PICEAdatabase: a web database for Picea omics and phenotypic information-Reference-Cited by-同舟云学术

PICEAdatabase: a web database for Picea omics and phenotypic information

Published:2019-01-01 Issue: Volume:2019 Page:
ISSN:1758-0463
Container-title:Database
language:en
Short-container-title:

Author:

Lu Nan¹,Zhu Tianqing¹,Ouyang Fangqun¹,Xia Yan²,Li Qingfen¹,Jia Zirui¹,Hu Jiwen¹,Ling Juanjuan¹,Ma Wenjun¹,Yang Guijuan¹,Zhang Hanguo³,Kong Lisheng⁴,Wang Junhui¹

Affiliation:

1. State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, No.1 Dongxiaofu, Xiangshan Road, Beijing 100091, China

2. Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education, College of Horticulture and Landscape Architecture, Southwest University, No.2 Tiansheng Road, Chongqing 400715, China

3. State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, No.26 Hexing Road, Harbin 150040, China

4. Department of Biology, Centre for Forest Biology, University of Victoria, 3800 Finnerty Road, Victoria BC, V8P 5C2, Canada

Abstract

Abstract Picea belongs to the Pinaceae family and is a famous commercial tree species because of its straight trunk and excellent timber traits. Recently, omics have been widely used for fundamental and mechanism studies on Picea plants. To improve the accessibility to omics and phenotypic data and facilitate further studies, we compiled the sequences of 2 chloroplast genomes (Picea crassifolia and Picea asperata) and 32 complete omics data sets, including 20 transcriptomes, 4 proteomes, 2 degradomes and 6 microRNAs from P. crassifolia, P. asperata, Picea balfouriana and Picea abies tissues under different treatments, in PICEAdatabase. In addition, phenotypic data on plant growth and wood property traits were collected from two field trials of P. crassifolia. PICEAdatabase also includes useful analysis tools, such as BLAST, DESeq2 and JBrowse, to assist with analyses.

Funder

Thirteen Five-Year Plan for Key and Research Project of China

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

http://academic.oup.com/database/article-pdf/doi/10.1093/database/baz089/29163513/baz089.pdf

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