Manuscript title (or id)
Characterization of Long Non-Coding RNAs in the Eastern Oyster (Crassostrea virginica): Sex-Biased Expression, Sequence Conservation, and Co-expression Networks Under Ocean Acidification
Link to the draft you reviewed
https://docs.google.com/document/d/1Nx1GdJ2igvxWMo5VWHY2fL_H_Ws_ek-dFwd70-nQTrk/edit?tab=t.0#heading=h.auc0rhvni8uo
Section(s) reviewed
What's working well
This is a substantial, well-developed draft that is much closer to submission than to a rough first pass. The science is coherent, the analytical pipeline is thorough and clearly documented, and the central story — that Eastern oyster lncRNAs track sex and coordinated cellular programs more than ocean acidification (OA) — is consistent from the abstract through the discussion. That internal consistency is the draft's biggest strength.
Suggestions for improvement
TITLE
Current: "Characterization of Long Non-Coding RNAs in the Eastern Oyster (Crassostrea virginica): Sex-Biased Expression, Sequence Conservation, and Co-expression Networks Under Ocean Acidification"
What works: it is informative, names the organism, and signals the analyses. A reader knows exactly what domain they are in.
The issue is focus (Principle 1, the "Rule of One"). The subtitle lists three or four contributions — sex bias, conservation, co-expression, OA — which tells the reader you made several separate points rather than one central one. But your own abstract and discussion land on a single message: lncRNAs are tied to coordinated cellular programs more than to OA. Consider letting the title carry that finding. For example: "Long Non-Coding RNAs in the Eastern Oyster (Crassostrea virginica) Are Associated with Sex and Coordinated Cellular Programs Rather Than Ocean Acidification." That states the contribution rather than just the topics covered, which the guide notes makes titles both more memorable and more cited.
ABSTRACT
This is strong and close to done. It follows the broad -> narrow -> broad C-C-C arc well: it opens on lncRNAs as regulators, narrows to the oyster gap, states the approach ("Using previously published RNA-seq data..."), delivers concrete results, and closes with the broader "foundation for functional inference" line. At roughly 280 words it sits within the 150-300 target.
The gap sentence and the result should "fit like a key in a lock." The context sets up OA prominently, but the headline result is that OA mattered little. That is fine and honest, but make sure the abstract frames the question as "whether lncRNAs respond to OA AND how they are otherwise organized," so the reader is not surprised that the OA "key" turns out to be the negative result. The current version mostly does this — one sentence of sharpening would seal it.
INTRODUCTION
The narrowing structure is good and largely textbook: you move from lncRNAs broadly (para 1), to mechanisms (para 2), to marine invertebrates and bivalves (para 3), to Pacific oyster as a model (para 4), to the Eastern oyster gap and OA (para 5). That is a clean inverted triangle (territory -> niche -> occupy).
Two things to address.
First, the last two paragraphs both function as "gap + objectives" paragraphs and overlap. Paragraph 5 ends "It is not yet clear whether lncRNA expression in this species is sensitive to OA...," and paragraph 6 opens "Despite emerging insights, major gaps remain..." then lists the objectives. This is a small zig-zag (Principle 4): the gap is stated, broadened, then restated. Merge into one crisp final paragraph that states the gap once and then the objectives.
Second, there is no explicit hypothesis or objective stated in quantitative or testable form. The guide treats the final Introduction paragraph as pivotal and recommends stating objectives explicitly (e.g., "we tested the hypothesis that..."). Your closing sentence is a list of activities ("This study characterizes length and expression... examines... compares...") rather than a prediction. Even framing it as "we evaluated whether lncRNA expression in C. virginica is responsive to OA, and whether lncRNAs are co-expressed with functionally coherent mRNA modules" would give the reader a sharper target.
Also note a garbled clause to fix: "...bivalve lncRNAs of other species Eastern oyster (Crassostrea virginica)." That sentence lost a word somewhere.
METHODS
This is the most polished section and a genuine strength. It is organized by topic with informative subheadings (Experimental Design, Size/Genomic/Cross-Species, Differential Expression, Co-expression, Network Visualization), uses past tense throughout, and names specific tools and versions with citations (FastQC, fastp, HISAT2, StringTie, kallisto, DESeq2, BLASTn, OrthoFinder, igraph). A competent researcher could replicate this. The honesty about analytical limits ("Since formal community detection was not applied, clusters... were interpreted descriptively") is exactly the credibility-building the guide asks for.
A few refinements:
-
Subheading-to-Results mapping. The guide recommends Methods subheadings mirror Results subheadings so readers can move back and forth. Your Methods use decimal numbering (1.0-1.4) and Results use 2.0, 2.1, 2.3 — but the topics do not line up one-to-one and a number is skipped. Align them: if Methods 1.1 is "Size, Genomic Context, Cross-Species," the matching Results header should use the same wording, and the numbering should be continuous.
-
The |r| >= 0.99 threshold is described and justified, which is good. Consider briefly noting the consequence (how many pairs survived vs. a more conventional threshold) here or in Results so the reader can judge the tradeoff.
-
Scientific name conventions: italicize consistently. Many genus/species names are italicized but several are not (e.g., "C. virginica" and "C. gigas" appear in plain text in spots, "M.gigas" is missing a space). After first full mention, abbreviate the genus consistently (C. virginica).
-
Minor: "Custom GFF and FASTA files... were generated (Bengtsson, 2026)" — good that the software is cited; make sure the reader can tell what was newly generated here versus inherited from Venkataraman et al. (2024).
Questions for the author (optional)
No response
Overall assessment
🌊 Seaworthy with revisions — address suggestions above
Manuscript title (or id)
Characterization of Long Non-Coding RNAs in the Eastern Oyster (Crassostrea virginica): Sex-Biased Expression, Sequence Conservation, and Co-expression Networks Under Ocean Acidification
Link to the draft you reviewed
https://docs.google.com/document/d/1Nx1GdJ2igvxWMo5VWHY2fL_H_Ws_ek-dFwd70-nQTrk/edit?tab=t.0#heading=h.auc0rhvni8uo
Section(s) reviewed
What's working well
This is a substantial, well-developed draft that is much closer to submission than to a rough first pass. The science is coherent, the analytical pipeline is thorough and clearly documented, and the central story — that Eastern oyster lncRNAs track sex and coordinated cellular programs more than ocean acidification (OA) — is consistent from the abstract through the discussion. That internal consistency is the draft's biggest strength.
Suggestions for improvement
TITLE
Current: "Characterization of Long Non-Coding RNAs in the Eastern Oyster (Crassostrea virginica): Sex-Biased Expression, Sequence Conservation, and Co-expression Networks Under Ocean Acidification"
What works: it is informative, names the organism, and signals the analyses. A reader knows exactly what domain they are in.
The issue is focus (Principle 1, the "Rule of One"). The subtitle lists three or four contributions — sex bias, conservation, co-expression, OA — which tells the reader you made several separate points rather than one central one. But your own abstract and discussion land on a single message: lncRNAs are tied to coordinated cellular programs more than to OA. Consider letting the title carry that finding. For example: "Long Non-Coding RNAs in the Eastern Oyster (Crassostrea virginica) Are Associated with Sex and Coordinated Cellular Programs Rather Than Ocean Acidification." That states the contribution rather than just the topics covered, which the guide notes makes titles both more memorable and more cited.
ABSTRACT
This is strong and close to done. It follows the broad -> narrow -> broad C-C-C arc well: it opens on lncRNAs as regulators, narrows to the oyster gap, states the approach ("Using previously published RNA-seq data..."), delivers concrete results, and closes with the broader "foundation for functional inference" line. At roughly 280 words it sits within the 150-300 target.
The gap sentence and the result should "fit like a key in a lock." The context sets up OA prominently, but the headline result is that OA mattered little. That is fine and honest, but make sure the abstract frames the question as "whether lncRNAs respond to OA AND how they are otherwise organized," so the reader is not surprised that the OA "key" turns out to be the negative result. The current version mostly does this — one sentence of sharpening would seal it.
INTRODUCTION
The narrowing structure is good and largely textbook: you move from lncRNAs broadly (para 1), to mechanisms (para 2), to marine invertebrates and bivalves (para 3), to Pacific oyster as a model (para 4), to the Eastern oyster gap and OA (para 5). That is a clean inverted triangle (territory -> niche -> occupy).
Two things to address.
First, the last two paragraphs both function as "gap + objectives" paragraphs and overlap. Paragraph 5 ends "It is not yet clear whether lncRNA expression in this species is sensitive to OA...," and paragraph 6 opens "Despite emerging insights, major gaps remain..." then lists the objectives. This is a small zig-zag (Principle 4): the gap is stated, broadened, then restated. Merge into one crisp final paragraph that states the gap once and then the objectives.
Second, there is no explicit hypothesis or objective stated in quantitative or testable form. The guide treats the final Introduction paragraph as pivotal and recommends stating objectives explicitly (e.g., "we tested the hypothesis that..."). Your closing sentence is a list of activities ("This study characterizes length and expression... examines... compares...") rather than a prediction. Even framing it as "we evaluated whether lncRNA expression in C. virginica is responsive to OA, and whether lncRNAs are co-expressed with functionally coherent mRNA modules" would give the reader a sharper target.
Also note a garbled clause to fix: "...bivalve lncRNAs of other species Eastern oyster (Crassostrea virginica)." That sentence lost a word somewhere.
METHODS
This is the most polished section and a genuine strength. It is organized by topic with informative subheadings (Experimental Design, Size/Genomic/Cross-Species, Differential Expression, Co-expression, Network Visualization), uses past tense throughout, and names specific tools and versions with citations (FastQC, fastp, HISAT2, StringTie, kallisto, DESeq2, BLASTn, OrthoFinder, igraph). A competent researcher could replicate this. The honesty about analytical limits ("Since formal community detection was not applied, clusters... were interpreted descriptively") is exactly the credibility-building the guide asks for.
A few refinements:
Subheading-to-Results mapping. The guide recommends Methods subheadings mirror Results subheadings so readers can move back and forth. Your Methods use decimal numbering (1.0-1.4) and Results use 2.0, 2.1, 2.3 — but the topics do not line up one-to-one and a number is skipped. Align them: if Methods 1.1 is "Size, Genomic Context, Cross-Species," the matching Results header should use the same wording, and the numbering should be continuous.
The |r| >= 0.99 threshold is described and justified, which is good. Consider briefly noting the consequence (how many pairs survived vs. a more conventional threshold) here or in Results so the reader can judge the tradeoff.
Scientific name conventions: italicize consistently. Many genus/species names are italicized but several are not (e.g., "C. virginica" and "C. gigas" appear in plain text in spots, "M.gigas" is missing a space). After first full mention, abbreviate the genus consistently (C. virginica).
Minor: "Custom GFF and FASTA files... were generated (Bengtsson, 2026)" — good that the software is cited; make sure the reader can tell what was newly generated here versus inherited from Venkataraman et al. (2024).
Questions for the author (optional)
No response
Overall assessment
🌊 Seaworthy with revisions — address suggestions above