Literature DB >> 25202568

Microsatellite markers for the yam bean Pachyrhizus (Fabaceae).

Marc Delêtre1, Beatriz Soengas1, José Utge2, Josie Lambourdière2, Marten Sørensen3.   

Abstract

PREMISE OF THE STUDY: Microsatellite loci were developed for the understudied root crop yam bean (Pachyrhizus spp.) to investigate intraspecific diversity and interspecific relationships within the genus Pachyrhizus. • METHODS AND
RESULTS: Seventeen nuclear simple sequence repeat (SSR) markers with perfect di- and trinucleotide repeats were developed from 454 pyrosequencing of SSR-enriched genomic libraries. Loci were characterized in P. ahipa and wild and cultivated populations of four closely related species. All loci successfully cross-amplified and showed high levels of polymorphism, with number of alleles ranging from three to 12 and expected heterozygosity ranging from 0.095 to 0.831 across the genus. •
CONCLUSIONS: By enabling rapid assessment of genetic diversity in three native neotropical crops, P. ahipa, P. erosus, and P. tuberosus, and two wild relatives, P. ferrugineus and P. panamensis, these markers will allow exploration of the genetic diversity and evolutionary history of the genus Pachyrhizus.

Entities:  

Keywords:  Fabaceae; Pachyrhizus; cross-species amplification; microsatellites; pyrosequencing; yam bean

Year:  2013        PMID: 25202568      PMCID: PMC4103131          DOI: 10.3732/apps.1200551

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


Yam beans (Pachyrhizus Rich. ex DC., Fabaceae) are little-studied plants with edible tuberous roots native to South and Central America. The genus comprises five species, two wild (P. panamensis R. T. Clausen and P. ferrugineus (Piper) M. Sørensen) and three cultivated (P. ahipa (Wedd.) Parodi, P. erosus (L.) Urb., and P. tuberosus (Lam.) Spreng.). Yam beans are grown for their starchy root but are propagated exclusively through seeds. To stimulate root growth, farmers prune flower buds but leave either one pod on each plant or select a few plants dedicated to seed production. To set conservation strategies, it is necessary to understand how these different methods influence the crop’s dynamics of genetic diversity, but this requires molecular tools that yield information on important parameters such as heterozygosity and allelic frequencies needed for the computation of most population genetic statistics. There are to date no available genetic markers for Pachyrhizus species. Socially and culturally important but economically marginalized, yam beans are “orphans” to crop science, and few resources have been invested in evaluating the current status of genetic diversity in these minor yet promising crops. The lack of molecular tools has probably stymied efforts to document these largely untapped genetic resources. In this paper, we report the isolation and characterization of 17 polymorphic simple sequence repeat nuclear markers for P. ahipa and their successful cross-amplification in other Pachyrhizus species. Phylogenetic relationships among Pachyrhizus species remain largely unresolved. This new set of molecular markers will permit investigation of the phylogeography of the Pachyrhizus complex.

METHODS AND RESULTS

Total genomic DNA was extracted from herbarium specimens from 20 mg of lyophilized leaf tissue using NucleoSpin 96 Plant kits (Macherey-Nagel, Hoerdt, France) following the manufacturer’s instructions. Purified DNA was eluted in a final volume of 200 μL, and final concentration was checked using a Nanodrop ND-1000 spectrophotometer (Labtech, Palaiseau, France). A sample of 3 μg total DNA at 60 ng/μL final concentration, representing a pool of 12 P. ahipa accessions spanning the whole distribution range of the species in Bolivia, was sent to Genoscreen (Lille, France) for production of enriched DNA libraries and 454 GS-FLX Titanium (Roche Applied Science, Meylan, France) pyrosequencing (Malausa et al., 2011). A total of 3454 sequences containing potential microsatellite motifs were produced. Following sequence cleaning and removal of duplicates, 252 primer pairs (only perfect repeats with at least five repeats) were designed using the QDD bioinformatics pipeline (Meglécz et al., 2010). We selected a set of markers that would cover a wide range of amplification product sizes and could be used in multiplex reactions (i.e., that minimized differences in annealing temperatures and complementarity among primer pairs), targeting in priority loci with the longest di- and trinucleotide repeats (six repeats or more). A cost-efficient approach to selecting markers is to prescreen microsatellites for polymorphism using in silico DNA sequences (Hoffman and Nichols, 2011), but very little sequence information is available for the understudied genus Pachyrhizus. Blasting primer sequences against sequences available at GenBank for the closest Fabaceae species, we obtained the best results with the model crop Glycine max (L.) Merr. (subtribe Glycininae), with a mean query coverage (±SE) of 88% (±23) and 93% (±8) identity between G. max and P. ahipa homologous sequences. Targeting conserved flanking regions among distantly related species can also be a potent way to enhance cross-species utility of microsatellite markers (Dawson et al., 2010). Using microsatellite variability in G. max as a proxy to infer variability among putative microsatellites in Pachyrhizus spp., we targeted loci most likely to be polymorphic. Thirty-six primer pairs were tested in separate PCRs. Nine pairs failed to produce clear amplicons. A second test was carried out on the 27 primer pairs that amplified using a sample of 144 accessions (wild and cultivated) from herbarium specimens representing varietal, morphological, and potential genetic variation across the natural distribution area of the genus (Appendix 1). Multiplex PCR were carried out on an Eppendorf Mastercycler ep gradient thermocycler (Eppendorf, Hamburg, Germany) using phosphoramidite-labeled oligonucleotides (Applied Biosystems, Warrington, United Kingdom) in a final volume of 12.5 μL. Along with 1 μL of nondiluted DNA template, each well contained 6.25 μL of QIAGEN Type-it Master Mix (QIAGEN, Hilden, Germany), 1.25 μL of 10× primer mix (with primers at 2 μM), and 4 μL of RNase-free water. An initial activation step at 95°C for 30 s preceded 20 cycles of amplification, each starting with an annealing step of 90 s at 56°C and continuing with an extension at 72°C for 30 s. Amplification ended with a final extension at 60°C for 30 min. To ensure unambiguous peak assignment, primer pairs were pooled in two different sets (M1 and M2) as indicated in Table 1. Multiplex Manager 1.2 software (Holleley and Geerts, 2009) was used to optimize primer combinations.
Table 1.

Characteristics of the 17 microsatellite loci developed for Pachyrhizus spp.

LocusPrimer sequences (5′–3′)Repeat motifAllele size range (bp)Ta (°C)Primer set5′ dyeGenBank accession no.
AIP1F: CAGTAGCACCTCCACCGTTT(CT)986–9256M16-FAMJX846809
R: GTAGAGATCTCCGGTGCCAG
AIP5F: GTCGCCTTGTCCTCACTTTC(GAA)797–10956M1NEDJX846810
R: CAACGCACTGTTCTTCCAAC
AIP9F: GTGATCTGTGGTTCTCACGG(AC)10121–12756M2PETJX846811
R: TGCAATACAACCCTTTGGTTC
AIP10F: TAATCCAAAATGGGCTTGGA(GAA)7122–14856M16-FAMJX846812
R: GGAACATATTCACTGCTTCTTCTTC
AIP15F: AATCCCGATCCTATTCCACC(CAA)14146–16756M26-FAMJX846813
R: TTGGAAGGCTGATCATAGGG
AIP16F: TGGTTAAAGCCTCTGAATTTGC(TC)7172–18662M16-FAMJX846814
R: AGTCAGCACCAAGTCTCCGT
AIP17F: TCAGCTGCATAAGTTGAAGACTC(TTC)15157–21160M2NEDJX846815
R: TGCAGGTGATCTTCTGAACTC
AIP19F: AGTGACATGATCACCCCATTC(AG)9201–20556M1PETJX846816
R: TCGAATCCAGAGATTTATGATGG
AIP21F: ATGTAACAGTGCGGTTTGGC(TC)8227–23756M1NEDJX846817
R: GAGGCAGTGAATTACACTAAGAAATC
AIP22F: CCTCTTGTCACTCTTTCATCTCC(TTC)10227–26356M2VICJX846818
R: CTCTGCAATTCCCTTCCTGA
AIP23F: CAAATCTGACCCTTTAGGCG(TCT)9231–25256M2PETJX846819
R: AAGCAGGCATAACCTTGTTGA
AIP27F: AGCAACTTCCTTCATCTTCCA(AAC)6295–30162M1VICJX846820
R: CAAGGGAGAATTTGAGCAGC
AIP28F: GTAGCCATTGCTATGCCATT(TC)1085–10756M1PETJX846821
R: CGACTGCGTGATAGACTCTG
AIP30F: TCCATCGTTGTCTACAACACC(CTT)17281–32956M26-FAMJX846822
R: TGAGGAGGAAGAAAGTCAGAGTG
AIP31F: CCACTAACTTCGTCCATTGC(CT)10162–19856M1PETJX846823
R: CCAAAGGGATATGGAAACGA
AIP34F: ACGATGGATAACTGTTGTACGTG(CT)986–9056M26-FAMJX846824
R: AAATGAGGGAGAAGATTGGTTG
AIP36F: CCCAAACAACTATAATGAACTTGAA(AG)11188–19856M26-FAMJX846825
R: TGTTCCCTATGAGATGTCTGCTAT

Note: F = forward primer sequence; R = reverse primer sequence; Ta = optimal annealing temperature.

Characteristics of the 17 microsatellite loci developed for Pachyrhizus spp. Note: F = forward primer sequence; R = reverse primer sequence; Ta = optimal annealing temperature. Genotyping was performed on an ABI PRISM 3130 Genetic Analyzer (Perkin Elmer/Applied Biosystems, Foster City, California, USA). Each sample was prepared from 1 μL of PCR template to which 8.8 μL formamide and 0.2 μL GeneScan 500 LIZ Size Standard (Applied Biosystems) were added. Genotypes were extracted and analyzed using GeneMapper 4.0 software (Applied Biosystems). To reduce the risk of typing errors, allele peaks were checked by eye. Cross-species amplification tests succeeded for all loci across the genus. Six loci were strictly monomorphic across all species and were discarded. At the species level, 15 out of the 17 remaining loci were monomorphic in P. ahipa, six in the cultivated P. tuberosus, and four in the cultivated P. erosus (Table 2). Only two and three loci were monomorphic in the wild P. tuberosus and wild P. erosus, respectively. Number of alleles, observed and expected heterozygosities, and tests for deviation from Hardy–Weinberg equilibrium (HWE) were estimated using GenAlEx version 6.41 (Peakall and Smouse, 2006). Results for each locus and species are summarized in Table 2. The number of alleles ranged from three to 12, with a mean value of (±SE) 6.4 ± 3.0 alleles across loci and species. Expected heterozygosity ranged from 0.095 (AIP9) to 0.831 (AIP30). All loci showed significant deviation from HWE in the three cultivated species (P < 0.001). Linkage disequilibrium was checked using GENEPOP 4.1.4 (Rousset, 2008). Two pairs of loci showed significant linkage disequilibrium in the cultivated P. erosus after Bonferroni correction for multiple comparisons (P < 0.0004). Yam beans are predominantly self-pollinating species with outcrossing rates typically ranging between 2% and 4% (Sørensen, 1996), and physical linkage of loci cannot be distinguished from disequilibrium due to nonrandom mating.
Table 2.

Results of initial primer screening in Pachyrhizus ahipa, P. erosus, and P. tuberosus (wild and cultivated) for the 17 polymorphic loci. Cross-amplification tests were also carried in two wild species, P. ferrugineus and P. panamensis.

P. ahipa (cultivated)P. erosus (cultivated)P. erosus (wild)P. ferrugineusP. panamensisP. tuberosus (cultivated)P. tuberosus (wild)
LocusnAHoHenAHoHenAHoHenAHoHenAHoHenAHoHenAHoHe
AIP14611911430.0710.55441220.5000.3755030.0000.340830.1250.477
AIP54611930.0000.4601420.0000.490412150181
AIP94611811420.0000.459430.5000.5942150181
AIP104611930.1050.5171450.1430.758440.5000.719220.0000.5005020.0000.113850.2500.773
AIP154611940.0000.6811450.0000.673420.0000.375230.5000.6255020.0000.241850.2500.719
AIP16461191141420.2500.219220.0000.5005020.0000.077830.1250.461
AIP174620.0000.0431950.0000.6371470.1430.66841220.0000.5005020.0000.113850.2500.727
AIP194611720.0000.2081420.0710.497420.0000.375215020.0000.039820.0000.219
AIP214611630.0630.6431430.0710.538430.5000.531220.0000.500501830.2500.586
AIP224511730.0000.6371450.0710.543420.0000.500230.5000.6255020.0000.113850.2500.750
AIP234611120.0000.397830.0000.594420.0000.375220.0000.5005020.0000.365730.1430.622
AIP274611420.0000.337141420.2500.46921501820.0000.219
AIP284612020.0000.4801430.0710.554430.5000.594220.0000.500501840.1250.680
AIP304520.0000.4111830.0000.4751440.0000.612430.2500.531220.0000.5004960.0000.493860.2500.734
AIP314511540.0000.4361120.0910.23611114830.0000.322850.2500.625
AIP344611920.0000.1881420.2140.436420.0000.37521501820.1250.117
AIP3645119114141220.5000.3755020.0000.343840.5000.695

Note: — = He and Ho could not be calculated because the locus is monomorphic in this species; A = number of alleles detected; He = expected heterozygosity; Ho = observed heterozygosity; n = number of samples genotyped.

Results of initial primer screening in Pachyrhizus ahipa, P. erosus, and P. tuberosus (wild and cultivated) for the 17 polymorphic loci. Cross-amplification tests were also carried in two wild species, P. ferrugineus and P. panamensis. Note: — = He and Ho could not be calculated because the locus is monomorphic in this species; A = number of alleles detected; He = expected heterozygosity; Ho = observed heterozygosity; n = number of samples genotyped.

CONCLUSIONS

Conservation of crop genetic resources hinges on the availability of efficient molecular tools to characterize population genetic structure and decipher the dynamics of crop genetic diversity. The case of Pachyrhizus illustrates the spillover benefits to be reaped from next-generation sequencing and research on model plants for the study of minor crops (Varshney et al., 2010). The markers we developed showed high levels of polymorphism and enough discriminant power for distinguishing among varietal groups within species. They will be available for a wide range of applications, from breeding to population genetic studies. Markers also revealed a surprisingly low level of genetic variability in the Bolivian root crop, P. ahipa. While the wild parent of the crop has yet to be identified, we will use the new markers to investigate the origin of P. ahipa. Results should shed new light on the evolutionary history of the Pachyrhizus genus.
Appendix 1.

List of exsiccatae used in cross-species amplification tests. Wild and cultivated specimens are indicated as well as varietal types (when available).

SpeciesVoucher specimenHerbariumStatusVarietal typeGeographic originGeographic coordinatesn
P. ahipaAC102CPCult.Bolivia−21.516667−64.757
AC201CPCult.Bolivia−16.991785−67.656673
AC202CPCult.Bolivia−16.991785−67.656673
AC203CPCult.Bolivia−17.003605−67.6326373
AC204CPCult.Bolivia−16.991785−67.656674
AC205CPCult.Bolivia−17.578248−65.9083563
AC206CPCult.Bolivia−17.578248−65.9083562
AC207CPCult.Bolivia−17.578248−65.9083562
AC208CPCult.Bolivia−17.115358−66.8660822
AC209CPCult.Bolivia−16.702337−67.9287242
AC213CPCult.Bolivia−16.565948−67.4500755
AC214CPCult.Bolivia−16.816619−67.583275
AC521CPCult.Bolivia−17.386354−66.1669352
AC526CPCult.Bolivia−22.191736−64.6797393
P. erosusEC004CPCult.Mexico21.036201−104.3717551
EC006CPCult.Mexico17.084025−96.7502691
EC033CPCult.Mexico20.694622−88.8054371
EC040CPCult.Guatemala14.183014−90.0222371
EC042CPCult.Guatemala14.198991−90.0510121
EC043CPCult.JícamaGuatemala13.850747−90.1074891
EC104CPCult.Mexico20.172634−89.0181541
EC116CPCult.Guatemala14.272535−90.0381371
EC204CPCult.Mexico19.453644−96.9585231
EC205CPCult.Agua DulceMexico20.574095−100.7480261
EC214CPCult.Guatemala16.968801−89.9122241
EC216CPCult.Guatemala16.792709−89.933511
EC219CPCult.JícamaGuatemala16.514523−89.4156791
EC250CPCult.Guatemala16.968801−89.9122241
EC352CPCult.Honduras14.89834−88.7216951
EC353CPCult.Honduras14.398769−89.1973691
EC502CPCult.CristalinaMexico17.224758−93.6035161
EC510CPCult.Mexico19.848102−90.5220791
EC559CPCult.Tipo NayaritMexico21.813775−105.2076671
EC560CPCult.Agua DulceMexico21.054305−104.4843721
EW048CPWildCosta Rica10.495914−85.3587341
EW049CPWildCosta Rica10.495914−85.3587341
EW050CPWildCosta Rica10.495914−85.3587341
EW051CPWildCosta Rica10.495914−85.3587341
EW053CPWildCosta Rica10.51883−85.254251
EW054CPWildCosta Rica10.522919−85.2541351
EW115CPWildCosta Rica15.801297−91.7551591
EW203CPWildMexico19.489088−96.9504261
EW212CPWildGuatemala15.078426−89.4363911
EW222CPWildCosta Rica10.578947−85.4043961
EW223CPWildCosta Rica10.547559−85.6817441
EW229CPWildCosta Rica18.457018−70.1212761
EW230CPWildDominican Republic18.755268−70.0172571
EW522CPWildMauritius−20.23389257.4970521
P. ferrugineusFW044CPWildGuatemala15.2835−89.06531
FW220CPWildCosta Rica10.041001−83.5459981
FW237CPWildMartinique14.74463−61.1726551
1713FHOWildHonduras15.28333333−87.651
P. panamensisPW055CPWildPanama9.211261−79.6160921
PW056CPWildPanama−2.235923−80.07731
P. tuberosusTC063CPCult.AshipaBolivia−17.402899−63.7695381
TC210CPCult.AshipaBolivia−16.313055−67.6048991
TC239CPCult.JíquimaEcuador−0.78052−80.2596191
TC303CPCult.IwaEcuador−1.516623−77.9835461
TC306CPCult.IwaEcuador−1.034976−77.6651931
TC307CPCult.CapamuEcuador−1.197423−77.3941041
TC308CPCult.CapamuEcuador−1.197423−77.3941041
TC309CPCult.NamaouEcuador−1.931854−77.8672031
TC311CPCult.JíquimaEcuador−1.350635−80.5795311
TC313CPCult.JíquimaEcuador−1.04433−80.658461
TC314CPCult.JíquimaEcuador−1.049994−80.5165961
TC350CPCult.Chuin moradoPeru−4.913096−73.6830141
TC351CPCult.AshipaPeru−3.784781−73.3437251
TC352CPCult.Chuin moradoPeru−5.816514−74.3991281
TC353CPCult.Chuin amarilloPeru−4.995186−73.9823911
TC354CPCult.Chuin blancoPeru−9.462608−74.1911321
TC355CPCult.Chuin moradoPeru−9.462608−74.1911321
TC356CPCult.AshipaPeru−4.981505−73.8203431
TC357CPCult.Ashipa maronPeru−3.783925−73.3447551
TC358CPCult.Ashipa maronPeru−3.783925−73.3447551
TC359CPCult.AshipaPeru−6.914839−75.1719051
TC361CPCult.Chuin moradoPeru−9.462608−74.1911321
TC362CPCult.Chuin moradoPeru−9.462608−74.1911321
TC374CPCult.AshipaPeru−8.538923−74.8763471
TC375CPCult.AshipaPeru−8.393583−74.423991
TC376CPCult.YushpePeru−8.688282−74.4326021
TC532CPCult.AjipaBolivia−15.166667−67.0666671
TC533CPCult.AjipaBolivia−14.349548−67.9501251
TC534CPCult.AshipaPeru−6.027214−76.9668391
TC537CPCult.AshipaPeru−12.982437−71.2841111
TC538CPCult.AshipaPeru−13.896077−71.5011981
TC544CPCult.Chuin moradoPeru−4.554522−73.6209871
TC547CPCult.Chuin moradoPeru−4.570265−73.6854171
TC548CPCult.Chuin moradoPeru−4.570265−73.6854171
TC549CPCult.Chuin moradoPeru−4.625704−73.7527081
TC550CPCult.JíquimaEcuador−0.78052−80.2596191
TC551CPCult.JíquimaEcuador−0.78052−80.2596191
TC552CPCult.JíquimaEcuador−0.922554−80.4460641
TC553CPCult.JíquimaEcuador−1.206948−80.3690391
TC554CPCult.JíquimaEcuador−0.92267−80.4456791
TC555CPCult.JíquimaEcuador−0.92267−80.4456791
TC556CPCult.IwaEcuador−1.516623−77.9835461
TC557CPCult.IwaEcuador−1.482921−78.0024131
TC564CPCult.CocotichuinPeru−3.708167−73.2001671
TC565CPCult.CocotichuinPeru−8.735792−74.5409771
TC566CPCult.Chuin blancoPeru−8.764296−74.5299911
TC568CPCult.AshipaPeru−8.692863−74.4143771
TC575CPCult.Chuin moradoPeru−3.708041−73.2000451
TC577CPCult.CocotichuinPeru−9.354223−74.3064881
TC578CPCult.Chuin blancoPeru−8.764296−74.5299911
TW378CPWildEcuador−0.91659−77.7500371
TW379CPWildEcuador−2.299945−78.1000541
TW380CPWildEcuador−3.406414−78.5724311
TW381CPWildEcuador−3.88318−78.7834881
TW558CPWildEcuador−1.066685−79.4666931
TW559CPWildEcuador−1.066642−79.4666931
TW560CPWildEcuador−1.066642−79.4666931
TW561CPWildEcuador−0.016136−79.3834881

Note: CP = Royal Veterinary and Agricultural University Herbarium, Copenhagen, Denmark; cult. = cultivated; FHO = University of Oxford, Daubeny Herbarium, Oxford, United Kingdom; n = number of individuals per accession.

  8 in total

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6.  New methods to identify conserved microsatellite loci and develop primer sets of high cross-species utility - as demonstrated for birds.

Authors:  Deborah A Dawson; Gavin J Horsburgh; Clemens Küpper; Ian R K Stewart; Alexander D Ball; Kate L Durrant; Bengt Hansson; Ida Bacon; Susannah Bird; Akos Klein; Andrew P Krupa; Jin-Won Lee; David Martín-Gálvez; Michelle Simeoni; Gemma Smith; Lewis G Spurgin; Terry Burke
Journal:  Mol Ecol Resour       Date:  2009-10-22       Impact factor: 7.090

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

8.  A novel approach for mining polymorphic microsatellite markers in silico.

Authors:  Joseph I Hoffman; Hazel J Nichols
Journal:  PLoS One       Date:  2011-08-10       Impact factor: 3.240

  8 in total
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2.  Microsatellite markers: what they mean and why they are so useful.

Authors:  Maria Lucia Carneiro Vieira; Luciane Santini; Augusto Lima Diniz; Carla de Freitas Munhoz
Journal:  Genet Mol Biol       Date:  2016-08-04       Impact factor: 1.771

3.  Ecotypic differentiation under farmers' selection: Molecular insights into the domestication of Pachyrhizus Rich. ex DC. (Fabaceae) in the Peruvian Andes.

Authors:  Marc Delêtre; Beatriz Soengas; Prem Jai Vidaurre; Rosa Isela Meneses; Octavio Delgado Vásquez; Isabel Oré Balbín; Monica Santayana; Bettina Heider; Marten Sørensen
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