Comprehensive writing guide for Nature, Science, and related high-impact multidisciplinary journals (Nature Communications, Science Advances, PNAS).
Reviewed: 2026-07-20
Writing guidance is descriptive. Check the exact journal, contribution type, and current author instructions before applying numeric limits.
Nature and Science are the world's premier multidisciplinary scientific journals. Papers published here must appeal to scientists across all disciplines, not just specialists. This fundamentally shapes the writing style.
"If a structural biologist can't understand why your particle physics paper matters, it won't be published in Nature."
Primary Goal: Communicate groundbreaking science to an educated but non-specialist audience.
| Characteristic | Description |
|---|---|
| Accessible | Avoid jargon; explain technical concepts |
| Engaging | Hook the reader; tell a story |
| Significant | Emphasize why this matters broadly |
| Confident | State findings clearly (with appropriate hedging) |
| Active | Use active voice; first person acceptable |
Write as flowing prose covering:
The origins of multicellular life remain one of biology's greatest mysteries.
How individual cells first cooperated to form complex organisms has been
difficult to study because the transition occurred over 600 million years ago.
Here we show that the unicellular alga Chlamydomonas reinhardtii can evolve
simple multicellular structures within 750 generations when exposed to
predation pressure. Using experimental evolution with the predator Paramecium,
we observed the emergence of stable multicellular clusters in 5 of 10
replicate populations. Genomic analysis revealed that mutations in just two
genes—encoding cell adhesion proteins—were sufficient to trigger this
transition. These results demonstrate that the evolution of multicellularity
may require fewer genetic changes than previously thought, providing insight
into one of life's major transitions.
❌ Too technical:
"Using CRISPR-Cas9-mediated knockout of the CAD1 gene (encoding cadherin-1) in C. reinhardtii strain CC-125, we demonstrated that loss of CAD1 function combined with overexpression of FLA10 under control of the HSP70A/RBCS2 tandem promoter..."
❌ Too vague:
"We studied how cells can form groups. Our results are interesting and may have implications for understanding evolution."
Paragraph 1: The Big Picture - Open with a broad, engaging statement about the field - Establish why this area matters to science/society - Accessible to any scientist
Example:
"The ability to predict protein structure from sequence alone has been a grand
challenge of biology for over 50 years. Accurate predictions would transform
drug discovery, enable understanding of disease mechanisms, and illuminate the
fundamental rules governing molecular self-assembly."
Paragraph 2-3: What We Know - Review key prior work (selectively, not exhaustively) - Build toward the gap you'll address - Keep citations focused on essential papers
Example:
"Significant progress has been made through template-based methods that
leverage known structures of homologous proteins. However, for the estimated
30% of proteins without detectable homologs, prediction accuracy has remained
limited. Deep learning approaches have shown promise, achieving improved
accuracy on benchmark datasets, yet still fall short of experimental accuracy
for many protein families."
Paragraph 4: The Gap - Clearly state what remains unknown or unresolved - Frame this as an important problem
Example:
"Despite these advances, the fundamental question remains: can we predict
protein structure with experimental-level accuracy for proteins across all
of sequence space? This capability would democratize structural biology and
enable rapid characterization of newly discovered proteins."
Final Paragraph: This Paper - State what you did and preview key findings - Signal the significance of your contribution
Example:
"Here we present AlphaFold2, a neural network architecture that predicts
protein structure with atomic-level accuracy. In the CASP14 blind assessment,
AlphaFold2 achieved a median GDT score of 92.4, matching experimental
accuracy for most targets. We show that this system can be applied to predict
structures across entire proteomes, opening new avenues for understanding
protein function at scale."
Story-driven, not experiment-driven
Organize by finding, not by the chronological order of experiments:
❌ Experiment-driven (avoid):
"We first performed experiment A. Next, we did experiment B. Then we conducted experiment C."
✅ Finding-driven (preferred):
"We discovered that X. To understand the mechanism, we found that Y. This led us to test whether Z, confirming our hypothesis."
To test whether protein X is required for cell division, we generated
knockout cell lines using CRISPR-Cas9 (Fig. 1a). Cells lacking protein X
showed a 73% reduction in division rate compared to controls (P < 0.001,
n = 6 biological replicates; Fig. 1b). Live-cell imaging revealed that
knockout cells arrested in metaphase, with 84% showing abnormal spindle
morphology (Fig. 1c,d). These results demonstrate that protein X is
essential for proper spindle assembly and cell division.
Use descriptive subheadings that convey findings:
❌ Vague: "Protein expression analysis" ✅ Informative: "Protein X is upregulated in response to stress"
Paragraph 1: Summary of Key Findings - Restate main findings (don't repeat Results verbatim) - State whether hypotheses were supported
Paragraphs 2-3: Interpretation and Context - What do the findings mean? - How do they relate to prior work? - What mechanisms might explain the results?
Paragraph 4: Broader Implications - Why does this matter beyond your specific system? - Connections to other fields - Potential applications
Paragraph 5: Limitations - Acknowledge limitations honestly - Be specific, not generic
Final Paragraph: Conclusions and Future - Big-picture take-home message - Brief mention of future directions
❌ Generic: "Our study has limitations that should be addressed in future work."
✅ Specific: "Our analysis was limited to cultured cells, which may not fully recapitulate the tissue microenvironment. Additionally, the 48-hour observation window may miss slower-developing phenotypes."
Nature values conceptual figures alongside data:
Figure 1 | Protein X controls cell division through spindle assembly.
a, Schematic of the experimental approach. b, Quantification of cell
division rate in control (grey) and knockout (blue) cells. Data are
mean ± s.e.m., n = 6 biological replicates. ***P < 0.001, two-tailed
t-test. c,d, Representative images of spindle morphology in control (c)
and knockout (d) cells. Scale bars, 10 μm.
1. Watson, J. D. & Crick, F. H. C. Molecular structure of nucleic acids.
Nature 171, 737–738 (1953).
2. Smith, A. B., Jones, C. D. & Williams, E. F. Discovery of protein X.
Science 380, 123–130 (2023).
| Avoid | Prefer |
|---|---|
| utilize | use |
| methodology | method |
| in order to | to |
| a large number of | many |
| at this point in time | now |
| has the ability to | can |
| it is interesting to note that | [delete entirely] |
| Feature | Nature | Science |
|---|---|---|
| Abstract length | 150-200 words | ≤125 words |
| Citation style | Numbered superscript | Numbered parentheses (1, 2) |
| Article titles in refs | Yes | No (in main refs) |
| Methods placement | End of paper or supplement | Supplement |
| Significance statement | No | No |
| Open access option | Yes | Yes |
venue_writing_styles.md - Master style overviewjournals_formatting.md - Technical formatting requirementsreviewer_expectations.md - What Nature/Science reviewers seek