment to reaction center (Jochum et al., 2008). The Black Sea chlorobia, for example, are capable of photoautotrophy with only 0.015 μmol quanta m− 2 s− 1 (Manske et al., 2005). Geographic location can be important with respect to the growing season of mats. While equatorial mats see little annual change, northern and southern latitudes are subject to seasonality, while artic and Antarctic systems are subject to month long extremes of constant light or darkness. Phototrophic organisms have evolved light harvesting structures and photosystems that utilize different wavelengths of light. Cyanobacteria have thylakoids with chlorophyll a (680 nm) and phycobilins (e.g., phycoerythrin, phycocyanin), green phototrophs have chlorosomes with bacteriochlorophyll c (740 nm), d (725 nm), or e (714 nm), and purple phototrophs have intracytoplasmic membranes with either bacteriochlorophyll a (800–890 nm) or bacteriochlorophyll b (1015 nm) (Stolz, 2007). These different photosystems allow a variety of phototrophic microorganisms to coexist, often forming distinct guilds and assemblages. Water is a natural attenuator of light, absorbing most of the infrared wavelengths within the first meter. Paradoxically, it is the longer wavelengths that penetrate further into shallow water sediments (Jørgensen and Des Marais, 1986; Jørgensen et al., 1987; Pierson et al., 1987; Polerecky et al., 2007). Thus anoxygenic green and purple phototrophs can predominate certain layers (Fig. 3) and make a significant contribution to the biomass and primary productivity of the mat (D'Amelio et al., 1987; Stolz, 1990; Nuebel et al., 2001; Polerecky et al., 2007). Flat laminated mats found in very shallow pools, lagoons, and salt marshes often have a distinct layer of anoxygenic purple Fig. 3. Community structure in the flat laminated microbial mat from Laguna Figueroa, Baja California, Mexico. A) Surface 0–1 mm showing bundles of filaments of Microcoleus chthonoplastes. B) Subsurface 1–2 mm showing filaments of M. chthonoplastes and Chloroflexus-like filamentous green bacterium. C) Subsurface 2–3 mm with Chloroflexuslike filamentous green bacterium. Samples were glutaraldehyde fixed (2.5% in seawater buffer) and observed by Confocal Scanning Laser Microscopy (Leica TCS SP2), with excitation at 488 nm and emissions at 644–722 nm and 507–536 nm. (C) Chloroflexus-like filamentous green bacterium, (M) M. chthonoplastes, (N) nematode. All figures have the same magnification, bar 20 μm. 165 166 J. Franks, J.F. Stolz / Earth-Science Reviews 96 (2009) 163–172 phototrophs with bacteriochlorophyll b below layers of cyanobacteria, and purple and green phototrophs (Nicholson et al., 1987; Pierson et al., 1987; Stolz, 1990). 2.2. Temperature Microbial mats have been found in the frozen Antarctic (Priscu et al., 1998; Taton et al., 2003; Jungblut et al., 2005), as well as by hot springs (Ward et al., 1998; Roeselers et al., 2007) and thermal vents (Alain et al., 2004; Nakagawa et al., 2005). Psychrophiles, organisms adapted to extreme cold, are often oligotrophic, living on trace nutrients, and having long generation times. Hot springs provide a temperature range from boiling at the source (100 °C at sea level, slightly lower, ~92 °C, at higher elevations) to ~40 °C down stream with different microbial populations existing along the gradient. The temperature of water flowing from a deep sea thermal vent may exceed 400 °C as it is under extreme pressure (Zierenberg et al., 2000). Nevertheless, physiologically diverse Archaea and Bacteria exist at elevated temperatures and extensive microbial mats can develop, supported by chemolithoautotrophy. The organisms associated with thermal springs and vents are distributed based on their temperature optimum, and ecotypes of the same species may exist at different temperatures (Ward et al., 2006; Bhaya et al., 2007). While photosynthesis seems to be limited to temperatures below 75 °C (Madigan, 2003), sulfur, iron, and nitrogen metabolism can occur at higher temperatures (Stetter, 1999, Ferrera and Reysenbach, 2007). The current record for nitrogen fixation is 92 °C, by a thermal vent methanogen (Mehta and Baross, 2006). The community composition in thermal environments are also impacted by pH, and chemical species such as iron, sulfur, chloride, and arsenic (Pierson et al., 1999, Skirnisdottir et al., 2000; Inskeep and McDermott, 2005b; Inskeep et al., 2007). 2.3. Oxygen Flat laminated microbial mats are often the sites of steep oxygen gradients that can transition from supersaturation (N500 μM), just below the sediment/water interface, to total anoxia within less than a millimeter (Dupraz and Visscher, 2005). Diffusion of oxygen from the overlying water column, in situ oxygenic photosynthesis, aerobic respiration and sulfide production (by sulfate reducing bacteria) principally determine the depth profile of the oxic/anoxic transition zone (OATZ) (Canfield and Des Marais, 1993). The profile usually follows a diurnal pattern in which the greatest net oxygen production occurs in the middle of the day (Visscher et al., 1998) (Fig. 4). There are cases, however, in which the peak is in late morning as the intensity of the noon-day sun can inhibit photosynthesis (Miller et al., 1998, Jonkers et al., 2003). Typically, the oxygen concentration in the surface of the mat is at equilibrium with the overlying water column but increases with depth in the first few millimeters, then rapidly decreases. At night, a combination of respiration and sulfidogenesis combine to move the OATZ closer to the surface. This diel shift is often accompanied by the movement of motile microbial species (e.g., Beggiatoa sp.) in response to the change (Hinck et al., 2007). The activity of the oxygenic phototrophs (e.g., cyanobacteria) can also affect the oxidation reduction potential (Eh) of the sediment, resulting in Eh values as high as 400 mV in the oxic zone (Visscher and Stolz, 2005). 2.4. pH The pH of the environment can have an impact on microbial community composition as it affects an organism's cell wall integrity, and the ability to produce energy as well as obtain certain nutrients. Oxidative phosphorylation is dependent on proton motive force, and both acidophiles and alkaliphiles have adaptations to deal with the extremes in external hydrogen ion concentration and internal pH (Krulwich et al., 1996). Nutrient transport may be charge dependent and thus subject to the pH of the environment. Nevertheless, microbial mats have been found to thrive in the extreme low pH of acid mine drainage (Bond et al., 2000a,b; Baker and Banfield, 2003) and acid sulfur springs (Meisinger et al., 2007), as well as the elevated pH of silicious hot springs (Nakagawa and Manabu, 2002; van der Meer et al., 2000, 2005) and high pH (9–10) of alkaline lakes. To date, the most extreme appears to be the microbial mats of Iron Mountain, with a pH of below 1 (Baker and Banfield, 2003). As might be expected, the microbial diversity, based on 16S rRNA gene sequences, is quite limited to mostly species of Leptospirillum and Ferromicrobium (Bond et al., 2000b), with some Acidomicrobium and unidentified proteobacteria and Thermoplasmales as well (Bond et al., 2000a). Even in environments where the pH of the overlying water is near neutral, the metabolic activity of the different guilds can result in a pH gradient (Fig. 4). Oxygenic photosynthesis can raise the pH in excess of 9, while fermentation and anaerobic respiration can lower the pH to below 6.8 (Revsbech et al., 1983). 2.5. Salinity Fig. 4. Idealized profiles for oxygen, sulfide, and pH during the day (light) and night (dark) (modified from Dupraz and Visscher, 2005). The presence of dissolved soluble salts affects both the density and the chemical activity of water. The effect of salinity upon osmotic potential is particularly important from a biological perspective. Organisms living in marine and hypersaline environments are hypotonic with a cytoplasm less saline than the surrounding water. To counteract the tendency for water to leave the cell osmolites such as glycerol and glycine-betaine act as compatible solutes, creating an apparent osmotic potential equal to the external environment. Freshwater organisms are faced with the opposite problem. They are hypertonic and their cytoplasm is less dilute than their surroundings, thus water has a tendency to enter the cell. However, the difference is not as great as that facing marine organisms and water is regulated by active diffusion out of the cell. Most eukaryotic organisms can't handle either high salt or exposure to extreme oscillations in salinity. Thus flat laminated microbial mats often flourish in intertidal flats and hypersaline lagoons (Nicholson et al., 1987; Stolz, 1990; Des Marais, 2003; Bachar et al., 2007). The tidal J. Franks, J.F. Stolz / Earth-Science Reviews 96 (2009) 163–172 changes in salinity that particularly occur in the intertidal zone affect the microbial diversity, photosynthesis and respiration (Raeid et al., 2007). 2.6. Electron acceptors and donors, and chemical species Microbial mats can be considered natural bioreactors as they are often the site of intense biogeochemical cycling (Visscher and Stolz, 2005). They can provide nitrogen and carbon, and produce significant amounts of H2 and CO, as well as methane (Pearl et al., 2000; Hoehler et al., 2001). Energy generation and acquisition of essential elements drive the transformation of chemical species. Thus the chemical profile primarily reflects the metabolic activity of the guilds and assemblages, but is also influenced by abiotic factors. Energy and carbon are provided by the autotrophic members of the community. These include oxygenic photolithoautotophs (e.g., diatoms, cyanobacteria), anoxygenic photolithoautotrophs (e.g., purple sulfur bacteria, green sulfur bacteria), anoxygenic photoorganotrophs (e.g., purple bacteria, green filamentous bacteria), and chemolithoautotrophs (e.g., iron oxidizing bacteria, sulfur oxidizing bacteria, nitrifying bacteria, methylotrophs). The carbon in turn may be oxidized back to CO 2 through respiration (both aerobic and anaerobic) and fermentation. Respiration requires the availability of electron acceptors, that in coupled reactions, oxidize the organics (e.g., electron donors). The canonical progression of electron acceptors, as predicted by thermodynamic considerations, is O2 → +4 NO− → Fe+3 → SO−2 → CO2. Thus one would expect the 3 → Mn 4 dominant process to proceed, from surface to depth, aerobic respiration, nitrate reduction (e.g., denitrification), manganese reduction, iron reduction, sulfate reduction, then methanogenesis. However, studies on flat laminated mats (Canfield and Des Marais, 1991) and stromatolites (Visscher et al., 1998), have shown active sulfate reduction at or near the surface in the zone of oxygenic photosynthesis. In microbial ecosystems where light is not available (e.g., caves, deep sea), chemolithoautotrophy provides the bulk of the energy and carbon. Deep sea thermal vents and sulfur caves have communities dominated by sulfur oxidizing epsilonproteobacteria (Engel et al., 2003, 2004; Alain et al., 2004; Nakagawa et al., 2005, 2006). Cold methane seeps support communities of methylotrophs and sulfur oxidizers (Michaelis et al., 2002; Reitner et al., 2005; Arakawa et al., 2006). Interestingly, the methane oxidation is an anaerobic process and two groups of Archaea (ANME-1, ANME-2) have been identified that can couple the reduction of sulfate to the oxidation of methane (Michaelis et al., 2002; Treude et al., 2003). The Black Sea microbial mats were shown to simultaneously consume methane and sulfate with the population dominated by ANME-1 type methylotrophs (Treude et al., 2005). More recently, the involvement of methyl sulfides in anaerobic methane oxidation has been reported (Moran et al., 2008). Iron oxidizing chemolithoautotrophs support communities in both marine such as the iron-rich mats of the Loihi Seamount (Gao et al., 2006) and terrestrial such as Iron Mountain (Bond et al., 2000a,b; Baker and Banfield, 2003). Microbial mats of filamentous chemolithoautotrophic sulfuroxidizing bacteria (e.g., Beggiatoa spp., Thioploca spp., Thiomargarita namibiensis) have been found on surface sediments from coastal zones (e.g., Santa Barbara Basin), upwelling zones, cold seeps, methane seeps, deep sea vents and mud volcanos (Mills et al., 2004; de Beer et al., 2006, Hinck et al., 2007; Preisler et al., 2007). The size of the individual filaments may be quite large, as they can be up to 10 μm in diameter and hundreds of microns in length (Gallardo and Espinoza, 2007). Although known primarily for their ability to oxidize sulfide with oxygen, some species can store nitrate intracellularly (Jørgensen and Gallardo, 1999; Schulz et al., 1999) and are capable of using nitrate as the electron acceptor (Hinck et al., 2007). The diel migration of Beggiatoa and Thiovulum species in response to oxygen and sulfide gradients has been known for some time (Jørgensen and Revsbech, 167 1983) but the accumulation of nitrate for later use in sulfide oxidation was documented only recently. There have been new discoveries about the ecological impact of alternative electron donors and acceptors. For example, arsenic is readily cycled in hypersaline environments and in the absence of significant sulfate reduction, drives the ecology (Oremland et al., 2005a). More recently, arsenic has been directly linked to photoautotrophy in biofilms from Mono Lake CA, with As(III) being used as an electron donor in the place of water or hydrogen sulfide (Kulp et al., 2008). Considering that early microbial communities inhabited thermal and brine environments, where arsenic should be abundant, one may speculate that these systems were fueled in part by arsenic cycling. Indeed, active arsenic cycling has been demonstrated for several hot spring mat communities (Inskeep et al., 2007). The versatility of nitrate as a terminal electron acceptor has been expanded with the discovery of organisms that couple nitrate reduction to the oxidation of sulfate (as described above), arsenite (Oremland and Stolz, 2003), and ammonia, the latter being known as “annamox” (Strous et al., 1999; Kuypers et al., 2003; Penton et al., 2006). 3. Community structure Community structure is the species composition (occurrence and abundance) down the vertical profile defined within a network of biogeochemical interactions. A microbial mat can be composed of hundreds to thousands of species of organisms that are stratified into a number of layers (Cohen et al., 1977; Stolz, 1983; DesMarais et al., 1992; Ward et al., 1992; Castenholz, 1994; Ramsing et al., 2000; Stolz, 2000, 2003). Primarily comprised of bacteria and some Archaea, eukaryotic organisms (e.g. diatoms) may also be significant (Bonny and Jones, 2007a,b). A variety of traditional techniques such as light and fluorescence microscopy, scanning and transmission electron microscopy, have been used for species identification (Stolz, 1994, Stolz et al., 2001). Flat laminated microbial mats are no different than most of the other microbial systems, in that “99%” of the species are unculturable. More recently culture independent methods (e.g., molecular approaches discussed below) have been used to investigate species diversity (Jonkers et al., 2003; Martínez-Alonso et al., 2005; Baumgarter et al., 2006; Bachar et al., 2007). The microbial mats at Guerrero Negro, for example, generated more than 1500 16S rRNA sequences representing over 750 species (Ley et al., 2006). Certain key species, especially phototrophs, can be readily identified in situ by their ultrastructure (Stolz, 1983) (Fig. 3). Three examples of stratified microbial communities are discussed below to demonstrate ecosystem dynamics. The sandy mat of the Great Sippewissett Marsh, Cape Cod, Massachusetts is an example of a stratified microbial community (Nicholson et al., 1987). The mat is subject to the alternating tides, being submerged at high tide and exposed at low tide. Gradients of light, oxygen, and sulfide define the vertical profile. The community lies just below a surface layer of sand and has up to six layers consisting of different microbial communities based on light and electron microscopy observations. These layers are discernable because of the different populations of pigmented organisms. The uppermost layer is yellow in color due to the presence of diatoms and a high concentration of carotenoids (Pierson et al., 1987). The next layer is green because of the presence of cyanobacteria such as Oscillatoria sp. and Lyngbya estuarii. The third layer is pink in color and is populated by purple sulfur bacteria (e.g., Amoebobacter sp., Thiocapsa roseopersarcina). The oxygen concentration in the green layer is at supersaturation because of active photosynthesis by the cyanobacteria. The pink layer, however, is anoxic, due to the combination of high rates of respiration and sulfate reduction. The subsequent layers are also dominated by anoxygenic phototrophic bacteria (e.g., purple and green phototrophic bacteria). The fourth layer is salmon in color due to the presence of purple sulfur bacteria with bacteriochlorophyll 168 J. Franks, J.F. Stolz / Earth-Science Reviews 96 (2009) 163–172 b (e.g., Thiocapsa pfennigii). The olive or fifth layer is composed primarily of the bacteriochlorophyll c containing green sulfur bacteria (e.g., Prosthecochloris estuarii), and is underlain by a black, sulfurous layer. The above description is an oversimplification and may give the impression that these mat communities are a static system. Microbial ecosystems are truly dynamic and can change dramatically over short time periods. These changes can be brought about by active motility as well as rapid growth. Microbes can cover great distances at speeds up to hundreds of microns per second propelled by flagella, gliding motility, or other means. There are purple sulfur bacteria in the pink layer of the Sippewissett sandy mat that have gas vacuoles (Nicholson et al., 1987). Filaments of the sulfur oxidizing bacterium Beggiotoa sp., are known to migrate several centimeters through sediment during the course of a night via gliding (Jørgensen and Revsbech, 1983; Moeller et al., 1985; Hinck et al., 2007). The growth of microorganisms can also be a factor. With generation times as brief as 20 min, massive blooms of organisms can occur virtually overnight. Catastrophic events in which a community or ecosystem is close to or completely destroyed eventually lead to recolonization. The phenomenon of succession in microbial ecosystems occurs in much the same way that has been described for terrestrial ecosystems. Two studies on stratified microbial communities, one on Mellum Island in the North Sea, and the other in Laguna Figueroa, Baja California, Mexico, provide insight into how such succession occurs. The island of Mellum is a small uninhabited island in the southern North Sea. Microbial mats are found in the upper intertidal zone and are especially well developed on the western shore. Three different mat types have been described (Stal et al., 1985). The microbial community in the newly colonized sand is comprised mostly of Oscillatoria sp. with lesser populations of Spirulina sp. and coccoid cyanobacteria. Essentially, this community begins to produce the organics and fix the nitrogen necessary to support a community of greater complexity. A more cohesive mat is dominated by the filamentous cyanobacterium Microcoleus chthonoplastes. M. chthonoplastes is easily recognized by the bundle of filaments in a common sheath. The third microbial mat type shows three layers, a surface green layer, dominated by filamentous cyanobacteria (M. chthonoplastes, Oscillatoria sp.), a red layer, dominated by purple sulfur bacteria (Thiocapsa sp., Thiopedia sp., Chromatium sp., Ectothiorhodospira sp.), and an underlying black layer, indicative of the activity of sulfate reducing bacteria. The growing period for the mats begins in May or June and ends in October or November. During the winter they are often destroyed or greatly reduced in size. Growth begins again in the spring with the colonization of the pristine sand with filaments of the nitrogen fixing Oscillatoria sp. (Stal et al., 1985). Laguna Figueroa is a small hypersaline lagoon on the Pacific Ocean side of Baja California, del Norte (Fig. 2). Several different mat types can be found (Margulis et al., 1980; Stolz, 1990). Only those mats that are dominated by M. chthonoplastes, however, form laminations in the sediment (Stolz, 1983; Stolz, 1990). Another distinguishing feature of this mat is that it has four distinct layers each representing different communities of phototrophic bacteria with keystone species: a surface yellow layer with mostly diatoms and the cyanobacteria Phormidium sp. and Aphanothece sp., a green layer with M. chthonoplastes and Chroococcidiopsis sp., a red layer with anoxygenic filamentous purple bacteria (Chromatium sp., Thiocapsa roseoparsarcina) and a Chloroflexus-like organism, and a salmon layer with Thiocapsa (Stolz, 1990; Fig. 3). The mats at Laguna Figueroa are usually only flooded for short periods each spring. However, starting in 1979, corresponding with an unusually wet winter caused by a strong el Niño, the lagoon filled up with over 3 m of fresh water and 10 cm of terrigenous sediment, virtually burying the community. Although the previously deposited laminated sediment remained intact, the microbial mat that formed them was destroyed. Once the waters receded, a thin veneer of halite covered the surface, beneath which was a yellow layer of diatoms, and a thin green layer of cyanobacteria (Oscillatoria salina, Spirulina subsalsa). The underlying terrigenous sediment was also being reworked by heterotrophic bacteria into a black ooze that reeked of hydrogen sulfide. After the third summer, M. cthonoplastes returned to dominate the surface community. Initially there was a thick gelatinous surface layer containing bundles of M. cthonoplastes, intermingled by filaments of S. subsalsa and O. salina. Later a three layered mat developed. The yellow surface layer was comprised mostly of diatoms (e.g., Navicula sp. Neitzche sp., Rhopolodia sp.), but had bundles of M. cthonoplastes, trichomes of Phormidium sp., O. salina, and S. subsalsa, as well as clusters of Aphanothece sp., and Gleocapsa sp.. The second layer, green in color, was dominated by the colonial coccoid Chroococcidiopsis. sp. and was underlain by a black sulfurous mud. Although purple sulfur bacteria were observed, no distinct layer was formed. At this point, the formation of annual laminations resumed. It took almost four years, however, for the full compliment of layers (yellow, green, red, salmon, and black) to reappear. Diatoms dominated the yellow layer, M. cthonoplastes and Chroococcidiopsis sp., the green layer, Chromatium sp. and the green bacterium Chloroflexus sp. in the red layer, and T. pfennigii in the salmon layer. Still some species were missing. These last two examples provide an interesting contrast even though they share similarities. The island of Mellum lies at 60° north latitude, and the mats are seasonally destroyed. The communities are dominated by rapid growing, upwardly mobile species and are reestablished every year. Laguna Figueroa on the other hand, is in a subtropical climate, just above 30° north latitude. Although the flat laminated mats have an annual growing season, the community is usually not destroyed by the spring high tides. Thus species with less tolerance for perturbation or slower growth kinetics may be able to persist. For this community, then, the periodic flooding and burial by terrestrial sediment has a greater impact on the community structure. The fact that a community is destroyed frequently does not necessarily mean the species diversity will be any less, but rather that there is selective pressure for rapidly growing species. The mats of Great Sippewissett Marsh, like the ones of the island of Mellum, are destroyed every winter and yet they develop into a multilayered community. This phenomenon is a reflection of the concept that organisms with short generation times can potentially respond to environmental changes with expediency, whereas organisms with long generation times may take a greater time to respond, but may also persist long after the optimal conditions for their growth have disappeared. 4. Advances in techniques The application of molecular approaches to the study of microbial ecology has revolutionized the field (Oremland et al., 2005b). Initial studies using dot blot hybridization and limited sequencing (Risatti et al., 1994), have given way to large scale sequencing (Ward et al., 2006; Baumgartner et al., 2006), gene expression studies (Steunou et al., 2006), and metagenomic analysis (Bhaya et al., 2007). Volumes of 16S rRNA gene sequences are now available through NCBI (http://www.ncbi. nlm.nih.gov/) and the Ribosomal Database Project II (http://rdp.cme. msu.edu/). Examples of phylogenetic studies based on 16S rRNA gene sequences include intertidal mats (Rothrock and García-Pichel, 2005), hypersaline mats (Risatti et al., 1994; López-Cortéz et al., 2001; Nuebel et al., 2001; Casamayor et al., 2002; Jonkers et al., 2003; Sørenson et al., 2005; Baumgartner et al., 2006), hot springs (Ruff-Roberts et al., 1994; Ferris and Ward, 1997; Ferris et al., 1997; Jackson et al., 2001; Ferris et al., 2003; Lacap et al., 2007; McGregor and Rasmussen, 2008), caves (Holmes et al., 2001; Engel et al., 2003, 2004), arctic hot springs (Roeselers et al., 2007), Antarctic lake mats (Taton et al., 2003; Jungblut et al., 2005), benthic lakes (Koizumi et al., 2004), thermal vents (Alain et al., 2004; Nakagawa et al., 2005, 2006), methane seeps (Michaelis et al., 2002; Treude et al., 2003, 2005), and the microbial community associated with coral black band disease (Barneah et al., 2007). These studies have identified the major phylotypes and when done quantitatively, the dominant species. They have reinforced the idea that microbial mats have great species richness and are organized into J. Franks, J.F. Stolz / Earth-Science Reviews 96 (2009) 163–172 guilds and assemblages (Ward et al., 2006). The phylogenic analyses can also reveal historic features. The microbial community in Cuatro Cienegas basin still maintains its marine heritage (50% of the phylotypes are more closely related to marine species) even though the organisms have not seen seawater since the Jurassic (Souza et al., 2006). Conversely, amplification and sequencing of ribosomal genes from a 217,000 year old Mediterranean sapropels identified phylotypes of freshwater green sulfur bacteria (Coolen and Overmann, 2007). Other studies have probed for specific groups with targeted primers for 16S rRNA genes (or the 16S–23S intergenic region, Leuko et al., 2007) or functional genes such as those involved in nitrogen fixation (Moisander et al., 2006), sulfate reduction (Dillon et al., 2007), and arsenite oxidase (Inskeep et al., 2007). In some cases the phylogeny obtained from the functional genes parallels that of the 16S rRNA gene, such as the Fenner– Matthews–Olson protein in green sulfur bacteria (Alexander and Imhoff, 2006). This approach, however, is not a panacea, as there are examples where the dominant phylotype has no known cultured relative. In addition, the techniques are dependent on proper sample collection and efficient nucleic acid extraction. Flash freezing is often used in sample collection, however, certain organisms readily lyse and their DNA is degraded in the process (Giacomazzi et al., 2005; Suomalainen et al., 2006), Conversely, some organisms are recalcitrant to cell lysis, and nucleic acid extraction and amplification from natural samples can be hampered by the chemical composition and presence of organics (as reviewed in Bertrand et al., 2005; Desai and Madamwar, 2007). Therefore, when characterizing a new community, a variety of methods should be tested, and the extraction efficiency determined. There are now over 800 bacterial and 50 archaeal genomes being sequenced or completed. This information has facilitated the application of comparative genomics (Klatt et al., 2007), functional gene arrays (Ward et al., 2007), and metagenomics (Ward et al., 2006; Wegley et al., 2007) to probe functionality and diversity. In hot spring populations in Mushroom Spring (Yellowstone National Park), ecotypes of different Synecococcus have been recognized (Ward et al., 2006). M. chthonoplastes that has been found in flat laminated mats across the globe are morphologically and ultrastructurally identical, but it is questionable whether they are all the same species or exhibit genetic variability and distinct physiology depending on the environment. A recent study used three gene loci on strains of M. chthonoplastes isolated by micromanipulation. The results seemed to indicate that there is indeed genetic diversity in populations collected from the ten sites from three different locations investigated (Lodders et al., 2005). Use of genome sequence from pure cultures and metagenomic data from mixed populations will allow for further investigation of the capabilities and interactions between the microbial species in these mat communities. Thus efforts to isolate and cultures organisms of interest as well as physiological and biochemical studies must continue along side the molecular based approaches (Wieringa et al., 2000; Oremland et al., 2005b). Even microscopy has seen innovation with the development of the field emission gun environmental SEM (FEG-SEM) that allows for examination of cryofixed hydrated samples under low vacuum (Dupraz et al., 2004). Confocal Laser Scanning Microscopy is quite useful for detecting microbes that are autofluorescent (e.g., phototrophic bacteria) and can be expanded through the use of a wide range of new fluorescent stains and specific molecular probes (e.g. fluorescence in situ hybridization, FISH). The sensitivity of FISH has been expanded through the use of catalyzed reporter deposition (CARD-FISH) that amplifies the signal intensity of the probe (Schmid et al., 2006). Species identification and enzymatic activity can be accomplished by coupling of FISH with microautoradiography (MAR-FISH) (Ouverny and Fuhrmann, 1999). A novel approach to targeting specific species is stable isotope probing (SIP). In this case, a substrate is labeled with 13C. The substrate is then fed to the community and allowed to be metabolized with the label eventually being incorporated into the cells' nucleic acids. The DNA and RNA are then extracted and the “heavier” nucleic acids (those from organisms that incorporated the 13C) are separated using density 169 gradient centrifugation. The 16S rRNA genes can then be amplified and sequenced, and a species identification made (Schmid et al., 2006). Fatty acid and pigment determination have also been useful tools for investigating community composition (Büehring et al., 2005; Nakajima et al., 2003). More recently, environmental proteomics has become a rapidly evolving field. Based on the every increasing database of protein sequences and their mass fingerprint (after trysin digest), protein fragments isolated from environmental samples can be identified using mass spectrometry (Maldi-TOF and MS-MS analysis) (Ram et al., 2005). 5. Summary Any given environment, whether aquatic or terrestrial, may be defined by a set of physical properties and chemical characteristics. The physical properties are typically determined by abiotic processes while the chemical characteristics may be markedly affected by the activity of organisms. The distribution of phototrophic bacteria is primarily determined by light, oxygen, and hydrogen sulfide. The quantity and quality of the light is affected by the light attenuating properties of water, but also by absorption by the different types of phototrophic bacteria. The concentration of oxygen is affected by diffusion and mixing as well as production by oxygenic phototrophs. The concentration of sulfide is dependent on a source of sulfate, the activity of sulfate reducing bacteria, and sulfide diffusion and consumption. These interactions result in dynamic systems that can exhibit both spatial and temporal heterogeneity, and provide a wide variety of environments supporting a rich diversity of species. The application of culture independent methods including metagenomics, will provide new insight into the community structure and dynamics of flat laminated mats. Nevertheless, physiological and biochemical studies remain essential for exploring the remarkable metabolic diversity and function of the microbial species that inhabit these important ecosystems. Acknowledgements This work was supported in part by NSF grant EAR 0221796. The authors wish to thank the members of the Research Initiative for Bahamian Stromatolites for fruitful discussions. RIBS contribution #45. 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