An Inducible Targeted Tagging System for Localized Saturation Mutagenesis in Arabidopsis

We describe a system of inducible insertional mutagenesis based on the Ac-Ds family of transposons for targeted tagging in Arabidopsis (Arabidopsis thaliana). In this system, the Ac and Ds elements are carried within the same T-DNA and a heat shock-inducible transposase fusion is utilized to control the levels of transposase gene expression, generating transpositions that can be subsequently stabilized without requiring crossing or segregation. We have mapped 40 single-copy lines by thermal asymmetric interlaced-PCR, which can be used as potential launch pads for heat shock mutagenesis. Using a starter line selected for detailed analysis, the efficiency of tagging over a 50-kb region in the genome was examined. Hits were obtained in the targeted genes with multiple alleles for most genes, with approximately equal numbers of hits detected in genes on either side of the T-DNA. These results establish the feasibility of our approach for localized saturation mutagenesis in Arabidopsis. This system is very efficient and much less laborious as compared to conventional crossing schemes and may be generally applicable to other plant species for which large-scale T-DNA tagging is not currently feasible

A Dual Role for the S-Locus Receptor Kinase in Self-Incompatibility and Pistil Development Revealed by an Arabidopsis rdr6 Mutation

The coordinate evolution of self-incompatibility (SI) and stigma-anther separation, two mechanisms that promote cross-pollination in plants, has been a long-standing puzzle in evolution and development. Using a transgenic self-incompatible Arabidopsis thaliana model, we performed screens for mutants exhibiting a modified SI response. A mutation in the RNA-dependent RNA polymerase RDR6, which functions in trans-acting short interfering RNA (ta-siRNA) production, was found that simultaneously enhances SI and causes stigma exsertion, without associated increases in SRK transcript levels. While rdr6 mutants had been previously shown to exhibit stochastic stigma exsertion, our results demonstrate that the S-locus receptor kinase (SRK) gene further enhances pistil elongation and stigma exsertion in this mutant background, a process that requires SRK catalytic activity and correlates with SRK transcript levels. These results suggest that positive regulators or effectors of SI and pistil development are regulated by ta-siRNA(s). By establishing complex connections between SI and stigma exsertion through the sharing of a ta-siRNA–mediated regulatory pathway and the dual role of SRK in SI and pistil development, our study provides a molecular explanation for the coordinate evolution of these processes

Functional Analysis of the Tandem-Duplicated P450 Genes SPS/BUS/CYP79F1 and CYP79F2 in Glucosinolate Biosynthesis and Plant Development by Ds Transposition-Generated Double Mutants

A significant fraction (approximately 17%) of Arabidopsis genes are members of tandemly repeated families and pose a particular challenge for functional studies. We have used the Ac-Ds transposition system to generate single- and double-knockout mutants of two tandemly duplicated cytochrome P450 genes, SPS/BUS/CYP79F1 and CYP79F2. We have previously described the Arabidopsis supershoot mutants in CYP79F1 that exhibit massive overproliferation of shoots. Here we use a cytokinin-responsive reporter ARR5::uidA and an auxin-responsive reporter DR5::uidA in the sps/cyp79F1 mutant to show that increased levels of cytokinin, but not auxin, correlate well with the expression pattern of the SPS/CYP79F1 gene, supporting the involvement of this gene in cytokinin homeostasis. Further, we isolated Ds gene trap insertions in the CYP79F2 gene, and find these mutants to be defective mainly in the root system, consistent with a root-specific expression pattern. Finally, we generated double mutants in CYP79F1 and CYP79F2 using secondary transpositions, and demonstrate that the phenotypes are additive. Previous biochemical studies have suggested partially redundant functions for SPS/CYP79F1 and CYP79F2 in aliphatic glucosinolate synthesis. Our analysis shows that aliphatic glucosinolate biosynthesis is completely abolished in the double-knockout plants, providing genetic proof for the proposed biochemical functions of these genes. This study also provides further demonstration of how gluconisolate biosynthesis, regarded as secondary metabolism, is intricately linked with hormone homeostatis and hence with plant growth and development

Control of axillary bud initiation and shoot architecture in Arabidopsis through the SUPERSHOOT gene

The aerial architecture of flowering plants is determined to a large extent by shoot growth and shoot branching arising from the initiation and growth of axillary meristems. We have identified an Arabidopsis mutant, supershoot (sps), which is characterized by a massive overproliferation of shoots, such that a single plant can generate 500 or more inflorescences. Analysis of the mutant plants shows that the primary defect is because of an increase in the number of meristems formed in leaf axils, together with release of bud arrest, resulting in reiterative branch formation from rosette and cauline leaves. The SPS gene is shown here to encode a cytochrome P450, and together with a 3- to 9-fold increase in levels of Z-type cytokinins in sps mutant plants, indicate a role for SPS in modulating hormone levels. The expression pattern of SPS, with strong expression at the leaf axils, correlates well with the phenotypic defects. Our results indicate that control of shoot branching in Arabidopsis may be accomplished in part by suppression of axillary meristem initiation and growth through the localized attenuation of cytokinin levels at sites of bud initiation

High density genotype storage for plant breeding in the Chado schema of Breedbase.

Modern breeding programs routinely use genome-wide information for selecting individuals to advance. The large volumes of genotypic information required present a challenge for data storage and query efficiency. Major use cases require genotyping data to be linked with trait phenotyping data. In contrast to phenotyping data that are often stored in relational database schemas, next-generation genotyping data are traditionally stored in non-relational storage systems due to their extremely large scope. This study presents a novel data model implemented in Breedbase (https://breedbase.org/) for uniting relational phenotyping data and non-relational genotyping data within the open-source PostgreSQL database engine. Breedbase is an open-source, web-database designed to manage all of a breeder's informatics needs: management of field experiments, phenotypic and genotypic data collection and storage, and statistical analyses. The genotyping data is stored in a PostgreSQL data-type known as binary JavaScript Object Notation (JSONb), where the JSON structures closely follow the Variant Call Format (VCF) data model. The Breedbase genotyping data model can handle different ploidy levels, structural variants, and any genotype encoded in VCF. JSONb is both compressed and indexed, resulting in a space and time efficient system. Furthermore, file caching maximizes data retrieval performance. Integration of all breeding data within the Chado database schema retains referential integrity that may be lost when genotyping and phenotyping data are stored in separate systems. Benchmarking demonstrates that the system is fast enough for computation of a genomic relationship matrix (GRM) and genome wide association study (GWAS) for datasets involving 1,325 diploid Zea mays, 314 triploid Musa acuminata, and 924 diploid Manihot esculenta samples genotyped with 955,690, 142,119, and 287,952 genotype-by-sequencing (GBS) markers, respectively

Breedbase: a digital ecosystem for modern plant breeding

Modern breeding methods integrate next-generation sequencing (NGS) and phenomics to identify plants with the best characteristics and greatest genetic merit for use as parents in subsequent breeding cycles to ultimately create improved cultivars able to sustain high adoption rates by farmers. This data-driven approach hinges on strong foundations in data management, quality control, and analytics. Of crucial importance is a central database able to 1) track breeding materials, 2) store experimental evaluations, 3) record phenotypic measurements using consistent ontologies, 4) store genotypic information, and 5) implement algorithms for analysis, prediction and selection decisions. Because of the complexity of the breeding process, breeding databases also tend to be complex, difficult, and expensive to implement and maintain. Here, we present a breeding database system, Breedbase (https://breedbase.org/). Originally initiated as Cassavabase (https://cassavabase.org/) with the NextGen Cassava project (https://www.nextgencassava.org/), and later developed into a crop-agnostic system, it is presently used by dozens of different crops and projects. The system is web-based and is available as open source software. It is available on GitHub (https://github.com/solgenomics/) and packaged in a Docker image for deployment (https://dockerhub.com/breedbase/). The Breedbase system enables breeding programs to better manage and leverage their data for decision making within a fully integrated digital ecosystem