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Integrated mRNA and microRNA transcriptome variations in the multi-tepal mutant provide insights into the floral patterning of the orchid Cymbidium goeringii

Overview of attention for article published in BMC Genomics, May 2017
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Title
Integrated mRNA and microRNA transcriptome variations in the multi-tepal mutant provide insights into the floral patterning of the orchid Cymbidium goeringii
Published in
BMC Genomics, May 2017
DOI 10.1186/s12864-017-3756-9
Pubmed ID
Authors

Fengxi Yang, Genfa Zhu, Zhen Wang, Hailin Liu, Qingquan Xu, Dan huang, Chaoyi Zhao

Abstract

Cymbidium goeringii is a very famous traditional orchid plant in China, which is well known for its spectacular and diverse flower morphology. In particular, the multi-tepal mutants have considerable ecological and cultural value. However, the current understanding of the molecular mechanisms of floral patterning and multi-tepal development is limited. In this study, we performed expression profiling of both microRNA (miRNA) and mRNA from wild-type and typical multi-tepal-mutant flowers of C. goeringii for the first time, to identify the genes and pathways regulating floral morphogenesis in C. goeringii. Total clean reads of 98,988,774 and 100,188,534 bp were obtained from the wild-type and mutant library, respectively, and de novo assembled into 98,446 unigenes, with an average length of 989 bp. Among them, 18,489 were identified as differentially expressed genes between the two libraries according to comparative transcript profiling. The majority of the gene ontology terms and Kyoto Encyclopedia of Genes and Genomes pathway enrichment responses were for membrane-building and ploidy-related processes, consistent with the excessive floral organs and altered cell size observed in the mutant. There were 29 MADS-box genes, as well as a large number of floral-related regulators and hormone-responsive genes, considered as candidates regulating floral patterning of C. goeringii. Small RNA sequencing revealed 132 conserved miRNA families expressed in flowers of C. goeringii, and 11 miRNAs corresponding to 455 putative target genes were considered to be responsible for multi-tepal development. Importantly, integrated analysis of mRNA and miRNA sequencing data showed two transcription factor/microRNA-based genetic pathways contributing to the multi-tepal trait: well-known floral-related miR156/SPL and miR167/ARF regulatory modes involved in reproductive organ development; and the miR319/TCP4-miR396/GRF regulatory cascade probably regulating cell proliferation of the multi-tepal development. Integrated mRNA and miRNA profiling data provided comprehensive gene expression information on the wild-type and multi-tepal mutant at the transcriptional level that could facilitate our understanding of the molecular mechanisms of floral patterning of C. goeringii. These data could also be used as an important resource for investigating the genetics of floral morphogenesis and various biological mechanisms of orchid plants.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Master 6 18%
Researcher 2 6%
Student > Bachelor 1 3%
Student > Doctoral Student 1 3%
Other 1 3%
Unknown 15 45%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 30%
Biochemistry, Genetics and Molecular Biology 7 21%
Medicine and Dentistry 1 3%
Unknown 15 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 May 2017.
All research outputs
#14,935,459
of 22,971,207 outputs
Outputs from BMC Genomics
#6,163
of 10,686 outputs
Outputs of similar age
#185,101
of 310,860 outputs
Outputs of similar age from BMC Genomics
#130
of 208 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,686 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 310,860 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 208 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.