Culture-Independent Estimation of Optimal and Maximum Growth Temperatures of Archaea in Subsurface Habitats Based on the G+C Content in 16S rRNA Gene Sequences

Hiroyuki Kimura, Kousuke Mori, Tomokazu Tashiro, Kenji Kato, Toshiro Yamanaka, Jun Ichiro Ishibashi, Satoshi Hanada

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

The temperature ranges of growth of archaea are strongly correlated with the guanine-plus-cytosine (G+C) contents of their 16S rRNA sequences (PGC). In order to estimate minimum (Tmin), optimal (Topt), and maximum (Tmax) growth temperatures of uncultured archaea based on PGC, the 16S rRNA gene sequences of 207 archaeal species were collected from public databases, and their Tmin, Topt and Tmax were extracted from description papers and reviews. These values of growth temperatures were plotted against PGC, and then the regression lines for estimating Tmin, Topt and Tmax were calculated. We PCR-amplified the archaeal 16S rRNA gene fragments from the hot water samples, cloned the fragments, and determined the sequences. Growth temperatures of environmental archaea were inferred from G+C content of the 16S rRNA gene sequences by the regression lines. In the terrestrial hot springs (74°C and 85°C), both estimated growth temperatures of archaea were higher than in situ temperatures of hot spring waters. Even from tepid hydrothermal fluid (40°C) we obtained a significant number of archaeal genes indicating high growth temperatures. These results suggested that hot subsurface environments exist under those hydrothermal and geothermal regions. In this study, growth temperatures of uncultured archaea and in situ subsurface temperatures were roughly inferred from 16S rRNA gene sequences of archaea that were transported from the subsurface biosphere. This new method based on microbial molecular information may be applicable to temperature estimation of subsurface environments for which it has been difficult to measure the actual temperature with appropriate instrumentation.

Original languageEnglish
Pages (from-to)114-122
Number of pages9
JournalGeomicrobiology Journal
Volume27
Issue number2
DOIs
Publication statusPublished - Mar 2010

Fingerprint

Archaea
Base Composition
Growth temperature
rRNA Genes
Ecosystem
Genes
Temperature
gene
habitat
Growth
Hot springs
temperature
Hot Springs
Water
thermal spring
Cytosine
Guanine
Archaeal Genes
spring water
Fluids

Keywords

  • 16S rRNA gene
  • Archaea
  • G+C content
  • Growth temperature
  • Microbial molecular thermometer (MMT)
  • Subsurface

ASJC Scopus subject areas

  • Earth and Planetary Sciences (miscellaneous)
  • Microbiology
  • Environmental Science(all)
  • Environmental Chemistry

Cite this

Culture-Independent Estimation of Optimal and Maximum Growth Temperatures of Archaea in Subsurface Habitats Based on the G+C Content in 16S rRNA Gene Sequences. / Kimura, Hiroyuki; Mori, Kousuke; Tashiro, Tomokazu; Kato, Kenji; Yamanaka, Toshiro; Ishibashi, Jun Ichiro; Hanada, Satoshi.

In: Geomicrobiology Journal, Vol. 27, No. 2, 03.2010, p. 114-122.

Research output: Contribution to journalArticle

Kimura, Hiroyuki ; Mori, Kousuke ; Tashiro, Tomokazu ; Kato, Kenji ; Yamanaka, Toshiro ; Ishibashi, Jun Ichiro ; Hanada, Satoshi. / Culture-Independent Estimation of Optimal and Maximum Growth Temperatures of Archaea in Subsurface Habitats Based on the G+C Content in 16S rRNA Gene Sequences. In: Geomicrobiology Journal. 2010 ; Vol. 27, No. 2. pp. 114-122.
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