Plant genomic resources at National Genomics Data Center: assisting in data-driven breeding applications.

Dongmei Tian, Tianyi Xu, Hailong Kang, Hong Luo, Yanqing Wang, Meili Chen, Rujiao Li, Lina Ma, Zhonghuang Wang, Lili Hao, Bixia Tang, Dong Zou, Jingfa Xiao, Wenming Zhao, Yiming Bao, Zhang Zhang, Shuhui Song
Author Information
  1. Dongmei Tian: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  2. Tianyi Xu: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  3. Hailong Kang: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  4. Hong Luo: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  5. Yanqing Wang: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  6. Meili Chen: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  7. Rujiao Li: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  8. Lina Ma: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  9. Zhonghuang Wang: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  10. Lili Hao: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  11. Bixia Tang: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  12. Dong Zou: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  13. Jingfa Xiao: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  14. Wenming Zhao: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  15. Yiming Bao: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  16. Zhang Zhang: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.
  17. Shuhui Song: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences & China National Center for Bioinformation, Beijing, 100101 China.

Abstract

Genomic data serve as an invaluable resource for unraveling the intricacies of the higher plant systems, including the constituent elements within and among species. Through various efforts in genomic data archiving, integrative analysis and value-added curation, the National Genomics Data Center (NGDC), which is a part of the China National Center for Bioinformation (CNCB), has successfully established and currently maintains a vast amount of database resources. This dedicated initiative of the NGDC facilitates a data-rich ecosystem that greatly strengthens and supports genomic research efforts. Here, we present a comprehensive overview of central repositories dedicated to archiving, presenting, and sharing plant omics data, introduce knowledgebases focused on variants or gene-based functional insights, highlight species-specific multiple omics database resources, and briefly review the online application tools. We intend that this review can be used as a guide map for plant researchers wishing to select effective data resources from the NGDC for their specific areas of study.
Supplementary Information: The online version contains supplementary material available at 10.1007/s42994-023-00134-4.

Keywords

References

  1. Elife. 2017 Dec 05;6: [PMID: 29206104]
  2. Genomics Proteomics Bioinformatics. 2021 Aug;19(4):584-589 [PMID: 34175476]
  3. Nucleic Acids Res. 2019 Jan 8;47(D1):D170-D174 [PMID: 30364952]
  4. Nat Biotechnol. 2008 Oct;26(10):1135-45 [PMID: 18846087]
  5. Nat Biotechnol. 2019 Jul;37(7):744-754 [PMID: 31209375]
  6. Metabolites. 2020 May 15;10(5): [PMID: 32429287]
  7. Bioinformatics. 2007 May 15;23(10):1289-91 [PMID: 17379693]
  8. Mol Ecol Resour. 2023 Jan;23(1):106-117 [PMID: 35951477]
  9. Nucleic Acids Res. 2022 Jan 7;50(D1):D129-D140 [PMID: 34850121]
  10. Biotechnol Biofuels. 2021 Aug 3;14(1):165 [PMID: 34344425]
  11. Genomics Proteomics Bioinformatics. 2023 Oct;21(5):1054-1058 [PMID: 36572336]
  12. Database (Oxford). 2015 Sep 27;2015: [PMID: 26412851]
  13. Mol Plant. 2023 May 1;16(5):794-797 [PMID: 36950735]
  14. Bioinformatics. 2007 May 15;23(10):1181-7 [PMID: 17379689]
  15. Mol Plant. 2021 Jun 7;14(6):855-857 [PMID: 33962062]
  16. Nucleic Acids Res. 2022 Jan 7;50(D1):D27-D38 [PMID: 34718731]
  17. Nucleic Acids Res. 2018 Jan 4;46(D1):D121-D126 [PMID: 29036693]
  18. Nucleic Acids Res. 2023 Jan 6;51(D1):D523-D531 [PMID: 36408920]
  19. Nucleic Acids Res. 2023 Jan 6;51(D1):D18-D28 [PMID: 36420893]
  20. Curr Protoc Hum Genet. 2011 Oct;Chapter 6:Unit6.10 [PMID: 21975942]
  21. Nature. 2021 Aug;596(7873):583-589 [PMID: 34265844]
  22. Annu Rev Genet. 2018 Nov 23;52:421-444 [PMID: 30285496]
  23. Nucleic Acids Res. 2010 Jan;38(Database issue):D563-9 [PMID: 19884133]
  24. Nucleic Acids Res. 2013 Jan;41(Database issue):D991-5 [PMID: 23193258]
  25. Nucleic Acids Res. 2022 Jan 7;50(D1):D1216-D1220 [PMID: 34718739]
  26. Genomics Proteomics Bioinformatics. 2022 Jun;20(3):536-540 [PMID: 34990803]
  27. Nucleic Acids Res. 2019 Jan 8;47(D1):D1146-D1154 [PMID: 30407532]
  28. Glob Chang Biol. 2020 Jan;26(1):119-188 [PMID: 31891233]
  29. Nucleic Acids Res. 2019 Jan 8;47(D1):D8-D14 [PMID: 30365034]
  30. Nucleic Acids Res. 2023 Jan 6;51(D1):D121-D125 [PMID: 36399492]
  31. Nucleic Acids Res. 2011 Jan;39(Database issue):D19-21 [PMID: 21062823]
  32. Nucleic Acids Res. 2023 Jan 6;51(D1):D969-D976 [PMID: 36263826]
  33. Genomics Proteomics Bioinformatics. 2020 Apr;18(2):161-172 [PMID: 32683045]
  34. Metabolites. 2019 Apr 18;9(4): [PMID: 31003499]
  35. Plant Biotechnol J. 2022 Jan;20(1):10-12 [PMID: 34651402]
  36. Plant Biotechnol J. 2021 Mar;19(3):430-447 [PMID: 33484606]
  37. Nucleic Acids Res. 2020 Jan 8;48(D1):D1069-D1075 [PMID: 31599330]
  38. Nucleic Acids Res. 2019 Jul 2;47(W1):W636-W641 [PMID: 30976793]
  39. Plant Biotechnol J. 2022 Dec;20(12):2239-2241 [PMID: 36069606]
  40. Nucleic Acids Res. 2021 Jan 8;49(D1):D412-D419 [PMID: 33125078]
  41. Curr Opin Plant Biol. 2020 Aug;56:190-196 [PMID: 32005553]
  42. Genomics Proteomics Bioinformatics. 2021 Aug;19(4):578-583 [PMID: 34400360]
  43. Nucleic Acids Res. 2022 Jan 7;50(D1):D1016-D1024 [PMID: 34591957]
  44. Methods Mol Biol. 2016;1374:141-63 [PMID: 26519404]
  45. Nucleic Acids Res. 2020 Jan 8;48(D1):D1085-D1092 [PMID: 31624841]
  46. Nucleic Acids Res. 2024 Jan 5;52(D1):D1530-D1537 [PMID: 37930849]
  47. Nucleic Acids Res. 2022 Jan 7;50(D1):D1448-D1455 [PMID: 34718712]
  48. Nucleic Acids Res. 2021 Jan 8;49(D1):D1186-D1191 [PMID: 33170268]
  49. Nucleic Acids Res. 2023 Jan 6;51(D1):D208-D216 [PMID: 36318250]
  50. Nucleic Acids Res. 2024 Jan 5;52(D1):D1651-D1660 [PMID: 37843152]
  51. Nat Genet. 2023 Jul;55(7):1232-1242 [PMID: 37291196]
  52. J Genet Genomics. 2017 May 20;44(5):235-241 [PMID: 28529082]
  53. Nucleic Acids Res. 2012 Jan;40(Database issue):D1178-86 [PMID: 22110026]
  54. Mol Ecol Notes. 2007 May 1;7(3):355-364 [PMID: 18784790]
  55. Theor Appl Genet. 2003 Feb;106(3):411-22 [PMID: 12589540]
  56. Nucleic Acids Res. 2012 Jan;40(Database issue):D1202-10 [PMID: 22140109]
  57. Nat Methods. 2023 Mar;20(3):387-399 [PMID: 36797409]
  58. Cell. 2020 Jul 9;182(1):162-176.e13 [PMID: 32553274]
  59. Nucleic Acids Res. 2018 Jan 4;46(D1):D14-D20 [PMID: 29036542]
  60. Nucleic Acids Res. 2020 Jan 8;48(D1):D24-D33 [PMID: 31702008]
  61. Nat Genet. 2023 May;55(5):852-860 [PMID: 37024581]
  62. Science. 2004 Oct 22;306(5696):636-40 [PMID: 15499007]
  63. Nucleic Acids Res. 2016 Jan 4;44(D1):D733-45 [PMID: 26553804]
  64. Plant Biotechnol J. 2020 Jan;18(1):14-16 [PMID: 31336017]
  65. Mol Plant. 2023 Apr 3;16(4):775-789 [PMID: 36919242]
  66. Nucleic Acids Res. 2023 Jan 6;51(D1):D1446-D1456 [PMID: 36215030]

Word Cloud

Similar Articles

Cited By