↓ Skip to main content

Transcriptomic comparison of the self-pollinated and cross-pollinated flowers of Erigeron breviscapus to analyze candidate self-incompatibility-associated genes

Overview of attention for article published in BMC Plant Biology, October 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
34 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Transcriptomic comparison of the self-pollinated and cross-pollinated flowers of Erigeron breviscapus to analyze candidate self-incompatibility-associated genes
Published in
BMC Plant Biology, October 2015
DOI 10.1186/s12870-015-0627-x
Pubmed ID
Authors

Wei Zhang, Xiang Wei, Heng-Lin Meng, Chun-Hua Ma, Ni-Hao Jiang, Guang-Hui Zhang, Sheng-Chao Yang

Abstract

Self-incompatibility (SI) is a widespread and important mating system that promotes outcrossing in plants. Erigeron breviscapus, a medicinal herb used widely in traditional Chinese medicine, is a self-incompatible species of Asteraceae. However, the genetic characteristics of SI responses in E. breviscapus remain largely unknown. To understand the possible mechanisms of E. breviscapus in response to SI, we performed a comparative transcriptomic analysis with capitulum of E. breviscapus after self- and cross-pollination, which may provide valuable information for analyzing the candidate SI-associated genes of E. breviscapus. Using a high-throughput next-generation sequencing (Illumina) approach, the transcriptionexpression profiling of the different genes of E. breviscapus were obtained, some results were verified by quantitative real time PCR (qRT-PCR). After assembly, 63,485 gene models were obtained (average gene size 882 bp; N50 = 1485 bp), among which 38,540 unigenes (60.70 % of total gene models) were annotated by comparisons with four public databases (Nr, Swiss-Prot, KEGG and COG): 38,338 unigenes (60.38 % of total gene models) showed high homology with sequences in the Nr database. Differentially expressed genes were identified among the three cDNA libraries (non-, self- and cross-pollinated capitulum of E. breviscapus), and approximately 230 genes might be associated with SI responses. Several these genes were upregulated in self-pollinated capitulum but downregulated in cross-pollinated capitulum, such as SRLK (SRK-like) and its downstream signal factor, MLPK. qRT-PCR confirmed that the expression patterns of EbSRLK1 and EbSRLK3 genes were not closely related to SI of E. breviscapus. This work represents the first large-scale analysis of gene expression in the self-pollinated and cross-pollinated flowers of E. breviscapus. A larger number of notable genes potentially involved in SI responses showed differential expression, including genes playing crucial roles in cell-cell communication, signal transduction and the pollination process. We thus hypothesized that those genes showing differential expression and encoding critical regulators of SI responses, such as MLPK, ARC1, CaM, Exo70A1, MAP, SF21 and Nod, might affect SI responses in E. breviscapus. Taken together, our study provides a pool of SI-related genes in E. breviscapus and offers a valuable resource for elucidating the mechanisms of SI in Asteraceae.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 18%
Student > Doctoral Student 6 18%
Researcher 4 12%
Student > Bachelor 3 9%
Student > Postgraduate 3 9%
Other 5 15%
Unknown 7 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 56%
Biochemistry, Genetics and Molecular Biology 4 12%
Unspecified 1 3%
Mathematics 1 3%
Unknown 9 26%
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 07 July 2016.
All research outputs
#20,335,423
of 22,880,230 outputs
Outputs from BMC Plant Biology
#2,529
of 3,265 outputs
Outputs of similar age
#234,257
of 279,303 outputs
Outputs of similar age from BMC Plant Biology
#47
of 60 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,265 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 279,303 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.