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A bulk segregant transcriptome analysis reveals metabolic and cellular processes associated with Orange allelic variation and fruit β-carotene accumulation in melon fruit

Overview of attention for article published in BMC Plant Biology, November 2015
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Title
A bulk segregant transcriptome analysis reveals metabolic and cellular processes associated with Orange allelic variation and fruit β-carotene accumulation in melon fruit
Published in
BMC Plant Biology, November 2015
DOI 10.1186/s12870-015-0661-8
Pubmed ID
Authors

Noam Chayut, Hui Yuan, Shachar Ohali, Ayala Meir, Yelena Yeselson, Vitaly Portnoy, Yi Zheng, Zhangjun Fei, Efraim Lewinsohn, Nurit Katzir, Arthur A. Schaffer, Shimon Gepstein, Joseph Burger, Li Li, Yaakov Tadmor

Abstract

Melon fruit flesh color is primarily controlled by the "golden" single nucleotide polymorhism of the "Orange" gene, CmOr, which dominantly triggers the accumulation of the pro-vitamin A molecule, β-carotene, in the fruit mesocarp. The mechanism by which CmOr operates is not fully understood. To identify cellular and metabolic processes associated with CmOr allelic variation, we compared the transcriptome of bulks of developing fruit of homozygous orange and green fruited F3 families derived from a cross between orange and green fruited parental lines. Pooling together F3 families that share same fruit flesh color and thus the same CmOr allelic variation, normalized traits unrelated to CmOr allelic variation. RNA sequencing analysis of these bulks enabled the identification of differentially expressed genes. These genes were clustered into functional groups. The relatively enriched functional groups were those involved in photosynthesis, RNA and protein regulation, and response to stress. The differentially expressed genes and the enriched processes identified here by bulk segregant RNA sequencing analysis are likely part of the regulatory network of CmOr. Our study demonstrates the resolution power of bulk segregant RNA sequencing in identifying genes related to commercially important traits and provides a useful tool for better understanding the mode of action of CmOr gene in the mediation of carotenoid accumulation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Germany 1 1%
Unknown 95 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 21%
Student > Ph. D. Student 17 18%
Student > Bachelor 8 8%
Student > Master 7 7%
Student > Doctoral Student 6 6%
Other 15 15%
Unknown 24 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 48%
Biochemistry, Genetics and Molecular Biology 10 10%
Engineering 4 4%
Chemical Engineering 4 4%
Chemistry 2 2%
Other 3 3%
Unknown 27 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 December 2015.
All research outputs
#13,034,483
of 23,318,744 outputs
Outputs from BMC Plant Biology
#842
of 3,315 outputs
Outputs of similar age
#125,647
of 286,095 outputs
Outputs of similar age from BMC Plant Biology
#16
of 57 outputs
Altmetric has tracked 23,318,744 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,315 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 74% 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 286,095 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 55% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.