Evidence map›Paper›PMID 26114100›Full record

ArticleBioMed research international2015

Biochemical and Molecular Phylogenetic Study of Agriculturally Useful Association of a Nitrogen-Fixing Cyanobacterium and Nodule Sinorhizobium with Medicago sativa L.

E V Karaushu, I V Lazebnaya, T R Kravzova, N A Vorobey, O E Lazebny, D A Kiriziy, O P Olkhovich, N Yu Taran, S Ya Kots, A A Popova and 2 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 97% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Four New Genes of CyanobacteriumMicroorganisms · 2020
    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

12 authors at 6 institutions in 2 countries.

E V KaraushuEducational and Scientific "Institute of Biology", Taras Shevchenko National University of Kyiv, 64/13 Volodymyrska Street, Kyiv 01601, Ukraine.
I V LazebnayaN. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkin Street 3, Moscow 119333, Russia.ORCID 0000-0001-7548-3615
T R KravzovaLomonosov Moscow State University, Biocenter, Leninskie Gory 1-12, Moscow 119991, Russia.
N A VorobeyInstitute of Plant Physiology and Genetics, National Academy of Sciences of Ukraine, 31/17 Vasylkivska Street, Kyiv 03022, Ukraine.
O E LazebnyN. K. Kol'tsov Institute of Developmental Biology, Russian Academy of Sciences, Vavilova Street 26, Moscow 119334, Russia.ORCID 0000-0003-3136-0415
D A KiriziyInstitute of Plant Physiology and Genetics, National Academy of Sciences of Ukraine, 31/17 Vasylkivska Street, Kyiv 03022, Ukraine.
O P OlkhovichEducational and Scientific "Institute of Biology", Taras Shevchenko National University of Kyiv, 64/13 Volodymyrska Street, Kyiv 01601, Ukraine.
N Yu TaranEducational and Scientific "Institute of Biology", Taras Shevchenko National University of Kyiv, 64/13 Volodymyrska Street, Kyiv 01601, Ukraine.
S Ya KotsInstitute of Plant Physiology and Genetics, National Academy of Sciences of Ukraine, 31/17 Vasylkivska Street, Kyiv 03022, Ukraine.
A A PopovaInstitute of Molecular Genetics, Russian Academy of Sciences, Moscow 123182, Russia.ORCID 0000-0001-5958-7350
E OmarovaLomonosov Moscow State University, Belozersky Institute of Physical-Chemical Biology, Leninskie Gory 1-40, Moscow 119992, Russia.
O A KoksharovaInstitute of Molecular Genetics, Russian Academy of Sciences, Moscow 123182, Russia ; Lomonosov Moscow State University, Belozersky Institute of Physical-Chemical Biology, Leninskie Gory 1-40, Moscow 119992, Russia.ORCID 0000-0003-2913-9017
Lomonosov Moscow State University · RUNational Academy of Sciences of Ukraine · UATaras Shevchenko National University of Kyiv · UAInstitute of Molecular Genetics · RUKoltzov Institute of Developmental Biology · RUVavilov Institute of General Genetics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seed inoculation with bacterial consortium was found to increase legume yield, providing a higher growth than the standard nitrogen treatment methods. Alfalfa plants were inoculated by mono- and binary compositions of nitrogen-fixing microorganisms. Their physiological and biochemical properties were estimated. Inoculation by microbial consortium of Sinorhizobium meliloti T17 together with a new cyanobacterial isolate Nostoc PTV was more efficient than the single-rhizobium strain inoculation. This treatment provides an intensification of the processes of biological nitrogen fixation by rhizobia bacteria in the root nodules and an intensification of plant photosynthesis. Inoculation by bacterial consortium stimulates growth of plant mass and rhizogenesis and leads to increased productivity of alfalfa and to improving the amino acid composition of plant leaves. The full nucleotide sequence of the rRNA gene cluster and partial sequence of the dinitrogenase reductase (nifH) gene of Nostoc PTV were deposited to GenBank (JQ259185.1, JQ259186.1). Comparison of these gene sequences of Nostoc PTV with all sequences present at the GenBank shows that this cyanobacterial strain does not have 100% identity with any organisms investigated previously. Phylogenetic analysis showed that this cyanobacterium clustered with high credibility values with Nostoc muscorum.

Indexed as

SymbiosisAgricultureCyanobacteriaMedicago sativaMolecular Sequence DataNitrogenNitrogen FixationPhylogenyRhizobiumRoot Nodules, PlantSinorhizobium melilotiNitrogen

Identifiers

PMID26114100
PMCPMC4465650
OpenAlexW1944823029

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.