DNA-Based Assessment of Genetic Diversity in Grassland Plant Species: Challenges, Approaches, and Applications

Author:

Loera-Sánchez Miguel,Studer Bruno,Kölliker RolandORCID

Abstract

Grasslands are wide-spread, multi-species ecosystems that provide many valuable services. Plant genetic diversity (i.e., the diversity within species) is closely linked to ecosystem functioning in grasslands and constitutes an important reservoir of genetic resources that can be used to breed improved cultivars of forage grass and legume species. Assessing genetic diversity in grassland plant species is demanding due to the large number of different species and the level of resolution needed. However, recent methodological advances could help in tackling this challenge at a larger scale. In this review, we outline the methods that can be used to measure genetic diversity in plants, highlighting their strengths and limitations for genetic diversity assessments of grassland plant species, with a special focus on forage plants. Such methods can be categorized into DNA fragment, hybridization array, and high-throughput sequencing (HTS) methods, and they differ in terms of resolution, throughput, and multiplexing potential. Special attention is given to HTS approaches (i.e., plastid genome skimming, whole genome re-sequencing, reduced representation libraries, sequence capture, and amplicon sequencing), because they enable unprecedented large-scale assessments of genetic diversity in non-model organisms with complex genomes, such as forage grasses and legumes. As no single method may be suited for all kinds of purposes, we also provide practical perspectives for genetic diversity analyses in forage breeding and genetic resource conservation efforts.

Publisher

MDPI AG

Subject

Agronomy and Crop Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3