RESUMO
Sex form is one of the most important characteristics in papaya cultivation in which hermaphrodite is the preferable form. Self-pollination of H*-TSS No.7, an inbred line derived from a rare X chromosome mutant SR*, produced all-hermaphrodite progeny. The recessive lethal allele controlling the all-hermaphrodite phenomenon was proposed to be the recessive Germination suppressor (gs) locus. This study employed next-generation sequencing technology and genome comparison to identify the candidate Gs gene. One specific gene, monodehydroascorbate reductase 4 (MDAR4) harboring a unique polymorphic 3 bp deletion in H*-TSS No.7 was identified. The function of MDAR4 is known to be involved in the hydrogen peroxide (H2O2) scavenging pathway and is associated with seed germination. Furthermore, MDAR4 showed higher expression in the imbibed seeds than that in the dry seeds indicating its potential role in the seed germination. Perhaps this is the very first report providing the evidences that MDAR4 is the candidate of Gs locus in H*-TSS No.7. In addition, Gs allele-specific markers were developed which would be facilitated for breeding all-hermaphrodite lines.
Assuntos
Carica/genética , Cromossomos de Plantas/genética , Organismos Hermafroditas/genética , NADH NADPH Oxirredutases/genética , Genoma de Planta/genética , Germinação/genética , Peróxido de Hidrogênio/metabolismo , Polinização/genética , Polinização/fisiologia , Sementes/crescimento & desenvolvimento , Deleção de Sequência/genéticaRESUMO
Pumpkins are important vegetable crops widely grown worldwide, and seeds are considered a popular nutraceutical food and an excellent source of protein, oil, and vitamins. Seed size is one of the most important targets for commercial breeding in Cucurbita species; studies have shown that pumpkin seed size variation has a similar trend with fruit size, shape, and seed yield. However, few studies have been conducted to identify genetic loci controlling seed-related traits in cultivated pumpkins. This study analyzed the genomic characteristics of pumpkin breeding materials of 321 Cucurbita accessions collected worldwide, including Cucurbita moschata, Cucurbita maxima, and Cucurbita pepo, using extensive single nucleotide polymorphisms obtained from the genotyping-by-sequencing method, significant genetic variations were identified within and between Cucurbita species. Four major cultivar fruit types were further revealed in C. moschata species, and significant differentiation patterns were detected in several chromosomal regions. A total of 15 significant loci associated with pumpkin seed traits were mapped through a genome-wide association approach; 32 genes previously reported to be associated with seed size regulation in Arabidopsis and Oryza sativa were located in the intervals defined by linkage disequilibrium. Through this study, we gained a deep understanding of the genomic variation distribution across Cucurbita species. The available genetic resources and the associated genetic contents could be used in commercial pumpkin breeding and will facilitate molecular marker-assisted selection in pumpkin seed trait improvement.
Assuntos
Cucurbita , Cucurbita/genética , Estudo de Associação Genômica Ampla , Melhoramento Vegetal , Sementes/genética , GenômicaRESUMO
Genomic prediction has become an increasingly popular tool for hybrid performance evaluation in plant breeding mainly because that it can reduce cost and accelerate a breeding program. In this study, we propose a systematic procedure to predict hybrid performance using a genomic selection (GS) model that takes both additive and dominance marker effects into account. We first demonstrate the advantage of the additive-dominance effects model over the only additive effects model through a simulation study. Based on the additive-dominance model, we predict genomic estimated breeding values (GEBVs) for individual hybrid combinations and their parental lines. The GEBV-based specific combining ability (SCA) for each hybrid and general combining ability (GCA) for its parental lines are then derived to quantify the degree of midparent heterosis (MPH) or better-parent heterosis (BPH) of the hybrid. Finally, we estimate the variance components resulting from additive and dominance gene action effects and heritability using a genomic best linear unbiased predictor (g-BLUP) model. These estimates are used to justify the results of the genomic prediction study. A pumpkin ( spp.) data set is given to illustrate the provided procedure. The data set consists of 320 parental lines with 61,179 collected single nucleotide polymorphism (SNP) markers; 119, 120, and 120 phenotypic values of hybrids on three quantitative traits within maxima Duchesne; and 89, 111, and 90 phenotypic values of hybrids on the same three quantitative traits within Dechesne.
Assuntos
Cucurbita/fisiologia , Hibridização Genética , Melhoramento Vegetal , Teorema de Bayes , Simulação por Computador , Cucurbita/genética , Conjuntos de Dados como Assunto , Variação Genética , Padrões de Herança , Modelos Genéticos , Modelos Estatísticos , Seleção GenéticaRESUMO
While many tropical plants have been adapted to temperate cultivation, few temperate plants have been adapted to the tropics. Originating in Western Europe, Brassica oleracea vernalization requires a period of low temperature and BoFLC2 regulates the transition to floral development. In B. oleracea germplasm selected in Taiwan, a non-vernalization pathway involving BoFLC3 rather than BoFLC2 regulates curd induction. In 112 subtropical breeding lines, specific haplotype combinations of BoFLC3 and PAN (involved in floral organ identity and a positional candidate for additional curd induction variation) adapt B. oleracea to high ambient temperature and short daylength. Duplicated genes permitted evolution of alternative pathways for control of flowering in temperate and tropical environments, a principle that might be utilized via natural or engineered approaches in other plants. New insight into regulation of Brassica flowering exemplifies translational agriculture, tapping knowledge of botanical models to improve food security under projected climate change scenarios.