Evidence map›Paper›PMID 29045531›Full record

ArticleAnnals of botany2017

Phylogenetic and functional signals in gymnosperm ovular secretions.

Massimo Nepi, Stefan Little, Massimo Guarnieri, Daniele Nocentini, Natalie Prior, Julia Gill, P Barry Tomlinson, Stefanie M Ickert-Bond, Cary Pirone, Ettore Pacini and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Annals of botany, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 29 citations in OpenAlex.

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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

11 authors at 5 institutions in 4 countries.

Massimo NepiDepartment of Life Sciences, University of Siena, Via P.A. Mattioli 4, 53100 Siena, Italy.
Stefan LittleCentre for Forest Biology, Department of Biology, University of Victoria, Victoria, BC V8W 3N2, Canada.
Massimo GuarnieriDepartment of Life Sciences, University of Siena, Via P.A. Mattioli 4, 53100 Siena, Italy.
Daniele NocentiniDepartment of Life Sciences, University of Siena, Via P.A. Mattioli 4, 53100 Siena, Italy.
Natalie PriorCentre for Forest Biology, Department of Biology, University of Victoria, Victoria, BC V8W 3N2, Canada.
Julia GillCentre for Forest Biology, Department of Biology, University of Victoria, Victoria, BC V8W 3N2, Canada.
P Barry TomlinsonMontgomery Botanical Centre, 11901 Old Cutler Road, Coral Gables, FL 33156, USA.
Stefanie M Ickert-BondUA Museum of the North and Department of Biology and Wildlife, University of Alaska Fairbanks, 907 Yukon Dr., Fairbanks, AK 99775, USA.
Cary PironeThe Arnold Arboretum of Harvard University, 125 Arborway, Boston, MA 02130-3500, USA.
Ettore PaciniDepartment of Life Sciences, University of Siena, Via P.A. Mattioli 4, 53100 Siena, Italy.
Patrick von AderkasCentre for Forest Biology, Department of Biology, University of Victoria, Victoria, BC V8W 3N2, Canada.
University of Siena · ITUniversity of Victoria · CAHarvard University · USMontgomery Botanical Center · USUniversity of Alaska Fairbanks · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsGymnosperms are either wind-pollinated (anemophilous) or both wind- and insect-pollinated (ambophilous). Regardless of pollination mode, ovular secretions play a key role in pollen capture, germination and growth; they are likely also involved in pollinator reward. Little is known about the broad-scale diversity of ovular secretions across gymnosperms, and how these may relate to various reproductive functions. This study analyses the sugar and amino acid profiles of ovular secretions across a range of ambophilous (cycads and Gnetales) and anemophilous gymnosperms (conifers) to place them in an evolutionary context of their possible functions during reproduction.

methodsOvular secretions from 13 species representing all five main lineages of extant gymnosperms were sampled. High-performance liquid chromatography techniques were used to measure sugar and amino acid content. Multivariate statistics were applied to assess whether there are significant differences in the chemical profiles of anemophilous and ambophilous species. Data were compared with published chemical profiles of angiosperm nectar. Chemical profiles were placed in the context of phylogenetic relationships. KEY

resultsTotal sugar concentrations were significantly higher in ovular secretions of ambophilous species than wind-pollinated taxa such as Pinaceae and Cupressophyta. Ambophilous species had lower amounts of total amino acids, and a higher proportion of non-protein amino acids compared with anemophilous lineages, and were also comparable to angiosperm nectar. Results suggest that early gymnosperms likely had ovular secretion profiles that were a mosaic of those associated with modern anemophilous and ambophilous species. Ginkgo, thought to be anemophilous, had a profile typical of ambophilous taxa, suggesting that insect pollination either exists in Gingko, but is undocumented, or that its ancestral populations were insect-pollinated.

conclusionsChemical profiles of ovular secretions of ambophilous gymnosperms show a clear signal of pollinator-driven selection, including higher levels of carbohydrates than anemophilous taxa, lower levels of amino acids, and the presence of specific amino acids, such as β-alanine, that are known to influence insect feeding behaviour and physiology.

Indexed as

PollinationAmino AcidsAnimalsCycadopsidaInsectaOvulePhylogenySugarsWindAmino AcidsSugarsAmino acidsfloral nectarGinkgogymnospermsovular secretionspollinationsugars

Identifiers

PMID29045531
PMCPMC5710648
OpenAlexW2766717258

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.