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Identification and characterization of endophytic bacteria from corn (Zea mays L.) roots with biotechnological potential in agriculture

Overview of attention for article published in AMB Express, May 2014
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Title
Identification and characterization of endophytic bacteria from corn (Zea mays L.) roots with biotechnological potential in agriculture
Published in
AMB Express, May 2014
DOI 10.1186/s13568-014-0026-y
Pubmed ID
Authors

Vivian Jaskiw Szilagyi-Zecchin, Angela Cristina Ikeda, Mariangela Hungria, Douglas Adamoski, Vanessa Kava-Cordeiro, Chirlei Glienke, Lygia Vitória Galli-Terasawa

Abstract

Six endophytic bacteria of corn roots were identified as Bacillus sp. and as Enterobacter sp, by sequencing of the 16S rRNA gene. Four of the strains, CNPSo 2476, CNPSo 2477, CNPSo 2478 and CNPSo 2480 were positive for the nitrogen fixation ability evaluated through the acetylene reduction assay and amplification of nifH gene. Two Bacillus strains (CNPSo 2477 and CNPSo 2478) showed outstanding skills for the production of IAA, siderophores and lytic enzymes, but were not good candidates as growth promoters, because they reduced seed germination. However, the same strains were antagonists against the pathogenic fungi Fusarium verticillioides, Colletotrichum graminicola, Bipolaris maydis and Cercospora zea-maydis. As an indication of favorable bacterial action, Enterobacter sp. CNPSo 2480 and Bacillus sp. CNPSo 2481 increased the root volume by 44% and 39%, respectively, and the seed germination by 47% and 56%, respectively. Therefore, these two strains are good candidates for future testing as biological inoculants for corn.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Austria 1 <1%
Brazil 1 <1%
France 1 <1%
United Kingdom 1 <1%
India 1 <1%
Sri Lanka 1 <1%
Ukraine 1 <1%
Unknown 198 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 31 15%
Student > Ph. D. Student 29 14%
Student > Master 28 13%
Researcher 27 13%
Student > Doctoral Student 16 8%
Other 35 17%
Unknown 43 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 112 54%
Biochemistry, Genetics and Molecular Biology 22 11%
Immunology and Microbiology 5 2%
Environmental Science 5 2%
Computer Science 3 1%
Other 13 6%
Unknown 49 23%
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 21 June 2014.
All research outputs
#18,371,959
of 22,755,127 outputs
Outputs from AMB Express
#796
of 1,231 outputs
Outputs of similar age
#164,264
of 227,501 outputs
Outputs of similar age from AMB Express
#9
of 25 outputs
Altmetric has tracked 22,755,127 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 1,231 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 21st percentile – i.e., 21% 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 227,501 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.