Evidence map›Paper›PMID 42684468›Full record

ArticleChromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology2026

Structural genome variation drives adaptation of the xylose-fermenting yeast Scheffersomyces stipitis to lignocellulosic hydrolysates.

Samuel Vega-Estévez, Andrew Armitage, Bruce S Dien, Patricia J Slininger, Alessia Buscaino

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Article in Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Samuel Vega-EstévezKent Fungal Group, School of Biosciences, Division of Natural Sciences, University of Kent Canterbury, Kent, CT2 7NZ, UK.
Andrew ArmitageNatural Resources Institute, University of Greenwich, Kent, ME4 4TB, UK.
Bruce S DienBioenergy Research Unit, National Center for Agricultural Utilization Research, USDA, Agricultural Research Service, 1815 N. University, Peoria, IL, 61604, USA.
Patricia J SliningerBioenergy Research Unit, National Center for Agricultural Utilization Research, USDA, Agricultural Research Service, 1815 N. University, Peoria, IL, 61604, USA.
Alessia BuscainoKent Fungal Group, School of Biosciences, Division of Natural Sciences, University of Kent Canterbury, Kent, CT2 7NZ, UK. Alessia.Buscaino@quadram.ac.uk.ORCID https://orcid.org/0000-0002-1704-3168

Funding

Biotechnology and Biological Sciences Research Council BB/T006315/1Biotechnology and Biological Sciences Research Council BB/X011054/1UK Research and Innovation SIPF00004/1U.S. Department of Agriculture, Agricultural Research Service 5010-41000-189U.S. Department of Agriculture, Agricultural Research Service, United States 5010-41000-189
6 · The paper itself

Abstract

Second-generation (2G) bioethanol from lignocellulosic feedstocks is a sustainable alternative to fossil fuels. However, its production is constrained by the poor performance of industrial microbes in hydrolysates that are generated during biomass pretreatment. Scheffersomyces stipitis is a native xylose fermenting yeast and a promising platform for 2G bioethanol production, and adaptive evolution under hydrolysate stress has yielded strains with enhanced performance. However, the chromosomal basis of this adaptation is unknown. Here, we demonstrate that chromosome scale structural variation, rather than point mutations, underlies the improved phenotype of the evolved strains. By integrating long- and short-read genome sequencing, we identify two major chromosomal rearrangements in the top performing isolate: a reciprocal translocation between chromosomes 1 and 2 that disrupts the NUDIX hydrolase gene YSA1, and the formation of a mitotically stable 175 kb minichromosome derived from chromosome 5. Functional analyses show that disruption of YSA1 enhances xylose utilisation and ethanol yield, while the minichromosome contributes to improved performance in hydrolysate conditions. These findings provide direct evidence that balanced rearrangements and minichromosome formation can be selected during prolonged stress and can generate adaptive phenotypes. Taken together, our study establishes genome reorganisation as a key driver of adaptation in S. stipitis.

Indexed as

Adaptation, PhysiologicalGenome, FungalLigninSaccharomycetalesXyloseChromosomes, FungalEthanolFermentationNudix HydrolasesPyrophosphatasesEthanolLigninlignocelluloseNudix HydrolasesPyrophosphatasesXyloseAdaptive evolutionBioethanol productionChromosomal rearrangementsIndustrial yeast adaptationMinichromosome formationStructural genome variation

Identifiers

PMID42684468
PMCPMC13538198

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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.