Evidence map›Paper›PMID 32472206›Full record

ArticleMycorrhiza2020

Positive effects of co-inoculation with Rhizophagus irregularis and Serendipita indica on tomato growth under saline conditions, and their individual colonization estimated by signature lipids.

Mohammad Bagher Heidarianpour, Nasser Aliasgharzad, Pål Axel Olsson

Abstract read
PubMed Publisher
In one paragraph

Article in Mycorrhiza, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.7field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. The Role ofBiology · 2022
    Review
  8. Article
  9. Article
  10. The Fungal EndophyteJournal of fungi (Basel, Switzerland) · 2020
    Article
  11. 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

3 authors at 2 institutions in 2 countries.

Mohammad Bagher HeidarianpourDepartment of Soil Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
Nasser AliasgharzadDepartment of Soil Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran. n-aliasghar@tabrizu.ac.ir.
Pål Axel OlssonBiodiversity, Biology Department, Lund University, Lund, Sweden.
University of Tabriz · IRLund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tomato roots can be colonized by both mycorrhizal fungi and the endophytic fungus Serendipita indica. This study was aimed at assessment of the impact of single or dual inoculation with R. irregularis and S. indica on tomato growth under saline conditions. We used signature compounds to estimate the abundance of each of these two fungi (fatty acid 16:1ω5 for R. irregularis and ergosterol for S. indica) in roots. A randomized block design was applied with four types of inoculation (no fungus, R. irregularis, S. indica or S. indica + R. irregularis) at different levels of salinity (1.2, 5, and 10 dS/m) with four replications per treatment. The plant dry weight was slightly higher in R. irregularis- than S. indica-inoculated plants, and the highest plant biomass was achieved with dual inoculation. R. irregularis increased the content of the neutral lipid fatty acid 16:1ω5 from 97 to 5300 nmol/g and phospholipid fatty acid 16:1ω5 from 8 to 141 nmol/g in roots (at a salinity level of 1.2 dS m

Indexed as

BasidiomycotaGlomeromycotaMycorrhizaeSolanum lycopersicumLipidsPlant RootsLipidsArbuscular mycorrhizaDual inoculationLipid signaturesSalinity stressSerendipita indicaTomato

Identifiers

PMID32472206
OpenAlexW3032346325

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.