About Search
We performed a careful literature survey, and 459, 71, and 112 reported flowering genes were curated in Arabidopsis thaliana, Glycine max, and Oryza sativa, respectively. Candidate flowering genes in other species were identified by using a combination of sequence similarity and conserved domain based approaches. A total of 82,104 candidate flowering genes were obtained. In the “Search” module, users can retrieve candidate flowering genes through five dimensions. The “ Search by species ” page provides the detailed description for each species, together with the global statistics, functional annotation, distribution, and gene family classification for the candidate flowering genes. The “Search by reported flowering genes” page can conveniently retrieve candidate flowering gene information. On the “ Search by gene family ” and “ Search by Pfam family ” pages, the statistics, distribution, comparison and sequence information of the specific gene or Pfam family among 112 species can be obtained.On the “ Search by sequence ” pages, users can obtain the highest similarity of candidate flowering genes by entering the unknown nucleic acid or protein sequences.

The external links of “Variation” and “Expression” in “Search by species” page allow users direct access to the corresponding gene information page. There are 16 species that can directly link to the gene expression page of ePlant (Waese et al., 2017), BnIR (Yang et al., 2023), CuGenDBv2 (Yu et al., 2023), WheatOmics 1.0 (Ma et al., 2021), and MaizeGDB (Lawrence et al., 2004). Moreover, 10 species that can directly link to the gene variation page of Plant-ImputeDB (Gao et al., 2021), BnIR, CuGenDBv2, RiceVarMap 2.0 (Zhao et al., 2021) and Sol Genomics Network (https://solgenomics.net/).
1. Borrill, P., Ramirez-Gonzalez, R. and Uauy, C. (2016) expVIP: a Customizable RNA-seq Data Analysis and Visualization Platform. Plant Physiol 170, 2172-2186.
2. Gao, Y., Yang, Z., Yang, W., Yang, Y., Gong, J., Yang, Q.Y. and Niu, X. (2021) Plant-ImputeDB: an integrated multiple plant reference panel database for genotype imputation. Nucleic Acids Res 49, D1480-D1488.
3. Gupta, P., Dholaniya, P.S., Devulapalli, S., Tawari, N.R., Sreelakshmi, Y. and Sharma, R. (2020) Reanalysis of genome sequences of tomato accessions and its wild relatives: development of Tomato Genomic Variation (TGV) database integrating SNPs and INDELs polymorphisms. Bioinformatics 36, 4984-4990.
4. Ma, S., Wang, M., Wu, J., Guo, W., Chen, Y., Li, G., Wang, Y., Shi, W., Xia, G., Fu, D., Kang, Z. and Ni, F. (2021) WheatOmics: A platform combining multiple omics data to accelerate functional genomics studies in wheat. Mol Plant 14, 1965-1968.
5. Waese, J., Fan, J., Pasha, A., Yu, H., Fucile, G., Shi, R., Cumming, M., Kelley, L.A., Sternberg, M.J., Krishnakumar, V., Ferlanti, E., Miller, J., Town, C., Stuerzlinger, W. and Provart, N.J. (2017) ePlant: Visualizing and Exploring Multiple Levels of Data for Hypothesis Generation in Plant Biology. Plant Cell 29, 1806-1821.
6. Yang, Z., Wang, S., Wei, L., Huang, Y., Liu, D., Jia, Y., Luo, C., Lin, Y., Liang, C., Hu, Y., Dai, C., Guo, L., Zhou, Y. and Yang, Q.Y. (2023) BnIR: A multi-omics database with various tools for Brassica napus research and breeding. Mol Plant 16, 775-789.
7. Yu, J., Wu, S., Sun, H., Wang, X., Tang, X., Guo, S., Zhang, Z., Huang, S., Xu, Y., Weng, Y., Mazourek, M., McGregor, C., Renner, S.S., Branham, S., Kousik, C., Wechter, W.P., Levi, A., Grumet, R., Zheng, Y. and Fei, Z. (2023) CuGenDBv2: an updated database for cucurbit genomics. Nucleic Acids Res 51, D1457-D1464.
8. Zhao, H., Li, J., Yang, L., Qin, G., Xia, C., Xu, X., Su, Y., Liu, Y., Ming, L., Chen, L.L., Xiong, L. and Xie, W. (2021) An inferred functional impact map of genetic variants in rice. Mol Plant 14, 1584-1599.