Evidence map›Paper›PMID 40672204›Full record

ArticlebioRxiv : the preprint server for biology2025

Sex chromosome identification and genome curation from a single individual with SCINKD.

Brendan J Pinto, Simone M Gable, Shannon E Keating, Chase H Smith, Tony Gamble, Stuart V Nielsen, Melissa A Wilson

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Brendan J PintoComparative Genomics and Reproductive Health Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-4243-5788
Simone M GableCenter for Evolution and Medicine, Arizona State University, Tempe, AZ USA.ORCID 0000-0001-6656-4034
Shannon E KeatingDepartment of Biological Sciences, Marquette University, Milwaukee, WI, USA.ORCID 0000-0003-2601-0816
Chase H SmithDepartment of Integrative Biology, University of Texas, Austin, TX, USA.ORCID 0000-0002-1499-0311
Tony GambleDepartment of Zoology, Milwaukee Public Museum, Milwaukee, WI USA.ORCID 0000-0002-0204-8003
Stuart V NielsenMuseum of Life Sciences, Department of Biological Sciences, Louisiana State University Shreveport, Shreveport, LA, USA.ORCID 0000-0002-3114-1469
Melissa A WilsonComparative Genomics and Reproductive Health Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-2614-0285

Funding

Population dynamics and medical consequences of sex chromosome evolutionR35GM124827 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WILSON, MELISSA A · 2017 to 2024
$2.7M
Causes and Consequences of Mitochondrial MutationsR35GM142836 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI HAVIRD, JUSTIN C · 2021 to 2025
$2.0M
NIGMS NIH HHS R35 GM124827NIGMS NIH HHS R35 GM142836
6 · The paper itself

Abstract

In most animal species, the sex determining pathway is typically initiated by the presence/absence of a primary genetic cue at a critical point during development. This primary genetic cue is often located on a single locus-referred to as sex chromosomes-and can be limited to females (in a ZZ/ZW system) or males (in an XX/XY system). One trademark of sex chromosomes is a restriction or cessation of recombination surrounding the sex-limited region (to prevent its inheritance in the homogametic sex). This may lead to-through a variety of mechanisms-higher amounts of genetic divergence within this region, i.e. between the X/Z and Y/W chromosomes, especially when compared to their autosomal counterparts. Recent advances in genome sequencing and computation have brought with them the ability to resolve haplotypes within a diploid individual, permitting assembly of previously challenging genomic regions like sex chromosomes. Leveraging these advances, we identified replicable diagnostic characteristics between typical autosomes and sex chromosomes (within a single genome assembly). Under this framework, we can use this information to identify putative sex chromosome linkage groups across divergent vertebrate taxa and simultaneously curate misassembled regions on autosomes. Here, we present this conceptual framework and associated tool for identifying candidate sex chromosome linkage groups from a single, diploid individual dubbed Sex Chromosome Identification by Negating Kmer Densities, or SCINKD.

Identifiers

PMID40672204
PMCPMC12265721

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.