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Pan-transcriptome analysis provides insights into resistance and fruit quality breeding of pear(Pyrus pyrifolia)

Congrui Sun Runze Wang Jiaming Li Xiaolong Li Bobo Song David Edwards Jun Wu

农业科学学报（英文）2025，Vol.24Issue(5)：1813-1830,18.

农业科学学报（英文）2025，Vol.24Issue(5)：1813-1830,18.DOI:10.1016/j.jia.2024.11.026

Pan-transcriptome analysis provides insights into resistance and fruit quality breeding of pear(Pyrus pyrifolia)

Congrui Sun ¹Runze Wang ²Jiaming Li ¹Xiaolong Li ³Bobo Song ¹David Edwards ⁴Jun Wu¹

作者信息

1. College of Horticulture,State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization,Nanjing Agricultural University,Nanjing 210095,China||Zhongshan Biological Breeding Laboratory,Nanjing 210014,China
2. College of Horticulture,State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization,Nanjing Agricultural University,Nanjing 210095,China||School of Horticulture,Anhui Agricultural University,Hefei 230036,China
3. Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetables of Ministry of Agriculture and Rural Affairs,College of Horticulture Science,Zhejiang A&F University,Hangzhou 311300,China
4. Centre for Applied Bioinformatics and Institute of Agriculture,The University of Western Australia,Crawley,WA 6009,Australia
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摘要

关键词

pear/pan-transcriptome/ePAVs/disease resistance/fruit quality/co-expression network

Key words

pear/pan-transcriptome/ePAVs/disease resistance/fruit quality/co-expression network

引用本文复制引用

Congrui Sun,Runze Wang,Jiaming Li,Xiaolong Li,Bobo Song,David Edwards,Jun Wu..Pan-transcriptome analysis provides insights into resistance and fruit quality breeding of pear(Pyrus pyrifolia)[J].农业科学学报（英文）,2025,24(5):1813-1830,18.

基金项目

This work was supported by the National Science Foundation of China(32230097),the National Key Research and Development Program of China(2022YFD1200503),the earmarked fund for China Agriculture Research System(CARS-28),the earmarked fund for Jiangsu Agricultural Industry Technology System(JATS[2023]412),and the Natural Science Foundation of Jiangsu Province for Young Scholar,China(BK20221010).We are grateful for the high-performance computing platforms provided by the Bioinformatics Center,Nanjing Agricultural University,China.We also acknowledge the support of resources provided by the Pawsey Supercomputing Research Centre,which is funded by the Australian Government and the Government of Western Australia. （32230097）

农业科学学报（英文）

ISSN：2095-3119

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