Evidence map›Paper›PMID 31802202›Full record

ArticleCurrent microbiology2020

A Novel PCR-Based Approach for Rapid Identification of Morchella sextelata Using Species-Specific Primers.

Qianhui Shen, Chunhong Li, Meixia Xie, Wenjia Li, Zhengming Qian, Ji Zhang

Abstract read
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In one paragraph

Article in Current microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

6 authors.

Qianhui ShenInstitute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, 510631, Guangdong, China.
Chunhong LiKey Laboratory of State Administration of Traditional Chinese Medicine, Sunshine Lake Pharma Co., LTD, Dongguan, 523850, Guangdong, China.
Meixia XieKey Laboratory of State Administration of Traditional Chinese Medicine, Sunshine Lake Pharma Co., LTD, Dongguan, 523850, Guangdong, China.
Wenjia LiKey Laboratory of State Administration of Traditional Chinese Medicine, Sunshine Lake Pharma Co., LTD, Dongguan, 523850, Guangdong, China.
Zhengming QianKey Laboratory of State Administration of Traditional Chinese Medicine, Sunshine Lake Pharma Co., LTD, Dongguan, 523850, Guangdong, China. qianzhengming1982@126.com.
Ji ZhangInstitute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, 510631, Guangdong, China. zhangji@hec.cn.

Funding

the promotion and protection project of Chinese herbal medicine of 2015 by MIIT 2017020
6 · The paper itself

Abstract

Morels are precious and rare edible mushroom, which contain 61 species. It is difficult to identify the species of morels based on morphological characteristics. In recent years, morels cultivation technology has made great progress, Morchella sextelata has been cultivated in China widely. In this study, a PCR-based approach was developed for identification of Morchella sextelata, based on a 190-bp segment of internal transcribed spacer (ITS). The species-specific primer, MS1F/MS1R, was designed based on the alignment of sequence obtained from the 20 representative cultivated body fruit of Morchella sextelata as well as 10 sequence data available in Genbank. Verifying the species-specific primer pair demonstrated generation of an amplicon from extracted DNA of Morchella sextelata. The primer pair was also applied and tested for five other species of morels and eight common mushrooms from other genus. This novel PCR assay allowed a rapid and effective quality evaluation of Morchella sextelata.

Indexed as

AscomycotaChinaDNA, FungalDNA, IntergenicDNA PrimersPhylogenyPolymerase Chain ReactionSequence Analysis, DNASpecies SpecificityDNA, FungalDNA, IntergenicDNA Primers

Identifiers

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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.