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Fine Mapping of a Gene (ER4.1) that Causes Epidermal Reticulation of Tomato Fruit and Characterization of the Associated Transcriptome

Overview of attention for article published in Frontiers in Plant Science, July 2017
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Title
Fine Mapping of a Gene (ER4.1) that Causes Epidermal Reticulation of Tomato Fruit and Characterization of the Associated Transcriptome
Published in
Frontiers in Plant Science, July 2017
DOI 10.3389/fpls.2017.01254
Pubmed ID
Authors

Lipeng Cui, Zhengkun Qiu, Zhirong Wang, Jianchang Gao, Yanmei Guo, Zejun Huang, Yongchen Du, Xiaoxuan Wang

Abstract

The hydrophobic cuticle that covers the surface of tomato (Solanum lycopersicum) fruit plays key roles in development and protection against biotic and abiotic stresses, including water loss, mechanical damage, UV radiation, pathogens, and pests. However, many details of the genes and regulatory mechanisms involved in cuticle biosynthesis in fleshy fruits are not well understood. In this study, we describe a novel tomato fruit phenotype, characterized by epidermal reticulation (ER) of green fruit and a higher water loss rate than wild type (WT) fruit. The ER phenotype is controlled by a single gene, ER4.1, derived from an introgressed chromosomal segment from the wild tomato species S. pennellii (LA0716). We performed fine mapping of the single dominant gene to an ~300 kb region and identified Solyc04g082540, Solyc04g082950, Solyc04g082630, and Solyc04g082910as potential candidate genes for the ER4.1 locus, based on comparative RNA-seq analysis of ER and WT fruit peels. In addition, the transcriptome analysis revealed that the expression levels of genes involved in cutin, wax and flavonoid biosynthesis were altered in the ER fruit compared with WT. This study provides new insights into the regulatory mechanisms and metabolism of the fruit cuticle.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Master 5 17%
Student > Ph. D. Student 2 7%
Student > Doctoral Student 2 7%
Unspecified 2 7%
Other 0 0%
Unknown 12 41%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 38%
Unspecified 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Computer Science 1 3%
Engineering 1 3%
Other 0 0%
Unknown 13 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 August 2017.
All research outputs
#20,442,790
of 22,997,544 outputs
Outputs from Frontiers in Plant Science
#16,372
of 20,481 outputs
Outputs of similar age
#276,794
of 317,090 outputs
Outputs of similar age from Frontiers in Plant Science
#453
of 512 outputs
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