scholarly journals Identification, Mapping, and Molecular Marker Development for Rgsr8.1: A New Quantitative Trait Locus Conferring Resistance to Gibberella Stalk Rot in Maize (Zea mays L.)

2017 ◽  
Vol 8 ◽  
Author(s):  
Qian Chen ◽  
Jun Song ◽  
Wen-Ping Du ◽  
Li-Yuan Xu ◽  
Yun Jiang ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Zea Mays ◽  
Molecular Marker ◽  
Quantitative Trait ◽  
Zea Mays L ◽  
Marker Development ◽  
Stalk Rot ◽  
Trait Locus ◽  
Molecular Marker Development

scholarly journals Characterization of introgression from the teosinte Zea mays ssp. mexicana to Mexican highland maize

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6815 ◽  
Author(s):  
Eric Gonzalez-Segovia ◽  
Sergio Pérez-Limon ◽  
G. Carolina Cíntora-Martínez ◽  
Alejandro Guerrero-Zavala ◽  
Garrett M. Janzen ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Zea Mays ◽  
Quantitative Trait Locus Mapping ◽  
Quantitative Trait ◽  
Sequence Data ◽  
Whole Genome Sequence ◽  
Highland Maize ◽  
Trait Locus ◽  
Locus Mapping ◽  
The Impact

Background The spread of maize cultivation to the highlands of central Mexico was accompanied by substantial introgression from the endemic wild teosinte Zea mays ssp. mexicana, prompting the hypothesis that the transfer of beneficial variation facilitated local adaptation. Methods We used whole-genome sequence data to map regions of Zea mays ssp. mexicana introgression in three Mexican highland maize individuals. We generated a genetic linkage map and performed Quantitative Trait Locus mapping in an F2 population derived from a cross between lowland and highland maize individuals. Results Introgression regions ranged in size from several hundred base pairs to Megabase-scale events. Gene density within introgression regions was comparable to the genome as a whole, and over 1,000 annotated genes were located within introgression events. Quantitative Trait Locus mapping identified a small number of loci linked to traits characteristic of Mexican highland maize. Discussion Although there was no strong evidence to associate quantitative trait loci with regions of introgression, we nonetheless identified many Mexican highland alleles of introgressed origin that carry potentially functional sequence variants. The impact of introgression on stress tolerance and yield in the highland environment remains to be fully characterized.

scholarly journals Characterization of introgression from the teosinte Zea mays ssp. mexicana to Mexican highland maize

2019 ◽  
Author(s):  
Eric Gonzalez-Segovia ◽  
Sergio Pérez-Limon ◽  
Carolina Cíntora-Martínez ◽  
Alejandro Guerrero-Zavala ◽  
Garrett Jansen ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Zea Mays ◽  
Quantitative Trait Locus Mapping ◽  
Quantitative Trait ◽  
Sequence Data ◽  
Whole Genome Sequence ◽  
Highland Maize ◽  
Trait Locus ◽  
Locus Mapping ◽  
The Impact

Background. The spread of maize cultivation to the highlands of central Mexico was accompanied by substantial introgression from the endemic wild teosinte Zea mays ssp. mexicana, prompting the hypothesis that the transfer of beneficial variation facilitated local adaptation. Methods. We used novel whole-genome sequence data to map regions of Zea mays ssp. mexicana introgression in three Mexican highland maize individuals. We generated a genetic linkage map and performed Quantitative Trait Locus mapping in an F2 population derived from a cross between lowland and highland maize individuals. Results. Introgression regions ranged in size from several hundred base pairs to Megabase-scale events. Gene density within introgression regions was comparable to the genome as a whole, and over one thousand annotated genes were located within introgression events. Quantitative Trait Locus mapping identified a small number of loci linked to traits characteristic of Mexican highland maize. Discussion. Although there was no strong evidence to associate quantitative trait loci with regions of introgression, we nonetheless identified many Mexican highland alleles of introgressed origin that carry potentially functional sequence variants. The impact of introgression on stress tolerance and yield in the highland environment remains to be fully characterized.

scholarly journals Characterization of introgression from the teosinte Zea mays ssp. mexicana to Mexican highland maize

2019 ◽  
Author(s):  
Eric Gonzalez-Segovia ◽  
Sergio Pérez-Limon ◽  
Carolina Cíntora-Martínez ◽  
Alejandro Guerrero-Zavala ◽  
Garrett Jansen ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Zea Mays ◽  
Quantitative Trait Locus Mapping ◽  
Quantitative Trait ◽  
Sequence Data ◽  
Whole Genome Sequence ◽  
Highland Maize ◽  
Trait Locus ◽  
Locus Mapping ◽  
The Impact

Background. The spread of maize cultivation to the highlands of central Mexico was accompanied by substantial introgression from the endemic wild teosinte Zea mays ssp. mexicana, prompting the hypothesis that the transfer of beneficial variation facilitated local adaptation. Methods. We used novel whole-genome sequence data to map regions of Zea mays ssp. mexicana introgression in three Mexican highland maize individuals. We generated a genetic linkage map and performed Quantitative Trait Locus mapping in an F2 population derived from a cross between lowland and highland maize individuals. Results. Introgression regions ranged in size from several hundred base pairs to Megabase-scale events. Gene density within introgression regions was comparable to the genome as a whole, and over one thousand annotated genes were located within introgression events. Quantitative Trait Locus mapping identified a small number of loci linked to traits characteristic of Mexican highland maize. Discussion. Although there was no strong evidence to associate quantitative trait loci with regions of introgression, we nonetheless identified many Mexican highland alleles of introgressed origin that carry potentially functional sequence variants. The impact of introgression on stress tolerance and yield in the highland environment remains to be fully characterized.

scholarly journals Fine Mapping and Candidate Gene Prediction of a Pleiotropic Quantitative Trait Locus for Yield-Related Trait in Zea mays

PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e49836 ◽  
Author(s):  
Ruixiang Liu ◽  
Haitao Jia ◽  
Xiaoliang Cao ◽  
Jun Huang ◽  
Feng Li ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Zea Mays ◽  
Candidate Gene ◽  
Fine Mapping ◽  
Quantitative Trait ◽  
Gene Prediction ◽  
Yield Related Trait ◽  
Trait Locus ◽  
Related Trait
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