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Proteome analysis of pear reveals key genes associated with fruit development and quality

Overview of attention for article published in Planta, February 2015
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Title
Proteome analysis of pear reveals key genes associated with fruit development and quality
Published in
Planta, February 2015
DOI 10.1007/s00425-015-2263-y
Pubmed ID
Authors

Jia Ming Li, Xiao San Huang, Lie Ting Li, Dan Man Zheng, Cheng Xue, Shao Ling Zhang, Jun Wu

Abstract

Comparative and association analyses of the proteome and transcriptome for pear fruit development were conducted for the first time in this study. Pear fruit development involves complex physiological and biochemical processes, but there is still little knowledge available at proteomic and transcriptomic levels, which would be helpful for understanding the molecular mechanisms of fruit development and quality in pear. In our study, three important stages, including early development (S4-22), middle development (S6-27), and near ripening (S8-30), were investigated in 'Dangshansuli' by isobaric tags for relative and absolute quantitation (iTRAQ) labeling technology, identifying a total of 1,810 proteins during pear fruit development. The association analysis of proteins and transcript expression revealed 1,724, 1,722, and 1,718 associated proteins identified in stages S4-22, S6-27, and S8-30, respectively. A total of 237, 318, and 425 unique proteins were identified as differentially expressed during S4-22 vs S6-27, S6-27 vs S8-30, S4-22 vs S8-30, respectively, and the corresponding correlation coefficients of the overall differentially expressed proteins and transcripts data were 0.6336, 0.4113, and 0.7049. The phenylpropanoid biosynthesis pathway, which is related to lignin formation of pear fruit, was identified as a significantly enriched pathway during early stages of fruit development. Finally, a total of 35 important differentially expressed proteins related to fruit quality were identified, including three proteins related to sugar formation, seven proteins related to aroma synthesis, and sixteen proteins related to the formation of lignin. In addition, qRT-PCR verification provided further evidence to support differentially expressed gene selection. This study is the first to reveal protein and associated mRNA variations in pear during fruit development and quality conformation, and identify key genes and proteins helpful for future functional genomics studies, and provides gene resources for improvement of pear quality.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 30%
Researcher 3 11%
Student > Postgraduate 3 11%
Professor > Associate Professor 2 7%
Student > Master 1 4%
Other 1 4%
Unknown 9 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 48%
Biochemistry, Genetics and Molecular Biology 2 7%
Engineering 1 4%
Unknown 11 41%
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 05 April 2016.
All research outputs
#18,401,176
of 22,792,160 outputs
Outputs from Planta
#2,152
of 2,718 outputs
Outputs of similar age
#281,324
of 385,323 outputs
Outputs of similar age from Planta
#18
of 34 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,718 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 12th percentile – i.e., 12% 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 385,323 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.