Biology subjects

Bolton, M. D.

Publications and source records attributed to Bolton, M. D..

3 recordsLinked to original sources

bioRxiv2023

Large-scale analyses reveal the contribution of adaptive evolution in pathogenic and non-pathogenic fungal species

Genome studies of fungal pathogens have presented evidence for exceptionally high rates of evolution. It has been proposed that rapid adaptation is a hallmark of pathogen evolution that facilitates the invasion of new host niches and the overcoming of intervention strategies such as fungicide applications and drug treatments. To which extent high levels of genetic variation within and between species correlate with adaptive protein evolution in fungi more generally has so far not been explored. In this study, we addressed the contribution of adaptive evolution relative to genetic drift in 20 fungal species, hereby exploring genetic variation in 2,478 fungal genomes. We reannotated positions of protein-coding genes to obtain a high-quality dataset of 234,427 full-length core gene and 25,612 accessory gene alignments. We applied an extension of the McDonald-Kreitman test that models the distributions of fitness effects to infer the rate of adaptive ({omega}A) and non-adaptive ({omega}NA) non-synonymous substitutions in protein-coding genes. To explore the relevance of recombination on local adaptation rates, we inferred the population genomic recombination rate for all 20 species. Our analyses reveal extensive variation in rates of adaptation and show that high rates of adaptation are not a hallmark of a pathogenic lifestyle. Up to 83% of non-synonymous substitutions are adaptive in the species Parastagonospora nodorum. However, non-synonymous substitutions in other species, including the prominent rice-infecting pathogen Magnaporthe oryzae, are predominantly non-adaptive (neutral or slightly deleterious). Correlating adaptation measures with effective population size and recombination rate, we show that effective population size is a primary determinant of adaptive evolution in fungi. At the genome scale, recombination rate variation explains variation in both {omega}A and {omega}NA. Finally, we demonstrate the robustness of our estimates using simulations. We underline the value of population genetic principles in studies of fungal evolution, and we highlight the importance of demographic processes in adaptive evolution of pathogenic and non-pathogenic species.

evolutionary biology↗

bioRxiv2020

Genome-wide association studies reveal the complex genetic architecture of DMI fungicide resistance in Cercospora beticola

Cercospora leaf spot is the most important disease of sugar beet worldwide. The disease is caused by the fungus Cercospora beticola and is managed principally by timely application of fungicides including those of the sterol demethylation inhibitor (DMI) class. However, reliance on DMIs has caused an increase in resistance to this class of fungicides in multiple C. beticola populations. To better understand the genetic and evolutionary basis for resistance in C. beticola, a genome-wide association study (GWAS) and selective sweep analysis were conducted for the first time in this fungal plant pathogen. We performed whole genome resequencing of 190 C. beticola isolates predominantly from North Dakota and Minnesota that were phenotyped for sensitivity to tetraconazole, the most widely used DMI fungicide in this region. GWAS identified mutations in genes associated with DMI fungicide resistance including a Regulator of G-protein Signaling (RGS) protein, an ATP-binding cassette (ABC) pleiotropic drug resistance transporter, a dual-specificity tyrosine phosphorylation-regulated kinase (DYRK), and a gene annotated as a hypothetical protein. A SNP upstream of CbCYP51, the gene encoding the target of DMI fungicides, was also identified via GWAS. Haplotype analysis of CbCYP51 identified a synonymous mutation (E170) in high linkage disequilibrium with the upstream SNP, and multiple non-synonymous mutations (L144F, I387M and Y464S) associated with DMI resistance. Additionally, a putative codon bias effect for the L144F substitution was identified that generated different resistance potentials. We also identified a CbCYP51 paralog in C. beticola, CbCYP51-like, with high protein homology to CYP51C found uniquely in Fusarium species but CbCYP51-like does not appear to influence DMI sensitivity. Genome-wide scans of selection showed that several of the GWAS mutations for fungicide resistance resided in regions that have recently undergone a selective sweep. Using radial plate growth on selected media as a fitness proxy, we did not find a trade-off associated with DMI fungicide resistance suggesting that resistance mutations can persist in C. beticola populations. Taken together, we show that population genomic data from a crop pathogen can allow the identification of mutations conferring fungicide resistance and inform about their origins in the pathogen population.

evolutionary biology↗

bioRxiv2017

Ancient duplication and horizontal transfer of a toxin gene cluster reveals novel mechanisms in the cercosporin biosynthesis pathway

Species in the genus Cercospora cause economically devastating diseases in sugar beet, maize, rice, soy bean and other major food crops. Here we sequenced the genome of the sugar beet pathogen C. beticola and found it encodes 63 putative secondary metabolite gene clusters, including the cercosporin toxin biosynthesis (CTB) cluster. We show that the CTB gene cluster has experienced multiple duplications and horizontal transfers across a spectrum of plant pathogenic fungi, including the wide host range Colletotrichum genus as well as the rice pathogen Magnaporthe oryzae. Although cercosporin biosynthesis has been thought to-date to rely on an eight gene CTB cluster, our phylogenomic analysis revealed gene collinearity adjacent to the established cluster in all CTB cluster-harboring species. We demonstrate that the CTB cluster is larger than previously recognized and includes cercosporin facilitator protein (CFP) previously shown to be involved with cercosporin auto-resistance, and four additional genes required for cercosporin biosynthesis including the final pathway enzymes that install the unusual cercosporin methylenedioxy bridge. Finally, we demonstrate production of cercosporin by Colletotrichum fioriniae, the first known cercosporin producer within this agriculturally important genus. Thus, our results provide new insight into the intricate evolution and biology of a toxin critical to agriculture and broaden the production of cercosporin to another fungal genus containing many plant pathogens of important crops worldwide.\n\nSignificance StatementSpecies in the fungal genus Cercospora cause diseases in many important crops worldwide. Their success as pathogens is largely due to the secretion of cercosporin during infection. We report that the cercosporin toxin biosynthesis (CTB) cluster is ancient and was horizontally transferred to diverse fungal pathogens on an unprecedented scale. Since these analyses revealed genes adjacent to the established CTB cluster, we evaluated their role in C. beticola to show that four are necessary for cercosporin biosynthesis. Finally, we confirmed that the apple pathogen Colletotrichum fioriniae produces cercosporin, the first case outside the family Mycosphaerellaceae. Other Colletotrichum plant pathogens also harbor the CTB cluster, which points to a wider concern that this toxin may play in virulence and human health.

evolutionary biology↗