Evidence map›Paper›PMID 34868131›Full record

ArticleFrontiers in plant science2021

Identification and Validation of a Core Single-Nucleotide Polymorphism Marker Set for Genetic Diversity Assessment, Fingerprinting Identification, and Core Collection Development in Bottle Gourd.

Ying Wang, Xiaohua Wu, Yanwei Li, Zishan Feng, Zihan Mu, Jiang Wang, Xinyi Wu, Baogen Wang, Zhongfu Lu, Guojing Li

Abstract read
In one paragraph

Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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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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

13 citing papers in PubMed.

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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

10 authors.

Ying WangInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Xiaohua WuInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Yanwei LiInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Zishan FengInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Zihan MuInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Jiang WangInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Xinyi WuInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Baogen WangInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Zhongfu LuInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Guojing LiInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Germplasm collections are indispensable resources for the mining of important genes and variety improvement. To preserve and utilize germplasm collections in bottle gourd, we identified and validated a highly informative core single-nucleotide polymorphism (SNP) marker set from 1,100 SNPs. This marker set consisted of 22 uniformly distributed core SNPs with abundant polymorphisms, which were established to have strong representativeness and discriminatory power based on analyses of 206 bottle gourd germplasm collections and a multiparent advanced generation inter-cross (MAGIC) population. The core SNP markers were used to assess genetic diversity and population structure, and to fingerprint important accessions, which could provide an optimized procedure for seed authentication. Furthermore, using the core SNP marker set, we developed an accessible core population of 150 accessions that represents 100% of the genetic variation in bottle gourds. This core population will make an important contribution to the preservation and utilization of bottle gourd germplasm collections, cultivar identification, and marker-assisted breeding.

Indexed as

bottle gourdcore populationfingerprintgermplasm collectionsSNP

Identifiers

PMID34868131
PMCPMC8636714

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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.