Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 56

The DOI matches its Crossref record.

Coriander Genomics Database: a genomic, transcriptomic, and metabolic database for coriander

Song, Xiaoming, Nie, Fulei, Chen, Wei, Ma, Xiao, Gong, Ke, Yang, Qihang, Wang, Jinpeng, Li, Nan, Sun, Pengchuan, Pei, Qiaoying, Yu, Tong, Hu, Jingjing, Li, Xinyu, Wu, Tong, Feng, Shuyan, Li, Xiu-Qing, Wang, Xiyin·2020·Horticulture Research

Abstract

Coriander (Coriandrum sativum L.), also known as cilantro, is a globally important vegetable and spice crop. Its genome and that of carrot are models for studying the evolution of the Apiaceae family. Here, we developed the Coriander Genomics Database (CGDB, http://cgdb.bio2db.com/) to collect, store, and integrate the genomic, transcriptomic, metabolic, functional annotation, and repeat sequence data of coriander and carrot to serve as a central online platform for Apiaceae and other related plants. Using these data sets in the CGDB, we intriguingly found that seven transcription factor (TF) families showed significantly greater numbers of members in the coriander genome than in the carrot genome. The highest ratio of the numbers of MADS TFs between coriander and carrot reached 3.15, followed by those for tubby protein (TUB) and heat shock factors. As a demonstration of CGDB applications, we identified 17 TUB family genes and conducted systematic comparative and evolutionary analyses. RNA-seq data deposited in the CGDB also suggest dose compensation effects of gene expression in coriander. CGDB allows bulk downloading, significance searches, genome browser analyses, and BLAST searches for comparisons between coriander and other plants regarding genomics, gene families, gene collinearity, gene expression, and the metabolome. A detailed user manual and contact information are also available to provide support to the scientific research community and address scientific questions. CGDB will be continuously updated, and new data will be integrated for comparative and functional genomic analysis in Apiaceae and other related plants.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41438-020-0261-0

Cites

Statistics

Figures

Fig. 1 Flowchart of the Coriander Genomics Database (CGDB) sitemap
Fig. 1 Flowchart of the Coriander Genomics Database (CGDB) sitemapCC BY · PubMed Central
Fig. 2 The architecture of the Coriander Genomics Database (CGDB) mainly includes the home, browse, search, tools, download, help, and contact modules
Fig. 2 The architecture of the Coriander Genomics Database (CGDB) mainly includes the home, browse, search, tools, download, help, and contact modulesCC BY · PubMed Central
Fig. 3 The main functions of the browse and search module. a Home page. b Gene annotation page. c Gene family browser page. d Transcriptome data search page. e Metabolome data search page
Fig. 3 The main functions of the browse and search module. a Home page. b Gene annotation page. c Gene family browser page. d Transcriptome data search page. e Metabolome data search pageCC BY · PubMed Central
Fig. 4 Gene synteny search function of CGDB. a A search for syntenic genes. b A search for figures illustrating synteny
Fig. 4 Gene synteny search function of CGDB. a A search for syntenic genes. b A search for figures illustrating syntenyCC BY · PubMed Central
Fig. 5 Transcription factor (TF) analyses of coriander and carrot genomes. a The number of members of each TF family in these two species. Green represents coriander, and orange represents carrot. b The TFs showing the 12 highest ratios of the number in coriander to that in carrot
Fig. 5 Transcription factor (TF) analyses of coriander and carrot genomes. a The number of members of each TF family in these two species. Green represents coriander, and orange represents carrot. b The TFs showing the 12 highest ratios of the number in coriander to that in carrotCC BY · PubMed Central
Fig. 6 TUB gene family analyses. a The evolution and divergence time of grape, carrot, and coriander. b Phylogenetic tree constructed using the TUB family genes of these three species. The tree was divided into nine groups, from A to I. The numbers in parentheses represent the number of genes lost in coriander and carrot, respectively. c TUB family gene expression analyses of the coriander and carrot genomes at 30, 60, and 90 days after sowing. The FPKM values of gene expression were transformed by log2
Fig. 6 TUB gene family analyses. a The evolution and divergence time of grape, carrot, and coriander. b Phylogenetic tree constructed using the TUB family genes of these three species. The tree was divided into nine groups, from A to I. The numbers in parentheses represent the number of genes lost in coriander and carrot, respectively. c TUB family gene expression analyses of the coriander and carrot genomes at 30, 60, and 90 days after sowing. The FPKM values of gene expression were transformed by log2CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 18

  1. Prachayasittikul, V., Prachayasittikul, S., Ruchirawat, S. & Prachayasittikul, V. Coriander (Coriandrum sativum): a promising functional food toward the well-being. Food Res. Int. 105, 305–323 (2018). · DOI
  2. Eriksson, N. et al. A genetic variant near olfactory receptor genes influences cilantro preference. Flavour 1, 22 (2012). · DOI
  3. Chen, F. et al. Genome sequences of horticultural plants: past, present, and future. Hortic. Res. 6, 112 (2019). · DOI
  4. Chen, F. et al. The sequenced angiosperm genomes and genome databases. Front. Plant Sci. 9, 418 (2018).
  5. Zhu, G. et al. PPIM: a protein-protein interaction database for maize. Plant Physiol. 170, 618–626 (2016). · DOI
  6. Yu, J. et al. CottonGen: a genomics, genetics and breeding database for cotton research. Nucleic Acids Res. 42, D1229–D1236 (2014). · DOI
  7. Xu, Z. S., Tan, H. W., Wang, F., Hou, X. L. & Xiong, A. S. CarrotDB: a genomic and transcriptomic database for carrot. Database 2014, 1–8 (2014). · DOI
  8. Cheng, F. et al. BRAD, the genetics and genomics database for Brassica plants. BMC Plant Biol. 11, 136 (2011). · DOI
  9. Xu, H. et al. PGD: pineapple genomics database. Hortic. Res. 5, 66 (2018). · DOI
  10. Hirakawa, H. et al. Dissection of the octoploid strawberry genome by deep sequencing of the genomes of Fragaria species. DNA Res. 21, 169–181 (2014). · DOI
  11. Iorizzo, M. et al. A high-quality carrot genome assembly provides new insights into carotenoid accumulation and asterid genome evolution. Nat. Genet. 48, 657–666 (2016). · DOI
  12. Jaillon, O. et al. The grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla. Nature 449, 463–467 (2007). · DOI
  13. Guindon, S. et al. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst. Biol. 59, 307–321 (2010). · DOI · Paper page
  14. Wang, Y. et al. MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 40, e49 (2012). · DOI · Paper page
  15. Buels, R. et al. JBrowse: a dynamic web platform for genome visualization and analysis. Genome Biol. 17, 66 (2016). · DOI
  16. Mun, J. H. et al. Genome-wide comparative analysis of the Brassica rapa gene space reveals genome shrinkage and differential loss of duplicated genes after whole genome triplication. Genome Biol. 10, R111 (2009). · DOI
  17. De Bodt, S., Maere, S. & Van de Peer, Y. Genome duplication and the origin of angiosperms. Trends Ecol. Evol. 20, 591–597 (2005). · DOI
  18. Camacho, C. et al. BLAST+: architecture and applications. BMC Bioinforma. 10, 421 (2009). · DOI · Paper page

Cited by

Metadata

Authors
Song, X., Nie, F., Chen, W., Ma, X., Gong, K., Yang, Q., Wang, J., Li, N., Sun, P., Pei, Q., Yu, T., Hu, J., Li, X., Wu, T., Feng, S., Li, X.-Q., & Wang, X.
Venue
Horticulture Research
Published
2020-04-01
Volume
7
Issue
1
ISSN
  • 2662-6810
  • 2052-7276
Cited by
56
References
0
Language
en
Funders
China-Hebei 100 Scholars Supporting Project to

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.