113 research outputs found

    Molecular Genetic Traits Influencing Maize Endosperm Development and Value: Closeout Report for DOE Grant DE-FG02-96ER20242

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    Development of the endosperm in cereal grasses entails different phases characterized by cell division, endoreduplication, accumulation of storage metabolites and cell death, which need to be carried out in an orderly fashion. While correct regulation of the cell cycle plays an essential role in endosperm development, the key regulatory factors and how the cell cycle interfaces with other pathways in this developmental context are largely unknown. We investigated the cyclin-dependent kinase (CDK)-retinoblastoma pathway and how it controls the cell cycle and coordinates it with other processes during maize endosperm development. Retinoblastoma-related (RBR) proteins may be inactivated through CDK-mediated phosphorylation, but the identity of the responsible kinase in maize is unknown. We have previously shown that down-regulation of CDKA;1 severely inhibits the endoreduplication cell cycle and suggested that CDK may be an up-stream regulator of the retinoblastoma pathway. We discovered two types of maize RBR genes, RBR1 and RBR3, which differ in terms of structure, regulation and function. Phylogenetic analyses indicate that these genes may be distinctive features of the Poaceae. We found that RBR3 plays a positive rather than a negative role in DNA replication, cell transformation, and the expression of the minichromosome maintenance (MCM)2-7 family of DNA replication factors. These features are a paradigm shift in RBR gene function and appear to be unique within the RBR gene family. They suggest the existence in maize and related cereal crops of specific RBR/E2F-dependent pathways impinging on the cell cycle and development. RBR1 was down-regulated in transgenic endosperm using RNAi approaches. This resulted in the de-repression of a number of down-stream E2F targets, including RBR3, the MCM2-7 gene family, DNA methyltransferase (MET)1, CDKB;1, and the recently identified RBR4 gene. It also increased endosperm ploidy levels, stimulated the production of a larger number of cells, reduced the average cell size, and promoted programmed cell death. To test whether CDKA;1 inhibits RBR1 (through phosphorylation) in the pathway that leads to DNA synthesis and endoreduplication, the two CDKA;1 and RBR1 down-regulated mutants were crossed and their progeny analyzed. Our results indicate that CDKA;1 controls endoreduplication through an RBR1-dependent pathway. However, the ability of RBR1 to repress gene expression programs is independent from CDKA1, suggesting the presence of two differently regulated RBR1 activities in developing endosperm. One type of RBR1 activity controls E2F-dependent gene expression and is largely independent from CDKA;1, while another suppresses endoreduplication and can be inhibited by CDKA;1. In addition, RBR1 is part of a regulatory feedback loop that impinges on CDK activity. Together, these results indicate that the CDKA;1-RBR1 pathway integrates and controls different processes associated with endosperm development. Genome-wide analyses of the transcriptome, metabolome, and epigenetic mechanisms to understand how the cell cycle is coordinated with other pathways at a systems biology level are currently underway

    Polyribosomes from Peas

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    Protein Storage Bodies and Vacuoles

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    Characterization of Polypeptides Corresponding to Clones of Maize Zein mRNAS

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    Identification and characterization of the maize arogenate dehydrogenase gene family

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    In plants, the amino acids tyrosine and phenylalanine are synthesized from arogenate by arogenate dehydrogenase and arogenate dehydratase, respectively, with the relative flux to each being tightly controlled. Here the characterization of a maize opaque endosperm mutant (mto140), which also shows retarded vegetative growth, is described The opaque phenotype co-segregates with a Mutator transposon insertion in an arogenate dehydrogenase gene (zmAroDH-1) and this led to the characterization of the four-member family of maize arogenate dehydrogenase genes (zmAroDH-1–zmAroDH-4) which share highly similar sequences. A Mutator insertion at an equivalent position in AroDH-3, the most closely related family member to AroDH-1, is also associated with opaque endosperm and stunted vegetative growth phenotypes. Overlapping but differential expression patterns as well as subtle mutant effects on the accumulation of tyrosine and phenylalanine in endosperm, embryo, and leaf tissues suggest that the functional redundancy of this gene family provides metabolic plasticity for the synthesis of these important amino acids. mto140/arodh-1 seeds shows a general reduction in zein storage protein accumulation and an elevated lysine phenotype typical of other opaque endosperm mutants, but it is distinct because it does not result from quantitative or qualitative defects in the accumulation of specific zeins but rather from a disruption in amino acid biosynthesis

    A Statistical Model for Estimating Maternal-Zygotic Interactions and Parent-of-Origin Effects of QTLs for Seed Development

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    Proper development of a seed requires coordinated exchanges of signals among the three components that develop side by side in the seed. One of these is the maternal integument that encloses the other two zygotic components, i.e., the diploid embryo and its nurturing annex, the triploid endosperm. Although the formation of the embryo and endosperm contains the contributions of both maternal and paternal parents, maternally and paternally derived alleles may be expressed differently, leading to a so-called parent-of-origin or imprinting effect. Currently, the nature of how genes from the maternal and zygotic genomes interact to affect seed development remains largely unknown. Here, we present a novel statistical model for estimating the main and interaction effects of quantitative trait loci (QTLs) that are derived from different genomes and further testing the imprinting effects of these QTLs on seed development. The experimental design used is based on reciprocal backcrosses toward both parents, so that the inheritance of parent-specific alleles could be traced. The computing model and algorithm were implemented with the maximum likelihood approach. The new strategy presented was applied to study the mode of inheritance for QTLs that control endoreduplication traits in maize endosperm. Monte Carlo simulation studies were performed to investigate the statistical properties of the new model with the data simulated under different imprinting degrees. The false positive rate of imprinting QTL discovery by the model was examined by analyzing the simulated data that contain no imprinting QTL. The reciprocal design and a series of analytical and testing strategies proposed provide a standard procedure for genomic mapping of QTLs involved in the genetic control of complex seed development traits in flowering plants
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