Linkage of the A locus for the presence of anthocyanin and fs10.1, a major fruit-shape QTL in pepper

Chaim, A. Ben; Borovsky, Yelena; Jong, Walter De; Paran, Ilan

doi:10.1007/s00122-002-1132-9

Cited by 77 publications

(56 citation statements)

References 25 publications

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“…Nevertheless, the genes controlling this variation have not yet been identified. We recently mapped A to pepper chromosome 10 in a region that corresponds to the chromosomal regions containing ag in tomato, F and I in potato and a major gene for the presence of anthocyanin in eggplant fruit (Ben Chaim et al 2003;Doganlar et al 2002;Pillen et al 1996), indicating that these loci are likely to be orthologous. The mapping of structural and regulatory genes of the anthocyanin biosynthetic pathway in tomato indicated that Petunia An2 mapped to chromosome 10, to the same region where the A locus mapped in pepper (Ben Chaim et al 2003).…”

Section: Introductionmentioning

confidence: 96%

The A locus that controls anthocyanin accumulation in pepper encodes a MYB transcription factor homologous to Anthocyanin2 of Petunia

et al. 2004

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Pepper plants containing the dominant A gene accumulate anthocyanin pigments in the foliage, flower and immature fruit. We previously mapped A to pepper chromosome 10 in the F(2) progeny of a cross between 5226 (purple-fruited) and PI 159234 (green-fruited) to a region that corresponds, in tomato, to the location of Petunia anthocyanin 2 ( An2), a regulator of anthocyanin biosynthesis. This suggested that A encodes a homologue of Petunia An2. Using the sequences of An2 and a corresponding tomato expressed sequence tag, we isolated a pepper cDNA orthologous to An2 that cosegregated with A. We subsequently determined the expression of A by Northern analysis, using RNA extracted from fruits, flowers and leaves of 5226 and PI 159234. In 5226, expression was detected in all stages of fruit development and in both flower and leaf. In contrast, A was not expressed in the sampled tissues in PI 159234. Genomic sequence comparison of A between green- and purple-fruited genotypes revealed no differences in the coding region, indicating that the lack of expression of A in the green genotypes can be attributed to variation in the promoter region. By analyzing the expression of the structural genes in the anthocyanin biosynthetic pathway in 5226 and PI 159234, it was determined that, similar to Petunia, the early genes in the pathway are regulated independently of A, while expression of the late genes is A-dependent.

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Section: Introductionmentioning

confidence: 96%

The A locus that controls anthocyanin accumulation in pepper encodes a MYB transcription factor homologous to Anthocyanin2 of Petunia

et al. 2004

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“…In the case of pepper, genes controlling anthocyanin biosynthesis have been mapped to chromosome 10. Both A and Fc were mapped in the same position of chromosome 10, suggesting that they are allelic (Chaim et al, 2003).…”

Section: Genetic Background Of Anthocyanin Biosynthesismentioning

confidence: 98%

“…There are various species of Capsicum spp. which show anthocyanin pigmentation not only in their fruits but in the flowers and foliage as well , however flower organs are rarely coloured (Chaim et al, 2003). Although, in a mutant collection comprising of almost 400 mutations maintained by Gábor Csilléry ( Figure 1) different vegetative and generative organs show anthocyanin colouration ( Figure 2) (Csilléry, 2016b, a).…”

Section: Anthocyaninsmentioning

confidence: 99%

“…Thanks to the ever detailed genetic map of C. annuum linkage groups of different economically important genes have been described (Prince et al, 1993;Yi et al, 2006;Lee et al, 2009;Wu et al, 2009;Cheng et al, 2016). For example: anthocyaninless gene could possibly be linked to the L 3 gene of TMV resistance (Csilléry and Ruskó, 1980;Zatykó and Moór, 1998), linkage of A to a major quantitative trait locus for fruit shape index fs10.1 -or locus O that is responsible for the round shaped fruit -has been described both in pepper and in potato (Peterson, 1959;Chaim et al, 2003)). The anthocyaninless gene is also used as a marker in producing hybrid lines, where anthocyaninless, male-sterile plants are used as female crossing partners (Csillery et al, 1986).…”

Section: Factors Affecting Purple Colourationmentioning

confidence: 99%

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Characteristics and regulation of anthocyanin biosynthesis in pepper-review

Kovács¹,

Csilléry²,

Szőke³

et al. 2017

Columella

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Pepper is an important horticultural crop due to its culinary as well as ornamental applications. Some Capsicum varieties build up anthocyanins in their different organs. The biosynthesis of these pigments – beside genetic determinism – depends on diverse factors such as the environment, developmental stage and type of tissue. Though anthocyanin biosynthetic pathway has been first described in the 1800s and from then on it has been well established even in species belonging to Solenaceae, information on the pathway is scarce in case of Capsicum spp. This review comprises the current knowledge on the biochemistry and molecular biology of the anthocyanin biosynthetic pathway.

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“…Other studies have also looked into fruit-related traits (Lefebvre et al, 1998;Ben Chaim et al, 2001b;Chaim et al, 2003;Rao et al, 2003;Wang et al, 2004;Zygier et al, 2005;Ben Chaim et al, 2006b;Lee et al, 2008;Barchi et al, 2009). Results from these studies revealed clusters of QTLs on chromosomes 2, 3 and 4 for fruit traits such as fruit weight/yield, diameter, length and shape.…”

Section: Introductionmentioning

confidence: 99%

Statistical methods for QTL mapping and genomic prediction of multiple traits and environments: case studies in pepper

Alimi

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In this thesis we describe the results of a number of quantitative techniques that were used to understand the genetics of yield in pepper as an example of complex trait measured in a number of environments. Main objectives were; i) to propose a number of mixed models to detect QTLs for multiple traits and multiple environments, ii) to extend the multi-trait QTL models to a multi-trait genomic prediction model, iii) to study how well the complex trait yield can be indirectly predicted from its component traits, and iv) to understand the 'causal' relationships between the target trait yield and its component traits.The thesis is part of an EU-FP7 project "Smart tools for Prediction and Improvements of Crop Yield" (SPICY-http://www.spicyweb.eu/). This project generated phenotypic data from four environments using 149 individuals from the sixth generation of recombinant inbred lines obtained from intraspecific cross between large -fruited inbred pepper cultivar 'Yolo Wonder' (YW) and the hot pepper cultivar 'Criollo de Morelos 334' (CM 334). A total of 16 physiological traits were evaluated across the four trials and various types of genetic parameters were estimated. In a first analysis, the traits were univariately analyzed using linear mixed model. Trait heritabilities were generally large (ranging between 0.43 -0.96 with an average of 0.86) and mostly comparable across trials while many of the traits displayed heterosis and transgression. The same QTLs were detected across the four trials, though QTL magnitude differed for many of the traits. We also found that some QTLs affected more than one trait, suggesting QTL pleiotropy (a QTL region affecting more than one trait). We discussed our results in the light of previously reported QTLs for these and similar traits in pepper.We addressed the presence of genotype-by-environment interaction (GEI) in yield and the other traits through a multi-environment (ME) mixed model methodology with terms for QTL-by-environment interaction (QEI). We opined that yield would benefit from joint analysis with other traits and so deployed two other mixed model based multi-response QTL approaches: a multi-trait approach (MT) and a multi-trait multi-environment approach (MTME). For yield as well as the other traits, MTME was superior to ME and MT in the number of QTLs, the explained variance and accuracy of predictions. Many of the detected QTLs were pleiotropic and showed quantitative QEI. The results confirmed the feasibility and strengths of novel mixed model QTL methodology to study the architecture of complex traits.The QTL methods considered thus far are not well suited for prediction purposes as only a limited set of QTL-related markers are used. Since the main interest of this research includes improvement of yield prediction, we explored both single-trait and multi-trait versions of genomic prediction (GP) models as alternatives to the QTL-based prediction (QP) models. This was termed direct prediction. The methods differed in their predictive accuracies with GP meth...

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Linkage of the A locus for the presence of anthocyanin and fs10.1, a major fruit-shape QTL in pepper

Cited by 77 publications

References 25 publications

The A locus that controls anthocyanin accumulation in pepper encodes a MYB transcription factor homologous to Anthocyanin2 of Petunia

The A locus that controls anthocyanin accumulation in pepper encodes a MYB transcription factor homologous to Anthocyanin2 of Petunia

Characteristics and regulation of anthocyanin biosynthesis in pepper-review

Statistical methods for QTL mapping and genomic prediction of multiple traits and environments: case studies in pepper

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