Tomato, Lycopersicon esculentum, and Lycopersicon Species and Genetic Markers in Relation to Mite, Tetranychus marianae, Infestations1

1965 ◽  
Vol 58 (5) ◽  
pp. 891-893 ◽  
Author(s):  
Dan A. Wolfenbarger
Keyword(s):  
Lycopersicon Esculentum ◽  
Genetic Markers ◽  
Lycopersicon Species

scholarly journals Linkage analysis of quantitative traits in an interspecific cross of tomato (lycopersicon esculentum x lycopersicon pimpinellifolium) by means of genetic markers.

Genetics ◽  
1988 ◽  
Vol 118 (2) ◽  
pp. 329-339
Author(s):  
J I Weller ◽  
M Soller ◽  
T Brody
Keyword(s):  
Lycopersicon Esculentum ◽  
Genetic Markers ◽  
Quantitative Trait ◽  
Quantitative Traits ◽  
Interspecific Cross ◽  
Mean Value ◽  
Lycopersicon Pimpinellifolium ◽  
Degree Of Dominance ◽  
Marker Loci ◽  
Parental Lines

Abstract Linkage relationships between loci affecting quantitative traits (QTL) and marker loci were examined in an interspecific cross between Lycopersicon esculentum and Lycopersicon pimpinellifolium. Parental lines differed for six morphological markers and for four electrophoretic markers. Almost 1700 F-2 plants were scored with respect to the genetic markers and also with respect to 18 quantitative traits. Major genes affecting the quantitative traits were not found, but out of 180 possible marker x trait combinations, 85 showed significant quantitative effects associated with the genetic markers. The average marker-associated main effect was on the order of 6% of the mean value of the trait. Most of the main effects were apparently due to linkage of QTL to the marker loci rather than to pleiotropy. Fourteen of the traits showed at least one highly significant effect of opposite sign to the overall difference between the parental lines, demonstrating the ability of this design to uncover cryptic genetic variation. Significant variance and skewness effects on the quantitative traits were found to be associated with the genetic markers, suggesting the possible presence of loci affecting the variance and shape of quantitative trait distribution in a population. Most marker-associated quantitative effects showed some degree of dominance, generally in the direction of the L. pimpinellifolium parent. When the significant marker-associated effects were examined in pairs, 12% showed significant interaction effects. The results of this study illustrate the potential usefulness of this type of analysis for the detailed genetic investigation of quantitative trait variation in suitably marked populations.

530: Termining Risk for Prostate Cancer at Prostate Biopsy using Genetic Markers

2005 ◽  
Vol 173 (4S) ◽  
pp. 144-145
Author(s):  
Robert K. Nam ◽  
William Zhang ◽  
John Trachtenberg ◽  
Michael A.S. Jewett ◽  
Steven Narod
Keyword(s):  
Prostate Cancer ◽  
Genetic Markers ◽  
Prostate Biopsy

Memory Processes, Aging, Cognitive Decline, and Neurodegenerative Diseases

2006 ◽  
Vol 11 (4) ◽  
pp. 304-311 ◽  
Author(s):  
Lars-Göran Nilsson
Keyword(s):  
Cognitive Impairment ◽  
Cognitive Decline ◽  
Neurodegenerative Disease ◽  
Genetic Markers ◽  
Brain Activity ◽  
Memory Performance ◽  
Modeling And Simulations ◽  
Aging And Health ◽  
Explained Variance ◽  
Different Levels

This paper presents four domains of markers that have been found to predict later cognitive impairment and neurodegenerative disease. These four domains are (1) data patterns of memory performance, (2) cardiovascular factors, (3) genetic markers, and (4) brain activity. The critical features of each domain are illustrated with data from the longitudinal Betula Study on memory, aging, and health ( Nilsson et al., 1997 ; Nilsson et al., 2004 ). Up to now, early signs regarding these domains have been examined one by one and it has been found that they are associated with later cognitive impairment and neurodegenerative disease. However, it was also found that each marker accounts for only a very small part of the total variance, implying that single markers should not be used as predictors for cognitive decline or neurodegenerative disease. It is discussed whether modeling and simulations should be used as tools to combine markers at different levels to increase the amount of explained variance.

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