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Transcriptome sequencing analysis of alfalfa reveals CBF genes potentially playing important roles in response to freezing stress

Overview of attention for article published in Genetics and Molecular Biology, November 2017
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Title
Transcriptome sequencing analysis of alfalfa reveals CBF genes potentially playing important roles in response to freezing stress
Published in
Genetics and Molecular Biology, November 2017
DOI 10.1590/1678-4685-gmb-2017-0053
Pubmed ID
Authors

Yongjun Shu, Wei Li, Jinyue Zhao, Sijia Zhang, Hanyun Xu, Ying Liu, Changhong Guo

Abstract

Alfalfa (Medicago sativa L.) is an important perennial forage, with high nutritional value, which is widely grown in the world. Because of low freezing tolerance, its distribution and production are threatened and limited by winter weather. To understand the complex regulation mechanisms of freezing tolerance in alfalfa, we performed transcriptome sequencing analysis under cold (4 °C) and freezing (-8 °C) stresses. More than 66 million reads were generated, and we identified 5767 transcripts differentially expressed in response to cold and/or freezing stresses. These results showed that these genes were mainly classified as response to stress, transcription regulation, hormone signaling pathway, antioxidant, nodule morphogenesis, etc., implying their important roles in response to cold and freezing stresses. Furthermore, nine CBF transcripts differentially expressed were homologous to CBF genes of Mt-FTQTL6 site, conferring freezing tolerance in M. truncatula, which indicated that a genetic mechanism controlling freezing tolerance was conservative between M. truncatula and M. sativa. In summary, this transcriptome dataset highlighted the gene regulation response to cold and/or freezing stresses in alfalfa, which provides a valuable resource for future identification and functional analysis of candidate genes in determining freezing tolerance.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Student > Postgraduate 3 19%
Researcher 2 13%
Professor > Associate Professor 2 13%
Student > Master 1 6%
Other 2 13%
Unknown 3 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 50%
Biochemistry, Genetics and Molecular Biology 2 13%
Unspecified 1 6%
Social Sciences 1 6%
Engineering 1 6%
Other 0 0%
Unknown 3 19%
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 08 November 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Genetics and Molecular Biology
#647
of 772 outputs
Outputs of similar age
#300,725
of 342,377 outputs
Outputs of similar age from Genetics and Molecular Biology
#7
of 10 outputs
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