publication . Article . 2017

Mountain landscape connectivity and subspecies appurtenance shape genetic differentiation in natural plant populations of the snapdragon (Antirrhinum majus L.)

Benoit Pujol; Juliette Archambeau; Aurore Bontemps; Mylène Lascoste; Sara Marin; Alexandre Meunier;
Open Access
  • Published: 05 May 2017 Journal: Botany Letters, volume 164, pages 111-119 (issn: 2381-8107, eissn: 2381-8115, Copyright policy)
  • Publisher: Informa UK Limited
  • Country: France
Abstract
We carried out a population genetic study of 14 populations (692 plants characterised at 23 microsatellite loci) of the plant species Antirrhinum majus L. (Plantaginaceae) across its geographic range. Our results showed that A. majus populations are genetically differentiated and genetically diverse. We also found a small but statistically significant genetic differentiation between A. majus subspecies pseudomajus and striatum. Genetic diversity was higher in A. m. pseudomajus. Geographic distance and both latitudinal and longitudinal coordinates had no impact on genetic differentiation and diversity. We therefore did not find any signature of geographical range...
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Subjects
free text keywords: Plant Science, evolutionary ecology, genetic differentiation, landscape genetics, subspecies divergence, ecological barriers, [SDV]Life Sciences [q-bio], [SDV.EE]Life Sciences [q-bio]/Ecology, environment, [SDV.GEN]Life Sciences [q-bio]/Genetics, [SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], [SDV.BID]Life Sciences [q-bio]/Biodiversity, [SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE], Range (biology), Evolutionary biology, Ecology, Biology, Evolutionary ecology, Subspecies, Population, education.field_of_study, education, Antirrhinum majus, biology.organism_classification, Microsatellite, Genetic diversity, Reproductive isolation
Funded by
EC| ANGI
Project
ANGI
Adaptive significance of Non Genetic Inheritance
  • Funder: European Commission (EC)
  • Project Code: 681484
  • Funding stream: H2020 | ERC | ERC-COG
Validated by funder
,
ANR| CAPA
Project
CAPA
Predicting the ability of populations to adapt in function of their evolutionary history and their environmental background
  • Funder: French National Research Agency (ANR) (ANR)
  • Project Code: ANR-13-JSV7-0002
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