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A RAD-Based Genetic Map for Anchoring Scaffold Sequences and Identifying QTLs in Bitter Gourd (Momordica charantia)

Overview of attention for article published in Frontiers in Plant Science, April 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Title
A RAD-Based Genetic Map for Anchoring Scaffold Sequences and Identifying QTLs in Bitter Gourd (Momordica charantia)
Published in
Frontiers in Plant Science, April 2018
DOI 10.3389/fpls.2018.00477
Pubmed ID
Authors

Junjie Cui, Shaobo Luo, Yu Niu, Rukui Huang, Qingfang Wen, Jianwen Su, Nansheng Miao, Weiming He, Zhensheng Dong, Jiaowen Cheng, Kailin Hu

Abstract

Genetic mapping is a basic tool necessary for anchoring assembled scaffold sequences and for identifying QTLs controlling important traits. Though bitter gourd (Momordica charantia) is both consumed and used as a medicinal, research on its genomics and genetic mapping is severely limited. Here, we report the construction of a restriction site associated DNA (RAD)-based genetic map for bitter gourd using an F2 mapping population comprising 423 individuals derived from two cultivated inbred lines, the gynoecious line 'K44' and the monoecious line 'Dali-11.' This map comprised 1,009 SNP markers and spanned a total genetic distance of 2,203.95 cM across the 11 linkage groups. It anchored a total of 113 assembled scaffolds that covered about 251.32 Mb (85.48%) of the 294.01 Mb assembled genome. In addition, three horticulturally important traits including sex expression, fruit epidermal structure, and immature fruit color were evaluated using a combination of qualitative and quantitative data. As a result, we identified three QTL/gene loci responsible for these traits in three environments. The QTL/gene gy/fffn/ffn, controlling sex expression involved in gynoecy, first female flower node, and female flower number was detected in the reported region. Particularly, two QTLs/genes, Fwa/Wr and w, were found to be responsible for fruit epidermal structure and white immature fruit color, respectively. This RAD-based genetic map promotes the assembly of the bitter gourd genome and the identified genetic loci will accelerate the cloning of relevant genes in the future.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 14%
Student > Master 2 10%
Student > Ph. D. Student 2 10%
Lecturer 1 5%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 11 52%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 38%
Biochemistry, Genetics and Molecular Biology 1 5%
Earth and Planetary Sciences 1 5%
Medicine and Dentistry 1 5%
Unknown 10 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 May 2018.
All research outputs
#5,754,256
of 23,312,088 outputs
Outputs from Frontiers in Plant Science
#2,939
of 21,151 outputs
Outputs of similar age
#99,216
of 329,954 outputs
Outputs of similar age from Frontiers in Plant Science
#87
of 445 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,151 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 85% 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 329,954 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 445 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.