Literature DB >> 28924514

Isolation and characterization of microsatellite loci from Arthropodium cirratum (Asparagaceae).

Mariana Bulgarella1, Patrick J Biggs2, Peter J de Lange3, Lara D Shepherd1.   

Abstract

PREMISE OF THE STUDY: Microsatellite markers were developed for Arthropodium cirratum (Asparagaceae) to study population genetic structure and translocation of this species. These markers were tested for cross-amplification in two other Arthropodium species. METHODS AND
RESULTS: Sixteen microsatellite markers were developed from a genomic library and tested in three populations of A. cirratum. The loci exhibited one to five alleles per locus, with private alleles present in each of the populations. Cross-amplification tests in the two other New Zealand Arthropodium species revealed that many of the loci amplify and demonstrate polymorphism in A. bifurcatum.
CONCLUSIONS: These markers will be useful for determining genetic structure in A. cirratum and for determining the origins of translocated populations of this species.

Entities:  

Keywords:  Arthropodium; Asparagaceae; nuclear microsatellites; rengarenga; translocation

Year:  2017        PMID: 28924514      PMCID: PMC5584818          DOI: 10.3732/apps.1700041

Source DB:  PubMed          Journal:  Appl Plant Sci        ISSN: 2168-0450            Impact factor:   1.936


Arthropodium R. Br. (Asparagaceae) is a genus of nine species (Heenan et al., 2004) of perennial, lily-like herbs found in Australia, New Zealand, New Caledonia, New Guinea, and Madagascar. Within New Zealand, there are three endemic species: A. candidum Raoul (small renga lily), A. cirratum (G. Forst.) R. Br., and A. bifurcatum Heenan, A. D. Mitch. & de Lange (the latter two species both have the common names rengarenga and New Zealand rock lily). Arthropodium cirratum was cultivated as a food source for Māori and translocated beyond its natural range (Shepherd et al., 2016). A recent phylogeographic study of A. cirratum using chloroplast sequences revealed a very high level of structuring, with many populations fixed for unique chloroplast haplotypes (Shepherd et al., 2016). Microsatellite markers will be useful for testing whether the nuclear genome demonstrates the high genetic structuring found for the chloroplast genome (Shepherd et al., 2016). They will also aid in examining the origins of the populations that derive from translocation by Māori and testing proposed hybridization between A. cirratum and A. bifurcatum (Heenan et al., 2004).

METHODS AND RESULTS

We extracted DNA from leaf tissue of four A. cirratum individuals (Appendix 1), each from different populations, using a modified cetyltrimethylammonium bromide (CTAB) method (steps 1, 3–7 from Table 1 in Shepherd and McLay, 2011). The extracted DNA was pooled and amplified using a REPLI-g kit (QIAGEN, Hilden, Germany) following the manufacturer’s protocol to generate sufficient template for library construction. An Illumina paired-end genomic library was constructed using the TruSeq Nano DNA Library Prep Kit (Illumina, San Diego, California, USA) following the manufacturer’s instructions. The library was sequenced in a single lane using the Illumina MiSeq platform to generate 2 × 250-bp reads at the Massey Genome Service (Massey University, Palmerston North, New Zealand).
Table 1.

Primer sequences and thermal cycling conditions for 16 microsatellite loci developed for Arthropodium cirratum.

LocusPrimer sequences (5′–3′)Repeat motifAllele size range (bp)Ta (°C)Fluorescent dye (Pooling group)GenBank accession no.
ArtCir1F: AAAACACAGCAGACAAACACA(CCTC)7351–35952FAM (3)KY907147
R: ATTGTACTCCGCTCATTGTTCC
ArtCir4F: CAGTTCGCTAAAGGACGGAG(TATT)7207–21955FAM (3)KY907148
R: TAATTGGACCTCTCTCATCGGT
ArtCir7F: AATTGCCTTCAACGTCTTTAGC(AATA)7200–21555FAM (1)KY907149
R: CGAATACGAACCCCATATTGAC
ArtCir9F: GCCGAAGCTGACAATGAAA(TCTT)7255–26755FAM (2)KY907150
R: CCCACATAATCAAAACCTCCAT
ArtCir12F: CCTACCTGCATCTTGACCTTGT(TTTG)8360–37255NED (3)KY907151
R: GTTGAGAGAATGACACTTGGGC
ArtCir13F: TTCGATAGAGAGTGGTGACGAG(TATT)7260–27255HEX (1)KY907152
R: AAATCAATCCCCTCCGTTAGAT
ArtCir18F: CTTGTAAAGTCAAGCTCATCGGT(TAAA)11318–33655HEX (1)KY907153
R: ACCGGACATCCAACAATTAGAA
ArtCir22F: ACATCTTTTCATACACGGGCTT(ATAA)9382–40552PET (1)KY907154
R: CTCTCAAGGATCACAAGGAACC
ArtCir23F: CGAAAACGACTAACGTGAAGAA(ATGT)7344–36055FAM (2)KY907155
R: TATGTGTTGGTTGAAGGAGAGC
ArtCir26F: GGGCCACTCATATTTCATTTTC(CATA)7380–40152NED (2)KY907156
R: GTAGGTGCTATCCTCCCTTCCT
ArtCir32F: CCGTACCTTCTCTCTGTTTGTGT(TAAA)7367–38556NED (1)KY907157
R: ACCCAACCCTCATTTTATCTCC
ArtCir38F: AGCTATGCCCCTCTTTTAGTCA(ATTT)7274–28955HEX (2)KY907158
R: ACCAAGATTGCTCCATCAAAGT
ArtCir43F: TAAAGGAGGAAATGGGTAGGT(TA)18388–40955PET (2)KY907159
R: TCTTCTACAACAACACCGAGAA
ArtCir48F: TTCGCAAAGGATATTAGGTGTG(AT)20305–40955PET (2)KY907160
R: TACGAGAACAAGGGAGGGATTA
ArtCir50F: GGCTAATTTTAATGTGCTTGGC(AT)18358–40355NED (3)KY907161
R: ATGGATGAGAGAGAAAGGACCA
ArtCir59F: CTATCTCACCATATCGCGTGC(AT)18290–30555PET (1)KY907162
R: TCGTTTCAAGACAGAAGGCAT

Note: Ta = annealing temperature.

We assembled the resulting 10,955,497 paired sequence reads using MEGAHIT (Li et al., 2015), as this software required sequence reads of the same length. A set of four assembly parameters was tried with the reads, and the resulting contigs were merged to make a set of longest unique contigs. This resulted in 1.589 Gb of assembled sequence, comprising 2,618,361 contigs, with a maximum length of 18,007 bp, average GC content of 34.74%, and an N50 of 1513 bp when analyzed using QUAST (Gurevich et al., 2013). The SSR_pipeline (Miller et al., 2013) was used to detect di- and tetranucleotide repeats on this contig set with a minimum of 250-bp flanking sequence on each side to allow for PCR primer design. We used WebSat (Martins et al., 2009) to develop primers for 33 loci, which had at least eight tetra- or 15 dinucleotide repeat units. An M13 tag (TGTAAAACGACGGCCAGT) was added to the 5′ end of the forward primer of each locus. These primer pairs were tested on five samples, which included three samples of A. cirratum and one sample each of A. candidum and A. bifurcatum. Each locus was initially amplified individually in 10-μL PCR reactions that contained 1 μL of diluted template DNA, 0.02 μM forward primer, 0.8 μM reverse primer, 0.8 μM M13 primer (labeled with FAM, NED, PET, or HEX), 1× MyTaq mix (Bioline, London, United Kingdom), and 0.1 M betaine. PCR thermocycling conditions were an initial denaturation of 94°C for 5 min; 30 cycles of 94°C for 30 s, 55°C for 45 s, and 72°C for 45 s; followed by eight cycles of 94°C for 30 s, 53°C for 45 s, and 72°C for 45 s; and a final extension at 72°C for 15 min. Of the 33 primer pairs tested, 16 amplified in at least two species and were polymorphic. These 16 loci were subsequently screened using 63 samples from three populations of A. cirratum and additional samples of A. bifurcatum and A. candidum (Appendix 1). For this trial, some loci were coamplified in the same PCR reaction (ArtCir13 with ArtCir18, ArtCir9 with ArtCir23, and ArtCir43 with ArtCir48). For these combined PCR reactions, 1 μL of diluted template DNA was combined with 0.02 μM each forward primer, 0.8 μM each reverse primer, 1.2 μM M13 primer (labeled with FAM, NED, PET, or HEX), 1× MyTaq mix (Bioline), and 0.075 M betaine. The PCR annealing temperatures are reported in Table 1. Genotyping was performed on an ABI 3130xl Genetic Analyzer (Applied Biosystems, Foster City, California, USA) at the Massey Genome Service. Alleles were sized using the internal size standard GeneScan 500 LIZ (Applied Biosystems) and scored using Geneious version 10.0.2 (Biomatters Ltd., Auckland, New Zealand). Primer sequences and thermal cycling conditions for 16 microsatellite loci developed for Arthropodium cirratum. Note: Ta = annealing temperature. The number of alleles and observed and expected heterozygosities for the three A. cirratum populations were determined using GenAlEx 6.5 (Peakall and Smouse, 2012). Observed and expected heterozygosities ranged from 0.000 to 1.000 and 0.044 to 0.544, respectively (Table 2). Alleles per locus ranged from one to five in A. cirratum (mean = 3). All three of the A. cirratum populations exhibited private alleles, and 14 of the loci had private alleles in at least one of the three populations. Tests of pairwise linkage disequilibrium were performed using GENEPOP 4.2 (Rousset, 2008). No significant linkage disequilibrium was detected among paired loci comparisons after sequential Bonferroni correction (Holm, 1979). Deviation from Hardy–Weinberg equilibrium was tested for each locus with GenAlEx 6.5. Following sequential Bonferroni correction, significant deviation from Hardy–Weinberg equilibrium was observed for five loci (Table 2). This is unsurprising for a species with delayed autonomous self-pollination (Zhou et al., 2012). ArtCir18 showed fixed heterozygote genotypes for all the screened individuals in the Maunganui Bluff and Hick’s Bay populations, but each population was fixed for different alleles.
Table 2.

Genetic diversity measures for three populations of Arthropodium cirratum.

LocusMaunganui Bluff (N = 22)Matapouri Bay (N = 20)Hick’s Bay (N = 21)Total (N = 63)
AHoHeAHoHeAHoHeAT
ArtCir110.0000.00020.1000.26110.0000.0002
ArtCir410.0000.00020.1000.455*20.0480.0463
ArtCir710.0000.00030.1000.26110.0000.0004
ArtCir910.0000.00010.0000.00010.0000.0001
ArtCir1210.0000.00010.0000.00010.0000.0002
ArtCir1310.0000.00010.0000.00020.2860.4443
ArtCir1821.0000.500*20.8000.480*21.0000.500*4
ArtCir2210.0000.00020.0000.495*10.0000.0002
ArtCir2310.0000.00020.1000.320*20.1430.2784
ArtCir2610.0000.00020.1000.18020.0000.1725
ArtCir3210.0000.00010.0000.00020.0950.0913
ArtCir3810.0000.00020.8500.489*30.9520.544*5
ArtCir4310.0000.00010.0000.00010.0000.0002
ArtCir4810.0000.00020.1000.09510.0000.0003
ArtCir5010.0000.00010.0000.00020.8100.4952
ArtCir5920.0450.04420.1500.13910.0000.0003

Note: A = number of alleles; AT = total number of alleles; He = expected heterozygosity; Ho = observed heterozygosity; N = number of samples.

Locality and voucher information are provided in Appendix 1.

Significant departure from Hardy–Weinberg equilibrium (HWE) at P < 0.05 following sequential Bonferroni correction.

Genetic diversity measures for three populations of Arthropodium cirratum. Note: A = number of alleles; AT = total number of alleles; He = expected heterozygosity; Ho = observed heterozygosity; N = number of samples. Locality and voucher information are provided in Appendix 1. Significant departure from Hardy–Weinberg equilibrium (HWE) at P < 0.05 following sequential Bonferroni correction. All 16 loci amplified in the closely related species A. bifurcatum, and 12 of these were polymorphic (Table 3). Eight loci amplified in the more distantly related A. candidum, but none of the three samples screened were polymorphic at these loci.
Table 3.

Cross-amplification of 16 Arthropodium cirratum microsatellites in A. bifurcatum and A. candidum, showing fragment sizes of each allele.

LocusA. bifurcatum (N = 6)A. candidum (N = 3)A. cirratum (N = 63)AT (N = 72)
ArtCir1351, 355, 359 363351, 3594
ArtCir4207, 215, 219219208, 211, 2195
ArtCir7200, 208, 212189200, 212, 213, 2156
ArtCir9267, 2562672553
ArtCir12360, 363, 372368363, 3684
ArtCir13268260, 268, 2723
ArtCir18336318, 334, 336, 3254
ArtCir22386, 389, 402, 405382, 3865
ArtCir23344, 355345, 348, 357, 3606
ArtCir26380, 388, 390, 401383, 387, 393, 397, 3999
ArtCir32375, 379367, 369, 3855
ArtCir38281, 276274, 281, 282, 285, 2896
ArtCir43388, 394, 403391408, 4096
ArtCir48313303, 313, 3153
ArtCir50358, 377, 385403358, 4034
ArtCir59290290290, 297, 3053

Note: AT = total number of alleles; N = number of samples.

Cross-amplification of 16 Arthropodium cirratum microsatellites in A. bifurcatum and A. candidum, showing fragment sizes of each allele. Note: AT = total number of alleles; N = number of samples.

CONCLUSIONS

We developed 16 variable microsatellite markers for A. cirratum using Illumina MiSeq data. Although most of the markers had a low number of alleles, many showed fixed allelic differences between the populations examined. These markers will be useful for characterizing genetic diversity and structure in A. cirratum and for examining the translocation of this species.
Appendix 1.

Location and voucher information for Arthropodium species used in this study.

SpeciesnVoucher no.aLocationGeographic coordinates
Arthropodium cirratum (G. Forst.) R. Br.1WELT SP103437bIn cultivation, ex. Surville Cliffs, Northland, NZ−34.3956, 173.0124
1WELT SP104032bWaikawa, East Cape, NZ−37.6783, 177.7483
1AK 311376bHaparapara, East Cape, NZ−37.7929, 177.6679
1CHR 473343bPapanui Point, Waikato, NZ−37.8898, 174.7636
21AK 311414Hick’s Bay, East Cape, NZ−37.5683, 178.2866
22AK 308946Maunganui Bluff, Northland, NZ−35.7783, 173.5703
20WELT SP103515Matapouri Bay, Northland, NZ−35.5623, 174.5094
A. bifurcatum Heenan, A. D. Mitch. & de Lange1WELT SP103440In cultivation, ex. Hen Island, Northland, NZ−35.8917, 174.7274
2WELT SP103512In cultivation, ex. Poor Knights Islands, Northland, NZ−35.4688, 174.7365
1WELT SP103511In cultivation, ex. Surville Cliffs, Northland, NZ−34.3956, 173.0124
1AK 309832Surville Cliffs, Northland, NZ−34.3956, 173.0124
1WELT SP103534Great Island, Three Kings, Northland, NZ−34.1575, 172.1387
A. candidum Raoul2WELT SP103527Golden Bay, NW Nelson, NZ−40.8873, 172.8122
1Lake Wakatipu, Otago, NZ−40.0424, 168.63704

Note: n = number of sampled individuals; NZ = New Zealand.

Vouchers are deposited in the herbaria of Auckland Museum (AK), Auckland, New Zealand; Landcare Research (CHR), Lincoln, New Zealand; or the Museum of New Zealand (WELT), Wellington, New Zealand. One representative voucher sample was collected per population.

Samples used for initial library construction.

  7 in total

1.  Two micro-scale protocols for the isolation of DNA from polysaccharide-rich plant tissue.

Authors:  Lara D Shepherd; Todd G B McLay
Journal:  J Plant Res       Date:  2010-10-07       Impact factor: 2.629

2.  genepop'007: a complete re-implementation of the genepop software for Windows and Linux.

Authors:  François Rousset
Journal:  Mol Ecol Resour       Date:  2008-01       Impact factor: 7.090

3.  MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph.

Authors:  Dinghua Li; Chi-Man Liu; Ruibang Luo; Kunihiko Sadakane; Tak-Wah Lam
Journal:  Bioinformatics       Date:  2015-01-20       Impact factor: 6.937

4.  QUAST: quality assessment tool for genome assemblies.

Authors:  Alexey Gurevich; Vladislav Saveliev; Nikolay Vyahhi; Glenn Tesler
Journal:  Bioinformatics       Date:  2013-02-19       Impact factor: 6.937

5.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

6.  WebSat--a web software for microsatellite marker development.

Authors:  Wellington Santos Martins; Divino César Soares Lucas; Kelligton Fabricio de Souza Neves; David John Bertioli
Journal:  Bioinformation       Date:  2009-01-12

7.  Evidence of a Strong Domestication Bottleneck in the Recently Cultivated New Zealand Endemic Root Crop, Arthropodium cirratum (Asparagaceae).

Authors:  Lara D Shepherd; Peter J de Lange; Simon Cox; Patricia A McLenachan; Nick R Roskruge; Peter J Lockhart
Journal:  PLoS One       Date:  2016-03-24       Impact factor: 3.240

  7 in total
  1 in total

1.  Genetic structuring of the coastal herb Arthropodium cirratum (Asparagaceae) is shaped by low gene flow, hybridization and prehistoric translocation.

Authors:  Lara D Shepherd; Mariana Bulgarella; Peter J de Lange
Journal:  PLoS One       Date:  2018-10-17       Impact factor: 3.240

  1 in total

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