Evidence map›Paper›PMID 33203383›Full record

ArticleBMC microbiology2020

A longitudinal study on morpho-genetic diversity of pathogenic Rhizoctonia solani from sugar beet and dry beans of western Nebraska.

Saurav Das, T Plyler-Harveson, Dipak K Santra, Bijesh Maharjan, Kathy A Nielson, Robert M Harveson

Abstract read
In one paragraph

Article in BMC microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Unveiling the Genetic Tapestry: ExploringPlants (Basel, Switzerland) · 2024
    Article
  2. 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

6 authors.

Saurav DasPanhandle Research and Extension Centre, University of Nebraska-Lincoln, Scottsbluff, NE, USA.
T Plyler-HarvesonPanhandle Research and Extension Centre, University of Nebraska-Lincoln, Scottsbluff, NE, USA.
Dipak K SantraPanhandle Research and Extension Centre, University of Nebraska-Lincoln, Scottsbluff, NE, USA. dsantra2@unl.edu.ORCID 0000-0001-7484-6672
Bijesh MaharjanPanhandle Research and Extension Centre, University of Nebraska-Lincoln, Scottsbluff, NE, USA.
Kathy A NielsonPanhandle Research and Extension Centre, University of Nebraska-Lincoln, Scottsbluff, NE, USA.
Robert M HarvesonPanhandle Research and Extension Centre, University of Nebraska-Lincoln, Scottsbluff, NE, USA.

Funding

Research State Aided Internal Fund 21-6243-1001Research State Aided Internal Fund 21-6243-1006
6 · The paper itself

Abstract

backgroundRoot and stem rot caused by Rhizoctonia solani is a serious fungal disease of sugar beet and dry bean production in Nebraska. Rhizoctonia root rot and crown rot in sugar beet and dry bean have reduced the yield significantly and has also created problems in storage. The objective of this study was to analyze morpho-genetic diversity of 38 Rhizoctonia solani isolates from sugar beet and dry bean fields in western Nebraska collected over 10 years. Morphological features and ISSR-based DNA markers were used to study the morphogenetic diversity.

resultsFungal colonies were morphologically diverse in shapes, aerial hyphae formation, colony, and sclerotia color. Marker analysis using 19 polymorphic ISSR markers showed polymorphic bands ranged from 15 to 28 with molecular weight of 100 bp to 3 kb. Polymorphic loci ranged from 43.26-92.88%. Nei genetic distance within the population ranged from 0.03-0.09 and Shannon diversity index varied from 0.24-0.28. AMOVA analysis based on ΦPT values showed 87% variation within and 13% among the population with statistical significance (p < 0.05). Majority of the isolates from sugar beet showed nearby association within the population. A significant number of isolates showed similarity with isolates of both the crops suggesting their broad pathogenicity. Isolates were grouped into three different clusters in UPGMA based cluster analysis using marker information. Interestingly, there was no geographical correlation among the isolates. Principal component analysis showed randomized distribution of isolates from the same geographical origin. Identities of the isolates were confirmed by both ITS-rDNA sequences and pathogenicity tests.

conclusionIdentification and categorization of the pathogen will be helpful in designing integrated disease management guidelines for sugar beet and dry beans of mid western America.

Indexed as

Beta vulgarisCluster AnalysisDNA, FungalGenetic MarkersGenetic VariationLongitudinal StudiesMicrosatellite RepeatsNebraskaPhaseolusPlant DiseasesPlant RootsRhizoctoniaDNA, FungalGenetic MarkersDNA markerDry beanNebraskaRhizoctonia solaniSugar beetUSA

Identifiers

PMID33203383
PMCPMC7672822

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.