ArticleDatabase : the journal of biological databases and curation2023
PearMODB: a multiomics database for pear (Pyrus) genomics, genetics and breeding study.
Article in Database : the journal of biological databases and curation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Pan-Genome and Transcriptome-Guided Analysis Reveals Duplication-Driven Evolution and Candidate MYB-bHLH Modules Associated with Fruit Development in Pear.Plants (Basel, Switzerland) · 2026Article
- Article
- Functional characterization of COMT genes in Chinese white pear (Frontiers in plant science · 2025Article
- Article
- Haplotype-resolved T2T genome assemblies and pangenome graph of pear reveal diverse patterns of allele-specific expression and the genomic basis of fruit quality traits.Plant communications · 2024Article
- Exogenous GAInternational journal of molecular sciences · 2024Article
- Comparative analysis of POD genes and their expression under multiple hormones in Pyrus bretschenedri.BMC genomic data · 2024Article
- Primary metabolomics and transcriptomic techniques were used to explore the regulatory mechanisms that may influence the flavor characteristics of freshFrontiers in plant science · 2024Article
- Genome-wide identification, comparative analysis and functional roles in flavonoid biosynthesis of cytochrome P450 superfamily in pear (Pyrus spp.).BMC genomic data · 2023Article
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
Abstract
Pear (Pyrus ssp.) belongs to Rosaceae and is an important fruit tree widely cultivated around the world. Currently, challenges to cope with the burgeoning sets of multiomics data are rapidly increasing. Here, we constructed the Pear Multiomics Database (PearMODB) by integrating genome, transcriptome, epigenome and population variation data, and aimed to provide a portal for accessing and analyzing pear multiomics data. A variety of online tools were built including gene search, BLAST, JBrowse, expression heatmap, synteny analysis and primer design. The information of DNA methylation sites and single-nucleotide polymorphisms can be retrieved through the custom JBrowse, providing an opportunity to explore the genetic polymorphisms linked to phenotype variation. Moreover, different gene families involving transcription factors, transcription regulators and disease resistance (nucleotide-binding site leucine-rich repeat) were identified and compiled for quick search. In particular, biosynthetic gene clusters (BGCs) were identified in pear genomes, and specialized webpages were set up to show detailed information of BGCs, laying a foundation for studying metabolic diversity among different pear varieties. Overall, PearMODB provides an important platform for pear genomics, genetics and breeding studies. Database URL http://pearomics.njau.edu.cn.
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Registered trials
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