Limits...
hi2-1, a QTL which improves harvest index, earliness and alters metabolite accumulation of processing tomatoes.

Gur A, Osorio S, Fridman E, Fernie AR, Zamir D - Theor. Appl. Genet. (2010)

Bottom Line: Most of the QTL mapped for these traits display negative agronomic effects; however, hi2-1 is a unique QTL displaying improved harvest index and earliness.Based on this analysis the phenotypic effects for plant weight, Brix, total yield and earliness were co-mapped to the same region.These QTL mapped to the same candidate region, suggesting that hi2-1 is either a single gene with pleiotropic effects or represents linked genes independently affecting these traits.

View Article: PubMed Central - PubMed

Affiliation: The Institute of Plant Sciences and Genetics in Agriculture, Faculty of Agriculture, The Hebrew University of Jerusalem, P.O. Box 12, Rehovot, 76100, Israel.

ABSTRACT
Harvest index, defined as the ratio of reproductive yield to total plant biomass, and early ripening are traits with important agronomic value in processing tomatoes. The Solanum pennellii introgression-line (IL) population shows variation for harvest index and earliness. Most of the QTL mapped for these traits display negative agronomic effects; however, hi2-1 is a unique QTL displaying improved harvest index and earliness. This introgression was tested over several years and under different genetic backgrounds. Thirty-one nearly isogenic sub-lines segregating for the 18 cM TG33-TG276 interval were used for fine mapping of this multi-phenotypic QTL. Based on this analysis the phenotypic effects for plant weight, Brix, total yield and earliness were co-mapped to the same region. In a different mapping experiment these sub-lines were tested as heterozygotes in order to map the harvest index QTL which were only expressed in the heterozygous state. These QTL mapped to the same candidate region, suggesting that hi2-1 is either a single gene with pleiotropic effects or represents linked genes independently affecting these traits. Metabolite profiling of the fruit pericarp revealed that a number of metabolic QTL co-segregate with the harvest index trait including those for important transport assimilates such as sugars and amino acids. Analysis of the flowering pattern of these lines revealed induced flowering at IL2-1 plants, suggest that hi2-1 may also affect harvest index and early ripening by changing plant architecture and flowering rate.

Show MeSH
Phenotypic values for total fruit yield (TY), plant vegetative weight (PW), Brix yield (BY) and harvest index (HI) on the dry and wet fields. Mean values ± SE for IL2-1, ILH2-1 and M82 are presented. Black bars represent values from the irrigated field. Empty bars are the dry field values. P value for the genotype × environment interaction (G × E) is presented for each trait. Values indicated with different letters were determined significantly different by ANOVA. Black bars wet conditions and white bars dry conditions
© Copyright Policy
Related In: Results  -  Collection


getmorefigures.php?uid=PMC2963733&req=5

Fig5: Phenotypic values for total fruit yield (TY), plant vegetative weight (PW), Brix yield (BY) and harvest index (HI) on the dry and wet fields. Mean values ± SE for IL2-1, ILH2-1 and M82 are presented. Black bars represent values from the irrigated field. Empty bars are the dry field values. P value for the genotype × environment interaction (G × E) is presented for each trait. Values indicated with different letters were determined significantly different by ANOVA. Black bars wet conditions and white bars dry conditions

Mentions: We next compared IL2-1 and ILH2-1 to M82 both under irrigated and dry conditions (Fig. 5). The purpose of this comparison was to evaluate the potential of IL2-1 for the improvement of drought tolerance, based on the rationale that harvest index and earliness are proposed mechanisms for drought tolerance (Hsieh et al. 2002; Kalifa et al. 2004; Bartels and Sunkar 2005) and on the observed improved performance of this genotype under optimal irrigation. In the M82, PW in the dry field was significantly reduced by 40% compared to the irrigated field. In contrast, in both IL2-1 and ILH2-1 there was no significant difference in PW between the two irrigation regimes (Fig. 5a). For TY, there was significant reduction of 55% in M82 grown under dry field conditions, whilst in IL2-1 and ILH2-1 the reduction was only of 10 and 35%, respectively (Fig. 5b). For Brix × Yield (BY), which represents the sugar output per unit area there was a significant reduction of 40% in M82, whilst both IL2-1 and ILH2-1 were invariant to the wet field controls (Fig. 5c). Moreover, ILH2-1 had a 25% higher BY value compared to M82, in the dry field, although it must be noted that this difference was not statistically significant. This differential response to the drought stress of IL2-1 and ILH2-1 compared to M82 is supported by the significant genotype × environment interactions that were found for these traits (Fig. 5). In contrast, when analyzing the harvest index (HI) minor increase in both dry and wet conditions was observed (Fig. 5d). Surprisingly in this harvest there was only a significant increase in ILH2-1 (irrigated conditions) and only a minor increase in IL2-1 itself. As such we were unable to access this parameter reliable in this harvest and further studies are thus required in order to achieve this goal.Fig. 5


hi2-1, a QTL which improves harvest index, earliness and alters metabolite accumulation of processing tomatoes.

Gur A, Osorio S, Fridman E, Fernie AR, Zamir D - Theor. Appl. Genet. (2010)

Phenotypic values for total fruit yield (TY), plant vegetative weight (PW), Brix yield (BY) and harvest index (HI) on the dry and wet fields. Mean values ± SE for IL2-1, ILH2-1 and M82 are presented. Black bars represent values from the irrigated field. Empty bars are the dry field values. P value for the genotype × environment interaction (G × E) is presented for each trait. Values indicated with different letters were determined significantly different by ANOVA. Black bars wet conditions and white bars dry conditions
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2963733&req=5

Fig5: Phenotypic values for total fruit yield (TY), plant vegetative weight (PW), Brix yield (BY) and harvest index (HI) on the dry and wet fields. Mean values ± SE for IL2-1, ILH2-1 and M82 are presented. Black bars represent values from the irrigated field. Empty bars are the dry field values. P value for the genotype × environment interaction (G × E) is presented for each trait. Values indicated with different letters were determined significantly different by ANOVA. Black bars wet conditions and white bars dry conditions
Mentions: We next compared IL2-1 and ILH2-1 to M82 both under irrigated and dry conditions (Fig. 5). The purpose of this comparison was to evaluate the potential of IL2-1 for the improvement of drought tolerance, based on the rationale that harvest index and earliness are proposed mechanisms for drought tolerance (Hsieh et al. 2002; Kalifa et al. 2004; Bartels and Sunkar 2005) and on the observed improved performance of this genotype under optimal irrigation. In the M82, PW in the dry field was significantly reduced by 40% compared to the irrigated field. In contrast, in both IL2-1 and ILH2-1 there was no significant difference in PW between the two irrigation regimes (Fig. 5a). For TY, there was significant reduction of 55% in M82 grown under dry field conditions, whilst in IL2-1 and ILH2-1 the reduction was only of 10 and 35%, respectively (Fig. 5b). For Brix × Yield (BY), which represents the sugar output per unit area there was a significant reduction of 40% in M82, whilst both IL2-1 and ILH2-1 were invariant to the wet field controls (Fig. 5c). Moreover, ILH2-1 had a 25% higher BY value compared to M82, in the dry field, although it must be noted that this difference was not statistically significant. This differential response to the drought stress of IL2-1 and ILH2-1 compared to M82 is supported by the significant genotype × environment interactions that were found for these traits (Fig. 5). In contrast, when analyzing the harvest index (HI) minor increase in both dry and wet conditions was observed (Fig. 5d). Surprisingly in this harvest there was only a significant increase in ILH2-1 (irrigated conditions) and only a minor increase in IL2-1 itself. As such we were unable to access this parameter reliable in this harvest and further studies are thus required in order to achieve this goal.Fig. 5

Bottom Line: Most of the QTL mapped for these traits display negative agronomic effects; however, hi2-1 is a unique QTL displaying improved harvest index and earliness.Based on this analysis the phenotypic effects for plant weight, Brix, total yield and earliness were co-mapped to the same region.These QTL mapped to the same candidate region, suggesting that hi2-1 is either a single gene with pleiotropic effects or represents linked genes independently affecting these traits.

View Article: PubMed Central - PubMed

Affiliation: The Institute of Plant Sciences and Genetics in Agriculture, Faculty of Agriculture, The Hebrew University of Jerusalem, P.O. Box 12, Rehovot, 76100, Israel.

ABSTRACT
Harvest index, defined as the ratio of reproductive yield to total plant biomass, and early ripening are traits with important agronomic value in processing tomatoes. The Solanum pennellii introgression-line (IL) population shows variation for harvest index and earliness. Most of the QTL mapped for these traits display negative agronomic effects; however, hi2-1 is a unique QTL displaying improved harvest index and earliness. This introgression was tested over several years and under different genetic backgrounds. Thirty-one nearly isogenic sub-lines segregating for the 18 cM TG33-TG276 interval were used for fine mapping of this multi-phenotypic QTL. Based on this analysis the phenotypic effects for plant weight, Brix, total yield and earliness were co-mapped to the same region. In a different mapping experiment these sub-lines were tested as heterozygotes in order to map the harvest index QTL which were only expressed in the heterozygous state. These QTL mapped to the same candidate region, suggesting that hi2-1 is either a single gene with pleiotropic effects or represents linked genes independently affecting these traits. Metabolite profiling of the fruit pericarp revealed that a number of metabolic QTL co-segregate with the harvest index trait including those for important transport assimilates such as sugars and amino acids. Analysis of the flowering pattern of these lines revealed induced flowering at IL2-1 plants, suggest that hi2-1 may also affect harvest index and early ripening by changing plant architecture and flowering rate.

Show MeSH