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Bradyrhizobium elkanii nod regulon: insights through genomic analysis

Overview of attention for article published in Genetics and Molecular Biology, July 2017
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Title
Bradyrhizobium elkanii nod regulon: insights through genomic analysis
Published in
Genetics and Molecular Biology, July 2017
DOI 10.1590/1678-4685-gmb-2016-0228
Pubmed ID
Authors

Luciane M. P. Passaglia

Abstract

A successful symbiotic relationship between soybean [Glycine max (L.) Merr.] and Bradyrhizobium species requires expression of the bacterial structural nod genes that encode for the synthesis of lipochitooligosaccharide nodulation signal molecules, known as Nod factors (NFs). Bradyrhizobium diazoefficiens USDA 110 possesses a wide nodulation gene repertoire that allows NF assembly and modification, with transcription of the nodYABCSUIJnolMNOnodZ operon depending upon specific activators, i.e., products of regulatory nod genes that are responsive to signaling molecules such as flavonoid compounds exuded by host plant roots. Central to this regulatory circuit of nod gene expression are NodD proteins, members of the LysR-type regulator family. In this study, publicly available Bradyrhizobium elkanii sequenced genomes were compared with the closely related B. diazoefficiens USDA 110 reference genome to determine the similarities between those genomes, especially with regards to the nod operon and nod regulon. Bioinformatics analyses revealed a correlation between functional mechanisms and key elements that play an essential role in the regulation of nod gene expression. These analyses also revealed new genomic features that had not been clearly explored before, some of which were unique for some B. elkanii genomes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 20%
Student > Ph. D. Student 4 16%
Student > Postgraduate 3 12%
Student > Master 3 12%
Student > Doctoral Student 1 4%
Other 3 12%
Unknown 6 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 32%
Agricultural and Biological Sciences 7 28%
Business, Management and Accounting 1 4%
Unknown 9 36%
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 03 August 2017.
All research outputs
#16,725,651
of 25,382,440 outputs
Outputs from Genetics and Molecular Biology
#378
of 772 outputs
Outputs of similar age
#198,063
of 326,986 outputs
Outputs of similar age from Genetics and Molecular Biology
#2
of 8 outputs
Altmetric has tracked 25,382,440 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 772 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 47th percentile – i.e., 47% 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 326,986 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.