Microbial Ecology

, Volume 61, Issue 4, pp 860–870 | Cite as

Environmental Constraints Underpin the Distribution and Phylogenetic Diversity of nifH in the Yellowstone Geothermal Complex

  • Trinity L. Hamilton
  • Eric S. Boyd
  • John W. Peters
Environmental Microbiology


Biological nitrogen fixation is a keystone process in many ecosystems, providing bioavailable forms of fixed nitrogen for members of the community. In the present study, degenerate primers targeting the nitrogenase iron protein-encoding gene (nifH) were designed and employed to investigate the physical and chemical parameters that underpin the distribution and diversity of nifH as a proxy for nitrogen-fixing organisms in the geothermal springs of Yellowstone National Park (YNP), Wyoming. nifH was detected in 57 of the 64 YNP springs examined, which varied in pH from 1.90 to 9.78 and temperature from 16°C to 89°C. This suggested that the distribution of nifH in YNP is widespread and is not constrained by pH and temperature alone. Phylogenetic and statistical analysis of nifH recovered from 13 different geothermal spring environments indicated that the phylogeny exhibits evidence for both geographical and ecological structure. Model selection indicated that the phylogenetic relatedness of nifH assemblages could be best explained by the geographic distance between sampling sites. This suggests that nifH assemblages are dispersal limited with respect to the fragmented nature of the YNP geothermal spring environment. The second highest ranking explanatory variable for predicting the phylogenetic relatedness of nifH assemblages was spring water conductivity (a proxy for salinity), suggesting that salinity may constrain the distribution of nifH lineages in geographically isolated YNP spring ecosystems. In summary, these results indicate a widespread distribution of nifH in YNP springs, and suggest a role for geographical and ecological factors in constraining the distribution of nifH lineages in the YNP geothermal complex.


Phylogenetic Diversity Yellowstone National Park nifH Sequence Geothermal Spring High Metabolic Cost 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work was supported by the NASA Astrobiology Institute (NAI) grant NNA08C- N85A to J.W.P and the National Science Foundation (PIRE-0968421) to J.W.P. T.L.H. was supported by an NSF-Integrated Graduate Educational Research and Training fellowship grant. E.S.B. graciously acknowledges support from the NAI Postdoctoral Program. We are grateful to Christie Hendrix and Stacey Gunther for facilitating the permitting process to perform research in YNP. We are also grateful to Gill Geesey for numerous discussions and for use of laboratory facilities.

Supplementary material

248_2011_9824_MOESM1_ESM.doc (72 kb)
Figure 1 Hierarchical clustering diagram of the relationships in D p distance based on the Paup-smoothed tree, using 1,000 permutations and the Wards method of clustering. The values at the nodes are the average unbiased P values and the red boxes denote clusters with a P value <0.05. Sampling site abbreviations correspond to those presented in Table 1. (DOC 72 kb)
248_2011_9824_MOESM2_ESM.doc (45 kb)
Table 1 Pairwise distances between sampling sites. (DOC 45 kb)
248_2011_9824_MOESM3_ESM.doc (88 kb)
Table 2 Clone frequencies, accession numbers, and affiliations in each of the 13 environments studied. (DOC 88 kb)


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Chemistry and Biochemistry and the Astrobiology Biogeocatalysis Research CenterMontana State UniversityBozemanUSA
  2. 2.Department of Chemistry and BiochemistryMontana State UniversityBozemanUSA

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