EventsThe 2nd International Electronic Conference on Horticulturae
Published
This submission belongs to the session S1. Genomics and Molecular Biology of the event The 2nd International Electronic Conference on Horticulturae
Published date
23 May, 2025
Academic Editor
author-avatarStefano Pavan
Citation
Rabiatul Adawiah Zainal Abidin, Hani Suraya Tajudin, Nurul Anis Najwa Khairul Anuar, Sanimah Simoh, Norliza Abu Bakar, PapayaNetBase: A knowledge-based digital platform to support papaya research and breeding, in Proceedings of The 2nd International Electronic Conference on Horticulturae, 27 May–29 May 2025, MDPI: Basel, Switzerland
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PapayaNetBase: A knowledge-based digital platform to support papaya research and breeding

Hani Suraya Tajudin 2
Nurul Anis Najwa Khairul Anuar 3
Sanimah Simoh 4
1. Biotechnology and Nanotechnology Research Centre, Malaysian Agricultural Research and Development Institute (MARDI), 43400 Serdang, Selangor, Malaysia, Malaysia
2. Bioinformatics Programme, Department of Biological Sciences & Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, Malaysia
3. OR Technologies Sdn Bhd, 55200 Kuala Lumpur, Malaysia, Malaysia
4. Malaysian Agricultural Research & Development Institute (MARDI), 43400 Serdang, Selangor, Malaysia
Abstract

Papaya (Carica papaya L.) is one of the most important tropical fruits cultivated in tropical climate countries, and its production is often threatened by abiotic and biotic stressors, which significantly affect the yield and quality of papaya. In recent years, papaya genomics resources have become available, which has promoted papaya research and breeding. However, no dedicated digital platform for papaya genomics resources has been developed for the research and breeding communities. Potential users such as papaya geneticists, breeders, and pathologists require genomics resources and easy-to-handle tools to support their decision-making in selecting suitable genes and molecular markers. To address this issue, we developed a papaya knowledge-based digital platform, PapayaNetBase. PapayaNetBase comprises three papaya genome data sets (Eksotika, Sekaki, and Sunset varieties), genomic variation, transcriptomes, and metabolites. PapayaNetBase web interface was developed using WordPress, while MySQL was used as a database management system (DBMS). The database functionalities include search query and filter functions that can be performed based on the SNP identifier (ID), gene ID, pathway, and variety name. The search results are displayed in table format. The output of the search results can be downloaded in text, comma-separated value (CSV), or Excel formats. Data in FASTA format (i.e., scaffold, transcript and protein sequences) can be retrieved via the ‘Downloads’ menu. We also developed a knowledge graph dashboard for papaya traits utilising the Neo4j platform (http://bit.ly/papayanetbaseV1) to facilitate the easy dissemination of these genomics resources. Using the PapayaNetBase knowledge graph, users can visualise papaya traits with integrated genomics information, such as gene description, a protein–protein interaction network, gene ontology, and pathway. To our knowledge, this is the first integrated platform on papaya genomics that offers resources in a knowledge graph. PapayaNetBase aims to accelerate functional genomics and molecular marker analyses by enabling geneticists and breeders to explore and utilise the molecular information on papaya for application in papaya research and breeding programmes.

Keywords
biological database
Carica papaya
knowledge graph
Neo4j
omics
papaya
single nucleotide polymorphism (SNP)
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