Evidence map›Paper›PMID 30783736›Full record

ArticlePlant cell reports2019

Development of methods for effective identification of CRISPR/Cas9-induced indels in rice.

Sukumar Biswas, Rong Li, Zheng Yuan, Dabing Zhang, Xiangxiang Zhao, Jianxin Shi

Abstract read
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In one paragraph

Article in Plant cell reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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 23% 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, 20 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Sukumar BiswasJoint International Research Laboratory of Metabolic and Developmental Sciences, Shanghai Jiao Tong University-University of Adelaide Joint Centre for Agriculture and Health, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Rong LiJoint International Research Laboratory of Metabolic and Developmental Sciences, Shanghai Jiao Tong University-University of Adelaide Joint Centre for Agriculture and Health, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Zheng YuanJoint International Research Laboratory of Metabolic and Developmental Sciences, Shanghai Jiao Tong University-University of Adelaide Joint Centre for Agriculture and Health, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Dabing ZhangJoint International Research Laboratory of Metabolic and Developmental Sciences, Shanghai Jiao Tong University-University of Adelaide Joint Centre for Agriculture and Health, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Xiangxiang ZhaoKey Laboratory of Crop Marker-Assisted Breeding of Huaian Municipality, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environmental Protection, Huaian, 223300, China. xxzhao2013@163.com.
Jianxin ShiJoint International Research Laboratory of Metabolic and Developmental Sciences, Shanghai Jiao Tong University-University of Adelaide Joint Centre for Agriculture and Health, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China. jianxin.shi@sjtu.edu.cn.
Shanghai Jiao Tong University · CN

Funding

Programme of Introducing Talents of Discipline to Universities() B14016Special Fund for Agro-scientific Research in the Public Interest 2018ZX08012-002
6 · The paper itself

Abstract

key messageTwo methods, PCR and amplicon labeling based, were developed and successfully applied to reliably detect CRISPR/Cas9 induced indels in rice. The use of CRISPR/Cas9 has emerged as a powerful nuclease-based genome editing tool in several model organisms including plants for mutagenesis by inducing precise gene editing through efficient double strand DNA breaks (DSBs) at the target site and subsequent error-prone non-homologous end joining (NHEJ) repair, leading to indel mutations. Different molecular methods including enzymatic mismatch cleavage (EMC), high-resolution melting curve analysis (HRMA) and conventional polymerase chain reaction (PCR) combined with ligation detection reaction (LDR) have been developed to quick identify CRISPR/Cas9 induced mutations. However, their intrinsic drawbacks limit their application in the identification of indel mutants in plants. Here we present two methods (one simple PCR based and the other amplicon labeling based) for effective and sensitive detection of CRISPR/Cas9 induced indels in rice. In PCR-based method, targets were amplified using two pairs of primers for each target locus and visualized on gel electrophoresis, while in amplicon labeling-based method, targets were amplified using tri-primers (with one a universal 6-FAM 5'-labelled) and detected by DNA capillary electrophoresis. Both methods can accurately define indel sizes down to ± 1 bp, and are amenable for high throughput analysis, therefore, will significantly facilitate the identification of indel mutants generated by CRISPR/Cas9 for further functional analysis and breeding in rice and other plants.

Indexed as

CRISPR-Cas SystemsDNA Breaks, Double-StrandedGene EditingINDEL MutationOryzaAmplicon labelingCRISPR/Cas9Indel mutationInner/Outer primer pairTri-primers

Identifiers

PMID30783736
OpenAlexW2917778527

What OpenQuestion holds

Textmetadata
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.