AI Article Synopsis
- The study focuses on the genetic structure and adaptation of Chinese cannabis, an important industrial crop with various uses.
- Researchers classified Chinese cannabis into five groups based on geographical location and growing conditions, identifying key genes linked to traits like flowering time and stress responses.
- Findings provide insights into how cultivated cannabis adapts to different light conditions and offer genomic resources that could benefit future cannabis breeding efforts.
Article Abstract
Background: Cannabis is an important industrial crop species whose fibre, seeds, flowers and leaves are widely used by humans. The study of cannabinoids extracted from plants has been popular research topic in recent years. China is one of the origins of cannabis and one of the few countries with wild cannabis plants. However, the genetic structure of Chinese cannabis and the degree of adaptive selection remain unclear.
Results: The main morphological characteristics of wild cannabis in China were assessed. Based on whole-genome resequencing SNPs, Chinese cannabis could be divided into five groups in terms of geographical source and ecotype: wild accessions growing in the northwestern region; wild accessions growing in the northeastern region; cultivated accessions grown for fibre in the northeastern region; cultivated accessions grown for seed in northwestern region, and cultivated accessions in southwestern region. We further identified genes related to flowering time, seed germination, seed size, embryogenesis, growth, and stress responses selected during the process of cannabis domestication. The expression of flowering-related genes under long-day (LD) and short-day (SD) conditions showed that Chinese cultivated cannabis is adapted to different photoperiods through the regulation of Flowering locus T-like (FT-like) expression.
Conclusion: This study clarifies the genetic structure of Chinese cannabis and offers valuable genomic resources for cannabis breeding.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9327241 | PMC |
| http://dx.doi.org/10.1186/s12870-022-03744-0 | DOI Listing |
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