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Science Advances

Large-scale whole-genome resequencing unravels the domestication history of Cannabis sativa

Overview of attention for article published in Science Advances, July 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
83 news outlets
blogs
16 blogs
twitter
409 X users
facebook
9 Facebook pages
wikipedia
10 Wikipedia pages
reddit
4 Redditors
video
1 YouTube creator

Citations

dimensions_citation
97 Dimensions

Readers on

mendeley
295 Mendeley
Title
Large-scale whole-genome resequencing unravels the domestication history of Cannabis sativa
Published in
Science Advances, July 2021
DOI 10.1126/sciadv.abg2286
Pubmed ID
Authors

Guangpeng Ren, Xu Zhang, Ying Li, Kate Ridout, Martha L Serrano-Serrano, Yongzhi Yang, Ai Liu, Gudasalamani Ravikanth, Muhammad Ali Nawaz, Abdul Samad Mumtaz, Nicolas Salamin, Luca Fumagalli

Abstract

Cannabis sativa has long been an important source of fiber extracted from hemp and both medicinal and recreational drugs based on cannabinoid compounds. Here, we investigated its poorly known domestication history using whole-genome resequencing of 110 accessions from worldwide origins. We show that C. sativa was first domesticated in early Neolithic times in East Asia and that all current hemp and drug cultivars diverged from an ancestral gene pool currently represented by feral plants and landraces in China. We identified candidate genes associated with traits differentiating hemp and drug cultivars, including branching pattern and cellulose/lignin biosynthesis. We also found evidence for loss of function of genes involved in the synthesis of the two major biochemically competing cannabinoids during selection for increased fiber production or psychoactive properties. Our results provide a unique global view of the domestication of C. sativa and offer valuable genomic resources for ongoing functional and molecular breeding research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 409 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 295 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 12%
Student > Master 27 9%
Student > Bachelor 26 9%
Student > Ph. D. Student 20 7%
Student > Doctoral Student 16 5%
Other 40 14%
Unknown 131 44%
Readers by discipline Count As %
Agricultural and Biological Sciences 75 25%
Biochemistry, Genetics and Molecular Biology 40 14%
Medicine and Dentistry 8 3%
Environmental Science 5 2%
Neuroscience 4 1%
Other 28 9%
Unknown 135 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1035. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 April 2024.
All research outputs
#16,153
of 26,322,284 outputs
Outputs from Science Advances
#237
of 13,008 outputs
Outputs of similar age
#679
of 450,801 outputs
Outputs of similar age from Science Advances
#8
of 444 outputs
Altmetric has tracked 26,322,284 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,008 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 119.1. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 450,801 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 444 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.