Gomez-Alvarez V, King GM, Nüsslein K.. Comparative bacterial diversity in recent Hawaiian volcanic deposits of different ages. FEMS Microbiol Ecol 60: 60-73

Department of Microbiology, University of Massachusetts, Amherst, MA 01003, USA.
FEMS Microbiology Ecology (Impact Factor: 3.57). 05/2007; 60(1):60-73. DOI: 10.1111/j.1574-6941.2006.00253.x
Source: PubMed


Volcanic activity creates new landforms that can change dramatically over time as a consequence of biotic succession. Nonetheless, volcanic deposits present severe constraints for microbial colonization and activity. We have characterized bacterial diversity on four recent deposits at Kilauea volcano, Hawaii (KVD). Much of the diversity was either closely related to uncultured organisms or distinct from any reported 16S rRNA gene sequences. Diversity indices suggested that diversity was highest in a moderately vegetated 210-year-old ash deposit (1790-KVD), and lowest for a 79-year-old lava flow (1921-KVD). Diversity for a 41-year-old tephra deposit (1959-KVD) and a 300-year-old rainforest (1700-KVD) reached intermediate values. The 1959-KVD and 1790-KVD communities were dominated by Acidobacteria, Alpha- and Gammaproteobacteria, Actinobacteria, Cyanobacteria, and many unclassified phylotypes. The 1921-KVD, an unvegetated low pH deposit, was dominated by unclassified phylotypes. In contrast, 1700-KVD was primarily populated by Alphaproteobacteria with very few unclassified phylotypes. Similar diversity indices and levels of trace gas flux were found for 1959-KVD and 1790-KVD; however, statistical analyses indicated significantly different communities. This study not only showed that microorganisms colonize recent volcanic deposits and are able to establish diverse communities, but also that their composition is governed by variations in local deposit parameters.

Download full-text


Available from: Klaus Nüsslein,
  • Source
    • "Cutler et al. (2014) suggested that plant community composition is a significant determinant for fungal communities, but is less relevant for bacterial community composition during long-term changes in soil microbial communities. Bacteria are able to colonize recent volcanic deposits, which can contain numerous unknown bacterial species (Gomez-Alvarez et al. 2007). Various aspects of the structure and function of microbial communities have been studied in recent Hawaiian volcanic deposits (Dunfield and King 2004), and these deposits in particular have been shown to harbor very distinct microbial assemblages. "
    [Show abstract] [Hide abstract]
    ABSTRACT: In this study, we analyzed the bacterial diversity in soils collected from Gyorae Gotjawal forest, where globally unique topography, geology, and ecological features support a forest grown on basalt flows from 110,000 to 120,000 years ago and 40,000 to 50,000 years ago. The soils at the site are fertile, with rocky areas, and are home to endangered species of plants and animals. Rainwater penetrates to the groundwater aquifer, which is composed of 34% organic matter containing rare types of soil and no soil profile. We determined the bacterial community composition using 116,475 reads from a 454-pyrosequencing analysis. This dataset included 12,621 operational taxonomic units at 3% dissimilarity, distributed among the following groups: Proteobacteria (56.2%) with 45.7% of α-Proteobacteria, Actinobacteria (25%), Acidobacteria (10.9%), Chloroflexi (2.4%), and Bacteroidetes (0.9%). In addition, 16S rRNA gene sequences were amplified using polymerase chain reaction and domain-specific primers to construct a clone library based on 142 bacterial clones. These clones were affiliated with the following groups: Proteobacteria (56%) with 51% of α-Proteobacteria, Acidobacteria (7.8%), Actinobacteria (17.6%), Chloroflexi (2.1%), Bacilli (1.4%), Cyanobacteria (2.8%), and Planctomycetes (1.4%). Within the phylum Proteobacteria, 56 of 80 clones were tentatively identified as 12 unclassified genera. Several new genera and a new family were discovered within the Actinobacteria clones. Results from 454-pyrosequencing revealed that 57% and 34% of the sequences belonged to undescribed genera and families, respectively. The characteristics of Gotjawal soil, which are determined by lava morphology, vegetation, and groundwater penetration, might be reflected in the bacterial community composition.
    MicrobiologyOpen 01/2015; 4(2). DOI:10.1002/mbo3.238 · 2.21 Impact Factor
  • Source
    • "This results in an increased N-fixation activity in the rhizosphere and a highly efficient share of nutrients between plants and microorganisms. Because of the patchy distribution of C and N concentrations at those sites, many studies have revealed the highest microbial diversity at intermediate stages of ecosystem development by targeting functional genes like nifH (Duc et al., 2009) or general microbial diversity by 16S rRNA gene (Gomez-Alvarez et al., 2007). This fits with the intermediate-disturbance hypothesis, postulating that medium disturbance events cause the highest diversification (Molino & Sabatier, 2001). "
    [Show abstract] [Hide abstract]
    ABSTRACT: Nitrogen management in soils has been considered as key to the sustainable use of terrestrial ecosystems and a protection of major ecosystem services. However, the microorganisms driving processes like nitrification, denitrification, N-fixation and mineralization are highly influenced by changing climatic conditions, intensification of agriculture and the application of new chemicals to a so far unknown extent. In this review, the current knowledge concerning the influence of selected scenarios of global change on the abundance, diversity and activity of microorganisms involved in nitrogen turnover, notably in agricultural and grassland soils, is summarized and linked to the corresponding processes. In this context, data are presented on nitrogen-cycling processes and the corresponding microbial key players during ecosystem development and changes in functional diversity patterns during shifts in land use. Furthermore, the impact of increased temperature, carbon dioxide and changes in precipitation regimes on microbial nitrogen turnover is discussed. Finally, some examples of the effects of pesticides and antibiotics after application to soil for selected processes of nitrogen transformation are also shown.
    FEMS Microbiology Ecology 06/2011; 78(1):3-16. DOI:10.1111/j.1574-6941.2011.01165.x · 3.57 Impact Factor
  • Source
    • "There are well-established stoichiometric constraints on microbial biomass production (Redfield, 1958; Cleveland and Liptzin, 2007) and nutrient limitation is invariably a major factor influencing succession dynamics (Cherif and Loreau, 2007). For example, several studies support the importance of nitrogen limitation in early autotrophic microbial community succession (Kastovska et al., 2005; Gomez-Alvarez et al., 2007; Schmidt et al., 2008). However, differences in substrate and specific environmental conditions make it very difficult to predict which resources will be limiting at different stages in succession, particularly for heterotrophic communities. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Ecologists have documented the process of plant succession for centuries, yet the successional patterns exhibited by microbial communities have received relatively little attention. We examine recent work on microbial succession and show how, despite some key differences, studies of plant succession can serve as a template for understanding microbial succession. We divide the broad range of patterns of microbial primary succession into three categories based on the source of carbon inputs and present conceptual models for each of these categories to explain and predict microbial succession patterns. We show how studies of microbial succession can lead to the development of more comprehensive ecological models of succession and improve our understanding of the processes that regulate microbial diversity in natural and man-made environments.
    Research in Microbiology 10/2010; 161(8):635-42. DOI:10.1016/j.resmic.2010.06.002 · 2.71 Impact Factor
Show more