Frontiers in Plant Science (Feb 2024)

Wolfberry genome database: integrated genomic datasets for studying molecular biology

  • You-Long Cao,
  • You-Long Cao,
  • You-Yi Chen,
  • Yan-Long Li,
  • Yan-Long Li,
  • Chung-I Li,
  • Shao-Ting Lin,
  • Bing-Ru Lee,
  • Chun-Lin Hsieh,
  • Yu-Yun Hsiao,
  • Yun-Fang Fan,
  • Yun-Fang Fan,
  • Qing Luo,
  • Qing Luo,
  • Jian-Hua Zhao,
  • Jian-Hua Zhao,
  • Yue Yin,
  • Yue Yin,
  • Wei An,
  • Wei An,
  • Zhi-Gang Shi,
  • Zhi-Gang Shi,
  • Chi-Nga Chow,
  • Wen-Chi Chang,
  • Chun-Lin Huang,
  • Wei-Hung Chang,
  • Wei-Hung Chang,
  • Zhong-Jian Liu,
  • Zhong-Jian Liu,
  • Zhong-Jian Liu,
  • Wei-Sheng Wu,
  • Wen-Chieh Tsai,
  • Wen-Chieh Tsai,
  • Wen-Chieh Tsai,
  • Wen-Chieh Tsai,
  • Wen-Chieh Tsai

DOI
https://doi.org/10.3389/fpls.2024.1310346
Journal volume & issue
Vol. 15

Abstract

Read online

Wolfberry, also known as goji berry or Lycium barbarum, is a highly valued fruit with significant health benefits and nutritional value. For more efficient and comprehensive usage of published L. barbarum genomic data, we established the Wolfberry database. The utility of the Wolfberry Genome Database (WGDB) is highlighted through the Genome browser, which enables the user to explore the L. barbarum genome, browse specific chromosomes, and access gene sequences. Gene annotation features provide comprehensive information about gene functions, locations, expression profiles, pathway involvement, protein domains, and regulatory transcription factors. The transcriptome feature allows the user to explore gene expression patterns using transcripts per kilobase million (TPM) and fragments per kilobase per million mapped reads (FPKM) metrics. The Metabolism pathway page provides insights into metabolic pathways and the involvement of the selected genes. In addition to the database content, we also introduce six analysis tools developed for the WGDB. These tools offer functionalities for gene function prediction, nucleotide and amino acid BLAST analysis, protein domain analysis, GO annotation, and gene expression pattern analysis. The WGDB is freely accessible at https://cosbi7.ee.ncku.edu.tw/Wolfberry/. Overall, WGDB serves as a valuable resource for researchers interested in the genomics and transcriptomics of L. barbarum. Its user-friendly web interface and comprehensive data facilitate the exploration of gene functions, regulatory mechanisms, and metabolic pathways, ultimately contributing to a deeper understanding of wolfberry and its potential applications in agronomy and nutrition.

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