Evidence map›Paper›PMID 27934953›Full record

ArticleScientific reports2016

An analytical toolkit for polyploid willow discrimination.

Wei Guo, Jing Hou, Tongming Yin, Yingnan Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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

4 authors at 1 institution in 1 country.

Wei GuoCo-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.
Jing HouCo-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.
Tongming YinCo-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.
Yingnan ChenCo-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.
Nanjing Forestry University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyploid breeding is an important means for creating elite willow cultivars, and therefore provokes an active demand for discriminating the ploidy levels of natural willow stands. In this study, we established an analytical toolkit for polyploid willow identification by combining molecular markers and flow cytometry (FCM). A total of 10 single-copy fully informative SSRs were chosen for marker-aided selection based on a segregation test with a full-sib willow pedigree and a mutability test with a collection of natural willow stands. Aided by these molecular markers, we performed polyploid selection in two tree species and two shrub species of the genus Salix. The ploidy levels of the investigated samples were further examined using a flow cytometer. It was previously shown that results from marker-aided selection were consistent with those from FCM measurements. Based on ploidy level assessment in different willow species, it was found that tree willows were dominantly tetraploid, whereas shrub willows were most frequently diploid. With this analytical toolkit, polyploids can be rapidly screened from a large number of natural stands; thereafter, the exact ploidy levels of the polyploid candidates can be efficiently confirmed by FCM. This analytical toolkit will greatly enhance polyploid breeding programs for willows.

Indexed as

BreedingFlow CytometryGenetic MarkersPolyploidySalixTreesGenetic Markers

Identifiers

PMID27934953
PMCPMC5146657
OpenAlexW2560838278

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.