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Free, publicly-accessible full text available November 22, 2025
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Gregor, Rachel; Johnston, Juliet; Coe, Lisa_Shu Yang; Evans, Natalya; Forsythe, Desiree; Jones, Robert; Muratore, Daniel; de_Oliveira, Bruno_Francesco Rodrigues; Szabo, Rachel; Wan, Yu; et al (, mSystems)Lynn_Ishaq, Suzanne (Ed.)ABSTRACT Microbiology conferences can be powerful places to build collaborations and exchange ideas, but for queer and transgender (trans) scientists, they can also become sources of alienation and isolation. Many conference organizers would like to create welcoming and inclusive events but feel ill-equipped to make this vision a reality, and a historical lack of representation of queer and trans folks in microbiology means we rarely occupy these key leadership roles ourselves. Looking more broadly, queer and trans scientists are systematically marginalized across scientific fields, leading to disparities in career outcomes, professional networks, and opportunities, as well as the loss of unique scientific perspectives at all levels. For queer and trans folks with multiple, intersecting, marginalized identities, these barriers often become even more severe. Here, we draw from our experiences as early-career microbiologists to provide concrete, practical advice to help conference organizers across research communities design inclusive, safe, and welcoming conferences, where queer and trans scientists can flourish.more » « less
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Petras, Daniel; Phelan, Vanessa V.; Acharya, Deepa; Allen, Andrew E.; Aron, Allegra T.; Bandeira, Nuno; Bowen, Benjamin P.; Belle-Oudry, Deirdre; Boecker, Simon; Cummings, Dale A.; et al (, Nature Methods)
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microbeMASST: a taxonomically informed mass spectrometry search tool for microbial metabolomics dataZuffa, Simone; Schmid, Robin; Bauermeister, Anelize; P. Gomes, Paulo Wender; Caraballo-Rodriguez, Andres M.; El Abiead, Yasin; Aron, Allegra T.; Gentry, Emily C.; Zemlin, Jasmine; Meehan, Michael J.; et al (, Nature Microbiology)Abstract microbeMASST, a taxonomically informed mass spectrometry (MS) search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging a curated database of >60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns. Identification of microbe-derived metabolites and relative producers without a priori knowledge will vastly enhance the understanding of microorganisms’ role in ecology and human health.more » « less
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