Evidence map›Paper›PMID 36734171›Full record

ArticleGigaScience2022

Chromosome-level genome assembly of goose provides insight into the adaptation and growth of local goose breeds.

Qiqi Zhao, Zhenping Lin, Junpeng Chen, Zi Xie, Jun Wang, Keyu Feng, Wencheng Lin, Hongxin Li, Zezhong Hu, Weiguo Chen and 5 more

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

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  12. High-quality chromosome-level genome assembly of the Northern Pacific sea star Asterias amurensis.DNA research : an international journal for rapid publication of reports on genes and genomes · 2024
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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

15 authors at 3 institutions in 2 countries.

Qiqi ZhaoHeyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China.ORCID 0000-0002-7661-9171
Zhenping LinShantou Baisha Research Institute of Original Species of Poultry and Stock, Shantou, Guangdong, 515000, China.
Junpeng ChenShantou Baisha Research Institute of Original Species of Poultry and Stock, Shantou, Guangdong, 515000, China.
Zi XieHeyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Jun WangCollege of Marine Sciences, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Keyu FengHeyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Wencheng LinHeyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Hongxin LiHeyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Zezhong HuHeyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Weiguo ChenHeyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Feng ChenHeyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Muhammad JunaidCollege of Marine Sciences, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Huanmin ZhangAvian Disease and Oncology Laboratory, Agriculture Research Service, United States Department of Agriculture, East Lansing, MI 48823, USA.
Qingmei XieHeyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Xinheng ZhangHeyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China.ORCID 0000-0001-6409-3160
South China Agricultural University · CNShantou University · CNUnited States Department of Agriculture · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnatidae contains numerous waterfowl species with great economic value, but the genetic diversity basis remains insufficiently investigated. Here, we report a chromosome-level genome assembly of Lion-head goose (Anser cygnoides), a native breed in South China, through the combination of PacBio, Bionano, and Hi-C technologies.

findingsThe assembly had a total genome size of 1.19 Gb, consisting of 1,859 contigs with an N50 length of 20.59 Mb, generating 40 pseudochromosomes, representing 97.27% of the assembled genome, and identifying 21,208 protein-coding genes. Comparative genomic analysis revealed that geese and ducks diverged approximately 28.42 million years ago, and geese have undergone massive gene family expansion and contraction. To identify genetic markers associated with body weight in different geese breeds, including Wuzong goose, Huangzong goose, Magang goose, and Lion-head goose, a genome-wide association study was performed, yielding an average of 1,520.6 Mb of raw data that detected 44,858 single-mucleotide polymorphisms (SNPs). Genome-wide association study showed that 6 SNPs were significantly associated with body weight and 25 were potentially associated. The significantly associated SNPs were annotated as LDLRAD4, GPR180, and OR, enriching in growth factor receptor regulation pathways.

conclusionsWe present the first chromosome-level assembly of the Lion-head goose genome, which will expand the genomic resources of the Anatidae family, providing a basis for adaptation and evolution. Candidate genes significantly associated with different goose breeds may serve to understand the underlying mechanisms of weight differences.

Indexed as

GeeseAnimalsBody WeightChromosomesGenome SizeGenome-Wide Association StudyPhylogenycomparative genomegenome assemblygenome-wide association studyLion-head goose

Identifiers

PMID36734171
PMCPMC9896136
OpenAlexW4319062363

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.