Evidence map›Paper›PMID 29614067›Full record

ArticlePloS one2018

Detection of sister-species in invasive populations of the fall armyworm Spodoptera frugiperda (Lepidoptera: Noctuidae) from Uganda.

Michael H Otim, Wee Tek Tay, Thomas K Walsh, Dalton Kanyesigye, Stella Adumo, Joseph Abongosi, Stephen Ochen, Julius Sserumaga, Simon Alibu, Grace Abalo and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 138 citations in OpenAlex.

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  11. Migration risk of fall armyworm (Frontiers in plant science · 2023
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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 3 institutions in 2 countries.

Michael H OtimNational Crops Resources Research Institute, Namulonge, Kampala, Uganda.ORCID 0000-0001-5406-012X
Wee Tek TayCommonwealth Scientific and Industrial Research Organization, Canberra, Australia.
Thomas K WalshCommonwealth Scientific and Industrial Research Organization, Canberra, Australia.
Dalton KanyesigyeNational Crops Resources Research Institute, Namulonge, Kampala, Uganda.
Stella AdumoNational Crops Resources Research Institute, Namulonge, Kampala, Uganda.
Joseph AbongosiNational Crops Resources Research Institute, Namulonge, Kampala, Uganda.
Stephen OchenNational Crops Resources Research Institute, Namulonge, Kampala, Uganda.
Julius SserumagaNational Crops Resources Research Institute, Namulonge, Kampala, Uganda.
Simon AlibuNational Crops Resources Research Institute, Namulonge, Kampala, Uganda.
Grace AbaloNational Crops Resources Research Institute, Namulonge, Kampala, Uganda.
Godfrey AseaNational Crops Resources Research Institute, Namulonge, Kampala, Uganda.
Ambrose AgonaNational Agricultural Research Organization, Entebbe, Uganda.
National Agricultural Research Institute · UGHealth Sciences and Nutrition · AUNational Agricultural Research Organisation · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fall armyworm (FAW) Spodoptera frugiperda (J. E. Smith) is a species native to the Americas. This polyphagous lepidopteran pest was first reported in Nigeria and the Democratic Republic of São Tomé and Principe in 2016, but its presence in eastern Africa has not been confirmed via molecular characterisation. In this study, FAW specimens from western and central Uganda were identified based on the partial mtDNA COI gene sequences, with mtDNA COI haplotypes matching those identified in Nigeria and São Tomé. In this study, we sequence an additional partial mtDNA Cyt b gene and also the partial mtDNA COIII gene in Ugandan FAW samples. We detected identical mitochondrial DNA haplotypes for both the mtDNA Cyt b and COI partial genes, while combining the mtDNA COI/Cyt b haplotypes and mtDNA COIII haplotypes enabled a new maternal lineage in the Ugandan corn-preferred FAW samples to be identified. Our results suggested that the African incursions of S. frugiperda involved at least three maternal lineages. Recent full genome, phylogenetic and microsatellite analyses provided evidence to support S. frugiperda as likely consisted of two sympatric sister species known as the corn-preferred and rice-preferred strains. In our Ugandan FAW populations, we identified the presence of mtDNA haplotypes representative of both sister species. It is not known if both FAW sister species were originally introduced together or separately, and whether they have since spread as a single population. Further analyses of additional specimens originally collected from São Tomé, Nigeria and throughout Africa would be required to clarify this issue. Importantly, our finding showed that the genetic diversity of the African corn-preferred FAW species is higher than previously reported. This potentially contributed to the success of FAW establishment in Africa. Furthermore, with the additional maternal lineages detected, there is likely an increase in paternal lineages, thereby increasing the diversity of the African FAW population. Knowledge of the FAW genetic diversity will be needed to assess the risks of introducing Bt-resistance traits and to understand the FAW incursion pathways into the Old World and its potential onward spread. The agricultural implications of the presence of two evolutionary divergent FAW lineages (the corn and the rice lineage) in the African continent are further considered and discussed.

Indexed as

Introduced SpeciesAnimalsDNA, MitochondrialGenes, MitochondrialHaplotypesPhylogenySequence Analysis, DNASpodopteraUgandaDNA, Mitochondrial

Identifiers

PMID29614067
PMCPMC5882101
OpenAlexW2795910885

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.