Costs and benefits of giant sperm and sperm storage organs in <i>Drosophila melanogaster</i> is a research paper published in Journal of Evolutionary Biology (2019). On theSindex it has a DataRank of 0.409. It has been cited 9 times, with 6 citing works in its 1-hop citation network.
Abstract In Drosophila , long sperm are favoured in sperm competition based on the length of the female's primary sperm storage organ, the seminal receptacle ( SR ). This sperm– SR interaction, together with a genetic correlation between the traits, suggests that the coevolution of exaggerated sperm and SR lengths may be driven by Fisherian runaway selection. Here, we explore the costs and benefits of long sperm and SR genotypes, both in the sex that carries them and in the sex that does not. We measured male and female fitness in inbred lines of Drosophila melanogaster derived from four populations previously selected for long sperm, short sperm, long SR s or short SR s. We specifically asked: What are the costs and benefits of long sperm in males and long SR s in females? Furthermore, do genotypes that generate long sperm in males or long SR s in females impose a fitness cost on the opposite sex? Answers to these questions will address whether long sperm are an honest indicator of male fitness, male post‐copulatory success is associated with male precopulatory success, female choice benefits females or is costly, and intragenomic conflict could influence evolution of these traits. We found that both sexes have increased longevity in long sperm and long SR genotypes. Males, but not females, from long SR lines had higher fecundity. Our results suggest that sperm– SR coevolution is facilitated by both increased viability and indirect benefits of long sperm and SR s in both sexes.
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Base Score Contribution
0.345
From this paper's citation signal
Citation Network Contribution
0.0638
From 5 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 84% comes from its base citations and 16% from the citation network (5 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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