Evidence map›Paper›PMID 37576509›Full record

ArticlePeerJ2023

Genetic and morphological diversity in populations of

Janine Conforte Fifonssi Donhouedé, Isabel Marques, Kolawolé Valère Salako, Achille Ephrem Assogbadjo, Natasha Ribeiro, Ana If Ribeiro-Barros

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Article in PeerJ, 2023. 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

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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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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. Article
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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

6 authors.

Janine Conforte Fifonssi DonhouedéLaboratoire d'Écologie Appliquée, Faculty of Agronomic Sciences, University of Abomey-Calavi, Cotonou, Benin.
Isabel MarquesForest Research Center (CEF), School of Agriculture, University of Lisbon, Lisbon, Portugal.
Kolawolé Valère SalakoLaboratoire de Biomathématiques et d'Estimations Forestières, Faculty of Agronomic Sciences, University of Abomey-Calavi, Cotonou, Bénin.
Achille Ephrem AssogbadjoLaboratoire d'Écologie Appliquée, Faculty of Agronomic Sciences, University of Abomey-Calavi, Cotonou, Benin.
Natasha RibeiroDepartment of Forest Engineering, Faculty of Agronomy and Forest Engineering, Eduardo Mondlane University, Maputo, Mozambique.
Ana If Ribeiro-BarrosForest Research Center (CEF), School of Agriculture, University of Lisbon, Lisbon, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding morpho-genetic diversity and differentiation of species with relatively large distributions is crucial for the conservation and sustainable management of their genetic resources. The present study focused on Methods: Four sub-populations comprised of 154 individuals were phenotyped based on nineteen plant, fruit, and leaf morphological traits and further genotyped using ten polymorphic nuclear microsatellite (nSSR) markers. Results: The results indicated strong differences in plant, fruit, and leaf morphological traits between Western and Southern populations. Furthermore, the studied populations were characterized by high genetic diversity, with an average genetic diversity index of 1.02. Western populations showed higher heterozygosity values (0.61-0.71) than Southern populations (0.41-0.49). Western and Southern populations were clearly differentiated into two different genetic groups, with further genetic subdivisions reflecting four sub-populations. Genetic variation between regions (populations) was higher (69.1%) than among (21.3%) and within (9.6%) sub-populations. Four distinct morphological clusters were obtained, which were strongly associated with the four genetic groups representing each sub-population. Climate, mainly precipitation and temperature indexes, explained the relatively higher variation found in morphological traits from Western (40.47%) in relation to Southern (27.98%) populations. Our study suggests that both environmental and genetic dynamics play an important role in the development of morphological variation in

Indexed as

AnnonaGenetic VariationBeninEcosystemHumansMozambiqueAnnona senegalensisBioclimatic variablesEnvironmentGenetic diversityMorphological diversityTropical plants

Identifiers

PMID37576509
PMCPMC10416773

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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.