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Genomic analyses provide insights into the history of tomato breeding

Overview of attention for article published in Nature Genetics, October 2014
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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 (95th percentile)

Mentioned by

news
14 news outlets
blogs
5 blogs
policy
1 policy source
twitter
54 X users
patent
7 patents
facebook
3 Facebook pages
googleplus
1 Google+ user
video
1 YouTube creator

Citations

dimensions_citation
721 Dimensions

Readers on

mendeley
954 Mendeley
citeulike
1 CiteULike
Title
Genomic analyses provide insights into the history of tomato breeding
Published in
Nature Genetics, October 2014
DOI 10.1038/ng.3117
Pubmed ID
Authors

Tao Lin, Guangtao Zhu, Junhong Zhang, Xiangyang Xu, Qinghui Yu, Zheng Zheng, Zhonghua Zhang, Yaoyao Lun, Shuai Li, Xiaoxuan Wang, Zejun Huang, Junming Li, Chunzhi Zhang, Taotao Wang, Yuyang Zhang, Aoxue Wang, Yancong Zhang, Kui Lin, Chuanyou Li, Guosheng Xiong, Yongbiao Xue, Andrea Mazzucato, Mathilde Causse, Zhangjun Fei, James J Giovannoni, Roger T Chetelat, Dani Zamir, Thomas Städler, Jingfu Li, Zhibiao Ye, Yongchen Du, Sanwen Huang

Abstract

The histories of crop domestication and breeding are recorded in genomes. Although tomato is a model species for plant biology and breeding, the nature of human selection that altered its genome remains largely unknown. Here we report a comprehensive analysis of tomato evolution based on the genome sequences of 360 accessions. We provide evidence that domestication and improvement focused on two independent sets of quantitative trait loci (QTLs), resulting in modern tomato fruit ∼100 times larger than its ancestor. Furthermore, we discovered a major genomic signature for modern processing tomatoes, identified the causative variants that confer pink fruit color and precisely visualized the linkage drag associated with wild introgressions. This study outlines the accomplishments as well as the costs of historical selection and provides molecular insights toward further improvement.

X Demographics

X Demographics

The data shown below were collected from the profiles of 54 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 954 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 <1%
Italy 4 <1%
Belgium 3 <1%
Israel 3 <1%
Brazil 3 <1%
France 3 <1%
Chile 2 <1%
Germany 2 <1%
United Kingdom 2 <1%
Other 13 1%
Unknown 912 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 210 22%
Researcher 194 20%
Student > Master 123 13%
Student > Bachelor 63 7%
Student > Doctoral Student 53 6%
Other 124 13%
Unknown 187 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 547 57%
Biochemistry, Genetics and Molecular Biology 136 14%
Computer Science 12 1%
Medicine and Dentistry 10 1%
Environmental Science 9 <1%
Other 26 3%
Unknown 214 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 184. 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 25 April 2024.
All research outputs
#223,139
of 25,820,938 outputs
Outputs from Nature Genetics
#370
of 7,629 outputs
Outputs of similar age
#2,019
of 269,913 outputs
Outputs of similar age from Nature Genetics
#4
of 92 outputs
Altmetric has tracked 25,820,938 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 7,629 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one has done particularly well, scoring higher than 95% 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 269,913 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 92 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 95% of its contemporaries.