Impact Factor 4.106 | CiteScore 4.47
More on impact ›

Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Plant Sci. | doi: 10.3389/fpls.2019.01257

Identification of single nucleotide polymorphism in Red clover (Trifolium pratense L.) using targeted genomic amplicon sequencing and RNA-seq

 Wenli Li1*, Heathcliffe Riday1, Christina Riehle2,  Andrea Edwards3 and  Randy Dinkins4
  • 1U.S. Dairy Forage Research Center, (USDA-ARS), United States
  • 2Department of Psychiatry, University of Wisconsin-Madison, United States
  • 3Department of Integrative Biology, University of Wisconsin, United States
  • 4Forage-animal Production Research (USDA-ARS), United States

Red clover (Trifolium pratense L.) is a diploid, naturally cross-pollinated, cool-season species. As a perennial forage legume, red clover is mostly cultivated in temperate regions worldwide. Being a non-model crop species, genomic resources for red clover have been underdeveloped. Thus far, genomic analysis used in red clover has mainly relied on simple sequence repeat (SSR) markers. However, SSR markers are sparse in the genome and it is often difficult to unambiguously map them using short reads generated by next generation sequencing technology. Single nucleotide polymorphisms (SNPs) have been successfully applied in genomics assisted breeding in several agriculturally important species. Due to increasing importance of legumes in forage production, there is a clear need to develop SNP based markers for red clover that can be applied in breeding applications. In this study, we first developed an analytical pipeline that can confidently identify SNPs in a set of 72 different red clover genotypes using sequences generated by targeted amplicon sequencing. Then, with the same filtering stringency used in this pipeline, we used sequences from publicly available RNA-seq data to identify confident SNPs in different red clover varieties. Using this strategy, we have identified a total of 67,975 SNPs across red clover varieties. Among these, 28% (19,116) of them are missense mutations. Using Medicago truncatula as the reference, we annotated the regions affected by these missense mutations. We identified 2,909 protein coding regions with missense mutations. Pathway analysis of these coding regions indicated several biological processes impacted by these mutations. Specifically, three domains (homeobox domain, pentatricopeptide repeat containing plant-like, and regulator of Vps4 activity) were identified with five or more missense SNPs. These domain might also be a functional contributor in the molecular mechanisms of self-incompatibility in red clover. Future in-depth sequence diversity analysis of these three genes may yield valuable insights into the molecular mechanism involved in self-incompatibility in red clover.

Keywords: Red clover (Trifolium pratense L.), Single-nucleotide polymorphism, Targeted amplicon sequencing, RNA-Seq, targeted sequencing

Received: 03 May 2019; Accepted: 10 Sep 2019.

Copyright: © 2019 Li, Riday, Riehle, Edwards and Dinkins. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Wenli Li, U.S. Dairy Forage Research Center, (USDA-ARS), Madison, United States,