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Multiple interval QTL mapping and searching for PSTOL1 homologs associated with root morphology, biomass accumulation and phosphorus content in maize seedlings under low-P

Overview of attention for article published in BMC Plant Biology, July 2015
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Title
Multiple interval QTL mapping and searching for PSTOL1 homologs associated with root morphology, biomass accumulation and phosphorus content in maize seedlings under low-P
Published in
BMC Plant Biology, July 2015
DOI 10.1186/s12870-015-0561-y
Pubmed ID
Authors

Gabriel C Azevedo, Adriana Cheavegatti-Gianotto, Bárbara F Negri, Bárbara Hufnagel, Luciano da Costa e Silva, Jurandir V Magalhaes, Antonio Augusto F Garcia, Ubiraci GP Lana, Sylvia M de Sousa, Claudia T Guimaraes

Abstract

Modifications in root morphology are important strategies to maximize soil exploitation under phosphorus starvation in plants. Here, we used two multiple interval models to map QTLs related to root traits, biomass accumulation and P content in a maize RIL population cultivated in nutrient solution. In addition, we searched for putative maize homologs to PSTOL1, a gene responsible to enhance early root growth, P uptake and grain yield in rice and sorghum. Based on path analysis, root surface area was the root morphology component that most strongly contributed to total dry weight and to P content in maize seedling under low-P availability. Multiple interval mapping models for single (MIM) and multiple traits (MT-MIM) were combined and revealed 13 genomic regions significantly associated with the target traits in a complementary way. The phenotypic variances explained by all QTLs and their epistatic interactions using MT-MIM (23.4 to 35.5 %) were higher than in previous studies, and presented superior statistical power. Some of these QTLs were coincident with QTLs for root morphology traits and grain yield previously mapped, whereas others harbored ZmPSTOL candidate genes, which shared more than 55 % of amino acid sequence identity and a conserved serine/threonine kinase domain with OsPSTOL1. Additionally, four ZmPSTOL candidate genes co-localized with QTLs for root morphology, biomass accumulation and/or P content were preferentially expressed in roots of the parental lines that contributed the alleles enhancing the respective phenotypes. QTL mapping strategies adopted in this study revealed complementary results for single and multiple traits with high accuracy. Some QTLs, mainly the ones that were also associated with yield performance in other studies, can be good targets for marker-assisted selection to improve P-use efficiency in maize. Based on the co-localization with QTLs, the protein domain conservation and the coincidence of gene expression, we selected novel maize genes as putative homologs to PSTOL1 that will require further validation studies.

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Geographical breakdown

Country Count As %
United States 3 3%
Brazil 3 3%
France 1 1%
India 1 1%
Unknown 82 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 23%
Researcher 16 18%
Student > Master 11 12%
Student > Doctoral Student 7 8%
Student > Postgraduate 7 8%
Other 14 16%
Unknown 14 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 63%
Biochemistry, Genetics and Molecular Biology 8 9%
Computer Science 2 2%
Earth and Planetary Sciences 1 1%
Social Sciences 1 1%
Other 3 3%
Unknown 18 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 January 2023.
All research outputs
#7,470,449
of 23,485,296 outputs
Outputs from BMC Plant Biology
#597
of 3,309 outputs
Outputs of similar age
#86,069
of 263,726 outputs
Outputs of similar age from BMC Plant Biology
#15
of 69 outputs
Altmetric has tracked 23,485,296 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,309 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 80% 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 263,726 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 66% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.