| Literature DB >> 30181764 |
Craig B Anderson1, Benjamin K Franzmayr1,2, Soon Won Hong1, Anna C Larking1, Tracey C van Stijn3, Rachel Tan1, Roger Moraga1, Marty J Faville1, Andrew G Griffiths1.
Abstract
BACKGROUND: The recent development of next-generation sequencing DNA marker technologies, such as genotyping-by-sequencing (GBS), generates thousands of informative single nucleotide polymorphism markers in almost any species, regardless of genomic resources. This enables poorly resourced or "orphan" crops/species access to high-density, high-throughput marker platforms which have revolutionised population genetics studies and plant breeding. DNA quality underpins success of GBS methods as the DNA must be amenable to restriction enzyme digestion and sequencing. A barrier to implementing GBS technologies is access to inexpensive, high-throughput extraction methods that yield sequencing-quality genomic DNA (gDNA) from plants. Several high-throughput DNA extraction methods are available, but typically provide low yield or poor quality gDNA, or are costly (US$6-$9/sample) for consumables.Entities:
Keywords: Arabidopsis; Festuca; Freeze-dried; High-throughput; Lolium; Malus; Medicago; Next-generation sequencing; Oryza; Secale; Silica gel-dried; Trifolium
Year: 2018 PMID: 30181764 PMCID: PMC6114050 DOI: 10.1186/s13007-018-0336-1
Source DB: PubMed Journal: Plant Methods ISSN: 1746-4811 Impact factor: 4.993
Summary of genomic DNA extractions from a range of species and tissue preparations
| Species | Tissue1 | Yield range2 (μg) | Yield mean (μg) | A260/280 absorbance ratio | Sequenced3 |
|---|---|---|---|---|---|
| White clover ( | Fresh | 1–3 | 2.5 | 2.16 | GBS |
| FD | 1–6 | 2.7 | 2.17 | GBS | |
| SG | 2–6 | 4.1 | 1.97 | – | |
| Western clover ( | Fresh | 1.5–13 | 2.1 | 2.10 | GBS |
| FD | 1.4 | 1.4 | 2.09 | GBS | |
| SG | 1.2 | 1.2 | 2.09 | – | |
| Pale clover ( | Fresh | 3.5 | 3.5 | 2.08 | – |
| FD | 1–6 | 2.1 | 1.90 | GBS | |
| SG | 2.4 | 2.4 | 2.11 | – | |
| Red clover ( | Fresh | 1–3 | 1.5 | 1.85 | GBS |
| FD | 4.8 | 4.8 | 2.12 | – | |
| SG | 7.7 | 7.7 | 2.11 | – | |
| Sub clover ( | Fresh | 1.9 | 1.9 | 1.87 | GBS |
| FD | 1–6 | 1.7 | 2.00 | – | |
| SG | 1.8 | 1.8 | 2.16 | – | |
|
| Fresh | 2–8 | 2.3 | 1.93 | GBS |
| FD | 1.2 | 1.2 | 2.10 | PacBio | |
| SG | 1.2 | 1.2 | 2.12 | – | |
| Alfalfa/Lucerne ( | Fresh | 1.3 | 1.3 | 2.12 | – |
| FD | 2–7 | 4.0 | 2.03 | GBS | |
| SG | 1.7 | 1.7 | 2.04 | – | |
| Perennial ryegrass ( | Fresh | 2–5 | 3.4 | 2.07 | GBS |
| FD | 2.3 | 2.3 | 2.04 | PacBio | |
| SG | 3.5 | 3.5 | 2.07 | – | |
| Tall fescue ( | Fresh | 1–9 | 3.8 | 1.91 | GBS |
| FD | 4.4 | 4.4 | 2.07 | – | |
| SG | 4.5 | 4.5 | 2.07 | – | |
| Rye ( | Fresh | 2–7 | 3.8 | 1.84 | GBS |
| FD | – | – | – | – | |
| SG | – | – | – | – | |
| Apple ( | Fresh | 1–2 | 1.2 | 2.13 | – |
| FD | 1–2 | 1.1 | 1.99 | – | |
| SG | 1–2 | 1.4 | 2.14 | – | |
| Rice ( | Fresh | 2–4 | 3.2 | 2.06 | – |
| FD | 1.4 | 1.4 | 2.11 | – | |
| SG | 2.3 | 2.3 | 2.10 | ||
| Thale cress ( | Fresh | 0.6 | 0.6 | 2.15 | – |
| FD | 0.5 | 0.5 | 2.13 | – | |
| SG | 0.2 | 0.2 | 2.21 | – |
1FD freeze-dried; SD silica gel-dried
2A single number indicates a single extraction was quantified from that species and tissue
3GBS used routinely for genotyping-by-sequencing and passes FastQC [9] sequencing quality parameters. PacBio used to generate quality PacBio long-read sequencing data
Grasses, cereal and rice samples were pseudostem, whereas all other plant samples were leaf lamina
Fig. 1Genomic DNA (gDNA) extracted and restriction endonuclease-digested from forage legumes and grasses, and horticultural species. Samples of gDNA a extracted from freeze-dried leaf tissue or grass pseudostem using the high-throughput protocol and b digested with HindIII restriction endonuclease were resolved and visualised by electrophoresis in an agarose lithium borate buffer (0.8% w/v) gel containing 25 μg ethidium bromide. The samples were, in order: (1) 1 kb Plus size ladder (www.thermofisher.com); (2) Trifolium repens (white clover); (3) T. occidentale (western clover); (4) T. pallescens (pale clover); (5) T. pratense (red clover); (6) T. subterraneum (subterranean clover); (7) T. uniflorum (8) Medicago sativa (alfalfa/lucerne); (9) Lolium perenne (perennial ryegrass); (10) Festuca arundinacea (tall fescue); (11) Secale cereale (rye); (12) Malus pumila (apple); (13) λ DNA standard, and (14) 1 kb Plus size ladder. The λ DNA standard was digested with HindIII in (B)
Fig. 2Genomic DNA (gDNA) extracted from fresh, freeze-dried, and silica gel-dried plant tissue. Samples of gDNA extracted from a clover leaf tissue or grass pseudostem b rice pseudostem and c Arabidopsis thaliana leaf tissue using the high-throughput protocol were resolved and visualised by electrophoresis in an agarose lithium borate buffer (0.8% w/v) gel containing 25 μg ethidium bromide. F fresh, Fd freeze-dried, Sd silica gel-dried; Tr Trifolium repens (white clover); Tp T. pratense (red clover); Lp Lolium perenne (perennial ryegrass); Fa Festuca arundinacea (tall fescue); Os Oryza sativa (rice); At Arabidopsis thaliana; λ λ DNA standard. The samples were flanked by 1 Kb Plus size ladders (www.thermofisher.com)
Fig. 3A typical DNA extraction from freeze-dried and fresh tissue using the 96-well plate method. Genomic DNA was extracted from 96 individuals of a Trifolium repens (white clover; freeze-dried leaf) and b Lolium perenne (perennial ryegrass; fresh pseudostem) using the 96-well plate protocols, and resolved and visualised by electrophoresis on an agarose lithium borate buffer (0.8% w/v) gel containing 25 μg ethidium bromide. The samples were flanked at either end by 1 Kb Plus size ladders (www.thermofisher.com). One T. repens individual had a poor DNA yield (top row, ninth lane from the right) and was subsequently re-extracted using the Individual Tube freeze-dried tissue protocol. These DNA samples have been used for developing genotyping-by-sequencing libraries and yielded high-quality sequence data
Fig. 4Influence of genomic DNA (gDNA) extraction protocols on sequencing quality. We assessed and modified methodologies to establish a high-throughput protocol to extract gDNA from white clover, a species prone to yielding degraded DNA. Chemistry based on a CTAB protocol [6] was modified for gDNA extraction using 96-well plates (a). Adaptation of the Whitlock method [2] to a 96-well plate protocol (b), and development of a streamlined inexpensive protocol described in this paper (c). In these examples, gDNA was extracted from freeze-dried leaves and aliquots (2 μL from 100 μL gDNA extraction/elution) were resolved and visualised by electrophoresis in an agarose lithium borate buffer (0.8% w/v) gel containing 25 μg ethidium bromide. The samples were flanked at either end by 1 kb Plus size ladders (www.thermofisher.com). Sequence quality of the extracted gDNA was assessed by producing a genotyping-by-sequencing (GBS) library [1] comprising 95 individuals from each of the white clover gDNA extractions shown above (a–c). The GBS libraries were single-end sequenced (100 bp) on a single lane each of an Illumina 2500 Hi-Seq sequencer. Sequencing quality assessment using FastQC version 0.10.1 [9] for GBS libraries made from the gDNA shown a–c is represented in graphs describing quality across all bases from every sequence read at each position (d–f, respectively). Sequence quality is based on phred scores [10], an exponential scale where, for example, 20 = one incorrect sequence base-call in 100, and 30 = one incorrect base-call in 1000. The y-axis shows the quality scores, and the higher the score the greater confidence in the base-calls at that position. The background of the graph divides the y-axis into very good quality calls (green), reasonable quality (orange), and poor quality (red)