Evidence map›Paper›PMID 31641471›Full record

ArticleEcology and evolution2019

Multiscale spatial genetic structure within and between populations of wild cherry trees in nuclear genotypes and chloroplast haplotypes.

Teruyoshi Nagamitsu, Kato Shuri, Satoshi Kikuchi, Shinsuke Koike, Shoji Naoe, Takashi Masaki

Abstract read
In one paragraph

Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Teruyoshi NagamitsuHokkaido Research Center Forestry and Forest Products Research Institute Forest Research and Management Organization Sapporo Japan.ORCID https://orcid.org/0000-0003-3366-7197
Kato ShuriTama Forest Science Garden Forestry and Forest Products Research Institute Forest Research and Management Organization Hachioji Japan.
Satoshi KikuchiForestry and Forest Products Research Institute Forest Research and Management Organization Tsukuba Japan.
Shinsuke KoikeInstitute of Agriculture Tokyo University of Agriculture and Technology Fuchu Japan.
Shoji NaoeTohoku Research Center Forestry and Forest Products Research Institute Forest Research and Management Organization Morioka Japan.ORCID https://orcid.org/0000-0002-0605-4187
Takashi MasakiForestry and Forest Products Research Institute Forest Research and Management Organization Tsukuba Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial genetic structure (SGS) of plants mainly depends on the effective population size and gene dispersal. Maternally inherited loci are expected to have higher genetic differentiation between populations and more intensive SGS within populations than biparentally inherited loci because of smaller effective population sizes and fewer opportunities of gene dispersal in the maternally inherited loci. We investigated biparentally inherited nuclear genotypes and maternally inherited chloroplast haplotypes of microsatellites in 17 tree populations of three wild cherry species under different conditions of tree distribution and seed dispersal. As expected, interpopulation genetic differentiation was 6-9 times higher in chloroplast haplotypes than in nuclear genotypes. This difference indicated that pollen flow 4-7 times exceeded seed flow between populations. However, no difference between nuclear and chloroplast loci was detected in within-population SGS intensity due to their substantial variation among the populations. The SGS intensity tended to increase as trees became more aggregated, suggesting that tree aggregation biased pollen and seed dispersal distances toward shorter. The loss of effective seed dispersers, Asian black bears, did not affect the SGS intensity probably because of mitigation of the bear loss by other vertebrate dispersers and too few tree generations after the bear loss to alter SGS. The findings suggest that SGS is more variable in smaller spatial scales due to various ecological factors in local populations.

Indexed as

Cerasus jamasakuraCerasus leveilleanakinship coefficientmicrosatellitePadus grayanaseed dispersaltree distribution

Identifiers

PMID31641471
PMCPMC6802027

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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.