Evidence map›Paper›PMID 30006536›Full record

ArticleScientific reports2018

Revealing the complex genetic structure of cultivated amaryllis (Hippeastrum hybridum) using transcriptome-derived microsatellite markers.

Yi Wang, Defeng Chen, Xiaofeng He, Jiangxian Shen, Min Xiong, Xian Wang, Di Zhou, Zunzheng Wei

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Yi WangBeijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture, Key Laboratory of Urban Agriculture, Ministry of Agriculture, Beijing Engineering Technology Research Center of Functional Floriculture, Beijing, 100097, China.
Defeng ChenBeijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture, Key Laboratory of Urban Agriculture, Ministry of Agriculture, Beijing Engineering Technology Research Center of Functional Floriculture, Beijing, 100097, China.
Xiaofeng HeBeijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture, Key Laboratory of Urban Agriculture, Ministry of Agriculture, Beijing Engineering Technology Research Center of Functional Floriculture, Beijing, 100097, China.
Jiangxian ShenBeijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture, Key Laboratory of Urban Agriculture, Ministry of Agriculture, Beijing Engineering Technology Research Center of Functional Floriculture, Beijing, 100097, China.
Min XiongBeijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture, Key Laboratory of Urban Agriculture, Ministry of Agriculture, Beijing Engineering Technology Research Center of Functional Floriculture, Beijing, 100097, China.
Xian WangBeijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture, Key Laboratory of Urban Agriculture, Ministry of Agriculture, Beijing Engineering Technology Research Center of Functional Floriculture, Beijing, 100097, China.
Di ZhouBeijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture, Key Laboratory of Urban Agriculture, Ministry of Agriculture, Beijing Engineering Technology Research Center of Functional Floriculture, Beijing, 100097, China. zhoudibvrc@163.com.
Zunzheng WeiBeijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture, Key Laboratory of Urban Agriculture, Ministry of Agriculture, Beijing Engineering Technology Research Center of Functional Floriculture, Beijing, 100097, China. weizunzheng@163.com.
Beijing Academy of Agricultural and Forestry Sciences · CNChina Agricultural University · CNGuiyang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although amaryllis (Hippeastrum hybridum) plants are commonly used in physiological and ecological research, the extent of their genomic and genetic resources remains limited. The development of molecular markers is therefore of great importance to accelerate genetic improvements in Hippeastrum species. In this study, a total of 269 unique genes were defined that might regulate the flower spathe development of amaryllis. In addition, 2000 simple sequence repeats (SSRs) were detected based on 171,462 de novo assembled unigenes from transcriptome data, and 66,4091 single nucleotide polymorphisms (SNPs) were also detected as putative molecular markers. Twenty-one SSR markers were screened to evaluate the genetic diversity and population structure of 104 amaryllis accessions. A total of 98 SSR loci were amplified for all accessions. The results reveal that Nei's gene diversity (H) values of these markers ranged between 0.055 and 0.394, whereas the average values of Shannon's Information index (I) ranged between 0.172 and 0.567. Genetic tree analysis further demonstrates that all accessions can be grouped into three main clusters, which can be further divided into two subgroups. STRUCTURE-based analysis revealed that the highest ΔK values were observed when K = 5, K = 6, K = 7 and K = 8. The results of this study enable large-scale transcriptomics and classification of Hippeastrum genetic polymorphisms and will be useful in the future for resource conservation and production.

Indexed as

PhylogenyAmaryllidaceaeChromosome MappingGardensGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantGenetic VariationMicrosatellite RepeatsPolymorphism, GeneticSequence Analysis, DNATranscriptome

Identifiers

PMID30006536
PMCPMC6045658
OpenAlexW2818726168

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.