Cotton Genomics and Genetics 2025, Vol.16, No.4, 202-209 http://cropscipublisher.com/index.php/cgg 202 Review and Progress Open Access Research on the Construction of Cloud Genome Database and Cotton Breeding Information Platform Kaiwen Liang Comprehensive Utilization Center, Hainan Institute of Tropical Agricultural Resouces, Sanya, 572025, Hainan, China Corresponding email: kaiwen.liang@hitar.org Cotton Genomics and Genetics, 2025, Vol.16, No.4 doi: 10.5376/cgg.2025.16.0020 Received: 18 Jun., 2025 Accepted: 29 Jul., 2025 Published: 21 Aug., 2025 Copyright © 2025 Liang, This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Preferred citation for this article: Liang K.W., 2025, Research on the construction of cloud genome database and cotton breeding information platform, Cotton Genomics and Genetics, 16(4): 202-209 (doi: 10.5376/cgg.2025.16.0020) Abstract The rapid advancement of cotton genomics and breeding technologies has heightened the need for an integrated, scalable, and efficient digital platform. In this study, we constructed a cloud-based genome database and developed a comprehensive cotton breeding information platform to address data integration, standardization, and secure management of large-scale breeding and genomic datasets. Leveraging cloud computing infrastructure, we designed a modular architecture comprising data acquisition pipelines, core functional modules, and user-friendly interfaces to support breeding decision-making. A case study on the implementation of a national cotton genomics platform demonstrated the system’s effectiveness in enhancing data accessibility, real-time analysis, and collaborative breeding efforts. This research highlights the benefits of cloud platforms in supporting open science, accelerating breeding efficiency, and enabling data-driven decision-making. Future development will focus on integrating artificial intelligence, enhancing global interoperability, and strengthening policy and capacity-building frameworks to ensure sustainable use of the platform. Keywords Cotton breeding; Cloud genome database; Data integration; Digital platform; Genomic information system 1 Introduction With the development of genomics and information technology, cotton breeding has also undergone great changes. Now, researchers can integrate and analyze a lot of omics data, mainly thanks to cloud-based genomic databases and some specialized breeding information platforms (Yang et al., 2022a). At present, cotton breeding has entered a data-driven stage. Scientists have accumulated a large amount of data on genomes, transcriptomes, and trait performance. To make good use of these data, we need a powerful and easy-to-use platform to help organize, unify and view them. Platforms such as CottonGen, CottonFGD, and COTTONOMICS were established under this demand. They provide tools for finding data, graphical display, and analysis, and also help researchers around the world to better cooperate (Yu et al., 2015; Zhu et al., 2017). Cloud-based genomic databases are very important for the rapidly growing amount of data. They can not only store data centrally, but also integrate different types of data together, and researchers around the world can access them at any time. These databases can help people find important genes, study genetic differences, and support some advanced breeding methods. The ultimate goal is to breed new cotton varieties with high yield, high quality and disease resistance more quickly (Dai et al., 2022; Yang et al., 2022b). The cloud platform can also support multi-person collaborative projects and keep data updated and open to everyone. The main goal of this study is to integrate various omics data and breeding information by establishing a cloud-based genome database and breeding information platform, and to provide some useful analysis and display tools, and to further promote cooperation among cotton researchers around the world. Looking forward, these platforms may bring new breeding methods, promote the development of precision agriculture, and may also help solve the problems of sustainable development and adaptation to climate change in cotton cultivation. As long as these platforms continue to improve, researchers will be able to apply genomic research results to practice more quickly and accelerate the process of cotton variety improvement.
RkJQdWJsaXNoZXIy MjQ4ODYzNA==