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

IF 11.8 2区 生物学 Q1 MULTIDISCIPLINARY SCIENCES
GigaScience Pub Date : 2022-12-28 Epub Date: 2023-02-03 DOI:10.1093/gigascience/giad003
Qiqi Zhao, Zhenping Lin, Junpeng Chen, Zi Xie, Jun Wang, Keyu Feng, Wencheng Lin, Hongxin Li, Zezhong Hu, Weiguo Chen, Feng Chen, Muhammad Junaid, Huanmin Zhang, Qingmei Xie, Xinheng Zhang
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引用次数: 0

Abstract

Background: Anatidae 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.

Findings: The 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.

Conclusions: We 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.

Abstract Image

Abstract Image

Abstract Image

鹅染色体组水平的基因组组装有助于深入了解当地鹅品种的适应性和生长情况。
背景:鹅科(Anatidae)包含众多具有重要经济价值的水禽物种,但对其遗传多样性基础的研究仍然不足。在此,我们通过结合 PacBio、Bionano 和 Hi-C 技术,报告了华南原生品种狮头鹅(Anser cygnoides)染色体组水平的基因组组装结果:组装的基因组总大小为1.19 Gb,由1,859个等位基因组成,N50长度为20.59 Mb,产生了40个假染色体,占组装基因组的97.27%,鉴定了21,208个蛋白编码基因。比较基因组分析表明,鹅和鸭大约在2842万年前分化,鹅经历了大规模的基因家族扩张和收缩。为了在五宗鹅、黄宗鹅、马冈鹅和狮头鹅等不同鹅种中鉴定与体重相关的遗传标记,进行了一项全基因组关联研究,获得了平均 1,520.6 Mb 的原始数据,检测到 44,858 个单核苷酸多态性(SNPs)。全基因组关联研究显示,6 个 SNP 与体重显著相关,25 个 SNP 潜在相关。明显相关的 SNPs 被注释为 LDLRAD4、GPR180 和 OR,富集于生长因子受体调控通路中:我们首次在染色体水平上组装了狮头鹅基因组,这将扩大鹅科动物的基因组资源,为适应和进化提供依据。与不同鹅种明显相关的候选基因可能有助于了解体重差异的内在机制。
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来源期刊
GigaScience
GigaScience MULTIDISCIPLINARY SCIENCES-
CiteScore
15.50
自引率
1.10%
发文量
119
审稿时长
1 weeks
期刊介绍: GigaScience seeks to transform data dissemination and utilization in the life and biomedical sciences. As an online open-access open-data journal, it specializes in publishing "big-data" studies encompassing various fields. Its scope includes not only "omic" type data and the fields of high-throughput biology currently serviced by large public repositories, but also the growing range of more difficult-to-access data, such as imaging, neuroscience, ecology, cohort data, systems biology and other new types of large-scale shareable data.
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