ArticleGenome biology and evolution2025
A Complete Assembly and Annotation of the American Shad Genome Yields Insights into the Origins of Diadromy.
Article in Genome biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Chromosome-scale genome of European anchovy (Engraulis encrasicolus L., 1758) and comparative genomics uncover clupeid-specific immune gene expansions.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026Article
- Multiple modes of selection underlie repeated and human-mediated adaptation in a formerly migratory fish.Molecular biology and evolution · 2026Article
- A dataset of whole-genome sequencing and genomic variants for the American Shad,Data in brief · 2026Article
- Integrated Monitoring of Water Quality, Metal Ions, and Antibiotic Residues, with Isolation and Optimization of Enrofloxacin-Degrading Bacteria in American Shad (Journal of xenobiotics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Transitions across ecological boundaries, such as those separating freshwater from the sea, are major drivers of phenotypic innovation and biodiversity. Despite their importance to evolutionary history, we know little about the mechanisms by which such transitions are accomplished. To help shed light on these mechanisms, we generated the first high-quality, near-complete assembly and annotation of the genome of the American shad (Alosa sapidissima), an ancestrally diadromous (migratory between salinities) fish in the order Clupeiformes of major cultural and historical significance. Among the Clupeiformes, there is a large amount of variation in salinity habitat and many independent instances of salinity boundary crossing, making this taxon well-suited for studies of mechanisms underlying ecological transitions. Our initial analysis of the American shad genome reveals several unique insights for future study including: (i) that genomic repeat content is among the highest of any fish studied to date; (ii) that genome-wide heterozygosity is low and may be associated with range-wide population collapses since the 19th century; and (iii) that natural selection has acted on the branch leading to the diadromous genus Alosa. Our analysis suggests that functional targets of natural selection may include diet, particularly lipid metabolism, as well as cytoskeletal remodeling and sensing of salinity changes. Natural selection on these functions is expected in the transition from a marine to diadromous life history, particularly in the tolerance of nutrient- and ion-devoid freshwater. We anticipate that our assembly of the American shad genome will be used to test future hypotheses on adaptation to novel environments, the origins of diadromy, and adaptive variation in life history strategies, among others.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.