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Rohlfs, R. V.

Publications and source records attributed to Rohlfs, R. V..

2 recordsLinked to original sources

Illuminating women’s hidden contribution to the foundation of theoretical population genetics

Plentiful evidence shows an historic and continuing gender gap in participation and success in scientific research. However, less attention has been directed at clarifying obscured contributions of women to science. The lack of visible women role models (particularly in computational fields) contributes to a reduced sense of belonging and retention among women. We seek to counteract this cycle by illuminating the contribution of women programmers to the foundation of our own fields--population and evolutionary genetics. We consider past acknowledged programmers (APs), who developed, ran, and sometimes analyzed the results of early computer programs. Due to authorship norms at the time, these programmers were credited in the acknowledgments sections of manuscripts, rather than being recognized as authors. For example, one acknowledgement reads \"I thanks Mrs. M. Wu for help with the numerical work, and in particular for computing table I.\". We identified APs in Theoretical Population Biology articles published between 1970 and 1990. While only 7% of authors were women, 43% of APs were women. This significant difference (p = 4.0x10-10) demonstrates a substantial proportion of womens contribution to foundational computational population genetics has been unrecognized. The proportion of women APs, as well as number of APs decreased over time. These observations correspond to the masculinization of computer programming, and the shifting of programming responsibilities to individuals credited as authors (likely graduate students). Finally, we note recurrent APs who contributed to several highly-cited manuscripts. We conclude that, while previously overlooked, historically, women have made substantial contributions to computational biology.

scientific communication and education

Subfunctionalization versus neofunctionalization after whole-genome duplication

The question of what is the predominant evolutionary fate of genes after duplication events has been hotly debated for decades1,2. Two recently published articles in Nature (Lien et al.3) and Nature Genetics (Braasch et al.4) investigated the regulatory fate of gene duplicates after the salmonid-specific (Ss4R) and teleost specific (Ts3R) whole genome duplication (WGD) events, respectively. Both studies relied on tissue expression atlases for estimating regulatory divergence and used closely related unduplicated sister taxa (i.e. Northern pike and the spotted gar, respectively) as proxies for the ancestral expression state. Surprisingly, the two studies reach very different conclusions about the evolutionary mechanisms impacting gene expression after WGD. Braasch et al.4 concluded that the expression divergence was consistent with partitioning of tissue regulation between duplicates (subfunctionalization), while Lien et al.3 concluded that most divergence in tissue regulation were consistent with one copy maintaining ancestral tissue regulation while the other having diverged (in line with neofunctionalization). Here we show that this striking discrepancy in the conclusions of the two studies is a consequence of the data analysis approaches used, and is not related to underlying differences in the data.

evolutionary biology