Subtopic Deep Dive

Rust Fungi Taxonomy and Phylogeny
Research Guide

What is Rust Fungi Taxonomy and Phylogeny?

Rust Fungi Taxonomy and Phylogeny studies the molecular systematics of Pucciniales using ITS and multi-locus sequence data to define generic limits, life cycle evolution, host-specificity, and speciation patterns.

Research employs ITS primers for fungal identification and multi-locus phylogenies to resolve taxonomic ambiguities in rust fungi (Dean et al., 2012; Ihrmark et al., 2012). Over 4400 citations highlight rust pathogens like Puccinia striiformis in molecular plant pathology. Studies integrate DNA sequences with specimens to link taxonomy and phylogeny (Schoch et al., 2014).

Curated Papers

Key Challenges

Why It Matters

Accurate rust fungi taxonomy improves plant pathology diagnostics and quarantine by clarifying host-specificity and speciation in pathogens like Puccinia striiformis f.sp. tritici (Hovmøller et al., 2002). ITS-based phylogenies enable ultra-high-throughput profiling for monitoring rust migrations and community structures (Bokulich & Mills, 2013; Ihrmark et al., 2012). This supports economic impact assessments of top fungal pathogens (Dean et al., 2012). Enhanced classification aids adaptive divergence studies in Pucciniales (Gladieux et al., 2013).

Key Research Challenges

ITS Primer Bias

Standard ITS primers introduce amplification biases in high-throughput sequencing of rust fungal communities. New primers improve quantitative profiling but require validation across Pucciniales (Ihrmark et al., 2012; Bokulich & Mills, 2013).

Linking Names to Sequences

Morphology underestimates rust diversity; linking scientific names, specimens, and molecular data remains challenging. Reference databases are needed for accurate Pucciniales taxonomy (Schoch et al., 2014).

Species Boundary Demarcation

Defining generic limits and species in rust fungi demands multi-locus data amid clonal reproduction and migration. Recommendations integrate morphology, ecology, and phylogenetics (Jeewon, 2016; Hovmøller et al., 2002).

Essential Papers

The Top 10 fungal pathogens in molecular plant pathology

Ralph A. Dean, J.A.L. van Kan, Z. A. Pretorius et al. · 2012 · Molecular Plant Pathology · 4.4K citations

SUMMARY The aim of this review was to survey all fungal pathologists with an association with the journal Molecular Plant Pathology and ask them to nominate which fungal pathogens they would place ...

New primers to amplify the fungal ITS2 region - evaluation by 454-sequencing of artificial and natural communities

Katarina Ihrmark, Inga T. M. Bödeker, Karelyn Cruz-Martínez et al. · 2012 · FEMS Microbiology Ecology · 2.0K citations

With recent methodological advances, molecular markers are increasingly used for semi-quantitative analyses of fungal communities. The aim to preserve quantitative relationships between genotypes t...

Improved Selection of Internal Transcribed Spacer-Specific Primers Enables Quantitative, Ultra-High-Throughput Profiling of Fungal Communities

Nicholas A. Bokulich, David A. Mills · 2013 · Applied and Environmental Microbiology · 566 citations

ABSTRACT Ultra-high-throughput sequencing (HTS) of fungal communities has been restricted by short read lengths and primer amplification bias, slowing the adoption of newer sequencing technologies ...

Community structure and dynamics of wood-rotting Basidiomycetes on decomposing conifer trunks in northern Finland

Pertti Renvall · 1995 · Karstenia · 493 citations

The succession and organization of wood-rotting Basidiomycetes, as indicated by their fruit body production, were studied on naturall y fallen , decomposing trunks of Picea abies (L.) Karsten subsp...

Finding needles in haystacks: linking scientific names, reference specimens and molecular data for Fungi

Conrad L. Schoch, Barbara Robbertse, Vincent Robert et al. · 2014 · Database · 473 citations

DNA phylogenetic comparisons have shown that morphology-based species recognition often underestimates fungal diversity. Therefore, the need for accurate DNA sequence data, tied to both correct tax...

Fungal evolution: diversity, taxonomy and phylogeny of the Fungi

Miguel A. Naranjo-Ortíz, Toni Gabaldón · 2019 · Biological reviews/Biological reviews of the Cambridge Philosophical Society · 382 citations

ABSTRACT The fungal kingdom comprises a hyperdiverse clade of heterotrophic eukaryotes characterized by the presence of a chitinous cell wall, the loss of phagotrophic capabilities and cell organiz...

Establishing species boundaries and new taxa among fungi: recommendations to resolve taxonomic ambiguities

Rajesh Jeewon · 2016 · Mycosphere · 375 citations

Accurate identification and demarcation of taxa has far reaching implications in mycology, especially when plant pathogens are involved.Yet few publications have seriously proposed recommendations ...

Reading Guide

Foundational Papers

Start with Dean et al. (2012, 4407 citations) for rust pathogen context, Ihrmark et al. (2012, 2030 citations) for ITS primers, and Schoch et al. (2014) for linking taxonomy to sequences.

Recent Advances

Study Gladieux et al. (2013) on adaptive divergence, Jeewon (2016) on species boundaries, and Naranjo-Ortíz & Gabaldón (2019) on fungal phylogeny.

Core Methods

ITS amplification (Ihrmark et al., 2012; Bokulich & Mills, 2013), multi-locus phylogenetics, AFLP for migration (Hovmøller et al., 2002), and specimen-linked sequencing (Schoch et al., 2014).

How PapersFlow Helps You Research Rust Fungi Taxonomy and Phylogeny

Discover & Search

Research Agent uses searchPapers and exaSearch to find ITS phylogeny papers in Pucciniales, then citationGraph on Dean et al. (2012) reveals 4407-cited connections to rust pathogens like Puccinia striiformis.

Analyze & Verify

Analysis Agent applies readPaperContent to Schoch et al. (2014), verifies ITS sequence linking via verifyResponse (CoVe), and runs Python analysis on multi-locus datasets with NumPy for phylogenetic tree validation; GRADE scores evidence strength for taxonomic claims.

Synthesize & Write

Synthesis Agent detects gaps in rust life cycle evolution from Ihrmøller et al. (2002) and Gladieux et al. (2013), flags contradictions; Writing Agent uses latexEditText, latexSyncCitations for Dean et al. (2012), and latexCompile for phylogeny reports with exportMermaid diagrams.

Use Cases

"Analyze ITS sequence divergence in Puccinia striiformis populations from Hovmøller et al. 2002"

Research Agent → searchPapers('Puccinia striiformis phylogeny') → Analysis Agent → readPaperContent(Hovmøller) → runPythonAnalysis(pandas distance matrix, matplotlib tree plot) → phylogenetic divergence stats and migration heatmap.

"Draft LaTeX review on rust fungi ITS primers citing Ihrmark 2012 and Bokulich 2013"

Synthesis Agent → gap detection(ITS bias) → Writing Agent → latexEditText(intro), latexSyncCitations(Ihrmark, Bokulich) → latexCompile → formatted PDF with bibliography and primer comparison table.

"Find code for fungal ITS phylogeny analysis linked to rust papers"

Research Agent → findSimilarPapers(Schoch 2014) → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → R script for multi-locus alignment and rust taxonomy tree generation.

Automated Workflows

Deep Research workflow scans 50+ Pucciniales papers via searchPapers → citationGraph → structured report on ITS phylogeny evolution (Dean et al., 2012). DeepScan applies 7-step CoVe to verify species boundaries in Jeewon (2016) with GRADE checkpoints. Theorizer generates hypotheses on rust clonality from Hovmøller et al. (2002) and Gladieux et al. (2013).

Try Doxa for Rust Fungi Taxonomy and Phylogeny Research

Frequently Asked Questions

What defines Rust Fungi Taxonomy and Phylogeny?

Molecular systematics of Pucciniales using ITS and multi-locus data to resolve generic limits, life cycles, and speciation (Schoch et al., 2014).

What are key methods in rust fungi phylogeny?

ITS2 primers for community profiling (Ihrmark et al., 2012), ultra-high-throughput sequencing (Bokulich & Mills, 2013), and multi-locus phylogenetics linking names to specimens (Schoch et al., 2014).

What are the most cited papers?

Dean et al. (2012, 4407 citations) ranks top rust pathogens; Ihrmark et al. (2012, 2030 citations) develops ITS primers; Schoch et al. (2014, 473 citations) links fungal data.

What are open problems?

Resolving primer biases, species boundaries via multi-locus data, and clonal migration impacts on rust taxonomy (Jeewon, 2016; Hovmøller et al., 2002).