↓ Skip to main content

Genetic analysis of resistance to six virus diseases in a multiple virus-resistant maize inbred line

Overview of attention for article published in Theoretical and Applied Genetics, February 2014
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
5 X users
facebook
1 Facebook page

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
77 Mendeley
Title
Genetic analysis of resistance to six virus diseases in a multiple virus-resistant maize inbred line
Published in
Theoretical and Applied Genetics, February 2014
DOI 10.1007/s00122-014-2263-5
Pubmed ID
Authors

Jose Luis Zambrano, Mark W. Jones, Eric Brenner, David M. Francis, Adriana Tomas, Margaret G. Redinbaugh

Abstract

Novel and previously known resistance loci for six phylogenetically diverse viruses were tightly clustered on chromosomes 2, 3, 6 and 10 in the multiply virus-resistant maize inbred line, Oh1VI. Virus diseases in maize can cause severe yield reductions that threaten crop production and food supplies in some regions of the world. Genetic resistance to different viruses has been characterized in maize populations in diverse environments using different screening techniques, and resistance loci have been mapped to all maize chromosomes. The maize inbred line, Oh1VI, is resistant to at least ten viruses, including viruses in five different families. To determine the genes and inheritance mechanisms responsible for the multiple virus resistance in this line, F1 hybrids, F2 progeny and a recombinant inbred line (RIL) population derived from a cross of Oh1VI and the virus-susceptible inbred line Oh28 were evaluated. Progeny were screened for their responses to Maize dwarf mosaic virus, Sugarcane mosaic virus, Wheat streak mosaic virus, Maize chlorotic dwarf virus, Maize fine streak virus, and Maize mosaic virus. Depending on the virus, dominant, recessive, or additive gene effects were responsible for the resistance observed in F1 plants. One to three gene models explained the observed segregation of resistance in the F2 generation for all six viruses. Composite interval mapping in the RIL population identified 17 resistance QTLs associated with the six viruses. Of these, 15 were clustered in specific regions of chr. 2, 3, 6, and 10. It is unknown whether these QTL clusters contain single or multiple virus resistance genes, but the coupling phase linkage of genes conferring resistance to multiple virus diseases in this population could facilitate breeding efforts to develop multi-virus resistant crops.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
India 1 1%
Unknown 74 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 22%
Researcher 16 21%
Student > Ph. D. Student 9 12%
Student > Doctoral Student 6 8%
Student > Bachelor 5 6%
Other 11 14%
Unknown 13 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 53%
Biochemistry, Genetics and Molecular Biology 10 13%
Social Sciences 2 3%
Mathematics 1 1%
Business, Management and Accounting 1 1%
Other 4 5%
Unknown 18 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 May 2017.
All research outputs
#6,742,082
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#1,201
of 3,565 outputs
Outputs of similar age
#78,268
of 311,503 outputs
Outputs of similar age from Theoretical and Applied Genetics
#4
of 18 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 66% of its peers.
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 311,503 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.