Identifying and mapping genes of economic significance

Weeden, N. F.; Timmerman, G. M.; Lü, Jing

doi:10.1007/bf00027194

Cited by 18 publications

(9 citation statements)

References 44 publications

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“…In their study, the authors show the presence of repeated sequences which were reminiscent of microsatellites in the Stilbene synthasechalcone synthase gene [31]. The molecular markers described will be of general interest for integrating all existing maps in pea as they are homologous PCR-based markers.…”

Section: Genetic Mappingmentioning

confidence: 90%

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Variability in six pea gene sequences and mapping through PCR-based markers

et al. 1998

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Section: Genetic Mappingmentioning

confidence: 90%

“…We investigated exons, introns and 5'UTR sequences in six genes. Sequence polymorphism was shown to be present in all the sequenced genes and these markers are good landmarks for the pea consensus genetic map whose construction is hampered by chromosomal rearrangements and a lack of anchor markers [31]. The [10].…”

mentioning

confidence: 99%

Variability in six pea gene sequences and mapping through PCR-based markers

et al. 1998

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“…Selecting plants in a segregating progeny that contain appropriate combinations of genes is a critical component of plant breeding (Ribaut and Betran, 1999;Weeden et al, 1994). Moreover, plant breeders typically work with hundreds or even thousands of populations, which often contain large numbers (Ribaut and Betran, 1999;Witcombe and Virk, 2001).…”

Section: Marker-assisted Selectionmentioning

confidence: 99%

Recent Advances in QTL Mapping and Quantitative Disease Resistance Approach

Sheikh¹

2017

Int.J.Curr.Microbiol.App.Sci

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Quantitative trait locus (QTL) mapping is a highly effective approach for studying genetically complex forms of plant disease resistance. With QTL mapping, the roles of specific resistance loci can be described, race-specificity of partial resistance genes can be assessed and interactions between resistance genes, plant development and the environment can be analysed (Young, 1996). DNA markers tightly linked to quantitative resistance loci (QRLs) controlling QDR can be used for marker-assisted selection (MAS) to incorporate these valuable traits. QDR confers a reduction, rather than lack, of disease and has diverse biological and molecular bases as revealed by cloning of QRLs and identification of the candidate gene(s) underlying QRLs (Dina St. Clair, 2010). Outstanding examples include: quantitative resistance to the rice blast fungus, late blight of potato, bacterial wilt of tomato, and the soybean cyst nematode. These studies provide insights into the number of quantitative resistance loci involved in complex disease resistance, epistasis and environmental interactions, race-specificity of partial resistance loci, interactions between pathogen biology, plant development. A thorough understanding of quantitative disease resistance (QDR) would contribute to the design and deployment of durably resistant crop cultivars. However, the molecular mechanisms that control QDR remain poorly understood, largely due to the incomplete and inconsistent nature of the resistance phenotype, which is usually conditioned by many loci of small effect (Jesse Poland et al., 2008). QTL mapping methods for complex traits are challenged by new developments in marker technology, phenotyping platforms and breeding methods. Thus QTL mapping approaches will need to also acknowledge the central roles of QTL by environment interactions (QEI) and QTL by trait interactions in the expression of complex traits (Fred van Eeuwijk et al., 2010). DNA marker technology, QTL theory and statistical methodology for QTL analysis have undergone rapid developments in the past two decades. These concepts and the jargon used by molecular biologists may not be clearly understood by plant breeders and other plant scientists (Collard et al., 2005). Host pattern recognition receptor (HPRR) genes, and defenseresponsive or defense-related genes are important resources for quantitative broad spectrum resistance and durable resistance (Yanjun Kou and Shiping Wang, 2010). Adaptation to the hypersensitive R-genes by fungal and bacterial specialists is quite different from the adaptations to polygenic quantitative resistance. In first case a loss mutation in the avirulence gene results in restoring the pathogenicity. In the latter, exemplified by the cereals/take-all pathosystem, the mutation is due to a gain mutation. Adaptation by a loss mutation is expected to be much easier than adaptation through a gain mutation. This is the main reason for the large difference in durability (Jan Parlevliet).QRLs for which the phenotypic effects on QDR have been verified and for...

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“…Selecting the plants in the segregating population that have the suitable gene combinations is the important component of plant breeding (Weeden et al, 1993). Once the markers tightly linked to the genes that are to be detected, breeders may use particular DNA marker to identify the plants carry the genes.…”

Section: Marker-assisted Selection (Mas)mentioning

confidence: 99%