Plant genome re sequencing data (2020)

Plant genome re sequencing data (2020)


In order to study the relationship between the spread of vines and human activities, we re sequenced the varieties from Qinghai Tibet Plateau and its surrounding areas, as well as Pakistan, India, Nepal, Germany, Japan and other places. At the same time, the gene families were clustered, and the unique and common genes and gene families were counted. In addition, the expansion and contraction analysis of gene families and the phylogeny were also carried out Tree construction, genome-wide replication event analysis. The purpose of this study was to analyze the molecular basis of the adaptation of traditional Cranberry varieties to the plateau under the dual pressure of human activities and regional climate environment. Therefore, this study is helpful to reveal the adaptive mechanism of C. racemosa adapting to the plateau ecological environment and the influence of artificial domestication and human selection on its genetic differentiation in the process of evolution.


File naming and required software

File name: the data is stored in text format. The file format example is "Brassica apalinn QTL"_ K778-S01-01-R01_ good_ 1 "or" brassiliq1 "_ K778-S01-01-R01_ good_ Where R01 is the data number. The data can be opened directly with a text program. (e.g. EDITPLUS)


Data Citations Data citation guideline What's data citation?
Cite as:

Duan, Y. (2020). Plant genome re sequencing data (2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Socioeco.tpdc.271065. CSTR: 18406.11.Socioeco.tpdc.271065. (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Follow
Keywords
Geographic coverage
East: 97.00 West: 95.00
South: 31.00 North: 32.00
Details
  • Temporal resolution: Yearly
  • Spatial resolution: -
  • File size: 395 MB
  • Views: 2327
  • Downloads: 1
  • Access: Protection period
  • Temporal coverage: 2018-12-01 To 2022-12-31
  • Updated time: 2021-04-19

download later

Contacts
: DUAN Yuanwen  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata