Evidence map›Paper›PMID 27147931›Full record

ArticleThe plant pathology journal2016

Optimization of a Virus-Induced Gene Silencing System with Soybean yellow common mosaic virus for Gene Function Studies in Soybeans.

Kil Hyun Kim, Seungmo Lim, Yang Jae Kang, Min Young Yoon, Moon Nam, Tae Hwan Jun, Min-Jung Seo, Seong-Bum Baek, Jeom-Ho Lee, Jung-Kyung Moon and 5 more

Open access · goldAbstract read
In one paragraph

Article in The plant pathology journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 23 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

15 authors at 6 institutions in 1 country.

Kil Hyun KimNational Institute of Crop Science, Rural Development Administration, Suwon 441-707, Korea.
Seungmo LimPlant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea; Biosystems and Bioengineering Program, University of Science and Technology, Daejeon 305-350, Korea.
Yang Jae KangDepartment of Plant Science and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 151-921, Korea.
Min Young YoonDepartment of Plant Science and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 151-921, Korea.
Moon NamSchool of Applied Biosciences, Kyungpook National University, Daegu 702-701, Korea.
Tae Hwan JunDepartment of Plant Bioscience, College of Natural Resources & Life Science, Pusan National University, Pusan 627-706, Korea.
Min-Jung SeoNational Institute of Crop Science, Rural Development Administration, Suwon 441-707, Korea.
Seong-Bum BaekNational Institute of Crop Science, Rural Development Administration, Suwon 441-707, Korea.
Jeom-Ho LeeNational Institute of Crop Science, Rural Development Administration, Suwon 441-707, Korea.
Jung-Kyung MoonNational Institute of Crop Science, Rural Development Administration, Suwon 441-707, Korea.
Suk-Ha LeeDepartment of Plant Science and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 151-921, Korea.
Su-Heon LeeSchool of Applied Biosciences, Kyungpook National University, Daegu 702-701, Korea.
Hyoun-Sub LimDepartment of Applied Biology, Chungnam National University, Daejeon 305-764, Korea.
Jae Sun MoonPlant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea; Biosystems and Bioengineering Program, University of Science and Technology, Daejeon 305-350, Korea.
Chang-Hwan ParkNational Institute of Crop Science, Rural Development Administration, Suwon 441-707, Korea.
Rural Development Administration · KRSeoul National University · KRKyungpook National University · KRChungnam National University · KRKorea Research Institute of Bioscience and Biotechnology · KRPusan National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virus-induced gene silencing (VIGS) is an effective tool for the study of soybean gene function. Successful VIGS depends on the interaction between virus spread and plant growth, which can be influenced by environmental conditions. Recently, we developed a new VIGS system derived from the Soybean yellow common mosaic virus (SYCMV). Here, we investigated several environmental and developmental factors to improve the efficiency of a SYCMV-based VIGS system to optimize the functional analysis of the soybean. Following SYCMV: Glycine max-phytoene desaturase (GmPDS) infiltration, we investigated the effect of photoperiod, inoculation time, concentration of Agrobacterium inoculm, and growth temperature on VIGS efficiency. In addition, the relative expression of GmPDS between non-silenced and silenced plants was measured by qRT-PCR. We found that gene silencing efficiency was highest at a photoperiod of 16/8 h (light/dark) at a growth temperature of approximately 27°C following syringe infiltration to unrolled unifoliolate leaves in cotyledon stage with a final SYCMV:GmPDS optimal density (OD)600 of 2.0. Using this optimized protocol, we achieved high efficiency of GmPDS-silencing in various soybean germplasms including cultivated and wild soybeans. We also confirmed that VIGS occurred in the entire plant, including the root, stem, leaves, and flowers, and could transmit GmPDS to other soybean germplasms via mechanical inoculation. This optimized protocol using a SYCMV-based VIGS system in the soybean should provide a fast and effective method to elucidate gene functions and for use in large-scale screening experiments.

Indexed as

GmPDSoptimal conditionsoybeanSYCMVVIGS

Identifiers

PMID27147931
PMCPMC4853101
OpenAlexW2345719108

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.