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Soybean MADS-box gene GmAGL1 promotes flowering via the photoperiod pathway

Overview of attention for article published in BMC Genomics, January 2018
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Title
Soybean MADS-box gene GmAGL1 promotes flowering via the photoperiod pathway
Published in
BMC Genomics, January 2018
DOI 10.1186/s12864-017-4402-2
Pubmed ID
Authors

Xuanrui Zeng, Hailun Liu, Hongyang Du, Sujing Wang, Wenming Yang, Yingjun Chi, Jiao Wang, Fang Huang, Deyue Yu

Abstract

The MADS-box transcription factors are an ancient family of genes that regulate numerous physiological and biochemical processes in plants and facilitate the development of floral organs. However, the functions of most of these transcription factors in soybean remain unknown. In this work, a MADS-box gene, GmAGL1, was overexpressed in soybean. Phenotypic analysis showed that GmAGL1 overexpression not only resulted in early maturation but also promoted flowering and affected petal development. Furthermore, the GmAGL1 was much more effective at promoting flowering under long-day conditions than under short-day conditions. Transcriptome sequencing analysis showed that before flowering, the photoperiod pathway photoreceptor CRY2 and several circadian rhythm genes, such as SPA1, were significantly down-regulated, while some other flowering-promoting circadian genes, such as GI and LHY, and downstream genes related to flower development, such as FT, LEAFY, SEP1, SEP3, FUL, and AP1, were up-regulated compared with the control. Other genes related to the flowering pathway were not noticeably affected. The findings reported herein indicate that GmAGL1 may promote flowering mainly through the photoperiod pathway. Interestingly, while overexpression of GmAGL1 promoted plant maturity, no reduction in seed production or oil and protein contents was observed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Researcher 5 13%
Student > Bachelor 4 11%
Student > Master 4 11%
Student > Doctoral Student 2 5%
Other 5 13%
Unknown 11 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 42%
Biochemistry, Genetics and Molecular Biology 9 24%
Environmental Science 1 3%
Energy 1 3%
Social Sciences 1 3%
Other 0 0%
Unknown 10 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 18 January 2018.
All research outputs
#18,583,054
of 23,016,919 outputs
Outputs from BMC Genomics
#8,229
of 10,697 outputs
Outputs of similar age
#330,922
of 442,088 outputs
Outputs of similar age from BMC Genomics
#175
of 219 outputs
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We're also able to compare this research output to 219 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.