Marian Moralejo

Prof. Dr. Marian Moralejo

University of Lleida – AGROTECNIO-CERCA Center
orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 April 2007 in Transgenic Research
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Journal Article
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KRKoreen Ramessar
Koreen Ramessar
APAriadna Peremarti
Ariadna Peremarti
SGSonia Gómez-Galera
Sonia Gómez-Galera
SNShaista Naqvi
Shaista Naqvi
Marian MoralejoMarian Moralejo
Marian Moralejo
PCPaul Christou
Paul Christou

1 February 2006 in Field Crops Research
Verified
Journal Article
Closed access
MMMarc Moragues
Marc Moragues
LMLuis F. García del Moral
Luis F. García del Moral
Marian MoralejoMarian Moralejo
Marian Moralejo
Conxita RoyoConxita Royo
Conxita Royo

1 April 2019 in Carbohydrate Polymers
Verified
Journal Article
Open access
NFN.P. Fusté
N.P. Fusté
MGM. Guasch
M. Guasch
PGP. Guillen
P. Guillen
CAC. Anerillas
C. Anerillas
Tania Cemeli SanchezTania Cemeli Sanchez
Tania Cemeli Sanchez
EGEloi Garí
Eloi Garí
β-Glucans are considered candidates for the medication in different human pathologies. In this work, we have purified β-glucan from a selected barley line and tested their effects in primary human dermal fibroblasts. Unexpectedly, we have observed that this compound promoted a short-transitory proliferation arrest at 24 h after its addition on the medium. We have determined that this transitory arrest was dependent on the cell-cycle regulator protein Retinoblastoma. Moreover, dermal fibroblasts increase their migration capacities at 24 h after barley β-glucan addition. Also, we have described that barley β-glucan strongly reduced the ability of fibroblasts to attach and to spread on cell plates. Our data indicates that barley β-glucan signal induces an early response in HDF cells favoring migration versus proliferation. This feature is consistent with our observation that the topical addition of our barley β-glucan in vivo accelerates the wound closure in mouse skin.

26 January 2005 in Theoretical and Applied Genetics
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Journal Article
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JMJ.-L. Molina-Cano
J.-L. Molina-Cano
JRJ. R. Russell
J. R. Russell
Marian MoralejoMarian Moralejo
Marian Moralejo
JEJ. L. Escacena
J. L. Escacena
GAG. Arias
G. Arias
WPWayne Powell
Wayne Powell

10 August 2005 in Genetic Resources and Crop Evolution
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Journal Article
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MMMarc Moragues
Marc Moragues
JZJorge Zarco-Hernández
Jorge Zarco-Hernández
Marian MoralejoMarian Moralejo
Marian Moralejo
Conxita RoyoConxita Royo
Conxita Royo

4 March 2011 in Theoretical and Applied Genetics
Verified
Journal Article
Open access
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MMMarcos Malosetti
Marcos Malosetti
FEFred A. van Eeuwijk
Fred A. van Eeuwijk
MBMartin P. Boer
Martin P. Boer
ACAna M. Casas
Ana M. Casas
MEMónica Elía
Mónica Elía
JMJosé-Luis Molina-Cano
José-Luis Molina-Cano
Quantitative trait locus (QTL) detection is commonly performed by analysis of designed segregating populations derived from two inbred parental lines, where absence of selection, mutation and genetic drift is assumed. Even for designed populations, selection cannot always be avoided, with as consequence varying correlation between genotypes instead of uniform correlation. Akin to linkage disequilibrium mapping, ignoring this type of genetic relatedness will increase the rate of false-positives. In this paper, we advocate using mixed models including genetic relatedness, or ‘kinship’ information for QTL detection in populations where selection forces operated. We demonstrate our case with a three-way barley cross, designed to segregate for dwarfing, vernalization and spike morphology genes, in which selection occurred. The population of 161 inbred lines was screened with 1,536 single nucleotide polymorphisms (SNPs), and used for gene and QTL detection. The coefficient of coancestry matrix was estimated based on the SNPs and imposed to structure the distribution of random genotypic effects. The model incorporating kinship, coancestry, information was consistently superior to the one without kinship (according to the Akaike information criterion). We show, for three traits, that ignoring the coancestry information results in an unrealistically high number of marker–trait associations, without providing clear conclusions about QTL locations. We used a number of widely recognized dwarfing and vernalization genes known to segregate in the studied population as landmarks or references to assess the agreement of the mapping results with a priori candidate gene expectations. Additional QTLs to the major genes were detected for all traits as well.