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      Ethylene‐responsive factor 4 is associated with the desirable rind hardness trait conferring cracking resistance in fresh fruits of watermelon

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          Summary

          Fruit rind plays a pivotal role in alleviating water loss and disease and particularly in cracking resistance as well as the transportability, storability and shelf‐life quality of the fruit. High susceptibility to cracking due to low rind hardness is largely responsible for severe annual yield losses of fresh fruits such as watermelon in the field and during the postharvest process. However, the candidate gene controlling the rind hardness phenotype remains unclear to date. Herein, we report, for the first time, an ethylene‐responsive transcription factor 4 ( ClERF4) associated with variation in rind hardness via a combinatory genetic map with bulk segregant analysis (BSA). Strikingly, our fine‐mapping approach revealed an InDel of 11 bp and a neighbouring SNP in the ClERF4 gene on chromosome 10, conferring cracking resistance in F 2 populations with variable rind hardness. Furthermore, the concomitant kompetitive/competitive allele‐specific PCR (KASP) genotyping data sets of 104 germplasm accessions strongly supported candidate ClERF4 as a causative gene associated with fruit rind hardness variability. In conclusion, our results provide new insight into the underlying mechanism controlling rind hardness, a desirable trait in fresh fruit. Moreover, the findings will further enable the molecular improvement of fruit cracking resistance in watermelon via precisely targeting the causative gene relevant to rind hardness, ClERF4.

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          Genome-wide analysis of the ERF gene family in Arabidopsis and rice.

          Genes in the ERF family encode transcriptional regulators with a variety of functions involved in the developmental and physiological processes in plants. In this study, a comprehensive computational analysis identified 122 and 139 ERF family genes in Arabidopsis (Arabidopsis thaliana) and rice (Oryza sativa L. subsp. japonica), respectively. A complete overview of this gene family in Arabidopsis is presented, including the gene structures, phylogeny, chromosome locations, and conserved motifs. In addition, a comparative analysis between these genes in Arabidopsis and rice was performed. As a result of these analyses, the ERF families in Arabidopsis and rice were divided into 12 and 15 groups, respectively, and several of these groups were further divided into subgroups. Based on the observation that 11 of these groups were present in both Arabidopsis and rice, it was concluded that the major functional diversification within the ERF family predated the monocot/dicot divergence. In contrast, some groups/subgroups are species specific. We discuss the relationship between the structure and function of the ERF family proteins based on these results and published information. It was further concluded that the expansion of the ERF family in plants might have been due to chromosomal/segmental duplication and tandem duplication, as well as more ancient transposition and homing. These results will be useful for future functional analyses of the ERF family genes.
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            QTL-seq: rapid mapping of quantitative trait loci in rice by whole genome resequencing of DNA from two bulked populations.

            The majority of agronomically important crop traits are quantitative, meaning that they are controlled by multiple genes each with a small effect (quantitative trait loci, QTLs). Mapping and isolation of QTLs is important for efficient crop breeding by marker-assisted selection (MAS) and for a better understanding of the molecular mechanisms underlying the traits. However, since it requires the development and selection of DNA markers for linkage analysis, QTL analysis has been time-consuming and labor-intensive. Here we report the rapid identification of plant QTLs by whole-genome resequencing of DNAs from two populations each composed of 20-50 individuals showing extreme opposite trait values for a given phenotype in a segregating progeny. We propose to name this approach QTL-seq as applied to plant species. We applied QTL-seq to rice recombinant inbred lines and F2 populations and successfully identified QTLs for important agronomic traits, such as partial resistance to the fungal rice blast disease and seedling vigor. Simulation study showed that QTL-seq is able to detect QTLs over wide ranges of experimental variables, and the method can be generally applied in population genomics studies to rapidly identify genomic regions that underwent artificial or natural selective sweeps. © 2013 The Authors The Plant Journal © 2013 Blackwell Publishing Ltd.
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              FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool

              Abstract Summary FQC is software that facilitates quality control of FASTQ files by carrying out a QC protocol using FastQC, parsing results, and aggregating quality metrics into an interactive dashboard designed to richly summarize individual sequencing runs. The dashboard groups samples in dropdowns for navigation among the data sets, utilizes human-readable configuration files to manipulate the pages and tabs, and is extensible with CSV data. Availability and implementation FQC is implemented in Python 3 and Javascript, and is maintained under an MIT license. Documentation and source code is available at: https://github.com/pnnl/fqc. Contact joseph.brown@pnnl.gov
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                Author and article information

                Contributors
                mfzhang@zju.edu.cn
                Journal
                Plant Biotechnol J
                Plant Biotechnol. J
                10.1111/(ISSN)1467-7652
                PBI
                Plant Biotechnology Journal
                John Wiley and Sons Inc. (Hoboken )
                1467-7644
                1467-7652
                06 November 2019
                April 2020
                : 18
                : 4 ( doiID: 10.1111/pbi.v18.4 )
                : 1066-1077
                Affiliations
                [ 1 ] Laboratory of Germplasm Innovation and Molecular Breeding Institute of Vegetable Science Zhejiang University Hangzhou China
                [ 2 ] Key laboratory of Horticultural Plant growth Development and Quality Improvement Ministry of Agriculture Hangzhou China
                Author notes
                [*] [* ] Correspondence (Tel +86‐571‐88982123; fax +86‐571‐88982692; email mfzhang@ 123456zju.edu.cn )

                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-0686-8882
                https://orcid.org/0000-0002-9248-0712
                Article
                PBI13276
                10.1111/pbi.13276
                7061880
                31610078
                13498c04-0a1e-4db8-9516-9cd76ce2d9cb
                © 2019 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 04 June 2019
                : 26 September 2019
                : 06 October 2019
                Page count
                Figures: 6, Tables: 1, Pages: 12, Words: 8091
                Funding
                Funded by: National Natural Science Foundation of China , open-funder-registry 10.13039/501100011002;
                Award ID: 31372077
                Award ID: 31501782
                Award ID: 31672175
                Funded by: Zhejiang Provincial Natural Science Foundation of China
                Award ID: LQ16C150002
                Award ID: LQ16C150002
                Funded by: China Agriculture Research System
                Award ID: CARS‐25‐17
                Funded by: Fundamental Research Funds for the Central Universities
                Award ID: 2017QNA6016
                Funded by: Key Science and Technology Program of Zhejiang Province
                Award ID: 2016C02051‐4‐1
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                April 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.7 mode:remove_FC converted:09.03.2020

                Biotechnology
                watermelon,fresh fruit,rind hardness,bulk segregant analysis,genetic map,fine mapping,cracking resistance,clerf4

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