Evidence map›Paper›PMID 31069083›Full record

ArticleHorticulture research2019

Optimization and standardization of transient expression assays for gene functional analyses in strawberry fruits.

Yaoyao Zhao, Wenwen Mao, Yating Chen, Wei Wang, Zhengrong Dai, Zhechao Dou, Kai Zhang, Lingzhi Wei, Tianyu Li, Baozhen Zeng and 5 more

Abstract read
In one paragraph

Article in Horticulture research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  12. An LTR retrotransposon in the promoter of aHorticulture research · 2022
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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.

Yaoyao ZhaoCollege of Horticulture, China Agriculture University, Beijing, CN 100193 P.R. China.
Wenwen MaoCollege of Horticulture, China Agriculture University, Beijing, CN 100193 P.R. China.
Yating ChenCollege of Horticulture, China Agriculture University, Beijing, CN 100193 P.R. China.
Wei WangCollege of Horticulture, China Agriculture University, Beijing, CN 100193 P.R. China.
Zhengrong DaiCollege of Horticulture, China Agriculture University, Beijing, CN 100193 P.R. China.
Zhechao DouCollege of Horticulture, China Agriculture University, Beijing, CN 100193 P.R. China.
Kai ZhangCollege of Horticulture, China Agriculture University, Beijing, CN 100193 P.R. China.
Lingzhi WeiCollege of Horticulture, China Agriculture University, Beijing, CN 100193 P.R. China.
Tianyu LiCollege of Horticulture, China Agriculture University, Beijing, CN 100193 P.R. China.
Baozhen ZengCollege of Horticulture, China Agriculture University, Beijing, CN 100193 P.R. China.
Ting LiuCollege of Horticulture, China Agriculture University, Beijing, CN 100193 P.R. China.
Yijuan FanCollege of Horticulture, China Agriculture University, Beijing, CN 100193 P.R. China.
Jiaqi YanCollege of Horticulture, China Agriculture University, Beijing, CN 100193 P.R. China.
Bingbing LiCollege of Horticulture, China Agriculture University, Beijing, CN 100193 P.R. China.
Wensuo JiaCollege of Horticulture, China Agriculture University, Beijing, CN 100193 P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Strawberry is increasingly used as a model plant for research on fruit growth and development. The transient gene manipulation (TGM) technique is widely used to determine the function of plant genes, including those in strawberry fruits. However, its reliable application for the precise identification of gene function has been difficult owing to the lack of conditional optimization. In this study, we found that successful transient gene manipulation requires optimization, with the vector type, temperature, and fruit developmental stage being three major factors determining success. Notably, we found that transient gene manipulation was feasible only from the large green fruit stage onwards, making it especially suitable for identifying genes involved in strawberry fruit ripening. Furthermore, we established a method called percentage difference of phenotype (PDP), in which the functional effect of a gene could be precisely and efficiently identified in strawberry fruits. This method can be used to estimate the functional effect of a gene as a value from 0 to 100%, such that different genes can be quantitatively compared for their relative abilities to regulate fruit ripening. This study provides a useful tool for accelerating research on the molecular basis of strawberry fruit ripening.

Indexed as

Plant biotechnologyPlant sciences

Identifiers

PMID31069083
PMCPMC6491593

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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.