Evidence map›Paper›PMID 34362297›Full record

ArticleBMC genomics2021

Exploiting genomic synteny in Felidae: cross-species genome alignments and SNV discovery can aid conservation management.

Georgina Samaha, Claire M Wade, Hamutal Mazrier, Catherine E Grueber, Bianca Haase

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 35% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. A review of standardized high-throughput cardiovascular phenotyping with a link to metabolism in mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Georgina SamahaSydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney, NSW, Australia. georgina.samaha@sydney.edu.au.ORCID http://orcid.org/0000-0003-0419-1476
Claire M WadeSchool of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.
Hamutal MazrierSydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
Catherine E Grueber *School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.
Bianca Haase *Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
The University of Sydney · AU

Funding

Jenna O'Grady Donley Fund Jenna O'Grady Donley Fund
6 · The paper itself

Abstract

backgroundWhile recent advances in genomics has enabled vast improvements in the quantification of genome-wide diversity and the identification of adaptive and deleterious alleles in model species, wildlife and non-model species have largely not reaped the same benefits. This has been attributed to the resources and infrastructure required to develop essential genomic datasets such as reference genomes. In the absence of a high-quality reference genome, cross-species alignments can provide reliable, cost-effective methods for single nucleotide variant (SNV) discovery. Here, we demonstrated the utility of cross-species genome alignment methods in gaining insights into population structure and functional genomic features in cheetah (Acinonyx jubatas), snow leopard (Panthera uncia) and Sumatran tiger (Panthera tigris sumatrae), relative to the domestic cat (Felis catus).

resultsAlignment of big cats to the domestic cat reference assembly yielded nearly complete sequence coverage of the reference genome. From this, 38,839,061 variants in cheetah, 15,504,143 in snow leopard and 13,414,953 in Sumatran tiger were discovered and annotated. This method was able to delineate population structure but limited in its ability to adequately detect rare variants. Enrichment analysis of fixed and species-specific SNVs revealed insights into adaptive traits, evolutionary history and the pathogenesis of heritable diseases.

conclusionsThe high degree of synteny among felid genomes enabled the successful application of the domestic cat reference in high-quality SNV detection. The datasets presented here provide a useful resource for future studies into population dynamics, evolutionary history and genetic and disease management of big cats. This cross-species method of variant discovery provides genomic context for identifying annotated gene regions essential to understanding adaptive and deleterious variants that can improve conservation outcomes.

Indexed as

FelidaeAllelesAnimalsBiological EvolutionCatsGenomicsSyntenyCatCheetahConservationCross-speciesFelidsGenomicsSnow leopardSNVTigerWGS

Identifiers

PMID34362297
PMCPMC8348863
OpenAlexW3188505025

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.