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For: Edwards D, Zander M, Dalton-Morgan J, Batley J. New technologies for ultrahigh-throughput genotyping in plant taxonomy. Methods Mol Biol 2014;1115:151-75. [PMID: 24415474 DOI: 10.1007/978-1-62703-767-9_8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]

For:	Edwards D, Zander M, Dalton-Morgan J, Batley J. New technologies for ultrahigh-throughput genotyping in plant taxonomy. Methods Mol Biol 2014;1115:151-75. [PMID: 24415474 DOI: 10.1007/978-1-62703-767-9_8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]

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Cited by Other Article(s)

Hyun DY, Sebastin R, Lee GA, Lee KJ, Kim SH, Yoo E, Lee S, Kang MJ, Lee SB, Jang I, Ro NY, Cho GT. Genome-Wide SNP Markers for Genotypic and Phenotypic Differentiation of Melon (Cucumis melo L.) Varieties Using Genotyping-by-Sequencing. Int J Mol Sci 2021;22:ijms22136722. [PMID: 34201603 PMCID: PMC8268568 DOI: 10.3390/ijms22136722] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 06/16/2021] [Accepted: 06/16/2021] [Indexed: 12/29/2022] Open

Abstract

Melon (Cucumis melo L.) is an economically important horticultural crop with abundant morphological and genetic variability. Complex genetic variations exist even among melon varieties and remain unclear to date. Therefore, unraveling the genetic variability among the three different melon varieties, muskmelon (C. melo subsp. melo), makuwa (C. melo L. var. makuwa), and cantaloupes (C. melo subsp. melo var. cantalupensis), could provide a basis for evolutionary research. In this study, we attempted a systematic approach with genotyping-by-sequencing (GBS)-derived single nucleotide polymorphisms (SNPs) to reveal the genetic structure and diversity, haplotype differences, and marker-based varieties differentiation. A total of 6406 GBS-derived SNPs were selected for the diversity analysis, in which the muskmelon varieties showed higher heterozygote SNPs. Linkage disequilibrium (LD) decay varied significantly among the three melon varieties, in which more rapid LD decay was observed in muskmelon (r² = 0.25) varieties. The Bayesian phylogenetic tree provided the intraspecific relationships among the three melon varieties that formed, as expected, individual clusters exhibiting the greatest genetic distance based on the posterior probability. The haplotype analysis also supported the phylogeny result by generating three major networks for 48 haplotypes. Further investigation for varieties discrimination allowed us to detect a total of 52 SNP markers that discriminated muskmelon from makuwa varieties, of which two SNPs were converted into cleaved amplified polymorphic sequence markers for practical use. In addition to these markers, the genome-wide association study identified two SNPs located in the genes on chromosome 6, which were significantly associated with the phenotypic traits of melon seed. This study demonstrated that a systematic approach using GBS-derived SNPs could serve to efficiently classify and manage the melon varieties in the genebank.

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Affiliation(s)

Do Yoon Hyun National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA), Jeonju 54874, Korea; (R.S.); (G.-A.L.); (K.J.L.); (S.-H.K.); (E.Y.); (S.L.); (M.-J.K.); (S.B.L.); (I.J.); (N.-Y.R.); (G.-T.C.) Correspondence:
Raveendar Sebastin National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA), Jeonju 54874, Korea; (R.S.); (G.-A.L.); (K.J.L.); (S.-H.K.); (E.Y.); (S.L.); (M.-J.K.); (S.B.L.); (I.J.); (N.-Y.R.); (G.-T.C.)
Gi-An Lee National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA), Jeonju 54874, Korea; (R.S.); (G.-A.L.); (K.J.L.); (S.-H.K.); (E.Y.); (S.L.); (M.-J.K.); (S.B.L.); (I.J.); (N.-Y.R.); (G.-T.C.)
Kyung Jun Lee National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA), Jeonju 54874, Korea; (R.S.); (G.-A.L.); (K.J.L.); (S.-H.K.); (E.Y.); (S.L.); (M.-J.K.); (S.B.L.); (I.J.); (N.-Y.R.); (G.-T.C.) Honam National Institute of Biological Resources, Mokpo-si 58762, Korea
Seong-Hoon Kim National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA), Jeonju 54874, Korea; (R.S.); (G.-A.L.); (K.J.L.); (S.-H.K.); (E.Y.); (S.L.); (M.-J.K.); (S.B.L.); (I.J.); (N.-Y.R.); (G.-T.C.)
Eunae Yoo National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA), Jeonju 54874, Korea; (R.S.); (G.-A.L.); (K.J.L.); (S.-H.K.); (E.Y.); (S.L.); (M.-J.K.); (S.B.L.); (I.J.); (N.-Y.R.); (G.-T.C.)
Sookyeong Lee National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA), Jeonju 54874, Korea; (R.S.); (G.-A.L.); (K.J.L.); (S.-H.K.); (E.Y.); (S.L.); (M.-J.K.); (S.B.L.); (I.J.); (N.-Y.R.); (G.-T.C.)
Man-Jung Kang National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA), Jeonju 54874, Korea; (R.S.); (G.-A.L.); (K.J.L.); (S.-H.K.); (E.Y.); (S.L.); (M.-J.K.); (S.B.L.); (I.J.); (N.-Y.R.); (G.-T.C.)
Seung Bum Lee National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA), Jeonju 54874, Korea; (R.S.); (G.-A.L.); (K.J.L.); (S.-H.K.); (E.Y.); (S.L.); (M.-J.K.); (S.B.L.); (I.J.); (N.-Y.R.); (G.-T.C.)
Ik Jang National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA), Jeonju 54874, Korea; (R.S.); (G.-A.L.); (K.J.L.); (S.-H.K.); (E.Y.); (S.L.); (M.-J.K.); (S.B.L.); (I.J.); (N.-Y.R.); (G.-T.C.)
Na-Young Ro National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA), Jeonju 54874, Korea; (R.S.); (G.-A.L.); (K.J.L.); (S.-H.K.); (E.Y.); (S.L.); (M.-J.K.); (S.B.L.); (I.J.); (N.-Y.R.); (G.-T.C.)
Gyu-Taek Cho National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA), Jeonju 54874, Korea; (R.S.); (G.-A.L.); (K.J.L.); (S.-H.K.); (E.Y.); (S.L.); (M.-J.K.); (S.B.L.); (I.J.); (N.-Y.R.); (G.-T.C.)

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Badenes ML, Fernández I Martí A, Ríos G, Rubio-Cabetas MJ. Application of Genomic Technologies to the Breeding of Trees. Front Genet 2016;7:198. [PMID: 27895664 PMCID: PMC5109026 DOI: 10.3389/fgene.2016.00198] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Accepted: 10/31/2016] [Indexed: 12/22/2022] Open

Abstract

The recent introduction of next generation sequencing (NGS) technologies represents a major revolution in providing new tools for identifying the genes and/or genomic intervals controlling important traits for selection in breeding programs. In perennial fruit trees with long generation times and large sizes of adult plants, the impact of these techniques is even more important. High-throughput DNA sequencing technologies have provided complete annotated sequences in many important tree species. Most of the high-throughput genotyping platforms described are being used for studies of genetic diversity and population structure. Dissection of complex traits became possible through the availability of genome sequences along with phenotypic variation data, which allow to elucidate the causative genetic differences that give rise to observed phenotypic variation. Association mapping facilitates the association between genetic markers and phenotype in unstructured and complex populations, identifying molecular markers for assisted selection and breeding. Also, genomic data provide in silico identification and characterization of genes and gene families related to important traits, enabling new tools for molecular marker assisted selection in tree breeding. Deep sequencing of transcriptomes is also a powerful tool for the analysis of precise expression levels of each gene in a sample. It consists in quantifying short cDNA reads, obtained by NGS technologies, in order to compare the entire transcriptomes between genotypes and environmental conditions. The miRNAs are non-coding short RNAs involved in the regulation of different physiological processes, which can be identified by high-throughput sequencing of RNA libraries obtained by reverse transcription of purified short RNAs, and by in silico comparison with known miRNAs from other species. All together, NGS techniques and their applications have increased the resources for plant breeding in tree species, closing the former gap of genetic tools between trees and annual species.

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