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Acta Prataculturae Sinica ›› 2024, Vol. 33 ›› Issue (2): 57-67.DOI: 10.11686/cyxb2023166

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Construction and application of a graphic visualization tool for important forage omics data

Jia-hui CHEN(), Wen-xian LIU()   

  1. State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems,Key Laboratory of Grassland Livestock Industry Innovation,Ministry of Agriculture and Rural Affairs,Engineering Research Center of Grassland Industry,Ministry of Education,College of Pastoral Agriculture Science and Technology,Lanzhou University,Lanzhou 730020,China
  • Received:2023-05-17 Revised:2023-07-05 Online:2024-02-20 Published:2023-12-12
  • Contact: Wen-xian LIU

Abstract:

The post-genomic era in biological science has commenced with the publication of genome and transcriptome sequencing data for numerous forage grasses enabled by the rapid advancement of high-throughput sequencing technologies. The focus of genomics research has shifted from understanding genome structure to the level of identifying and validating gene functions. What’s more, gene expression in different tissues plays an important guiding role in the mining of gene function. In previous studies, most expression data across different tissues in the field of breeding research have only been presented in formats such as histograms, tables, or basic heatmaps. However, the visualizations conveyed by these methods are relatively simple in form, and the results are not visually compelling, making it difficult for readers to obtain relevant information quickly and effectively. In order to display combinatorial data more intuitively, aesthetically, and comprehensively, this study developed a forage data visualization workflow, which uses TBtools software and ten important forage grasses and legumes, including Medicago sativaMedicago truncatulaLeymus chinensis, and Melilotus officinalis as the species for investigation. By combining with a file drawn by Adobe Illustrator, a set of forage omics data and visualization workflow was constructed. The expression pattern of the MsSAP gene in alfalfa and the changes in expression under different stresses was taken as a case study to illustrate data acquisition, heatmap generation and result visualization when using the workflow. Compared with the traditional graphic display method, it was found that by using the forage SVG graphics files and visualization processes provided by us to visualize multi-omics data, researchers can more rapidly, efficiently and aesthetically visualize their own multi-omics research results, so as to provide a basis for the subsequent in-depth mining of functional genes and functional verification.

Key words: forage grasses, breeding, gene expression, graphic drawing