G3 Genes Genomes GeneticsGenomicsPeer-reviewed journal article
Dynamic evolution of AT-rich isochores shapes the genome of an intertidal fungus Annulohypoxylon annulatoides
Che-Yu Thiat-Ut KuoiD, Yu-Ching Liu, Cheng-Ju YangiD, Chieh-Ping LiniD, H Chen, Huei‐Mei HsiehiD, Yu‐Ming JuiD, Tsui-Hua Liu, Yi-Chien LeeiD, Isheng Jason TsaiiD
Abstract
Marine and coastal fungi experience intense environmental variability, yet the genomic mechanisms enabling filamentous fungi to tolerate such conditions remain unclear. From 56 fungal isolates collected along the Lailai rocky shore in northern Taiwan, we selected Annulohypoxylon annulatoides for deeper investigation due to its prevalence and distinctive stress response. Phenotypic assays revealed that this strain exhibits distinct growth and recovery dynamics under salinity, temperature, and UV stress compared to conspecific strains isolated from tree bark. To investigate the genomic basis of its adaptation, we generated a high-quality 41.8 Mbp de novo genome assembly with 11,529 predicted proteins. Across Hypoxylaceae genomes, we identified variably sized and dispersed AT-rich isochores, which in A. annulatoides were enriched in repeats and displayed low gene density. Despite differences in AT content, core gene content and Pfam domain profiles remained conserved. These AT-rich isochores exhibit several sequence and structural features consistent with scaffold/matrix attachment regions (S/MARs), raising the possibility that they influence higher-order genome organisation. Comparative analyses suggest they arose through independent repeat insertions or via ancestral repeat amplifications. Together, our findings point to a role for AT-rich isochores in shaping genome architecture and potentially mediating stress-responsive regulation, supporting the broader environmental flexibility observed in Hypoxylaceae, including adaptation to dynamic coastal habitats.
- organism: fungi (other)
- assay: whole-genome sequencing
- research focus: genome assembly
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 42th percentile
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