Evidence map›Paper›PMID 11055964›Full record

ArticleApplied and environmental microbiology2000

Rapid detection and quantification of members of the archaeal community by quantitative PCR using fluorogenic probes.

K Takai, K Horikoshi

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Applied and environmental microbiology, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 318 papers.

0numbers the graph read from it
0cells of the map it votes in
318citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

318 citing papers in PubMed, 876 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Comparison of Different Methods of Molecular Detection ofCurrent issues in molecular biology · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

258 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

K TakaiDeep-sea Microorganisms Research Group, Japan Marine Science & Technology Center, Yokosuka 237-0061, Japan. kent@jamstec.go.jp
K Horikoshi
Japan Agency for Marine-Earth Science and Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a rapid, reproducible, and sensitive method for detection and quantification of archaea in naturally occurring microbial communities. A domain-specific PCR primer set and a domain-specific fluorogenic probe having strong and weak selectivity, respectively, for archaeal rRNA genes (rDNAs) were designed. A universal PCR primer set and a universal fluorogenic probe for both bacterial and archaeal rDNAs were also designed. Using these primers and probes, we demonstrated that detection and quantification of archaeal rDNAs in controlled microbial rDNA assemblages can be successfully achieved. The system which we designed was also able to detect and quantify archaeal rDNAs in DNA samples obtained not only from environments in which thermophilic archaea are abundant but also from environments in which methanogenic archaea are abundant. Our findings indicate that this method is applicable to culture-independent molecular analysis of microbial communities in various environments.

Indexed as

Environmental MicrobiologyFluorescent DyesArchaeaDNA, ArchaealDNA, RibosomalEcosystemGenes, rRNAPolymerase Chain ReactionReproducibility of ResultsSensitivity and SpecificityDNA, ArchaealDNA, RibosomalFluorescent Dyes

Identifiers

PMID11055964
PMCPMC92420
OpenAlexW1980453934

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.