Register      Login
Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE (Open Access)

Genetic diversity among wild and cultivated germplasm of the perennial pasture grass Phalaris aquatica, using DArTseq SNP marker analysis

Washington J. Gapare A B , Andrzej Kilian C , Alan V. Stewart D , Kevin F. Smith E and Richard A. Culvenor https://orcid.org/0000-0002-5016-0278 A F
+ Author Affiliations
- Author Affiliations

A CSIRO Agriculture and Food, GPO Box 1700, Canberra, ACT 2601, Australia.

B Present address: Grains Research and Development Corporation, PO Box 5367, Kingston, ACT 2604, Australia.

C Diversity Arrays Technology, Building 3, Level D, University of Canberra, Monana St., Bruce, ACT 2617, Australia.

D PGG Wrightson Seeds Ltd, Lincoln, New Zealand.

E Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Private Bag 105, Hamilton, Vic. 3300, Australia.

F Corresponding author. Email: Richard.Culvenor@csiro.au

Crop and Pasture Science 72(10) 823-840 https://doi.org/10.1071/CP21112
Submitted: 15 February 2021  Accepted: 24 May 2021   Published: 14 September 2021

Journal Compilation © CSIRO 2021 Open Access CC BY-NC

Abstract

Phalaris aquatica L. (phalaris) is a cool-season perennial grass originating from the Mediterranean Basin, north-west Africa and Middle Eastern regions that is used for livestock agriculture mainly in temperate areas with dry summers. It has been the subject of breeding programs in Australia, South America, New Zealand and the USA. Increased knowledge of relationships between wild and cultivated germplasm through use of molecular markers has the potential to facilitate future breeding gains. For this purpose, we conducted an analysis of P. aquatica by using 3905 polymorphic DArTseq SNP markers. Genetic diversity as measured by expected heterozygosity was similar for wild (HE = 0.14; n = 57) and cultivated (HE = 0.13; n = 37) accessions. Diversity in wild germplasm was generally continuous in nature, largely related to geographical location, with a division at the broadest scale into eastern and western clades, with more admixture in the western than the eastern clade. Structure analysis of wild germplasm indicated six subpopulations consistent with country of origin, with some admixture among subpopulations likely resulting from natural and human influences. There were nine subpopulations among wild and cultivated accessions combined. This population structure should be considered if genomic selection is applied in P. aquatica. Analysis of molecular variance indicated that 71% of the genetic variation occurred within subpopulations and 29% among subpopulations. Genetic distances were low among cultivated germplasm from most countries except the USA, which was more distinct. Evaluation of material from the US pool by breeding programs in other countries, and additional material from the less utilised eastern clade, may be worthwhile.

Keywords: AMOVA, bulbous canary grass, DArTseq, Diversity Arrays Technology, genetic diversity, genotyping-by-sequencing, Phalaris aquatica, perennial grass, wild ecotype.


References

Abbasov M, Sansaloni CP, Burgueno J, Petroli CD, Akparov Z, Aminov N, Babayeva S, Izzatullayeva V, Hajiyev E, Rustamov K, Mammadova SA, Amri A, Payne T (2020) Genetic diversity analysis using DArTseq and SNP markers in populations of Aegilops species from Azerbaijan. Genetic Resources and Crop Evolution 67, 281–291.
Genetic diversity analysis using DArTseq and SNP markers in populations of Aegilops species from Azerbaijan.Crossref | GoogleScholarGoogle Scholar |

Adams TE, Love RM, MacLauchlan RS (1974) Registration of Perla koleagrass. Crop Science 14, 339
Registration of Perla koleagrass.Crossref | GoogleScholarGoogle Scholar |

Alam M, Neal J, O’Connor K, Kilian A, Topp B (2018) Ultra-high-throughput DArTseq-based SilicoDArT and SNP markers for genomic studies in macadamia. PLoS One 13, e0203465
Ultra-high-throughput DArTseq-based SilicoDArT and SNP markers for genomic studies in macadamia.Crossref | GoogleScholarGoogle Scholar | 30592720PubMed |

Anderson DE (1961) Taxonomy and distribution of the genus Phalaris. Iowa State Journal of Science 36, 1–96.

Baillie RC, Drayton MC, Pembleton LW, Kaur S, Culvenor RA, Smith KF, Spangenberg GC, Forster JW, Cogan NOI (2017) Generation and characterisation of a reference transcriptome for phalaris (Phalaris aquatica L.). Agronomy 7, 14
Generation and characterisation of a reference transcriptome for phalaris (Phalaris aquatica L.).Crossref | GoogleScholarGoogle Scholar |

Baldini RM (1993) The genus Phalaris L. (Gramineae) in Italy. Webbia 47, 1–53.
The genus Phalaris L. (Gramineae) in Italy.Crossref | GoogleScholarGoogle Scholar |

Baldini RM (1995) Revision of the genus Phalaris L. (Gramineae). Webbia 49, 265–329.
Revision of the genus Phalaris L. (Gramineae).Crossref | GoogleScholarGoogle Scholar |

Bolibok-Brągoszewska H, Targońska M, Bolibok L, Kilian A, Rakoczy-Trojanowska M (2014) Genome-wide characterization of genetic diversity and population structure in Secale. BMC Plant Biology 14, 184
Genome-wide characterization of genetic diversity and population structure in Secale.Crossref | GoogleScholarGoogle Scholar | 25085433PubMed |

Carlson IT, Oram RN, Surprenant J (1996) Reed canarygrass and other Phalaris species. In ‘Cool-season forage grasses’. (Eds LE Moser, DR Buxton, MD Casler) pp. 569–604. (ASA, CSSA, SSSA: Madison, WI, USA)

Cooper JP, McWilliam JR (1966) Climatic variation in forage grasses. II. Germination, flowering and leaf development in Mediterranean populations of Phalaris tuberosa. Journal of Applied Ecology 3, 191–212.
Climatic variation in forage grasses. II. Germination, flowering and leaf development in Mediterranean populations of Phalaris tuberosa.Crossref | GoogleScholarGoogle Scholar |

Cruz VM, Kilian A, Dierig DA (2013) Development of DArT marker platforms and genetic diversity assessment of the U.S. collection of the new oilseed crop lesquerella and related species. PLoS One 8, e64062
Development of DArT marker platforms and genetic diversity assessment of the U.S. collection of the new oilseed crop lesquerella and related species.Crossref | GoogleScholarGoogle Scholar | 23724020PubMed |

Cunningham PJ, Graves WL, Chakroun M, Mezni MY, Saidi S, Bounejmate M, Porqueddu C, Reed KFM (1997) Novel perennial forage germplasm from North Africa and Sardinia. Australian Plant Introduction Reviews 27, 13–46.

Dolezel J, Bartos J (2005) Plant DNA flow cytometry and estimation of nuclear genome size. Annals of Botany 95, 99–110.
Plant DNA flow cytometry and estimation of nuclear genome size.Crossref | GoogleScholarGoogle Scholar | 15596459PubMed |

Edet OU, Gorafi YSA, Nasuda S, Tsujimoto H (2018) DArTseq-based analysis of genomic relationships among species of tribe Triticeae. Scientific Reports 8, 16397
DArTseq-based analysis of genomic relationships among species of tribe Triticeae.Crossref | GoogleScholarGoogle Scholar | 30401925PubMed |

Elshire RJ, Glaubitz JC, Sun Q, Poland JA, Kawamoto K, Buckler ES, Mitchell SE (2011) A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species. PLoS One 6, e19379
A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species.Crossref | GoogleScholarGoogle Scholar | 21573248PubMed |

Farahani S, Maleki M, Mehrabi R, Kanouni H, Scheben A, Batley J, Talebi R (2019) Whole genome diversity, population structure, and linkage disequilibrium analysis of chickpea (Cicer arietinum L.) genotypes using genome-wide DArTseq SNP markers. Genes 10, 676
Whole genome diversity, population structure, and linkage disequilibrium analysis of chickpea (Cicer arietinum L.) genotypes using genome-wide DArTseq SNP markers.Crossref | GoogleScholarGoogle Scholar |

Frankham R, Ballou JD, Briscoe DA (2002) ‘Introduction to conservation genetics.’ (Cambridge University Press: Cambridge, UK)

Frichot E, Francois O (2015) LEA: an R package for landscape and ecological association studies. Methods in Ecology and Evolution 6, 925–929.
LEA: an R package for landscape and ecological association studies.Crossref | GoogleScholarGoogle Scholar |

Frichot E, Mathieu F, Trouillon T, Bouchard G, François O (2014) Fast and efficient estimation of individual ancestry coefficients. Genetics 196, 973–983.
Fast and efficient estimation of individual ancestry coefficients.Crossref | GoogleScholarGoogle Scholar | 24496008PubMed |

Fu Y (2015) Understanding crop genetic diversity under modern plant breeding. Theoretical and Applied Genetics 128, 2131–2142.
Understanding crop genetic diversity under modern plant breeding.Crossref | GoogleScholarGoogle Scholar | 26246331PubMed |

Fu YB, Peterson GW, Scoles G, Rossnagel B, Schoen DJ, Richards KW (2003) Allelic diversity changes in 96 Canadian oat cultivars released from 1886 to 2001. Crop Science 43, 1989–1995.
Allelic diversity changes in 96 Canadian oat cultivars released from 1886 to 2001.Crossref | GoogleScholarGoogle Scholar |

Gondro C (2015) ‘Primer to analysis of genomic data Using R.’ (Springer International Publishing: Cham, Switzerland)

Guthridge KM, Dupal MP, Kölliker R, Jones ES, Smith KF, Forster JW (2001) AFLP analysis of genetic diversity within and between populations of perennial ryegrass (Lolium perenne L.). Euphytica 122, 191–201.
AFLP analysis of genetic diversity within and between populations of perennial ryegrass (Lolium perenne L.).Crossref | GoogleScholarGoogle Scholar |

Hartl DL, Clark AG (2007) ‘Principles of population genetics.’ 4th edn. (Sinauer Associates: Sunderland, MA, USA)

Hopkins A, Saha M, Zhou L (2006) The Noble Foundation hardinggrass (Phalaris aquatica) breeding program. In ‘Proceedings of the 13th Australasian Plant Breeding Conference’. 18–21 April 2006 Christchurch, New Zealand. (Ed. CF Mercer) pp. 548–551. (New Zealand Grassland Association)

Hoveland CS, Haarland RL, Berry CD, Pedersen JF (1982) Oasis phalaris, a new cool season perennial grass. Alabama Agricultural Experiment Station Circular 259. Auburn University, Auburn, AL, USA.

Jakubowski AR, Jackson RD, Johnson RC, Hu J, Casler MD (2011) Genetic diversity and population structure of Eurasian populations of reed canarygrass: cytotypes, cultivars, and interspecific hybrids. Crop & Pasture Science 62, 982–991.
Genetic diversity and population structure of Eurasian populations of reed canarygrass: cytotypes, cultivars, and interspecific hybrids.Crossref | GoogleScholarGoogle Scholar |

Jenkin TJ, Sethi BL (1932) Phalaris arundinacea, Ph. tuberosa, their F1 hybrids and hybrid derivatives. Journal of Genetics 26, 1–38.
Phalaris arundinacea, Ph. tuberosa, their F1 hybrids and hybrid derivatives.Crossref | GoogleScholarGoogle Scholar |

Karapatsia A, Penglou G, Pappas I, Kiparissides C (2014) Bioethanol production via the fermentation of Phalaris aquatica L. hydrolysate. Chemical Engineering Transactions 37, 289–294.

Kaur S, Francki MG, Forster JW (2012) Identification, characterization and interpretation of single-nucleotide sequence variation in allopolyploid crop species. Plant Biotechnology Journal 10, 125–138.
Identification, characterization and interpretation of single-nucleotide sequence variation in allopolyploid crop species.Crossref | GoogleScholarGoogle Scholar | 21831136PubMed |

Kilian A, Huttner E, Wenzl P, Jaccoud D, Carling J, et al. (2005) The fast and the cheap: SNP and DArT-based whole genome profiling for crop improvement. In ‘In the wake of the double helix: from the green revolution to the gene revolution. Proceedings of International Congress’. 27–31 May 2003, Bologna, Italy. (Eds R Tuberosa, RL Phillips, M Gale) pp. 443–461. (Avenue Media: Bologna, Italy)

Kilian A, Wenzl P, Huttner E, Carling J, Xia L, Blois H, Caig V, et al (2012) Diversity arrays technology: a generic genome profiling technology on open platforms. Methods in Molecular Biology 888, 67–89.
Diversity arrays technology: a generic genome profiling technology on open platforms.Crossref | GoogleScholarGoogle Scholar | 22665276PubMed |

Kim J, Park H (2011) Fast nonnegative matrix factorization: an active-set-like method and comparisons. SIAM Journal of Computer Science 33, 3261–3281.
Fast nonnegative matrix factorization: an active-set-like method and comparisons.Crossref | GoogleScholarGoogle Scholar |

Kopecký D, Bartoš J, Christelová P, Černoch V, Kilian A, Doležel J (2011) Genomic constitution of Festuca × Lolium hybrids revealed by the DArTFest array. Theoretical and Applied Genetics 122, 355–363.
Genomic constitution of Festuca × Lolium hybrids revealed by the DArTFest array.Crossref | GoogleScholarGoogle Scholar | 20872131PubMed |

Latter BDH (1965) Quantitative genetic analysis in Phalaris tuberosa. II. Assortative mating and maternal effects in the inheritance of date of ear emergence, seed weight and seedling growth rate. Genetical Research 6, 371–386.
Quantitative genetic analysis in Phalaris tuberosa. II. Assortative mating and maternal effects in the inheritance of date of ear emergence, seed weight and seedling growth rate.Crossref | GoogleScholarGoogle Scholar |

Liu S, Feuerstein U, Luesink W, Schulze S, Asp T, Studer B, Becker H, Dehmer KJ (2018) DArT, SNP, and SSR analyses of genetic diversity in Lolium perenne L. using bulk sampling. BMC Genetics 19, 10
DArT, SNP, and SSR analyses of genetic diversity in Lolium perenne L. using bulk sampling.Crossref | GoogleScholarGoogle Scholar | 29357832PubMed |

McWilliam JR, Gibbon CN (1981) Selection for seed retention in Phalaris aquatica L. In ‘Proceedings of the XIV International Grassland Congress’. 15-24 June 1981. Lexington, KY, USA. (Eds JA Smith, VM Hays) pp. 269–272. (International Grassland Congress)

McWilliam JR, Latter BDH (1970) Quantitative genetic analysis in Phalaris and its breeding implications. Theoretical and Applied Genetics 40, 63–72.
Quantitative genetic analysis in Phalaris and its breeding implications.Crossref | GoogleScholarGoogle Scholar | 24435673PubMed |

McWilliam JR, Schroeder HE (1965) Seedmaster: a new cultivar of phalaris with high seed retention. Journal of the Australian Institute of Agricultural Science 31, 313–315.

McWilliam JR, Schroeder HE, Marshall DR, Oram RN (1971) Genetic stability of Australian phalaris (Phalaris tuberosa L.) under domestication. Australian Journal of Agricultural Research 22, 895–908.
Genetic stability of Australian phalaris (Phalaris tuberosa L.) under domestication.Crossref | GoogleScholarGoogle Scholar |

Mian MAR, Zwonitzer JC, Chen Y, Saha MC, Hopkins AA (2005) AFLP diversity within and among hardinggrass populations. Crop Science 45, 2591–2597.
AFLP diversity within and among hardinggrass populations.Crossref | GoogleScholarGoogle Scholar |

Neal-Smith CA (1955) Report on herbage plant exploration in the Mediterranean region. FAO Report No. 415. Food and Agriculture Organization of the United Nations, Rome.

Nei M (1978) Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89, 583–590.
Estimation of average heterozygosity and genetic distance from a small number of individuals.Crossref | GoogleScholarGoogle Scholar | 17248844PubMed |

Nybom H (2004) Comparison of different nuclear DNA markers for estimating intraspecific genetic diversity in plants. Molecular Ecology 13, 1143–1155.
Comparison of different nuclear DNA markers for estimating intraspecific genetic diversity in plants.Crossref | GoogleScholarGoogle Scholar | 15078452PubMed |

Oram RN, Schroeder HE (1992) Register of Australian Herbage Plant Cultivars A. Grasses 3. Phalaris (a) Phalaris aquatica L. (phalaris) cv. Holdfast. Australian Journal of Experimental Agriculture 32, 261–262.
Register of Australian Herbage Plant Cultivars A. Grasses 3. Phalaris (a) Phalaris aquatica L. (phalaris) cv. Holdfast.Crossref | GoogleScholarGoogle Scholar |

Oram RN, Ferreira V, Culvenor RA, Hopkins AA, Stewart A (2009) The first century of Phalaris aquatica L. cultivation and genetic improvement: a review. Crop & Pasture Science 60, 1–15.
The first century of Phalaris aquatica L. cultivation and genetic improvement: a review.Crossref | GoogleScholarGoogle Scholar |

Pappas IA, Koukoura Z, Tananaki C, Goulas C (2014) Effect of dilute acid pretreatment severity on the bioconversion efficiency of Phalaris aquatica lignocellulose biomass into fermentable sugars. Bioresource Technology 166, 395–402.
Effect of dilute acid pretreatment severity on the bioconversion efficiency of Phalaris aquatica lignocellulose biomass into fermentable sugars.Crossref | GoogleScholarGoogle Scholar | 24929811PubMed |

Patterson N, Price AL, Reich D (2006) Population structure and eigen-analysis. PLOS Genetics 2, e190
Population structure and eigen-analysis.Crossref | GoogleScholarGoogle Scholar | 17194218PubMed |

Pedersen JF, Hoveland CS, Haaland RL, Berry CD (1983) Registration of AU Oasis phalaris. Crop Science 23, 597
Registration of AU Oasis phalaris.Crossref | GoogleScholarGoogle Scholar |

Pedersen JF, Berry CD, Haaland RL, Hoveland CS (1984) Registration of AU-1 phalaris germplasm. Crop Science 24, 626
Registration of AU-1 phalaris germplasm.Crossref | GoogleScholarGoogle Scholar |

Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155, 945–959.
Inference of population structure using multilocus genotype data.Crossref | GoogleScholarGoogle Scholar | 10835412PubMed |

Putievsky E, Oram RN, Malafant K (1980) Chromosomal differentiation among ecotypes of Phalaris aquatica L. Australian Journal of Botany 28, 645–657.
Chromosomal differentiation among ecotypes of Phalaris aquatica L.Crossref | GoogleScholarGoogle Scholar |

Raman H, Raman R, Kilian A, Detering F, Carling J, et al (2014) Genome-wide delineation of natural variation for pod shatter resistance in Brassica napus. PLoS One 9, e101673
Genome-wide delineation of natural variation for pod shatter resistance in Brassica napus.Crossref | GoogleScholarGoogle Scholar | 25006804PubMed |

Rumball W (1980) Phalaris aquatica cv. ‘Grasslands Maru’. New Zealand Journal of Experimental Agriculture 8, 267–271.
Phalaris aquatica cv. ‘Grasslands Maru’.Crossref | GoogleScholarGoogle Scholar |

Sansaloni C, Petroli C, Jaccoud D, Carling J, Detering F, Grattapaglia D, Kilian A (2011) Diversity Arrays Technology (DArT) and next generation sequencing combined: genome-wide, high throughput, highly informative genotyping for molecular breeding of Eucalyptus. BMC Proceedings 5, P54
Diversity Arrays Technology (DArT) and next generation sequencing combined: genome-wide, high throughput, highly informative genotyping for molecular breeding of Eucalyptus.Crossref | GoogleScholarGoogle Scholar |

Scurfield G, Biddiscombe EF (1966) Variation in Phalaris tuberosa L. Australian Journal of Agricultural Research 17, 17–28.
Variation in Phalaris tuberosa L.Crossref | GoogleScholarGoogle Scholar |

Trumble HC (1935) A note on the origin of ‘Toowoomba canary grass’ (Phalaris tuberosa L.). Journal of the Council for Scientific and Industrial Research (Australia) 8, 195–202.

Voshell SM, Hilu KW (2014) Canary grasses (Phalaris, Poaceae): biogeography, molecular dating and the role of floret structure in dispersal. Molecular Ecology 23, 212–224.
Canary grasses (Phalaris, Poaceae): biogeography, molecular dating and the role of floret structure in dispersal.Crossref | GoogleScholarGoogle Scholar | 24206057PubMed |

Voshell SM, Baldini RM, Kumar R, Tatalovich N, Hilu KW (2011) Canary grasses (Phalaris, Poaceae): molecular phylogenetics, polyploidy and floret evolution. Taxon 60, 1306–1316.
Canary grasses (Phalaris, Poaceae): molecular phylogenetics, polyploidy and floret evolution.Crossref | GoogleScholarGoogle Scholar |

Wright S (1978) ‘Evolution and the genetics of populations. Vol. 4. Variability within and among natural populations.’ (University of Chicago Press: Chicago, IL, USA)

Xiong Y, Xiong Y, Jia S, Ma X (2020) The complete chloroplast genome sequencing and comparative analysis of reed canary grass (Phalaris arundinacea) and hardinggrass (P. aquatica). Plants 9, 748
The complete chloroplast genome sequencing and comparative analysis of reed canary grass (Phalaris arundinacea) and hardinggrass (P. aquatica).Crossref | GoogleScholarGoogle Scholar |