Laser Capture Microdissection Transcriptome Reveals Spatiotemporal Tissue Gene Expression Patterns of Medicago truncatula Roots Responding to Rhizobia.

We report a public resource for examining the spatiotemporal RNA expression of 54,893 Medicago truncatula genes during the first 72 h of response to rhizobial inoculation. Using a methodology that allows synchronous inoculation and growth of more than 100 plants in a single media container, we harvested the same segment of each root responding to rhizobia in the initial inoculation over a time course, collected individual tissues from these segments with laser capture microdissection, and created and sequenced RNA libraries generated from these tissues. We demonstrate the utility of the resource by examining the expression patterns of a set of genes induced very early in nodule signaling, as well as two gene families (CLE peptides and nodule specific PLAT-domain proteins) and show that despite similar whole-root expression patterns, there are tissue differences in expression between the genes. Using a rhizobial response dataset generated from transcriptomics on intact root segments, we also examined differential temporal expression patterns and determined that, after nodule tissue, the epidermis and cortical cells contained the most temporally patterned genes. We circumscribed gene lists for each time and tissue examined and developed an expression pattern visualization tool. Finally, we explored transcriptomic differences between the inner cortical cells that become nodules and those that do not, confirming that the expression of 1-aminocyclopropane-1-carboxylate synthases distinguishes inner cortical cells that become nodules and provide and describe potential downstream genes involved in early nodule cell division. [Formula: see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Fixation and Laser Capture Microdissection of Plant Tissue for RNA Extraction and RNASeq Library Preparation.

To study the transcriptome of individual plant cells at specific points in time, we developed protocols for fixation, embedding, and sectioning of plant tissue followed by laser capture microdissection (LCM) and processing for RNA recovery. LCM allows the isolation of individual cell types from heterogeneous tissue sections and is particularly suited to plant processing because it does not require the breakdown of cell walls. This approach allows accurate separation of a small volume of cells that can be used to study gene expression profiles in different tissues or cell layers. The technique requires neither separation of cells by enzymatic digestion of any kind nor cell-specific reporter genes, and it allows storage of fixed and embedded tissue for months before capture. The methods for fixation, embedding, sectioning, and capturing of plant cells that we describe yield high-quality RNA suitable for making libraries for RNASeq. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Tissue Preparation for Laser Capture Microdissection Basic Protocol 2: Tissue Sectioning Basic Protocol 3: Laser Capture Microdissection of Embedded Tissue Basic Protocol 4: RNA Extraction from Laser Capture Microdissection Samples.

A Medicago truncatula Autoregulation of Nodulation Mutant Transcriptome Analysis Reveals Disruption of the SUNN Pathway Causes Constitutive Expression Changes in Some Genes, but Overall Response to Rhizobia Resembles Wild-Type, Including Induction of TML1 and TML2.

Nodule number regulation in legumes is controlled by a feedback loop that integrates nutrient and rhizobia symbiont status signals to regulate nodule development. Signals from the roots are perceived by shoot receptors, including a CLV1-like receptor-like kinase known as SUNN in Medicago truncatula. In the absence of functional SUNN, the autoregulation feedback loop is disrupted, resulting in hypernodulation. To elucidate early autoregulation mechanisms disrupted in SUNN mutants, we searched for genes with altered expression in the loss-of-function sunn-4 mutant and included the rdn1-2 autoregulation mutant for comparison. We identified constitutively altered expression of small groups of genes in sunn-4 roots and in sunn-4 shoots. All genes with verified roles in nodulation that were induced in wild-type roots during the establishment of nodules were also induced in sunn-4, including autoregulation genes TML2 and TML1. Only an isoflavone-7-O-methyltransferase gene was induced in response to rhizobia in wild-type roots but not induced in sunn-4. In shoot tissues of wild-type, eight rhizobia-responsive genes were identified, including a MYB family transcription factor gene that remained at a baseline level in sunn-4; three genes were induced by rhizobia in shoots of sunn-4 but not wild-type. We cataloged the temporal induction profiles of many small secreted peptide (MtSSP) genes in nodulating root tissues, encompassing members of twenty-four peptide families, including the CLE and IRON MAN families. The discovery that expression of TML2 in roots, a key factor in inhibiting nodulation in response to autoregulation signals, is also triggered in sunn-4 in the section of roots analyzed, suggests that the mechanism of TML regulation of nodulation in M. truncatula may be more complex than published models.

Time Series Transcriptome Analysis in Medicago truncatula Shoot and Root Tissue During Early Nodulation.

In response to colonization by rhizobia bacteria, legumes are able to form nitrogen-fixing nodules in their roots, allowing the plants to grow efficiently in nitrogen-depleted environments. Legumes utilize a complex, long-distance signaling pathway to regulate nodulation that involves signals in both roots and shoots. We measured the transcriptional response to treatment with rhizobia in both the shoots and roots of Medicago truncatula over a 72-h time course. To detect temporal shifts in gene expression, we developed GeneShift, a novel computational statistics and machine learning workflow that addresses the time series replicate the averaging issue for detecting gene expression pattern shifts under different conditions. We identified both known and novel genes that are regulated dynamically in both tissues during early nodulation including leginsulin, defensins, root transporters, nodulin-related, and circadian clock genes. We validated over 70% of the expression patterns that GeneShift discovered using an independent M. truncatula RNA-Seq study. GeneShift facilitated the discovery of condition-specific temporally differentially expressed genes in the symbiotic nodulation biological system. In principle, GeneShift should work for time-series gene expression profiling studies from other systems.

Identifying Temporally Regulated Root Nodulation Biomarkers Using Time Series Gene Co-Expression Network Analysis.

Root nodulation results from a symbiotic relationship between a plant host and Rhizobium bacteria. Synchronized gene expression patterns over the course of rhizobial infection result in activation of pathways that are unique but overlapping with the highly conserved pathways that enable mycorrhizal symbiosis. We performed RNA sequencing of 30 Medicago truncatula root maturation zone samples at five distinct time points. These samples included plants inoculated with Sinorhizobium medicae and control plants that did not receive any Rhizobium. Following gene expression quantification, we identified 1,758 differentially expressed genes at various time points. We constructed a gene co-expression network (GCN) from the same data and identified link community modules (LCMs) that were comprised entirely of differentially expressed genes at specific time points post-inoculation. One LCM included genes that were up-regulated at 24 h following inoculation, suggesting an activation of allergen family genes and carbohydrate-binding gene products in response to Rhizobium. We also identified two LCMs that were comprised entirely of genes that were down regulated at 24 and 48 h post-inoculation. The identity of the genes in these modules suggest that down-regulating specific genes at 24 h may result in decreased jasmonic acid production with an increase in cytokinin production. At 48 h, coordinated down-regulation of a specific set of genes involved in lipid biosynthesis may play a role in nodulation. We show that GCN-LCM analysis is an effective method to preliminarily identify polygenic candidate biomarkers of root nodulation and develop hypotheses for future discovery.

Fixation and Laser Capture Microdissection of Plant Tissue for RNA Extraction and RNASeq Library Preparation.

In order to study the transcriptome of individual plant cells at specific points in time, we developed protocols for fixation, embedding, and sectioning of plant tissue followed by laser capture microdissection (LCM) and processing for RNA recovery. LCM allows the isolation of individual cell types from heterogeneous tissue sections and is particularly suited to plant processing because it does not require the breakdown of cell walls. This approach allows accurate separation of a small volume of cells that can be used to study gene expression profiles in different tissues or cell layers. The technique does not require separation of cells by enzymatic digestion of any kind, does not require cell-specific reporter genes, and allows storage of fixed and embedded tissue for months before capture. The methods for fixation, embedding, sectioning, and capture of plant cells that we describe yield high-quality RNA suitable for making libraries for RNASeq. © 2018 by John Wiley & Sons, Inc.

Population Structure of Pseudocercospora fijiensis in Costa Rica Reveals Shared Haplotype Diversity with Southeast Asian Populations.

Pseudocercospora fijiensis is the causal pathogen of black Sigatoka, a devastating disease of banana that can cause 20 to 80% yield loss in the absence of fungicides in banana crops. The genetic structure of populations of P. fijiensis in Costa Rica was examined and compared with Honduran and global populations to better understand migration patterns and inform management strategies. In total, 118 isolates of P. fijiensis collected from Costa Rica and Honduras from 2010 to 2014 were analyzed using multilocus genotyping of six loci and compared with a previously published global dataset of populations of P. fijiensis. The Costa Rican and Honduran populations shared haplotype diversity with haplotypes from Southeast Asia, Oceania, and the Americas but not Africa for all but one of the six loci studied. Gene flow and shared haplotype diversity was found in Honduran and Costa Rican populations of the pathogen. The data indicate that the haplotypic diversity observed in Costa Rican populations of P. fijiensis is derived from dispersal from initial outbreak sources in Honduras and admixtures between genetically differentiated sources from Southeast Asia, Oceania, and the Americas.

Characterization of the recombination activities of the Entamoeba histolytica Rad51 recombinase.

The protozoan parasite responsible for human amoebiasis is Entamoeba histolytica. An important facet of the life cycle of E. histolytica involves the conversion of the mature trophozoite to a cyst. This transition is thought to involve homologous recombination (HR), which is dependent upon the Rad51 recombinase. Here, a biochemical characterization of highly purified ehRad51 protein is presented. The ehRad51 protein preferentially binds ssDNA, forms a presynaptic filament and possesses ATP hydrolysis activity that is stimulated by the presence of DNA. Evidence is provided that ehRad51 catalyzes robust DNA strand exchange over at least 5.4 kilobase pairs. Although the homologous DNA pairing activity of ehRad51 is weak, it is strongly enhanced by the presence of two HR accessory cofactors, calcium and Hop2-Mnd1. The biochemical system described herein was used to demonstrate the potential for targeting ehRad51 with two small molecule inhibitors of human RAD51. We show that 4,4'-diisothiocyanostilbene-2,2'-disulfonic acid (DIDS) inhibited ehRad51 by interfering with DNA binding and attenuated encystation in Entamoeba invadens, while B02 had no effect on ehRad51 strand exchange activity. These results provide insight into the underlying mechanism of homology-directed DNA repair in E. histolytica.

Diversity and evolution of Rp1 rust resistance genes in four maize lines.

KEY MESSAGE: This manuscript provides genome-level analysis of disease resistance genes in four maize lines, including studies of haplotype and resistance gene number as well as selection and recombination. The Rp1 locus of maize is a complex resistance gene (R-gene) cluster that confers race-specific resistance to Puccinia sorghi, the causal agent of common leaf rust. Rp1 NB-LRR disease resistance genes were isolated from two Rp1 haplotypes (HRp1-B and HRp1-M) and two maize inbred lines (B73 and H95). Sixty-one Rp1 genes were isolated from Rp1-B, Rp1-M, B73 and H95 with a PCR-based approach. The four maize lines carried from 12 to 19 Rp1 genes. From 4 to 9 of the identified Rp1 genes were transcribed in the four maize lines. The Rp1 gene nucleotide diversity was higher in HRp1-B and HRp1-M than in B73 and H95. Phylogenic analysis of 69 Rp1 genes revealed that the Rp1 genes maintained in HRp1-B, HRp1-M and H95 are evolving independently of each other, while Rp1 genes in B73 and HRp1-D appear more like each other than they do genes in the other lines. The results also revealed that the analysed Rp1 R-genes were under positive selection in HRp1-M and B73. Intragenic recombination was detected in Rp1 genes maintained in the four maize lines. This demonstrates that a genetic process that has the potential to generate new resistance genes with new specificities is active at the Rp1 locus in the four analysed maize lines and that the new resistance genes may act against newly arising pathogen races that become prevalent in the pathogen population.

A rapid and efficient method for assessing pathogenicity of ustilago maydis on maize and teosinte lines.

Maize is a major cereal crop worldwide. However, susceptibility to biotrophic pathogens is the primary constraint to increasing productivity. U. maydis is a biotrophic fungal pathogen and the causal agent of corn smut on maize. This disease is responsible for significant yield losses of approximately $1.0 billion annually in the U.S.(1) Several methods including crop rotation, fungicide application and seed treatments are currently used to control corn smut(2). However, host resistance is the only practical method for managing corn smut. Identification of crop plants including maize, wheat, and rice that are resistant to various biotrophic pathogens has significantly decreased yield losses annually(3-5). Therefore, the use of a pathogen inoculation method that efficiently and reproducibly delivers the pathogen in between the plant leaves, would facilitate the rapid identification of maize lines that are resistant to U. maydis. As, a first step toward indentifying maize lines that are resistant to U. maydis, a needle injection inoculation method and a resistance reaction screening method was utilized to inoculate maize, teosinte, and maize x teosinte introgression lines with a U. maydis strain and to select resistant plants. Maize, teosinte and maize x teosinte introgression lines, consisting of about 700 plants, were planted, inoculated with a strain of U. maydis, and screened for resistance. The inoculation and screening methods successfully identified three teosinte lines resistant to U. maydis. Here a detailed needle injection inoculation and resistance reaction screening protocol for maize, teosinte, and maize x teosinte introgression lines is presented. This study demonstrates that needle injection inoculation is an invaluable tool in agriculture that can efficiently deliver U. maydis in between the plant leaves and has provided plant lines that are resistant to U. maydis that can now be combined and tested in breeding programs for improved disease resistance.