Genetic adaptation analysis of the environment in the sandy sandy area of Shami was carried out by RAD population sequencing, and 6124 SNPs were finally obtained after SNP calling and quality control of the obtained data, which were combined with the WorldClim database version 1.4 (1950-2000,). Combined with the ecological factor data downloaded from WorldClim database version 1.4 (1950-2000,), the correlation analysis between SNP diversity and environmental factors was carried out using Samβada software, and the correlation was determined by G-scores>0.0001 to obtain the SNPs related to the environmental adaptation of sago.
| collect time | 2020/01/01 - 2020/12/31 |
|---|---|
| collect place | Northern semi-arid region |
| data size | 150.3 KiB |
| data format | excel |
| Coordinate system |
Genetic adaptation analysis of the environment in the sandy sandy area of Shami was carried out by RAD population sequencing, and 6124 SNPs were finally obtained after SNP calling and quality control of the obtained data, which were combined with the WorldClim database version 1.4 (1950-2000,). Combined with the ecological factor data downloaded from WorldClim database version 1.4 (1950-2000,), the correlation analysis between SNP diversity and environmental factors was carried out by using Samβada software, and the correlation was determined by G-scores>0.0001 to obtain the SNPs related to environmental adaptation in sago.
Genetic adaptation analysis of the environment in the sandy sandy area of Shami was carried out by RAD population sequencing, and 6124 SNPs were finally obtained after SNP calling and quality control of the obtained data, which were combined with the WorldClim database version 1.4 (1950-2000,). Combined with the ecological factor data downloaded from WorldClim database version 1.4 (1950-2000,), the correlation analysis between SNP diversity and environmental factors was carried out by using Samβada software, and the correlation was determined by G-scores>0.0001 to obtain the SNPs related to environmental adaptation in sago.
Data quality is good.
| # | number | name | type |
| 1 | 2016YFC0500900 | National key R & D plan |
This work is licensed under a
Creative
Commons Attribution 4.0 International License.
| # | title | file size |
|---|---|---|
| 1 | _ncdc_meta_.json | 4.4 KiB |
| 2 | 沙米环境适应性相关SNP(2020年).xlsx | 145.9 KiB |
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