Copy Number Variation in Chickens: A Review and Future Prospects.

Microarrays Pub Date : 2014-02-05 DOI:10.3390/microarrays3010024

Xiaofei Wang, Shannon Byers

引用次数: 21

Abstract

DNA sequence variations include nucleotide substitution, deletion, insertion, translocation and inversion. Deletion or insertion of a large DNA segment in the genome, referred to as copy number variation (CNV), has caught the attention of many researchers recently. It is believed that CNVs contribute significantly to genome variability, and thus contribute to phenotypic variability. In chickens, genome-wide surveys with array comparative genome hybridization (aCGH), SNP chip detection or whole genome sequencing have revealed a large number of CNVs. A large portion of chicken CNVs involves protein coding or regulatory sequences. A few CNVs have been demonstrated to be the determinant factors for single gene traits, such as late-feathering, pea-comb and dermal hyperpigmentation. The phenotypic effects of the majority of chicken CNVs are to be delineated.

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鸡的拷贝数变异:综述和未来展望。

DNA序列变异包括核苷酸置换、缺失、插入、易位和反转。基因组中大量DNA片段的缺失或插入，即拷贝数变异(copy number variation, CNV)，近年来引起了许多研究者的关注。人们认为，CNVs对基因组变异性有显著贡献，从而对表型变异性有贡献。在鸡中，使用阵列比较基因组杂交(aCGH)、SNP芯片检测或全基因组测序的全基因组调查已经发现了大量的CNVs。鸡CNVs的很大一部分涉及蛋白质编码或调控序列。一些CNVs已被证明是单基因性状的决定因素，如晚羽化、豌豆梳状和皮肤色素沉着。大多数鸡CNVs的表型效应有待描述。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Microarrays

自引率

0.00%

发文量

审稿时长

11 weeks

期刊介绍： High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.