Marie Laure Pilet-Nayel

Dr. Marie Laure Pilet-Nayel

orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

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

Representative Publications

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27 October 2017 in Frontiers in Plant Science
Verified
Journal Article
Open access
MPMarie Laure Pilet-Nayel
Marie Laure Pilet-Nayel
BMBenoît Moury
Benoît Moury
VCValérie Caffier
Valérie Caffier
JMJosselin Montarry
Josselin Montarry
MKMarie-Claire Kerlan
Marie-Claire Kerlan
RDRégine Delourme
Régine Delourme
Quantitative resistance has gained interest in plant breeding for pathogen control in low-input cropping systems. Although quantitative resistance frequently has only a partial effect and is difficult to select, it is considered more durable than major resistance (R) genes. With the exponential development of molecular markers over the past 20 years, resistance QTL have been more accurately detected and better integrated into breeding strategies for resistant varieties with increased potential for durability. This review summarizes current knowledge on the genetic inheritance, molecular basis, and durability of quantitative resistance. Based on this knowledge, we discuss how strategies that combine major R genes and QTL in crops can maintain the effectiveness of plant resistance to pathogens. Combining resistance QTL with complementary modes of action appears to be an interesting strategy for breeding effective and potentially durable resistance. Combining quantitative resistance with major R genes has proven to be a valuable approach for extending the effectiveness of major genes. In the plant genomics era, improved tools and methods are becoming available to better integrate quantitative resistance into breeding strategies. Nevertheless, optimal combinations of resistance loci will still have to be identified to preserve resistance effectiveness over time for durable crop protection.

25 August 2005 in Theoretical and Applied Genetics
Verified
Journal Article
Closed access
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KLK. Loridon
K. Loridon
KMK. McPhee
K. McPhee
JMJ. Morin
J. Morin
PDP. Dubreuil
P. Dubreuil
MPMarie Laure Pilet-Nayel
Marie Laure Pilet-Nayel
JBJ. Burstin
J. Burstin

1 December 2002 in Theoretical and Applied Genetics
Verified
Journal Article
Closed access
PDF file
MPMarie Laure Pilet-Nayel
Marie Laure Pilet-Nayel
FMF. Muehlbauer
F. Muehlbauer
RMR. McGee
R. McGee
JKJ. Kraft
J. Kraft
ABA. Baranger
A. Baranger
CCC. Coyne
C. Coyne

1 June 2004 in Phytopathology®
Verified
Journal Article
Open access
RDR. Delourme
R. Delourme
MPMarie Laure Pilet-Nayel
Marie Laure Pilet-Nayel
MAM. Archipiano
M. Archipiano
RHR. Horvais
R. Horvais
XTX. Tanguy
X. Tanguy
MBM. H. Balesdent
M. H. Balesdent
Two types of genetic resistance to Leptosphaeria maculans usually are distinguished in Brassica napus: qualitative, total resistance expressed at the seedling stage and quantitative, partial resistance expressed at the adult plant stage. The latter is under the control of many genetic factors that have been mapped through quantitative trait loci (QTL) studies using ‘Darmor’ resistance. The former usually is ascribed to race-specific resistance controlled by single resistance to L. maculans (Rlm) genes. Three B. napus-originating specific Rlm genes (Rlm1, Rlm2, and Rlm4) previously were characterized. Here, we report on the genetic identification of two novel resistance genes, Rlm3 and Rlm7, corresponding to the avirulence genes AvrLm3 and AvrLm7. The identification of a novel L. maculans- B. napus specific interaction allowed the detection of another putative new specific resistance gene, Rlm9. The resistance genes were mapped in two genomic regions on LG10 and LG16 linkage groups. A cluster of five resistance genes (Rlm1, Rlm3, Rlm4, Rlm7, and Rlm9) was strongly suggested on LG10. The relation between all these specific resistance genes and their potential role in adult-plant field resistance is discussed. These two Rlm-carrying regions do not correspond to major QTL for Darmor quantitative resistance.

23 December 2015 in The Plant Journal
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Journal Article
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NTNadim Tayeh
Nadim Tayeh
CAChristelle Aluome
Christelle Aluome
MFMatthieu Falque
Matthieu Falque
FJFrançoise Jacquin
Françoise Jacquin
AKAnthony Klein
Anthony Klein
JBJudith Burstin
Judith Burstin

12 February 2014 in BMC Genomics
Verified
Journal Article
Open access
PDF file
JDJorge Duarte
Jorge Duarte
NRNathalie Rivière
Nathalie Rivière
ABAlain Baranger
Alain Baranger
GAGregoire AUBERT
Gregoire AUBERT
JBJudith Burstin
Judith Burstin
GBGilles BOUTET
Gilles BOUTET
Pea has a complex genome of 4.3 Gb for which only limited genomic resources are available to date. Although SNP markers are now highly valuable for research and modern breeding, only a few are described and used in pea for genetic diversity and linkage analysis.