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Transcriptome profiling of PeCRY1 transgenic Populus tomentosa

Overview of attention for article published in Genes & Genomics, November 2017
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Title
Transcriptome profiling of PeCRY1 transgenic Populus tomentosa
Published in
Genes & Genomics, November 2017
DOI 10.1007/s13258-017-0631-7
Pubmed ID
Authors

Lina Wang, Rongling Wu, Wenhao Bo

Abstract

Cryptochromes, a class of blue light photoreceptors, play vital roles in regulating growth and development in higher plants. Despite their control over various important traits, there have been few studies focusing on cryptochromes in forest trees to date. In this study, the Euphrates poplar (Populus euphratica) gene PeCRY1 (cryptochrome 1 of Populus euphratica) was isolated and heterologously expressed in Populus tomentosa. Three biological replicates of each of the PeCRY1 transgenic P. tomentosa (CRY1) and wild-type (WT) plants were processed for transcriptome profiling. We found 34792 commonly expressed transcripts among the 93868 detected unigenes. Using R package DESeq, we identified 357 differentially expressed genes (DEGs), including 132 upregulated and 225 downregulated genes. Gene ontology (GO) enrichment and KEGG pathway enrichment were used to better understand the functions of detected DEGs. Biosynthetic processes, such as starch and sucrose metabolism, which are closely related to growth and development, were highly enriched. Organic cyclic compound biosynthesis was downregulated, whereas carbohydrate metabolism was upregulated. Through KEGG pathway enrichment, we observed that the pentose phosphate pathway, photosynthesis, and circadian rhythm were significantly enriched. Another method of expression analysis based on quantitative reverse transcription polymerase chain reaction (qRT-PCR) validated our RNA sequencing (RNA-seq) results.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 18%
Student > Master 2 18%
Student > Postgraduate 2 18%
Student > Ph. D. Student 1 9%
Professor > Associate Professor 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 36%
Agricultural and Biological Sciences 2 18%
Unspecified 1 9%
Computer Science 1 9%
Medicine and Dentistry 1 9%
Other 0 0%
Unknown 2 18%
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 13 June 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Genes & Genomics
#273
of 661 outputs
Outputs of similar age
#339,490
of 446,042 outputs
Outputs of similar age from Genes & Genomics
#8
of 21 outputs
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So far Altmetric has tracked 661 research outputs from this source. They receive a mean Attention Score of 1.3. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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