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大海捞针:利用少量单核苷酸多态性鉴别墨西哥玉米地方品种

Finding a Needle in a Haystack: Distinguishing Mexican Maize Landraces Using a Small Number of SNPs.

作者信息

Caldu-Primo Jose L, Mastretta-Yanes Alicia, Wegier Ana, Piñero Daniel

机构信息

Laboratorio de Genética de la Conservación, Jardín Botánico, Instituto de Biología, Universidad Nacional Autónoma de México, Ciudad UniversitariaCoyoacán, Mexico.

CONACYT/CONABIO, Comisión Nacional para el Conocimiento y Uso de la BiodiversidadTlalpan, Mexico.

出版信息

Front Genet. 2017 Apr 18;8:45. doi: 10.3389/fgene.2017.00045. eCollection 2017.

Abstract

In Mexico's territory, the center of origin and domestication of maize (), there is a large phenotypic diversity of this crop. This diversity has been classified into "landraces." Previous studies have reported that genomic variation in Mexican maize is better explained by environmental factors, particularly those related with altitude, than by landrace. Still, landraces are extensively used by agronomists, who recognize them as stable and discriminatory categories for the classification of samples. In order to investigate the genomic foundation of maize landraces, we analyzed genomic data (35,909 SNPs from Illumina MaizeSNP50 BeadChip) obtained from 50 samples representing five maize landraces (Comiteco, Conejo, Tehua, Zapalote Grande, and Zapalote Chico), and searched for markers suitable for landrace assignment. Landrace clusters could not be identified taking all the genomic information, but they become manifest taking only a subset of SNPs with high among landraces. Discriminant analysis of principal components was conducted to classify samples using SNP data. Two classification analyses were done, first classifying samples by landrace and then by altitude category. Through this classification method, we identified 20 landrace-informative SNPs and 14 altitude-informative SNPs, with only 6 SNPs in common for both analyses. These results show that Mexican maize phenotypic diversity can be classified in landraces using a small number of genomic markers, given the fact that landrace genomic diversity is influenced by environmental factors as well as artificial selection due to bio-cultural practices.

摘要

在玉米的起源和驯化中心墨西哥境内,这种作物存在着丰富的表型多样性。这种多样性已被归类为“地方品种”。先前的研究报告称,墨西哥玉米的基因组变异受环境因素,尤其是与海拔相关的因素影响,比受地方品种的影响更大。尽管如此,农学家们仍广泛使用地方品种,他们认为地方品种是对样本进行分类的稳定且具有区分性的类别。为了探究玉米地方品种的基因组基础,我们分析了从代表五个玉米地方品种(科米特科、科内霍、特瓦、大萨帕洛特和小萨帕洛特)的50个样本中获得的基因组数据(来自Illumina MaizeSNP50 BeadChip的35,909个单核苷酸多态性),并寻找适合进行地方品种分类的标记。考虑所有基因组信息时无法识别出地方品种聚类,但仅考虑地方品种间具有高 的单核苷酸多态性子集时,聚类就变得明显了。利用单核苷酸多态性数据进行主成分判别分析以对样本进行分类。进行了两项分类分析,首先按地方品种对样本进行分类,然后按海拔类别进行分类。通过这种分类方法,我们鉴定出20个地方品种信息性单核苷酸多态性和14个海拔信息性单核苷酸多态性,两项分析仅有6个单核苷酸多态性相同。这些结果表明,鉴于地方品种的基因组多样性受环境因素以及生物文化实践导致的人工选择影响,使用少量基因组标记就可以将墨西哥玉米的表型多样性分类为地方品种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da7d/5394175/96405838ba07/fgene-08-00045-g0001.jpg

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