Evidence map›Paper›PMID 27147932›Full record

ArticleThe plant pathology journal2016

Principal Component Analysis and Molecular Characterization of Reniform Nematode Populations in Alabama.

Seloame T Nyaku, Ramesh V Kantety, Ernst Cebert, Kathy S Lawrence, Joseph O Honger, Govind C Sharma

Abstract read
In one paragraph

Article in The plant pathology journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Seloame T NyakuDepartment of Crop Science, College of Basic and Applied Sciences, University of Ghana, P.O. Box LG 44, Legon-Accra; Department of Natural Resources and Environmental Sciences, Alabama A & M University, Normal-AL, 35762.
Ramesh V KantetyDepartment of Natural Resources and Environmental Sciences, Alabama A & M University, Normal-AL, 35762.
Ernst CebertDepartment of Natural Resources and Environmental Sciences, Alabama A & M University, Normal-AL, 35762.
Kathy S LawrenceDepartment of Entomology and Plant Pathology, Auburn University, Auburn, AL 36849.
Joseph O HongerSoil and Irrigation Research Centre, University of Ghana, P.O. Box LG 44, Legon-Accra.
Govind C SharmaDepartment of Natural Resources and Environmental Sciences, Alabama A & M University, Normal-AL, 35762.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

U.S. cotton production is suffering from the yield loss caused by the reniform nematode (RN), Rotylenchulus reniformis. Management of this devastating pest is of utmost importance because, no upland cotton cultivar exhibits adequate resistance to RN. Nine populations of RN from distinct regions in Alabama and one population from Mississippi were studied and thirteen morphometric features were measured on 20 male and 20 female nematodes from each population. Highly correlated variables (positive) in female and male RN morphometric parameters were observed for body length (L) and distance of vulva from the lip region (V) (r = 0.7) and tail length (TL) and c' (r = 0.8), respectively. The first and second principal components for the female and male populations showed distinct clustering into three groups. These results show pattern of sub-groups within the RN populations in Alabama. A one-way ANOVA on female and male RN populations showed significant differences (p ≤ 0.05) among the variables. Multiple sequence alignment (MSA) of 18S rRNA sequences (421) showed lengths of 653 bp. Sites within the aligned sequences were conserved (53%), parsimony-informative (17%), singletons (28%), and indels (2%), respectively. Neighbor-Joining analysis showed intra and inter-nematodal variations within the populations as clone sequences from different nematodes irrespective of the sex of nematode isolate clustered together. Morphologically, the three groups (I, II and III) could not be distinctly associated with the molecular data from the 18S rRNA sequences. The three groups may be identified as being non-geographically contiguous.

Indexed as

principal component analysisreniform nematodevariation

Identifiers

PMID27147932
PMCPMC4853102

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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.