Evidence map›Paper›PMID 33897815›Full record

ArticleEvolutionary applications2021

Diallelic self-incompatibility is the main determinant of fertilization patterns in olive orchards.

Roberto Mariotti, Saverio Pandolfi, Isabelle De Cauwer, Pierre Saumitou-Laprade, Philippe Vernet, Martina Rossi, Federica Baglivo, Luciana Baldoni, Soraya Mousavi

Abstract read
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Article in Evolutionary applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

9 authors.

Roberto MariottiInstitute of Biosciences and Bioresources CNR Perugia Italy.ORCID https://orcid.org/0000-0002-9111-5123
Saverio PandolfiInstitute of Biosciences and Bioresources CNR Perugia Italy.
Isabelle De CauwerCNRS UMR 8198 - Evo-Eco-Paleo Univ. Lille Lille France.
Pierre Saumitou-LapradeCNRS UMR 8198 - Evo-Eco-Paleo Univ. Lille Lille France.ORCID https://orcid.org/0000-0001-7413-3090
Philippe VernetCNRS UMR 8198 - Evo-Eco-Paleo Univ. Lille Lille France.
Martina RossiInstitute of Biosciences and Bioresources CNR Perugia Italy.
Federica BaglivoInstitute of Biosciences and Bioresources CNR Perugia Italy.
Luciana BaldoniInstitute of Biosciences and Bioresources CNR Perugia Italy.
Soraya MousaviInstitute of Biosciences and Bioresources CNR Perugia Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-incompatibility (SI) in flowering plants potentially represents a major obstacle for sexual reproduction, especially when the number of S-alleles is low. The situation is extreme in the commercially important olive tree, where in vitro pollination assays suggested the existence of a diallelic SI (DSI) system involving only two groups (G1 and G2). Varieties belonging to the same SI group cannot fertilize each other, such that successful fruit production is predicted to require pollination between varieties of different groups. To test this prediction, we explored the extent to which the DSI system determines fertilization patterns under field conditions. One hundred and seventeen olive cultivars were first genotyped using 10 highly polymorphic dinucleotide Simple Sequence Repeat (SSR) markers to ascertain varietal identity. Cultivars were then phenotyped through controlled pollination tests to assign each of them to one of the two SI groups. We then collected and genotyped 1440 open pollinated embryos from five different orchards constituted of seven local cultivars with known group of incompatibility groups. Embryos genotype information were used: (i) to assign embryos to the most likely pollen donor genotype in the neighbourhood using paternity analysis, and (ii) to compare the composition of the pollen cloud genetic among recipient trees in the five sites. The paternity analysis showed that the DSI system is the main determinant of fertilization success under field open pollination conditions: G1 cultivars sired seeds exclusively on G2 cultivars, and reciprocally. No self-fertilization events were observed. Our results demonstrate that DSI is a potent force determining pollination success among varieties within olive orchards used for production. They have the potential to improve management practices by guiding the selection of compatible varieties to avoid planting orchards containing sets of varieties with strongly unbalanced SI groups, as these would lead to suboptimal olive production.

Indexed as

incompatibilityolive cultivarspaternity analysispollen cloudpollen donorstigma test

Identifiers

PMID33897815
PMCPMC8061272

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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.