↓ Skip to main content

Association and Genetic Identification of Loci for Four Fruit Traits in Tomato Using InDel Markers

Overview of attention for article published in Frontiers in Plant Science, July 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
34 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Association and Genetic Identification of Loci for Four Fruit Traits in Tomato Using InDel Markers
Published in
Frontiers in Plant Science, July 2017
DOI 10.3389/fpls.2017.01269
Pubmed ID
Authors

Xiaoxi Liu, Xiaolin Geng, Hongchi Zhang, Huolin Shen, Wencai Yang

Abstract

Tomato (Solanum lycopersicum) fruit weight (FW), soluble solid content (SSC), fruit shape and fruit color are crucial for yield, quality and consumer acceptability. In this study, a 192 accessions tomato association panel comprising a mixture of wild species, cherry tomato, landraces, and modern varieties collected worldwide was genotyped with 547 InDel markers evenly distributed on 12 chromosomes and scored for FW, SSC, fruit shape index (FSI), and color parameters over 2 years with three replications each year. The association panel was sorted into two subpopulations. Linkage disequilibrium ranged from 3.0 to 47.2 Mb across 12 chromosomes. A set of 102 markers significantly (p < 1.19-1.30 × 10(-4)) associated with SSC, FW, fruit shape, and fruit color was identified on 11 of the 12 chromosomes using a mixed linear model. The associations were compared with the known gene/QTLs for the same traits. Genetic analysis using F2 populations detected 14 and 4 markers significantly (p < 0.05) associated with SSC and FW, respectively. Some loci were commonly detected by both association and linkage analysis. Particularly, one novel locus for FW on chromosome 4 detected by association analysis was also identified in F2 populations. The results demonstrated that association mapping using limited number of InDel markers and a relatively small population could not only complement and enhance previous QTL information, but also identify novel loci for marker-assisted selection of fruit traits in tomato.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 18%
Student > Master 5 15%
Student > Ph. D. Student 4 12%
Student > Doctoral Student 4 12%
Student > Bachelor 3 9%
Other 3 9%
Unknown 9 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 44%
Biochemistry, Genetics and Molecular Biology 2 6%
Engineering 2 6%
Business, Management and Accounting 2 6%
Environmental Science 1 3%
Other 3 9%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 August 2017.
All research outputs
#20,444,703
of 22,999,744 outputs
Outputs from Frontiers in Plant Science
#16,377
of 20,486 outputs
Outputs of similar age
#274,946
of 315,207 outputs
Outputs of similar age from Frontiers in Plant Science
#465
of 523 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,486 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 315,207 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 523 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.