Biology subjects

Goodwin, S. B.

Publications and source records attributed to Goodwin, S. B..

5 recordsLinked to original sources

bioRxiv2024

Tar Spot Disease Severity Influences Phyllosphere-Associated Bacterial and Fungal Microbiomes

Tar spot, caused by the obligate fungal pathogen Phyllachora maydis, is a foliar disease of corn that has become a major economic concern in the United States. To test the hypothesis that P. maydis can interact with other foliar microorganisms, we investigated phyllosphere microbiomes in relation to corn inbreds with differential tar spot symptoms under natural infestation in the field. Leaf samples from sixteen inbred lines were assessed for tar spot symptoms, and bacterial and fungal microbiomes were characterized by paired-end sequencing on the Illumina MiSeq platform. Comparison of the phyllosphere microbiomes revealed distinct bacterial and fungal communities between resistant and susceptible lines. Bacterial and fungal species richness was significantly higher in resistant compared to susceptible inbred lines in a sample-specific manner. In contrast, there were no clear differences in diversity when including evenness of bacterial communities between the resistant and susceptible lines. Diversity of fungal communities differed significantly, particularly between twelve of the fourteen susceptible lines versus resistant lines. Plant-beneficial bacterial genera such as Methylorubrum and Quadrisphaera were associated with resistant lines, while Pantoea, Deinococcus and Pseudomonas were the least abundant. The second-most commonly detected fungus likely was a Coniothyrium, but whether it is the same species that was identified as a possible mycoparasite of P. maydis in Central and South America is not known. Fungal genera Cladosporium, Papiliotrema, Cryptococcus, Tilletiopsis and Alternaria were associated with resistant lines while Sphaerellopsis was the least-abundant genus. In contrast, Puccinia, Sphaerellopsis and Phyllachora were the dominant fungal genera in susceptible lines. Our findings imply that P. maydis infection may result in a distinct microbiota with lower diversity. Further analyses of these distinct microbiota between resistant and susceptible lines could lead to a better understanding of the potential role of foliar microbiomes in causing or resisting P. maydis infection.

plant biology↗

bioRxiv2023

Mechanisms of infection and response of the fungal wheat pathogen Zymoseptoria tritici during compatible, incompatible and non-host interactions

Zymoseptoria tritici is responsible for Septoria tritici blotch, a disease causing significant annual yield losses in wheat. To investigate infection phase-specific gene expression in the pathogen, we analyzed gene expression during infection of susceptible (Taichung 29) and resistant (Veranopolis and Israel 493) wheat cultivars, plus the non-host species barley at 1, 3, 6, 10, 17 and 23 days post inoculation (DPI). There were dramatic differences in pathogen gene expression at 10 DPI in the susceptible compared to both resistant interactions. The most pronounced differences in pathogen gene expression were observed at 3 DPI in both the susceptible and resistant host interactions compared to the non-host interaction. Thirty-one putative effectors showed early expression during the susceptible interaction compared to the non-host interaction, and six effectors were selected for subcellular localization studies. Using Agrobacterium-mediated transient expression in Nicotiana benthamiana, subcellular localization assays revealed that two candidate effectors, Mycgr3109710 and Mycgr394290, localized to putative mobile cytosolic bodies when expressed without their signal peptides, suggesting potential roles in intracellular signaling or host gene regulation. When expressed with their native signal peptides, four candidate effectors localized to the cytosol, while one effector, Mycgr3107904, did not accumulate to detectable levels, as shown by immunoblot analysis, indicating degradation. Comparison of pathogen gene expression in the susceptible host to expression in the resistant hosts, allowed us to identify genes that are expressed during the transition from biotrophic to necrotrophic growth at 10 DPI. Comparison of pathogen gene expression in resistant and susceptible hosts, versus in the non-host barley, allowed us to identify genes involved in initial colonization and host recognition. In addition, our study contributes to understanding candidate effectors that are activated early during infection and may play a role in the initial suppression of plant immunity, making them strong candidates for functional characterization.

plant biology↗

bioRxiv2023

Small but significant genetic differentiation among populations of Phyllachora maydis in the midwestern United States revealed by microsatellite (SSR) markers.

Phyllachora maydis Maubl, the causal pathogen of tar spot of corn (Zea mays L.), has emerged recently in the United States and Canada. Studies related to its genetic diversity and population structure are limited and are necessary to improve our understanding of this pathogens biology, ecology, epidemiology, and evolutionary potential within this region. This study developed and used 13 microsatellites (SSR markers) to assess the genetic population structure, diversity, gene flow and reproductive mode of 181 P. maydis samples across five states in the Midwest U.S. The polymorphic information content (PIC) of loci ranged from 0.32 to 0.72 per locus, indicating their high utility for assessing the dynamics of P. maydis populations. Analysis of molecular variance (AMOVA) detected a significantly low, but statistically significant genetic differentiation (FST = 0.15) among populations, where 85% of the variance resided within populations. P. maydis populations were highly diverse (He = 0.55), with moderate gene flow (Nm = 2.80), and showed evidence of sexual recombination ([r]d; p = > 0.001). Structure analysis showed the samples were not geographically structured but rather grouped into two genetic clusters (k =2) of severe genetic admixture suggesting possible long-distance dispersal of aerial spores or infected corn materials among the five Midwest states. Both principal coordinate analysis (PCoA) and discriminate analysis of principal component (DAPC) supported the STRUCTURE analysis of the two clusters. These 13 highly polymorphic molecular markers could be used for future investigations of this pathogens population dynamics within the U.S., and possibly populations outside.

pathology↗

bioRxiv2023

Improved gene annotation of the fungal wheat pathogen Zymoseptoria tritici based on combined Iso-Seq and RNA-Seq evidence

Despite large omics datasets, the establishment of a reliable gene annotation is still challenging for eukaryotic genomes. Here, we used the reference genome of the major fungal wheat pathogen Zymoseptoria tritici (isolate IPO323) as a case study to develop methods to improve eukaryotic gene prediction. Four previous IPO323 annotations identified 10,933 to 13,260 gene models, but only one third of these coding sequences (CDS) have identical structures. To resolve these discrepancies and improve gene models, we generated full-length transcripts using long-read sequencing. This dataset was used together with other evidence (RNA-Seq transcripts and protein sequences) to generate novel ab initio gene models. The selection of the best structure among novel and existing gene models was performed according to transcript and protein evidence using InGenAnnot, a novel bioinformatics suite. Overall, 13,414 re-annotated gene models (RGMs) were predicted, including 671 new genes among which 53 encoded effector candidates. This process corrected many of the errors (15%) observed in previous gene models (coding sequence fusions, false introns, missing exons). While fungal genomes have poor annotations of untranslated regions (UTRs), our Iso-Seq long-read sequences outlined 5 and 3UTRs for 73% of the RGMs. Alternative transcripts were identified for 13% of RGMs, mostly due to intron retention (75%), likely corresponding to unprocessed pre-mRNAs. A total of 353 genes displayed alternative transcripts with combinations of previously predicted or novel exons. Long non-coding transcripts (lncRNAs) and double-stranded RNAs from two fungal viruses were also identified. Most lncRNAs corresponded to antisense transcripts of genes (52%). lncRNAs that were up or down regulated during infection were enriched in antisense transcripts (70%), suggesting their involvement in the control of gene expression. Our results showed that combining different ab initio gene predictions and evidence-driven curation using InGenAnnot improved the quality of gene annotations of a compact eukaryotic genome. Our analysis also provided new insights into the transcriptional landscape of Z. tritici, helping develop an increasingly complex picture of its biology.

genomics↗

bioRxiv2022

A thousand-genome panel retraces the global spread and climatic adaptation of a major crop pathogen

Human activity impacts the evolutionary trajectories of many species worldwide. Global trade of agricultural goods contributes to the dispersal of pathogens reshaping their genetic makeup and providing opportunities for virulence gains. Understanding how pathogens surmount control strategies and cope with new climates is crucial to predicting the future impact of crop pathogens. Here, we address this by assembling a global thousand-genome panel of Zymoseptoria tritici, a major fungal pathogen of wheat reported in all production areas worldwide. We identify the global invasion routes and ongoing genetic exchange of the pathogen among wheat-growing regions. We find that the global expansion was accompanied by increased activity of transposable elements and weakened genomic defenses. Finally, we find significant standing variation for adaptation to new climates encountered during the global spread. Our work shows how large population genomic panels enable deep insights into the evolutionary trajectory of a major crop pathogen.

genomics↗