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本文引用的文献

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VIGS technology: an attractive tool for functional genomics studies in legumes.病毒诱导基因沉默技术:豆科植物功能基因组学研究的一种有吸引力的工具。
Funct Plant Biol. 2013 Dec;40(12):1234-1248. doi: 10.1071/FP13089.
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A Search for Resistance in Peas to Mycosphaerella pinodes.豌豆对针叶球腔菌抗性的研究
Plant Dis. 1998 Feb;82(2):251-253. doi: 10.1094/PDIS.1998.82.2.251.
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Genomic Prediction in Pea: Effect of Marker Density and Training Population Size and Composition on Prediction Accuracy.豌豆中的基因组预测:标记密度、训练群体大小和组成对预测准确性的影响。
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4
Development of two major resources for pea genomics: the GenoPea 13.2K SNP Array and a high-density, high-resolution consensus genetic map.豌豆基因组学两大资源的开发:GenoPea 13.2K单核苷酸多态性阵列和高密度、高分辨率的整合遗传图谱。
Plant J. 2015 Dec;84(6):1257-73. doi: 10.1111/tpj.13070.
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Full-length de novo assembly of RNA-seq data in pea (Pisum sativum L.) provides a gene expression atlas and gives insights into root nodulation in this species.豌豆(Pisum sativum L.)RNA-seq数据的全长从头组装提供了一个基因表达图谱,并深入了解了该物种的根瘤形成。
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Validation of QTL for resistance to Aphanomyces euteiches in different pea genetic backgrounds using near-isogenic lines.利用近等基因系验证不同豌豆遗传背景下抗 Aphanomyces euteiches 的 QTL。
Theor Appl Genet. 2015 Nov;128(11):2273-88. doi: 10.1007/s00122-015-2583-0. Epub 2015 Jul 28.
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Characterization of proanthocyanidin metabolism in pea (Pisum sativum) seeds.豌豆(Pisum sativum)种子中原花青素代谢的表征
BMC Plant Biol. 2014 Sep 16;14:238. doi: 10.1186/s12870-014-0238-y.
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Genetic diversity and trait genomic prediction in a pea diversity panel.豌豆多样性群体中的遗传多样性与性状基因组预测
BMC Genomics. 2015 Feb 21;16(1):105. doi: 10.1186/s12864-015-1266-1.
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Gene-based SNP discovery and genetic mapping in pea.豌豆中基于基因的单核苷酸多态性发现与基因定位
Theor Appl Genet. 2014 Oct;127(10):2225-41. doi: 10.1007/s00122-014-2375-y. Epub 2014 Aug 15.

豌豆育种计划中的基因组工具:现状与展望

Genomic Tools in Pea Breeding Programs: Status and Perspectives.

作者信息

Tayeh Nadim, Aubert Grégoire, Pilet-Nayel Marie-Laure, Lejeune-Hénaut Isabelle, Warkentin Thomas D, Burstin Judith

机构信息

INRA, UMR1347 Agroécologie Dijon, France.

INRA, UMR1349 Institut de Génétique Environment et Protection des Plantes Le Rheu, France.

出版信息

Front Plant Sci. 2015 Nov 27;6:1037. doi: 10.3389/fpls.2015.01037. eCollection 2015.

DOI:10.3389/fpls.2015.01037
PMID:26640470
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4661580/
Abstract

Pea (Pisum sativum L.) is an annual cool-season legume and one of the oldest domesticated crops. Dry pea seeds contain 22-25% protein, complex starch and fiber constituents, and a rich array of vitamins, minerals, and phytochemicals which make them a valuable source for human consumption and livestock feed. Dry pea ranks third to common bean and chickpea as the most widely grown pulse in the world with more than 11 million tons produced in 2013. Pea breeding has achieved great success since the time of Mendel's experiments in the mid-1800s. However, several traits still require significant improvement for better yield stability in a larger growing area. Key breeding objectives in pea include improving biotic and abiotic stress resistance and enhancing yield components and seed quality. Taking advantage of the diversity present in the pea genepool, many mapping populations have been constructed in the last decades and efforts have been deployed to identify loci involved in the control of target traits and further introgress them into elite breeding materials. Pea now benefits from next-generation sequencing and high-throughput genotyping technologies that are paving the way for genome-wide association studies and genomic selection approaches. This review covers the significant development and deployment of genomic tools for pea breeding in recent years. Future prospects are discussed especially in light of current progress toward deciphering the pea genome.

摘要

豌豆(Pisum sativum L.)是一种一年生冷季豆类,也是最古老的驯化作物之一。干豌豆种子含有22%-25%的蛋白质、复合淀粉和纤维成分,以及丰富的维生素、矿物质和植物化学物质,这使其成为人类食用和牲畜饲料的宝贵来源。干豌豆是世界上种植最广泛的豆类之一,仅次于菜豆和鹰嘴豆,2013年的产量超过1100万吨。自19世纪中叶孟德尔进行实验以来,豌豆育种取得了巨大成功。然而,为了在更大的种植区域实现更好的产量稳定性,仍有几个性状需要显著改良。豌豆育种的关键目标包括提高对生物和非生物胁迫的抗性,以及提高产量构成要素和种子质量。利用豌豆基因库中的多样性,在过去几十年中构建了许多作图群体,并致力于鉴定控制目标性状的基因座,并将其进一步导入优良育种材料中。豌豆现在受益于下一代测序和高通量基因分型技术,这些技术为全基因组关联研究和基因组选择方法铺平了道路。本文综述了近年来豌豆育种基因组工具的重大发展和应用。特别根据目前在解读豌豆基因组方面的进展讨论了未来前景。