Article in G3 (Bethesda, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Sun LeeNorth Carolina Research Center (NCRC), Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Kannapolis, NC 28081, United States.
Caroline WestNorth Carolina Research Center (NCRC), Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Kannapolis, NC 28081, United States.
Dana A OpulenteBiology Department, Villanova University, Villanova, PA 19085, United States.
Marie-Claire HarrisonDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, United States.
John F WoltersLaboratory of Genetics, Wisconsin Energy Institute, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53726, United States.
Xing-Xing ShenCentre for Evolutionary and Organismal Biology, Institute of Insect Sciences, Zhejiang University, Hangzhou, Zhejiang 310027, China.ORCID 0000-0001-5765-1419
Xiaofan ZhouGuangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Center, South China Agricultural University, Guangzhou, Guangdong 510642, China.ORCID 0000-0002-2879-6317
Marizeth GroenewaldWesterdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, CT 3584, The Netherlands.
Chris Todd HittingerLaboratory of Genetics, Wisconsin Energy Institute, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53726, United States.ORCID 0000-0001-5088-7461
Antonis RokasDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, United States.ORCID 0000-0002-7248-6551
Abigail Leavitt LaBellaNorth Carolina Research Center (NCRC), Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Kannapolis, NC 28081, United States.ORCID 0000-0003-0068-6703
Funding
Deciphering the phenotypic and genomic traits that underlie the evolution of pathogenicity differences among Aspergillus fumigatus and its close relativesR01AI153356 · NIAID · VANDERBILT UNIVERSITY · PI Antonis Rokas · 2022 to 2026
$3.5M
Role of codon usage bias in eukaryotic evolution and regulationR35GM155455 · NIGMS · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI Abigail LaBella · 2024 to 2026
$1.1M
Burroughs Wellcome Fund, National Science Foundation DEB-2110403Burroughs Wellcome Fund, National Science Foundation DEB-2110404DOE Great Lakes Bioenergy Research Center DE-SC0018409H.I. Romnes Faculty Fellowship (Office of the Vice Chancellor for Research and Graduate Education with funding from the Wisconsin Alumni Research Foundation)Key Research Project of Zhejiang Lab 2021PE0AC04NIAID NIH HHS R01 AI153356NIGMS NIH HHS R35 GM155455NIH HHS R35GM155455NSF LR23C140001United States Department of Agriculture National Institute of Food and Agriculture Hatch Project 7005101
6 · The paper itself
Abstract
The Saccharomycotina fungi have evolved to inhabit a vast diversity of habitats over their 400-million-year evolution. There are, however, only a few known fungal pathogens of plants in this subphylum, primarily belonging to the genera Eremothecium and Geotrichum. We compared the genomes of 12 plant-pathogenic Saccharomycotina strains with 360 plant-associated strains to identify features unique to the phytopathogens. Characterization of the oxylipin synthesis genes, a compound believed to be involved in Eremothecium pathogenicity, did not reveal any differences in gene presence within or between the plant-pathogenic and plant-associated strains. A reverse-ecological approach, however, revealed that plant pathogens lack several metabolic enzymes known to assist other phytopathogens in overcoming plant defenses. This includes L-rhamnose metabolism, formamidase, and nitrilase genes. This result suggests that the Saccharomycotina plant pathogens are limited to infecting ripening fruits as they are without the necessary enzymes to degrade common phytohormones and secondary metabolites produced by plants.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Genomic factors limiting the diversity of Saccharomycotina plant pathogens. · full record | OpenQuestion