Evidence map›Paper›PMID 25750640›Full record

ArticleFrontiers in microbiology2015

Elevated atmospheric CO2 levels affect community structure of rice root-associated bacteria.

Takashi Okubo, Dongyan Liu, Hirohito Tsurumaru, Seishi Ikeda, Susumu Asakawa, Takeshi Tokida, Kanako Tago, Masahito Hayatsu, Naohiro Aoki, Ken Ishimaru and 7 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
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

17 authors.

Takashi OkuboEnvironmental Biofunction Division, National Institute for Agro-Environmental Sciences Tsukuba, Japan ; Department of Environmental Life Sciences, Graduate School of Life Sciences, Tohoku University Sendai, Japan.
Dongyan LiuDivision of Bioresource Functions, Graduate School of Bioagricultural Sciences, Nagoya University Nagoya, Japan.
Hirohito TsurumaruDepartment of Environmental Life Sciences, Graduate School of Life Sciences, Tohoku University Sendai, Japan.
Seishi IkedaLarge-scale Farming Research Division, Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization Hokkaido, Japan.
Susumu AsakawaDivision of Bioresource Functions, Graduate School of Bioagricultural Sciences, Nagoya University Nagoya, Japan.
Takeshi TokidaCarbon and Nutrient Cycles Division, National Institute for Agro-Environmental Sciences Tsukuba, Japan.
Kanako TagoEnvironmental Biofunction Division, National Institute for Agro-Environmental Sciences Tsukuba, Japan.
Masahito HayatsuEnvironmental Biofunction Division, National Institute for Agro-Environmental Sciences Tsukuba, Japan.
Naohiro AokiDepartment of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo Tokyo, Japan.
Ken IshimaruDivision of Plant Sciences, National Institute of Agrobiological Sciences Tsukuba, Japan.
Kazuhiro UjiieDivision of Plant Sciences, National Institute of Agrobiological Sciences Tsukuba, Japan.
Yasuhiro UsuiAgro-Meteorology Division, National Institute for Agro-Environmental Sciences Tsukuba, Japan.
Hirofumi NakamuraTaiyo-Keiki Co., Ltd. Tokyo, Japan.
Hidemitsu SakaiAgro-Meteorology Division, National Institute for Agro-Environmental Sciences Tsukuba, Japan.
Kentaro HayashiCarbon and Nutrient Cycles Division, National Institute for Agro-Environmental Sciences Tsukuba, Japan.
Toshihiro HasegawaAgro-Meteorology Division, National Institute for Agro-Environmental Sciences Tsukuba, Japan.
Kiwamu MinamisawaDepartment of Environmental Life Sciences, Graduate School of Life Sciences, Tohoku University Sendai, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of studies have shown that elevated atmospheric CO2 ([CO2]) affects rice yields and grain quality. However, the responses of root-associated bacteria to [CO2] elevation have not been characterized in a large-scale field study. We conducted a free-air CO2 enrichment (FACE) experiment (ambient + 200 μmol.mol(-1)) using three rice cultivars (Akita 63, Takanari, and Koshihikari) and two experimental lines of Koshihikari [chromosome segment substitution and near-isogenic lines (NILs)] to determine the effects of [CO2] elevation on the community structure of rice root-associated bacteria. Microbial DNA was extracted from rice roots at the panicle formation stage and analyzed by pyrosequencing the bacterial 16S rRNA gene to characterize the members of the bacterial community. Principal coordinate analysis of a weighted UniFrac distance matrix revealed that the community structure was clearly affected by elevated [CO2]. The predominant community members at class level were Alpha-, Beta-, and Gamma-proteobacteria in the control (ambient) and FACE plots. The relative abundance of Methylocystaceae, the major methane-oxidizing bacteria in rice roots, tended to decrease with increasing [CO2] levels. Quantitative PCR revealed a decreased copy number of the methane monooxygenase (pmoA) gene and increased methyl coenzyme M reductase (mcrA) in elevated [CO2]. These results suggest elevated [CO2] suppresses methane oxidation and promotes methanogenesis in rice roots; this process affects the carbon cycle in rice paddy fields.

Indexed as

16S rRNA geneFACEmethanericeroot

Identifiers

PMID25750640
PMCPMC4335179

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.