Evidence map›Paper›PMID 31671175›Full record

ArticleJournal of insect science (Online)2019

Isolation and Characterization of Microsatellite Markers for Soybean Looper (Lepidoptera: Noctuidae).

C S Silva, E M G Cordeiro, A S Corrêa

Open access · goldAbstract read
In one paragraph

Article in Journal of insect science (Online), 2019. 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
0.9field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  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

3 authors at 1 institution in 1 country.

C S SilvaLaboratory of Arthropod Molecular Ecology, Department of Entomology and Acarology, University of Sao Paulo, Luiz de Queiroz College of Agriculture, Piracicaba, São Paulo, Brazil.
E M G CordeiroLaboratory of Arthropod Molecular Ecology, Department of Entomology and Acarology, University of Sao Paulo, Luiz de Queiroz College of Agriculture, Piracicaba, São Paulo, Brazil.
A S CorrêaLaboratory of Arthropod Molecular Ecology, Department of Entomology and Acarology, University of Sao Paulo, Luiz de Queiroz College of Agriculture, Piracicaba, São Paulo, Brazil.
Universidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We constructed 13 microsatellite markers for Chrysodeixis includens (Walker), a serious crop pest in the Americas. All SSR (Simple Sequence Repeat) markers were polymorphic, with no evidence of linkage disequilibrium between any loci in any population. The total number of alleles per locus ranged from 5 for L3, L9, and L11 to 26 for L6; the mean number of alleles per locus in three populations of C. includens ranged from 2.33 for L3 to 14.67 for L6. Hardy-Weinberg equilibrium (HWE) deviation was not observed in four loci for at least one population (L3, L5, L9, L10). Markers L6, L7, L8, L10, L11, L12, and L13 showed a frequency of null alleles > 0.2 for at least one population. STRUCTURE and F-statistics revealed low population structure among the populations (FST = 0.013) and a high degree of inbreeding (FIS = 0.658). The SSR markers developed here will be useful in future studies on the ecology, demography, host dynamics, and gene flow of C. includens. This information is essential to understand the recent status of C. includens as a key pest in South America.

Indexed as

Linkage DisequilibriumMicrosatellite RepeatsPolymorphism, GeneticAnimalsMothsagricultural pestgene flowgenetic structurepest outbreakSSR markers

Identifiers

PMID31671175
PMCPMC6822687
OpenAlexW2989389489

What OpenQuestion holds

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LicenceCC BY-NC
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.