scholarly journals Mapping Quantitative Trait Loci in the Woody Perennial Plant Genus Citrus

1995 ◽  
Author(s):  
Gloria A. Moore ◽  
Gozal Ben-Hayyim ◽  
Charles L. Guy ◽  
Doron Holland
Keyword(s):  
Molecular Markers ◽  
Quantitative Trait Loci ◽  
Linkage Map ◽  
Quantitative Trait ◽  
Cold Hardiness ◽  
Molecular Genetic ◽  
Citrus Fruit ◽  
Perennial Crop ◽  
Perennial Plant ◽  
Trait Loci

As is true for all crops, production of Citrus fruit is limited by traits whose characteristics are the products of many genes (i.e. cold hardiness). In order to modify these traits by marker aided selection or molecular genetic techniques, it is first necessary to map the relevant genes. Mapping of quantitative trait loci (QTLs) in perennial plants has been extremely difficult, requiring large numbers of mature plants. Production of suitable mapping populations has been inhibited by aspects of reproductive biology (e.g. incompatibility, apomixis) and delayed by juvenility. New approaches promise to overcome some of these obstacles. The overall objective of this project was to determine whether QTLs for environmental stress tolerance could be effectively mapped in the perennial crop Citrus, using an extensive linkage map consisting of various types of molecular markers. Specific objectives were to: 1) Produce a highly saturated genetic linkage map of Citrus by continuing to place molecular markers of several types on the map. 2) Exploiting recently developed technology and already characterized parental types, determine whether QTLs governing cold acclimation can be mapped using very young seedling populations. 3) Determine whether the same strategy can be transferred to a different situation by mapping QTLs influencing Na+ and C1- exclusion (likely components of salinity tolerance) in the already characterized cross and in new alternative crosses. 4) Construct a YAC library of the citrus genome for future mapping and cloning.

Mapping quantitative trait loci for a common bean (Phaseolus vulgaris L.) ideotype

Genome ◽  
2003 ◽  
Vol 46 (3) ◽  
pp. 411-422 ◽  
Author(s):  
Aaron D Beattie ◽  
Jamie Larsen ◽  
Tom E Michaels ◽  
K Peter Pauls
Keyword(s):  
Molecular Markers ◽  
Quantitative Trait Loci ◽  
Phaseolus Vulgaris ◽  
Linkage Map ◽  
Quantitative Trait ◽  
Phenotypic Selection ◽  
Phenotypic Variance ◽  
Phaseolus Vulgaris L ◽  
Trait Loci ◽  
Selection Of

Breeding a model plant that encompasses individual traits thought to enhance yield potential, known as ideotype breeding, has traditionally focused on phenotypic selection of plants with desirable morphological traits. Broadening this breeding method to the molecular level through the use of molecular markers would avoid the environmental interactions associated with phenotypic selection. A population of 110 F5 recombinant inbred lines (RILs), derived from the cross between WO3391 and 'OAC Speedvale', was used to develop a genetic linkage map consisting of 105 random amplified polymorphic DNA (RAPD), simple sequence repeat (SSR), and sequence-tagged site (STS) markers. The map has a total length of 641 cM distributed across 8 linkage groups (LGs). Five of them were aligned on the core linkage map of bean. Twenty-one quantitative trait loci (QTLs) were identified over three environments for eight agronomic and architectural traits previously defined for a bean (Phaseolus vulgaris L.) ideotype. The QTLs were mapped to seven LGs with several regions containing QTLs for multiple traits. At least one QTL was located for each trait and a maximum of four were associated with lodging. Total explained phenotypic variance ranged from 10.6% for hypocotyl diameter to 45.4% for maturity. Some of the QTLs identified will be useful for early generation selection of tall, upright, high-yielding lines in a breeding program.Key words: molecular markers, genetic map, plant architecture, yield.

scholarly journals A consensus linkage map for molecular markers and Quantitative Trait Loci associated with economically important traits in melon (Cucumis melo L.)

2011 ◽  
Vol 11 (1) ◽  
pp. 111 ◽  
Author(s):  
Aurora Diaz ◽  
Mohamed Fergany ◽  
Gelsomina Formisano ◽  
Peio Ziarsolo ◽  
José Blanca ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Quantitative Trait Loci ◽  
Linkage Map ◽  
Quantitative Trait ◽  
Cucumis Melo ◽  
Trait Loci ◽  
Cucumis Melo L

scholarly journals Mapping Quantitative Trait Loci for Resistance to Fall Armyworm (Lepidoptera: Noctuidae) Leaf-Feeding Damage in Maize Inbred Mp705

2020 ◽  
Vol 113 (2) ◽  
pp. 956-963 ◽  
Author(s):  
E D Womack ◽  
W P Williams ◽  
J S Smith ◽  
M L Warburton ◽  
D Bhattramakki
Keyword(s):  
Molecular Markers ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Fall Armyworm ◽  
Phenotypic Variance ◽  
Feeding Damage ◽  
Artificial Infestation ◽  
Lepidopteran Insects ◽  
Trait Loci ◽  
Important Pest

Abstract The fall armyworm, Spodoptera frugiperda (J. E. Smith), is an agronomically important pest that severely limits maize (Zea mays (Linnaeus) [Poales: Poaceae]) production. This migrant insect devastates maize plants in many countries threatening the livelihood of millions. Quantitative trait loci (QTL) were mapped to identify chromosomal regions that control resistance to fall armyworm leaf-feeding and to identify molecular markers linked to the target loci for use in marker-assisted selection (MAS). A bi-parental mapping population, comprising 243 F2:3 families from the cross Mp705 (resistant) × Mp719 (susceptible), was evaluated for fall armyworm leaf-feeding damage under artificial infestation over 3 yr. A linkage map comprised of 1,276 single-nucleotide polymorphism and simple sequence repeat molecular markers was constructed. Quantitative trait loci analyses identified two major QTL in bins 4.06 and 9.03 that when combined, explained 35.7% of the phenotypic variance over all environments. Mp705 was responsible for the leaf-feeding damage reducing alleles for both large effect QTL and most of the small effect QTL identified in this study. The QTL identified in bin 9.03 co-locates with a previously identified QTL that controls resistance to leaf-feeding damage in maize by fall armyworm and other lepidopteran insects. The QTL in bin 4.06 is a new source of resistance identified in this study. Beneficial alleles derived from Mp705 for the application of an integrated QTL-MAS approach could accelerate breeding efforts to minimize fall armyworm leaf-feeding in maize.

Theobroma cacao L.: a genetic linkage map and quantitative trait loci analysis

1996 ◽  
Vol 93 (1-2) ◽  
pp. 205-214 ◽  
Author(s):  
D. Crouzillat ◽  
E. Lerceteau ◽  
V. Petiard ◽  
J. Morera ◽  
H. Rodriguez ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Linkage Map ◽  
Quantitative Trait ◽  
Theobroma Cacao ◽  
Genetic Linkage ◽  
Genetic Linkage Map ◽  
Trait Loci ◽  
Theobroma Cacao L

scholarly journals Chromosomal segments underlying quantitative trait loci for mohair production in Angora goats

2009 ◽  
Vol 45 ◽  
pp. 107-112 ◽  
Author(s):  
E.M. Cano ◽  
S. Debenedetti ◽  
M. Abad ◽  
D. Allain ◽  
H.R. Taddeo ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Fibre Diameter ◽  
Average Fibre Diameter ◽  
A Genome ◽  
Argentinean Patagonia ◽  
Trait Loci ◽  
Average Fibre ◽  
Angora Goats

SummaryThis study reports the results obtained in the search of chromosomal regions affecting fleece traits in a population of Angora goats in the Argentinean Patagonia. Six hundred thirty-four offspring from 14 parental half-sib families were used. Nine phenotypic fleece traits were recorded at 4 and 11 months of age. A genome examination using 85 informative molecular markers was conducted. A linkage analysis was performed using a regression interval analysis. Our study identified 10 genomic regions affecting the average fibre diameter, coefficient of variation of the average fibre diameter, percentage of fibres with diameters over 30 µm, greasy fleece weight, staple length, average curvature of fibres, percentage of continuous medullated fibres and percentage of kemp fibres located on five goat chromosomes (1, 2, 5, 13 and 19). These results show that the average size of the quantitative trait loci effect was 1.6 phenotypic standard deviations for different traits and families. The aims of quantitative trait loci detection is the potential use of these molecular markers to increase accuracy in predicting the genetic merit of breeding and its implementation in animal breeding schemes through marker-assisted selection.

Mapping of quantitative trait loci underlying resistance to cassava anthracnose disease

2015 ◽  
Vol 154 (7) ◽  
pp. 1209-1217 ◽  
Author(s):  
A. BOONCHANAWIWAT ◽  
S. SRAPHET ◽  
S. WHANKAEW ◽  
O. BOONSENG ◽  
D. R. SMITH ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Linkage Map ◽  
Dna Markers ◽  
Quantitative Trait ◽  
Genetic Linkage ◽  
Genetic Linkage Map ◽  
Gene Annotation ◽  
Linkage Groups ◽  
Anthracnose Disease ◽  
Trait Loci

SUMMARYCassava (Manihot esculenta Crantz) is an economically important root crop in Thailand, which is ranked the world's top cassava exporting country. Production of cassava can be hampered by several pathogens and pests. Cassava anthracnose disease (CAD) is an important disease caused by the fungus Colletotrichum gloeosporioides f. sp. manihotis. The pathogen causes severe stem damage resulting in yield reductions and lack of stem cuttings available for planting. Molecular studies of cassava response to CAD will provide useful information for cassava breeders to develop new varieties with resistance to the disease. The current study aimed to identify quantitative trait loci (QTL) and DNA markers associated with resistance to CAD. A total of 200 lines of two F1 mapping populations were generated by reciprocal crosses between the varieties Huabong60 and Hanatee. The F1 samples were genotyped based on simple sequence repeat (SSR) and expressed sequence tag-SSR markers and a genetic linkage map was constructed using the JoinMap®/version3·0 program. The results showed that the map consisted of 512 marker loci distributed on 24 linkage groups with a map length of 1771·9 centimorgan (cM) and a mean interval between markers of 5·7 cM. The genetic linkage map was integrated with phenotypic data for the response to CAD infection generated by a detached leaf assay test. A total of three QTL underlying the trait were identified on three linkage groups using the MapQTL®/version4·0 program. Those DNA markers linked to the QTL that showed high statistically significant values with the CAD resistance trait were identified for gene annotation analysis and 23 candidate resistance genes to CAD infection were identified.

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