Skip to main content
Log in

Analysis of population structure and genetic diversity reveals gene flow and geographic patterns in cultivated rice (O. sativa and O. glaberrima) in West Africa

  • Published:
Euphytica Aims and scope Submit manuscript

Abstract

To fully exploit the diversity in African rice germplasm and to broaden the gene pool reliable information on the population genetic diversity and phenotypic characteristics is a prerequisite. In this paper, the population structure and genetic diversity of 42 cultivated African rice (Oryza spp.) accessions originating from West Africa (Benin, Mali and Nigeria, Liberia etc.) were investigated using 20 simple sequence repeats (SSR) and 77 amplified fragment length polymorphisms (AFLP). Additionally, field trials were set up to gain insight into phenotypic characteristics that differentiate the genetic populations among rice accessions. The analysis revealed considerably high polymorphisms for SSR markers (PIC mean = 0.78) in the germplasm studied. A significant association was found between AFLP markers and geographic origin of rice accessions (R = 0.72). Germplasm structure showed that Oryza sativa accessions were not totally isolated from Oryza glaberrima accessions. The results allowed identification of five O. glaberrima accessions which grouped together with O. sativa accessions, sharing common alleles of 18 loci out of the 20 SSR markers analyzed. Population structure analysis revealed existence of a gene flow between O. sativa and O. glaberrima rice accessions which can be used to combine several interesting traits in breeding programs. Further studies are needed to clarify the contributions of this gene flow to valuable traits such as abiotic and biotic stresses including disease resistance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Agrama H, Yan WG, Lee F, Fjellstrom R et al (2009) Genetic assessment of a mini-core subset developed from the USDA Rice Genebank. Crop Sci 49:1336–1346

    Article  Google Scholar 

  • Ammiraju JS, Fan C, Yu Y, Song X, Cranston KA, Pontaroli AC, Lu F, Sanyal A, Jiang N, Rambo T et al (2010) Spatio-temporal patterns of genome evolution in allotetraploid species of the genus Oryza. Plant J. 63:430–442

    Article  CAS  Google Scholar 

  • Angladette A (1966) Le riz. Techniques agricoles et production tropicale. Maison neuve et La rose Ed., Paris (Ve), pp 609–669

  • Balloux F, Moulin NL (2002) The estimation of population differentiation with microsatellite markers. Mol Ecol 11:155–165

    Article  Google Scholar 

  • Barry MB, Pham JL, Noyer AJL, Billot AC, Courtois AB, Ahmad AN (2007) Genetic diversity of the two cultivated rice species (O. sativa and O. glaberrima) in maritime Guinea. Evidence for interspecifc recombination. Euphytica 154:127–137

    Article  CAS  Google Scholar 

  • Bezançon G, Diallo S (2006) Oryza glaberrima Steud. Record from Protabase. In: Brink M, Belay G (eds) PROTA (Plant Resources of Tropical Africa), Wageningen. http://database.prota.org/search.htm

  • Botstein D, White RL, Skolnick M, Davis RW (1980) Construction of a genetic linkage map in man using restriction fragment length polymorphisms. Am J Hum Genet 32:314–331

    CAS  PubMed  PubMed Central  Google Scholar 

  • Chang TT (1976) The origin, evolution, cultivation, dissemination and diversification of Asian and African rices. Euphytica 25:425–441

    Article  Google Scholar 

  • Chen C, He W, Nassirou TY, Nsabiyumva A, Dong X, Adedze YMN, Jin D (2017) Molecular characterization and genetic diversity of different genotypes of Oryza sativa and Oryza glaberrima. Electron J Biotechnol 30:48–57

    Article  CAS  Google Scholar 

  • Diniz-Filho JAF, Soares TN, Lima JS, Dobrovolski R, Landeiro VL, Telles MPC, Rangel TF, Bini LM (2013) Mantel test in population genetics. Genet Mol Biol 36:475–485

    Article  Google Scholar 

  • Dramé KN, Sanchez I, Gregorio G, Ndjiondjop MN (2011) Suitability of a selected set of simple sequence repeats (SSR) markers for multiplexing and rapid molecular characterization of African rice (Oryza glaberrima Steud). Afr J Biotechnol 10:6675–6685

    Google Scholar 

  • Earl DA, vonHoldt BM (2012) STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conserv Genet Resour 4:359–361

    Article  Google Scholar 

  • Evanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol 14:2611–2620

    Article  CAS  Google Scholar 

  • Futakuchi K, Sié M (2009) Better exploitation of African Rice (Oryza glaberrima Steud.) in varietal development for Resource-Poor Farmers in West and Central Africa. Agric J 4:96–102

    Google Scholar 

  • Ge S, Sang T, Lu BR, Hong DY (2001) Phylogeny of the genus Oryza as revealed by molecular approaches. In: Khush GS, Brar DS, Hardy B (eds) Rice genetics IV proceedings of the fourth international rice genetics symposium. IRRI, Los Banos, The Philippines, pp 89–105

    Google Scholar 

  • Idrissi O, Udupa SM, Houasli C, De Keyser E, Van Damme P, De Riek J (2015) Genetic diversity analysis of Moroccan lentil (Lens culinaris Medik.) landraces using simple sequence repeat and amplified fragment length polymorphisms reveals functional adaptation towards agro-environmental origins. Plant Breed 134:322–332

    Article  Google Scholar 

  • Jones MP, Dingkuhn M, Aluko GK, Semon M (1997) Interspecific Oryza sativa x O. glaberrima Steud. Progenies in upland rice improvement. Euphytica 92:237–246

    Article  Google Scholar 

  • Jusu MS (1999) Management of genetic variability in rice (Oryza sativa L. and O. glaberrima Steud.) by breeders and farmers in Sierra Leone. Ph.D. thesis. Wageningen University and Research Centre, Wageningen, The Netherlands

  • Kalinowski ST (2002) How many alleles per locus should be used to estimate genetic distances? Heredity 88:62–65

    Article  CAS  Google Scholar 

  • Ko HL, Cowan DC, Henry RJ, Graham GC, Blakeney AB, Lewin LG (1994) Random amplified polymorphic DNA analysis of Australian rice (Oryza sativa L.) varieties. Euphytica 80:179–189

    Article  CAS  Google Scholar 

  • Kubo M, Purevdoj M (2004) The future of rice production and consumption. JFDRS 35:128–142

    Google Scholar 

  • Linares OF (2002) African rice (Oryza glaberrima): history and future potential. Proc Natl Acad Sci USA 99:16360–16365

    Article  CAS  Google Scholar 

  • Mantel NA (1967) The detection of disease clustering and a generalized regression approach. Cancer Res 27:209–220

    CAS  PubMed  Google Scholar 

  • McCouch SR, Teytelman L, Xu Y, Lobos KB, Clare K, Walton M, Fu B, Maghirang R, Li Z, Xing Y et al (2002) Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.). DNA Res 9:199–207

    Article  CAS  Google Scholar 

  • Ming H, Fang-min X, Li-yun C, Xiang-qian Z, Jojee L, Madonna D (2010) Comparative analysis of genetic diversity and structure in rice using ILP and SSR markers. Rice Sci 17:257–268

    Article  Google Scholar 

  • Mokuwa A, Nuijten E, Okry F, Teeken B, Maat H et al (2013) Robustness and strategies of adaptation among farmer varieties of african rice (Oryza glaberrima) and Asian rice (Oryza sativa) across West Africa. PLoS ONE 8(3):e34801. https://doi.org/10.1371/journal.pone.0034801

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Morgante M, Hanafey M, Powell W (2002) Microsatellites are preferentially associated with non-repetitive DNA in plant genomes. Nat Genet 30:194–200

    Article  CAS  Google Scholar 

  • National Research Council (1996) Lost crops of Africa. Volume 1: Grains. National Academy Press, Washington, p 380

    Google Scholar 

  • Nisar M, Ghafoor A, Ahmad H, Khan MR, Qureshi AS, Ali H, Islam M (2008) Evaluation of genetic diversity of pea germplasm through phenotypic trait analysis. Pak J Bot 40:2081–2086

    Google Scholar 

  • North A, Pennanen J, Ovaskainen O, Laine AL (2011) Local adaptation in a changing world: the roles of gene-flow, mutation, and sexual reproduction. Evolution 65:79–89

    Article  Google Scholar 

  • Nuijten E, Van Treuren R, Struik PC, Mokuwa A, Okry F, Teeken B, Richards P (2009) Evidence for the emergence of new rice types of interspecific hybrid origin in West African farmers’ fields. PLoS ONE 4(10):e7335. https://doi.org/10.1371/journal.pone.0007335

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Pham JL (1992) Evaluation des ressources génétiques des riz cultivés en Afrique par hybridation intra et interspécifique. Thèse Docteur et sciences, Université de Paris XI ORSAY (France), p 236

  • Portéres R (1962) Berceaux agricoles primaires sur le continent Africain. J Afr Hist 3:195–210

    Article  Google Scholar 

  • Portères R (1956) Taxonomie Agrobotanique des Riz cultivés O. sativa Linne. et O. glaberrima Steudel. J Agric Trop Bot Appl 3:341–384

    Google Scholar 

  • Powell W, Morgante M, Andre C, Hanafey M, Vogel J, Tingey S, Rafalski A (1996) The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis. Mol Breed 2:225–238

    Article  CAS  Google Scholar 

  • Pritchard J, Stephens M, Rosenberg N, Donnelly P (2000) Association mapping in structured populations. Am J Hum Genet 67:170–181

    Article  CAS  Google Scholar 

  • Roy Choudhury D, Singh N, Singh AK, Kumar S, Srinivasan K et al (2014) Analysis of genetic diversity and population structure of rice germplasm from north-eastern region of India and development of a core germplasm set. PLoS ONE 9(11):e113094. https://doi.org/10.1371/journal.pone.0113094

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Saghai-Maroof MA, Soliman KM, Jorgensen RA, Allard RW (1984) Ribosomal spacer length polymorphisms in barley: mendelian inheritance, chromosomal location and population dynamics. Proc Natl Acad Sci USA 83:1757–1761

    Google Scholar 

  • Saghai-Maroof MA, Yang GP, Biyashev RM, Maughan PJ, Zhang Q (1996) Analysis of the barley and rice genomes by comparative RFLP linkage mapping. Theor Appl Genet 92:541–551

    Article  CAS  Google Scholar 

  • Salem KFM, Sallam A (2016) Analysis of population structure and genetic diversity of Egyptian and exotic rice (Oryza sativa L.) genotypes. C R Biol 339:1–9

    Article  Google Scholar 

  • Sanchez PL, Wing RA, Brar DS (2013) The wild relative of rice: genomes and genomics. In: Zhang Q, Wing RA (eds) Genetics and genomics of rice, plant genetics and genomics. Springer, New York, pp 9–26

    Chapter  Google Scholar 

  • Sano Y (1989) The direction of pollen flow between two co-occurring rice species, Oryza sativa and O. glaberrima. Heredity 63:353–357

    Article  Google Scholar 

  • Sarla NM, Swamy BPM (2005) Oryza glaberrima: a source for the improvement of Oryza sativa. Curr Sci 89:955–963

    Google Scholar 

  • Second G (1982) Origin of the genic diversity of cultivated rice (Oryza spp.): study of the polymorphism scored at 40 isozyme loci. Jpn J Genet 57:25–57

    Article  Google Scholar 

  • Semon M, Nielsen R, Jones MP, McCouch SR (2005) The population structure of African cultivated rice Oryza glaberrima (Steud.): evidence for elevated levels of linkage disequilibrium caused by admixture with O. sativa and ecological adaptation. Genetics 169:1639–1647

    Article  CAS  Google Scholar 

  • Sexton JP, Strauss SY, Rice KJ (2011) Gene flow increases fitness at the warm edge of a species’ range. Proc Natl Acad Sci USA 108:11704–11709

    Article  CAS  Google Scholar 

  • Shan X, Blake TK, Talbert LE (1999) Conversion of AFLP markers to sequence-specific PCR markers in barley and wheat. Theor Appl Genet 98:1072–1078

    Article  CAS  Google Scholar 

  • Sié M, Ogunbayo SA, Dakouo D, Sanou I, Dembélé Y, N’dri B, Dramé KN, Sanni KA, Toulou B, Glele RK (2010) Evaluation of intra and interspecific rice varieties adapted to valley bottom conditions in Burkina Faso. Afr J Plant Sci 4:308–318

    Google Scholar 

  • Sié M, Sanni K, Futakuchi K, Manneh B, Mandé S, Vodouhé R, Dogbe S, Dramé KN, Ogunbayo A, Ndjiondjop MN, Traoré K (2012) Towards a rational use of African rice (Oryza glaberrima Steud.) for breeding in Sub-Saharan Africa. Genes Genomes Genom 6(Special Issue 1):1–7

    Google Scholar 

  • Slatkin M (1985) Rare alleles as indicators of gene flow. Evolution 39:53–65

    Article  Google Scholar 

  • Tarang A, Gashti AB (2016) The power of microsatellite markers and AFLPs in revealing the genetic diversity of Hashemi aromatic rice from Iran. J Integr Agric 15:1186–1197

    Article  CAS  Google Scholar 

  • Teeken B, Nuijten E, Temudo MP, Okry F, Mokuwa A, Struik PC, Richards P (2012) Maintaining or abandoning African rice: lessons for understanding processes of seed innovation. Hum Ecol 40:879–892. https://doi.org/10.1007/s10745-012-9528-x

    Article  Google Scholar 

  • Temnykh S, Park WD, Ayres N, Cartinhour S, Hauck N, Lipovich L, Cho YG, Ishii T, McCouch SR (2000) Mapping and genome organization of microsatellite sequences in rice (Oryza sativa L.). Theor Appl Genet 100:697–712

    Article  CAS  Google Scholar 

  • USDA-ARS (2013) National Genetic Resources Program. Germplasm Resources Information Network - (GRIN) [Online Database]. National Germplasm Resources Laboratory, Beltsville, MA. http://www.ars-grin.gov/cgi-bin/npgs/html/tax_search.pl. Accessed 05th March 2018

  • Vaughan DA (1994) The wild relatives of rice: a genetic resources handbook. International Rice Research Institute, Manila, p 137

    Google Scholar 

  • Vieira MLC, Santini L, Diniz AL, Munhoz CF (2016) Microsatellite markers: what they mean and why they are so useful. Genet Mol Biol 39:312–328

    Article  Google Scholar 

  • Vos P, Hogers R, Bleeker M, van de Lee T, Hornes M, Frijters A, Pot J, Peleman J, Kuiper M, Zabeau M (1995) AFLP: a new technique for DNA fingerprinting. Nucl Acids Res 23:4407–4414

    Article  CAS  Google Scholar 

  • Wambugu PW, Furtado A, Waters DL, Nyamongo DO, Henry R (2013) Conservation and utilization of African Oryza genetic resources. Rice 6:29

    Article  Google Scholar 

  • Wang MH et al (2014) The genome sequence of African rice (Oryza glaberrima) and evidence for independent domestication. Nat Genet 46:982–988

    Article  CAS  Google Scholar 

  • Wright S (1951) The genetical structure of populations. Ann Hum Genet 15:323–354

    CAS  Google Scholar 

  • Wu J, Tanksley SD (1993) Abundance, polymorphism and genetic mapping of microsatellites in rice. Mol Gen Genet 241:225

    Article  CAS  Google Scholar 

  • Yelome OI, Audenaert K, Landschoot S, Dansi A, Vanhove W, Silue D, Van Damme P, Haesaert G (2018) Exploring genetic diversity and disease response of cultivated rice accessions against Pyricularia oryzae under rainfed upland conditions in Benin. Genet Resour Crop Evol 65:1615–1624

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Funding of this Research work by the Monsanto’s Beachell-Borlaug International Scholars Program (MBBIS) and the Flemish Fund for Scientific Research (BOF) with support of AfricaRice. Special thanks to the AfricaRice genebank for providing seed and the related information.

Author information

Authors and Affiliations

Authors

Contributions

OIY carried out the field works, the genotyping, data analysis and drafted the manuscript. KA participated in project design, genotyping, data analysis and revised the manuscript. SL participated in statistical analysis of data and revised the manuscript. DS, AD, WV, PVD, and GH participated in project design, data analysis and revised the manuscript.

Corresponding author

Correspondence to Sofie Landschoot.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 125 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yelome, O.I., Audenaert, K., Landschoot, S. et al. Analysis of population structure and genetic diversity reveals gene flow and geographic patterns in cultivated rice (O. sativa and O. glaberrima) in West Africa. Euphytica 214, 215 (2018). https://doi.org/10.1007/s10681-018-2285-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10681-018-2285-1

Keywords

Navigation