| Literature DB >> 23535916 |
Kiana L Frank1, Daniel R Rogers, Heather C Olins, Charles Vidoudez, Peter R Girguis.
Abstract
Few studies have directly measured sulfate reduction at hydrothermal vents, and relatively little is known about how environmental or ecological factors influence rates of sulfate reduction in vent environments. A better understanding of microbially mediated sulfate reduction in hydrothermal vent ecosystems may be achieved by integrating ecological and geochemical data with metabolic rate measurements. Here we present rates of microbially mediated sulfate reduction from three distinct hydrothermal vents in the Middle Valley vent field along the Juan de Fuca Ridge, as well as assessments of bacterial and archaeal diversity, estimates of total biomass and the abundance of functional genes related to sulfate reduction, and in situ geochemistry. Maximum rates of sulfate reduction occurred at 90 °C in all three deposits. Pyrosequencing and functional gene abundance data revealed differences in both biomass and community composition among sites, including differences in the abundance of known sulfate-reducing bacteria. The abundance of sequences for Thermodesulfovibro-like organisms and higher sulfate reduction rates at elevated temperatures suggests that Thermodesulfovibro-like organisms may have a role in sulfate reduction in warmer environments. The rates of sulfate reduction presented here suggest that--within anaerobic niches of hydrothermal deposits--heterotrophic sulfate reduction may be quite common and might contribute substantially to secondary productivity, underscoring the potential role of this process in both sulfur and carbon cycling at vents.Entities:
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Year: 2013 PMID: 23535916 PMCID: PMC3695286 DOI: 10.1038/ismej.2013.17
Source DB: PubMed Journal: ISME J ISSN: 1751-7362 Impact factor: 10.302
Primers used for the enumeration of 16S rRNA and sulfate reduction functional genes
| Bacterial 16S | Bact1369F- 5′-CGGTGAATACGTTCYCGG-3′ | 1000 | 59 | Prok1541R- 5′-AAGGAGGTGATCC RGCCGCA-3′ | 1000 | 59 | |
| Bacterial 16S | Gray28F -5′-GAGTTTGATCNTGGCTCAG-3′ | 500 | 54 | Gray519R- 5′-GTNTTACNGCGGCKGCTG-3′ | 500 | 54 | Modified from |
| Archaeal 16S | Arch1-1369F- 5′-CGGTGAATACGTCCCTGC-3′ Arch2- 1369F-5′-CGGTGAATATGCCCCTGC-3′ | 500 (1:1 Mix) | 59 | Prok1541R- 5′-AAGGAGGTGATCC RGCCGCA-3′ | 1000 | 59 | |
| Archaeal 16S | Arch349F- 5′-GYGCASCAGKCGMGAAW-3′ | 500 | 54 | Arch806R- 5′-GGACTACVSGGGTATCTAAT | 500 | 54 | |
| δ-Proteobacteria | Delta361GF- 5′-AAGCCTGACGCASCAA-3′ | 600 | 55 | Delta685R- ATCTACGGATTTCACTCCTACA-3′ | 600 | 55 | |
| Disimmilatory | DSR1-F+-5′-ATCGGNCARGCNTTYCCNTT-3′ | 400 | 58 | DSR-R- 5′-GTGGMRCCGTGCAKRTTGG-3′ | 600 | 58 | |
| Disimmilatory sulfite reductase | DSR2060F 5′-CAACATCGTYCATACMCAGGG-3′ | 500 | 50 | DSR4R- 5′-GTGTAGCAGTTACCGCA-3′ | 500 | 50 | |
| Adenosine 5′-phosphosulfate reductase | aps3F 5′-TGGCAGATCATGWTYAAYGG-3′ | 400 | 55 | aps2R- 5′-GCGCCGTAACCRTCYTTRAA-3′ | 400 | 55 |
Annealing temperature.
Primers used for 454-pytrotag sequencing, all other primers used for qPCR.
Primers Delta361F and Delta685R allowed for quantification of iron- and sulfate-reducing genera within the δ-Proteobacteria including Geobacter, Pelobacter (including fermentative species), Desulfovibrio, Desulfomicrobium, Desulfuromusa, and Desulfuromonas (including dissimilatory S reducers) (Stults ).
Although these primers amplify bacterial dsrA gene sequences, they may not detect some gram-positive species and cannot detect select thermophilic bacterial and archaeal sulfate-reducing lineages (Kondo ).
Targets both bacterial and archaeal aprA gene (Christophersen ).
In situ ∑H2S measurements compensated for a range of hydrothermally relevant pH
| Not pH compensated | 3.91 | 2.10 | 0.660 |
| 3.5 | 3.9 | 2.1 | 0.55 |
| 4.0 | 3.9 | 2.1 | 0.55 |
| 4.5 | 3.9 | 2.1 | 0.55 |
| 5.0 | 3.9 | 2.1 | 0.56 |
| 5.5 | 4.0 | 2.2 | 0.56 |
| 6.0 | 4.2 | 2.3 | 0.59 |
| 6.5 | 4.8 | 2.6 | 0.68 |
| 7.0 | 6.8 | 3.7 | 0.96 |
| 7.5 | 13 | 7.1 | 1.9 |
| 8.0 | 33 | 18 | 4.7 |
| 8.2 | 50 | 27 | 7.1 |
Values represent the median values of the 10 highest sampling points.
The first row of values refers only to (H2S) and not ∑H2S.
Total sulfide calculation at the most environmentally relevant pH (Butterfield et al., 1994).
Figure 1Temperature-dependent sulfate reduction rates in three hydrothermal deposits (Chowder Hill, Dead Dog, and Needles) recovered from Middle Valley. Slurried samples were incubated for 7 days with () or without () the addition of 28 mℳ molybdate (a competitive inhibitor for sulfate reduction). Error bars represent 1 s.d. from the average. Statistical significance from the controls (Wilcox–Mann–Whitney) are shown as *P<0.1, **P<0.05. Scintillation measurements of 0 c.p.m. for radioactive sulfide (Zn35S) were considered below the detection limit (BDL).
Figure 2Abundance of (a) 16S rRNA genes and (b) functional gene markers for sulfate reduction across three massive sulfide deposits. Samples of hydrothermal sulfide material were collected from each of the three vent sites, frozen on return to the surface, and DNA was extracted using described protocols. Bacterial and archaeal 16S rRNA, dsrA, and aprA genes were enumerated by qPCR using published primer sets and normalized to grams of extracted sulfide. Error bars represent 1 s.d.
16S rRNA sequence tag and alpha diversity characteristics among sites
| Chowder Hill-bacteria | 3997 | 3544 | 340 | 0.948 | 3.30 | 0.168 | 647.23 |
| Dead Dog-bacteria | 3544 | 3544 | 341 | 0.957 | 3.69 | 0.141 | 572.12 |
| Needles-bacteria | 3983 | 3544 | 278 | 0.966 | 3.19 | 0.203 | 458.02 |
| Chowder Hill-archaea | 783 | 308 | 76 | 0.877 | 3.59 | 0.095 | 134.58 |
| Dead Dog-archaea | 308 | 308 | 58 | 0.903 | 3.34 | 0.071 | 97.55 |
| Needles-archaea | 2587 | 308 | 35 | 0.938 | 2.24 | 0.233 | 63.5 |
Abbreviation: OTU, operational taxonomic unit.
Figure 3Rarefaction analysis of archaeal (a) and bacterial (b) sequences from each site at OTU clustering at the 95%, 97% and unique level. All 16S rRNA libraries were randomly sampled down to the smallest sample size, (a) n=308 (Dead Dog), (b) n=3544 (Dead Dog). For both bacteria and archaea, Needles had the least diverse populations.
Figure 4Archaeal (a) and Bacterial (b) taxonomic distribution among the different hydrothermal deposits revealed differences in microbial community composition. Bacterial V1–V3 region and archaeal V3–V4 regions of the 16S were sequenced by 454, analyzed with Mothur, and all libraries were randomly sampled down to the smallest sample size, (a) n=308 (Dead Dog), (b) n=3544 (Dead Dog).