= Solution
\b[Objective and rationale.] Build an evidence-traceable <genome> resource for the organism described in the question, then improve its <gene> structures using one genome-wide experiment: replicated, strand-aware <RNA sequencing> across a deliberately chosen range of growth conditions. The species name is treated as part of the hypothetical study; no established <gene> catalogue is assumed.
Poor annotation limits both discovery and interpretation. Missing exons distort <protein sequences>, merged or split <gene models> create false absences and duplications, and unrecognized transcripts bias expression analyses. Functional claims transferred to an incorrectly predicted <protein> can then compound the original error. Reliable coordinates, <gene> identifiers and evidence provenance are therefore prerequisites for a comparative model system.
\b[Resource construction.] Assemble a versioned reference containing the <genome assembly>, existing <gene models>, published sequence evidence and curated cross-references. Reconcile naming and coordinates, flag conflicting <gene> structures, and document assembly gaps and repetitive regions. Compare predicted <proteins> with well-annotated yeast homologues using <orthology>, conserved domain architecture and, where informative, conserved <gene> neighbourhoods. Sequence similarity is evidence for a relationship; it is not sufficient to give every paralogue its best hit's exact function.
\b[Genome-wide experiment.] Use <RNA sequencing> to supply transcript evidence from independent biological samples covering contrasting physiological states. Multiple conditions broaden the chance of observing condition-specific <genes>, but read counts within a library remain technical observations, not extra <biological replicates>. Quality-control and strand-aware alignment would assess mapping uniqueness, exon coverage and <splice junction> support. Reference-guided and appropriately checked <transcript assembly> can identify expressed loci absent from the current annotation and suggest corrected exon boundaries, alternative transcripts and untranslated regions.
Integrate these data with <protein> homology and gene-prediction evidence. A proposed exon should have coherent splice support and coding plausibility; an isolated ambiguous read is insufficient. Keep alternative models and confidence levels when repeat structure or incomplete coverage prevents a unique assignment. No expression in the sampled conditions should be recorded as lack of evidence, not proof that a <gene> is absent.
\b[Validation and functional annotation.] Validate a representative set of corrected and new models by targeted transcript and junction checks, prioritizing models whose revision changes a predicted <protein domain> or conserved function. Retain known positive controls and distinguish biological alternatives from assembly or mapping errors. Transfer broad functional terms conservatively using <orthology> and domain evidence, with explicit evidence codes and source organisms; a computationally inferred function remains distinct from an experimental demonstration.
<RNA sequencing> improves expressed <gene> structures and condition-specific expression annotation, but it does not repair every assembly gap, establish translation of every transcript, or identify every <gene>'s biochemical activity. Those limitations should remain visible in the resource. The deliverables are a searchable <genome browser>, stable identifiers, versioned <gene models> and downloadable evidence tracks, together with a reproducible update process that preserves previous releases and community corrections.
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