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在高通量植物表型组学时代重新构想作物驯化

Re-imagining crop domestication in the era of high throughput phenomics.

作者信息

Van Tassel David L, DeHaan Lee R, Diaz-Garcia Luis, Hershberger Jenna, Rubin Matthew J, Schlautman Brandon, Turner Kathryn, Miller Allison J

机构信息

The Land Institute, 2440 E Water Well Rd., Salina, KS, 67401, USA.

INIFAP, Pabellon de Arteaga, Aguascalientes, 20676, Mexico.

出版信息

Curr Opin Plant Biol. 2022 Feb;65:102150. doi: 10.1016/j.pbi.2021.102150. Epub 2021 Dec 6.

Abstract

De novo domestication is an exciting option for increasing species diversity and ecosystem service functionality of agricultural landscapes. Genomic selection (GS), the application of genomic markers to predict phenotypic traits in a breeding population, offers the possibility of rapid genetic improvement, making GS especially attractive for modifying traits of long-lived species. However, for some wild species just entering the domestication pipeline, especially those with large and complex genomes, a lack of funding and/or prior genome characterization, GS is often out of reach. High throughput phenomics has the potential to augment traditional pedigree selection, reduce costs and amplify impacts of genomic selection, and even create new predictive selection approaches independent of sequencing or pedigrees.

摘要

从头驯化是增加农业景观物种多样性和生态系统服务功能的一个令人兴奋的选择。基因组选择(GS),即应用基因组标记来预测育种群体中的表型性状,提供了快速遗传改良的可能性,这使得基因组选择对于改良长寿物种的性状特别有吸引力。然而,对于一些刚刚进入驯化流程的野生物种,尤其是那些基因组大且复杂、缺乏资金和/或先前基因组特征描述的物种,基因组选择往往难以实现。高通量表型组学有潜力增强传统的系谱选择,降低成本并扩大基因组选择的影响,甚至创造独立于测序或系谱的新预测选择方法。

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