Fruit-related Traits Research Articles

Estimation of phenotypic divergence in a collection of <i>Cucumis melo</i> from Kerala State, Southern India

A collection of melon (Cucumis melo L.) from Kerala state, Southern India, consisting of thirty three accessions was evaluated for 22 quantitative and 14 qualitative characteristics to estimate the phenotypic diversity. The collection showed appreciable phenotypic diversity in fruit related traits. Principal component analysis (PCA) was performed to determine the relationships among the populations. The analysis revealed that the variations in stem hair length, number of nodes per plant on 60th day, fruit shape, fruit length, fruit weight, fruit colour at ripening, fruit rind hardness, flesh colour, flesh firmness, quality of flesh, shelf life, seed colour were the principle characters to discriminate melon accessions evaluated in the present study. When the 33 populations were plotted on the first two principal components, accounting for 49.97% of the total variation, three clusters were identified, accounting for 36 morphological attributes used in the study. The greater part of diversity was accounted for fruit diameter, fruit weight, fruit length and width, fruit cavity length and diameter, seed length and colour. Flesh area of fruit, flesh thickness, leaf size, seed weight, seed index did not account for variation in the first six principal components of the melon collection. Scatter diagram segregated the acidulus and momordica into different clusters. This evaluation of fruit trait variability can assist geneticists and breeders to identify populations with desirable characteristics for inclusion in various breeding programmes.

Genetic and QTL analyses of yield and a set of physiological traits in pepper

An interesting strategy for improvement of a complex trait dissects the complex trait in a number of physiological component traits, with the latter having hopefully a simple genetic basis. The complex trait is then improved via improvement of its component traits. As first part of such a strategy to improve yield in pepper, we present genetic and QTL analyses for four pepper experiments. Sixteen traits were analysed for a population of 149 recombinant inbred lines, obtained from a cross between the large-fruited pepper cultivar ‘Yolo Wonder’ (YW) and the small fruited pepper ‘Criollo de Morelos 334’ (CM334). The marker data consisted of 493 markers assembled into 17 linkage groups covering 1,775 cM. The trait distributions were unimodal, although sometimes skewed. Many traits displayed heterosis and transgression. Heritabilities were high (mean 0.86, with a range between 0.43 and 0.96). A multiple QTL mapping approach per trait and environment yielded 24 QTLs. The average numbers of QTLs per trait was two, ranging between zero and six. The total explained trait variance by QTLs varied between 9 and 61 %. QTL effects differed quantitatively between environments, but not qualitatively. For stem-related traits, the trait-increasing QTL alleles came from parent CM334, while for leaf and fruit related traits the increasing QTL alleles came from parent YW. The QTLs on linkage groups 1b, 2, 3a, 4, 6 and 12 showed pleiotropic effects with patterns that were consistent with the genetic correlations. These results contribute to a better understanding of the genetics of yield-related physiological traits in pepper and represent a first step in the improvement of the target trait yield.

Quantitative trait loci influencing fruit-related characteristics of tomato grown in high-temperature conditions

The objective of this study was to identify molecular markers linked to fruit-related traits in the tomato subjected to high temperatures. In total, 160 F2 plants derived from a cross between a heat-tolerant breeding line, CL5915-93D4-1-0-3 (Solanum esculentum), and a heat-sensitive wild accession, L4422 (S. pimpinellifolium), were grown in a greenhouse. Six traits including fruit number, fruit weight, brix, seed number, fruit setting, and flower number were scored. The distributions of fruit number, fruit set, flower number, and seed number were skewed towards heat susceptibility which is known to be characteristic of L4422. Polymorphic bands were generated by PCR-derived methods of RAPD, ISSR and AFLP Polymorphism, the segregation ratio, and distribution over the genome of the above 3 markers were compared. Ten linkage groups, ranging 20.6–151.6 cM in size, were constructed with 62 informative markers spanning a total of 776.3 cM. Fruit-related quantitative trait loci (QTLs) were non-randomly distributed in the tomato genome. For the 6 traits investigated, 21 QTLs were dispersed on linkage groups 2–5. The genetic effects of the various QTLs were differently exhibited, in our study we have respectively found from 10.5% to 30.2% of the variation explained by the QTL for flower number (FRN4) and brix (BX2). Thirteen QTL-mapped markers were unique to 1 trait, and 4 markers were linked to more than 1 trait. Among them, QTLs linked to the I868-470 marker had effects on fruit weight and brix, and a significant positive correlation between these 2 traits was noted (r = 0.35, P < 0.05). Thus, the I868-470 marker may have the potential for simultaneous selection of high fruit weight and brix. These markers also allowed us to align genome linkage maps across distantly related species and to reveal the co-localization between these QTLs and major genes.

Genetic mapping and QTL analysis of fruit and flower related traits in cucumber (Cucumis sativus L.) using recombinant inbred lines

A set of 224 recombinant inbred lines (RILs) derived from a narrow cross between two fresh eaten types (S94 (Northern China type) × S06 (Northern European type)) (Cucumis sativus L.) was used to construct a genetic linkage map. With the RILs a 257-point genetic map was constructed including 206 SRAPs, 22 SSRs, 25 SCARs, 1 STS, and three economically important morphological markers (small spines (ss), uniform immature fruit color (u), dull fruit skin (D)). The seven linkage groups covered 1005.9 cM with a mean marker interval of 3.9 cM. The ss locus was linked to D and u, and they were all on Linkage group 6. The RIL map contained a total of 51 sequence-specific markers, which made possible the comparison of molecular linkage maps developed in different laboratories. Using the F6:7 derived families, a total of 78 QTLs were detected with relatively high LOD scores (2.9–84.4) for nine fruit-related traits (fruit weight, length, and diameter, fruit flesh thickness, seed-cavity diameter, fruit-stalk length, fruit pedicel length, length/diameter and length/stalk ratio) and three flower-related traits (first flower node, first female flower node and female flower ratios). Several sequence-anchor markers (CSWCT25, CS30, CMBR41, CS08 etc.) were closely linked with some QTLs for fruit weight, fruit length, fruit flesh thickness and sex expression, which can be used for the future marker-assisted selection to improve the fruit traits in cucumber breeding.

QTL mapping of fruit-related traits in pepper (Capsicum annuum)

QTL analysis of pepper fruit characters was performed in an F3 population derived from a cross between two Capsicum annuum genotypes, the bell-type cultivar Maor and the Indian small-fruited line Perennial. RFLP, AFLP®1, RAPD and morphological markers (a total of 177) were used to construct a comparative pepper-tomato genetic map for this cross, and 14 quantitatively inherited traits were evaluated in 180 F3 families. A total of 55 QTL were identified by interval analysis using LOD 3.0 as the threshold for QTL detection. QTL for several traits including fruit diameter and weight, pericarp thickness and pedicel diameter were often located in similar chromosomal regions, thus reflecting high genetic correlations among these traits. A major QTL that accounts for more than 60% of the phenotypic variation for fruit shape (ratio of fruit length to fruit diameter) was detected in chromosome 3. This chromosome also contained QTL for most of the traits scored in the population. Markers in linkage groups 2, 3, 8 and 10 were associated with QTL for multiple traits, thereby suggesting their importance as loci that control developmental processes in pepper. Several QTL in pepper appeared to correspond to positions in tomato for loci controlling the same traits, suggesting the hypothesis that these QTL may be orthologous in the two species.