Evidence map›Paper›PMID 39490737›Full record

ArticleJournal of advanced research2025

Chromosome-scale assembly with improved annotation provides insights into breed-wide genomic structure and diversity in domestic cats.

Yuki Matsumoto, Claire Yik-Lok Chung, Sachiko Isobe, Mika Sakamoto, Xiao Lin, Ting-Fung Chan, Hideki Hirakawa, Genki Ishihara, Hon-Ming Lam, Shinobu Nakayama and 7 more

Abstract read
In one paragraph

Article in Journal of advanced research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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  5. MedakaBase as a unified genomic resource platform for medaka fish biology.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
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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

17 authors.

Yuki MatsumotoResearch and Development Section, Anicom Specialty Medical Institute Inc., Yokohama, Kanagawa, Japan; Data Science Center, Azabu University, Sagamihara, Kanagawa, Japan. Electronic address: y-matsumoto@azabu-u.ac.jp.
Claire Yik-Lok ChungSchool of Life Sciences and the Center for Soybean Research of the State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region.
Sachiko IsobeKazusa DNA Research Institute, Kisarazu, Chiba, Japan.
Mika SakamotoNational Institute of Genetics, Research Organization of Information and Systems, Mishima, Shizuoka, Japan.
Xiao LinSchool of Life Sciences and the Center for Soybean Research of the State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region.
Ting-Fung ChanSchool of Life Sciences and the Center for Soybean Research of the State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region.
Hideki HirakawaKazusa DNA Research Institute, Kisarazu, Chiba, Japan.
Genki IshiharaResearch and Development Section, Anicom Specialty Medical Institute Inc., Yokohama, Kanagawa, Japan.
Hon-Ming LamSchool of Life Sciences and the Center for Soybean Research of the State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region.
Shinobu NakayamaKazusa DNA Research Institute, Kisarazu, Chiba, Japan.
Shigemi SasamotoKazusa DNA Research Institute, Kisarazu, Chiba, Japan.
Yasuhiro TanizawaNational Institute of Genetics, Research Organization of Information and Systems, Mishima, Shizuoka, Japan.
Akiko WatanabeKazusa DNA Research Institute, Kisarazu, Chiba, Japan.
Kei WatanabeResearch and Development Section, Anicom Specialty Medical Institute Inc., Yokohama, Kanagawa, Japan.
Masaru YaguraNational Institute of Genetics, Research Organization of Information and Systems, Mishima, Shizuoka, Japan.
Yoshihito NiimuraDepartment of Veterinary Sciences, Faculty of Agriculture, University of Miyazaki, Miyazaki, Miyazaki, Japan.
Yasukazu NakamuraNational Institute of Genetics, Research Organization of Information and Systems, Mishima, Shizuoka, Japan. Electronic address: yn@nig.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionComprehensive genomic resources offer insights into biological features, including traits/disease-related genetic loci. The current reference genome assembly for the domestic cat (Felis catus), Felis_Catus_9.0 (felCat9), derived from sequences of the Abyssinian cat, may inadequately represent the general cat population, limiting the extent of deducible genetic variations.

objectivesThe goal was to develop Anicom American Shorthair 1.0 (AnAms1.0), a reference-grade chromosome-scale cat genome assembly.

methodsIn contrast to prior assemblies relying on Abyssinian cat sequences, AnAms1.0 was constructed from the sequences of more popular American Shorthair breed, which is related to more breeds than the Abyssinian cat. By combining advanced genomics technologies, including PacBio long-read sequencing and Hi-C- and optical mapping data-based sequence scaffolding, we compared AnAms1.0 to existing Felidae genome assemblies (20 scaffolds, scaffolds N50 > 150 Mbp). Homology-based and ab initio gene annotation through Iso-Seq and RNA-Seq was used to identify new coding genes and splice variants.

resultsAnAms1.0 demonstrated superior contiguity and accuracy than existing Felidae genome assemblies. Using AnAms1.0, we identified over 1.5 thousand structural variants and 29 million repetitions compared to felCat9. Additionally, we identified > 1,600 novel protein-coding genes. Notably, olfactory receptor structural variants and cardiomyopathy-related variants were identified.

conclusionAnAms1.0 facilitates the discovery of novel genes related to normal and disease phenotypes in domestic cats. The analyzed data are publicly accessible on Cats-I (https://cat.annotation.jp/), which we established as a platform for accumulating and sharing genomic resources to discover novel genetic traits and advance veterinary medicine.

Indexed as

ChromosomesGenetic VariationGenomeGenomicsAnimalsBreedingCatsMolecular Sequence AnnotationFeline genomicsHi-C sequencingOlfactory receptor genesPacBio sequencingPrecision medicineStructural variants

Identifiers

PMID39490737
PMCPMC12789764

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Registered trials

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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.