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Maximizing the expression of transgenic traits into elite alfalfa germplasm using a supertransgene configuration in heterozygous conditions

Overview of attention for article published in Theoretical and Applied Genetics, February 2018
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Title
Maximizing the expression of transgenic traits into elite alfalfa germplasm using a supertransgene configuration in heterozygous conditions
Published in
Theoretical and Applied Genetics, February 2018
DOI 10.1007/s00122-018-3062-1
Pubmed ID
Authors

Cintia Jozefkowicz, Romina Frare, Romina Fox, Ariel Odorizzi, Valeria Arolfo, Elba Pagano, Daniel Basigalup, Nicolas Ayub, Gabriela Soto

Abstract

A novel process for the production of transgenic alfalfa varieties. Numerous species of legumes, including alfalfa, are critical factors for agroecosystems due to their ability to grow without nitrogen fertilizers derived from non-renewable fossil fuels, their contribution of organic nitrogen to the soil, and their increased nutritional value. Alfalfa is the main source of vegetable proteins in meat and milk production systems worldwide. Despite the economic and ecological importance of this autotetraploid and allogamous forage crop, little progress has been made in the incorporation of transgenic traits into commercial alfalfa. This is mainly due to the unusually strong transgene silencing and complex reproductive behavior of alfalfa, which limit the production of events with high transgene expression and the introgression of selected events within heterogeneous synthetic populations, respectively. In this report, we describe a novel procedure, called supertransgene process, where a glufosinate-tolerant alfalfa variety was developed using a single event containing the BAR transgene associated with an inversion. This approach can be used to maximize the expression of transgenic traits into elite alfalfa germplasm and to reduce the cost of production of transgenic alfalfa cultivars, contributing to the public improvement of this legume forage and other polyploid and outcrossing crop species.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 29%
Student > Ph. D. Student 2 8%
Other 1 4%
Student > Doctoral Student 1 4%
Lecturer > Senior Lecturer 1 4%
Other 3 13%
Unknown 9 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 50%
Environmental Science 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Medicine and Dentistry 1 4%
Unknown 9 38%
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 06 February 2018.
All research outputs
#19,201,293
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#3,124
of 3,565 outputs
Outputs of similar age
#333,070
of 442,106 outputs
Outputs of similar age from Theoretical and Applied Genetics
#35
of 46 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.