Evidence map›Paper›PMID 26377667›Full record

ArticleBMC plant biology2015

Effects of population structure on pollen flow, clonality rates and reproductive success in fragmented Serapias lingua populations.

Giuseppe Pellegrino, Francesca Bellusci, Anna Maria Palermo

Abstract read
In one paragraph

Article in BMC plant biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Pollination mechanism inAoB PLANTS · 2023
    Article
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  6. Article
  7. 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

3 authors.

Giuseppe PellegrinoDept. of Biology, Ecology and Earth Sciences, University of Calabria, I-87036, Rende, (CS), Italy. giuseppe.pellegrino@unical.it.
Francesca BellusciDept. of Biology, Ecology and Earth Sciences, University of Calabria, I-87036, Rende, (CS), Italy. francescabellusci@libero.it.
Anna Maria PalermoDept. of Biology, Ecology and Earth Sciences, University of Calabria, I-87036, Rende, (CS), Italy. anna_maria.palermo@unical.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFragmentation of habitats by roads, railroads, fields, buildings and other human activities can affect population size, pollination success, sexual and asexual reproduction specially in plants showing pollinator limitation, such as Mediterranean orchids. In this study, we assessed pollen flow, selfing rates, vegetative reproduction and female reproductive success and their correlations with habitat characters in nine fragmented subpopulations of Serapias lingua. To improve understanding of population structure effects on plant biology, we examined genetic differentiation among populations, pollen flow, selfing rates and clonal reproduction using nuclear microsatellite markers.

resultsSmaller populations showed a significant heterozygote deficit occurred at all five nuclear microsatellite loci, the coefficient of genetic differentiation among populations was 0.053 and pairwise FST was significantly correlated with the geographical distance between populations. Paternity analysis of seeds showed that most pollen flow occurred within a population and there was a positive correlation between percentage of received pollen and distance between populations. The fruit production rate varied between 5.10 % and 20.30 % and increased with increasing population size, while the percentage of viable seeds (78-85 %) did not differ significantly among populations. The extent of clonality together with the clonal and sexual reproductive strategies varied greatly among the nine populations and correlated with the habitats where they occur. The small, isolated populations tended to have high clonal diversity and low fruit production, whereas the large populations with little disturbance were prone to have reductions in clonal growth and increased sexual reproduction.

conclusionsWe found that clonality offers an advantage in small and isolated populations of S. lingua, where clones may have a greater ability to persist than sexually reproducing individuals.

Indexed as

Gene FlowPollinationEcosystemItalyMicrosatellite RepeatsOrchidaceaeReproduction

Identifiers

PMID26377667
PMCPMC4573484

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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.