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Genetic diversity and adaptive variations under static and dynamic management: a case of rice landraces from parts of Odisha in India

Published online by Cambridge University Press:  08 October 2013

M. Logapriyan ,
I. S. Bisht ,
K. V. Bhat  and
D. Pani
M. Logapriyan
Affiliation:
National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi110 012, India
I. S. Bisht*
Affiliation:
National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi110 012, India
K. V. Bhat
Affiliation:
National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi110 012, India
D. Pani
Affiliation:
National Bureau of Plant Genetic Resources, Base Centre, CRRI Campus, Cuttack, Odisha753 006, India
*
* Corresponding author. E-mail: bishtis@nbpgr.ernet.in, bishtis@rediffmail.com
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Abstract

In the present study, inter- and intrapopulation diversity of five named rice landraces from parts of Odisha state of India representing static and dynamic management was examined using 14 sequence-tagged microsatellite site primer pairs. A total of 64 alleles were detected in ten populations of the five named landraces. The number of alleles ranged from 2 to 7, with an average of 4.57 alleles per locus. Of the 64 alleles, 60 were common and four were rare. Moderate-to-low diversity was observed in the landrace populations, with the number of alleles per population ranging from 16 to 25 and the percentage of polymorphism ranging from 14.29 to 64.29, respectively. The analysis of molecular variance indicated a highest variation of 75.7% among populations within groups (static vs. dynamic). The pairwise estimates of FST revealed very high significant population differentiation, which ranged from 0.68 to 0.89, indicating that the populations share limited genetic diversity among them. However, not many variations were observed in the phenotypes of populations representing static and dynamic management. This shows that adaptations of a population apparently persist over generations, but the underlying genotypes change and new alleles or combinations may arise and increase in frequency at the expense of other alleles that have disappeared. The importance of population biology research for in situ conservation requires both descriptive and hypothesis testing to guide technical improvement and management of landrace populations.

Keywords

adaptive variationsOryza sativa Lpopulation structurerice landracesstatic and dynamic management
Type
Research Article
Information
Plant Genetic Resources , Volume 12 , Issue 2 , August 2014 , pp. 170 - 177
Copyright
Copyright © NIAB 2013 

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References

Bioversity International, IRRI and WARDA(2007) Descriptors for Wild and Cultivated Rice (Oryza spp.). Rome/Los Banos/Cotonou: Bioversity International/International Rice Research Institute/WARDA, Africa Rice Center.Google Scholar
Breese, EL (1989) Regeneration and Multiplication of Germplasm Resources in Seed Gene Banks: The Scientific Background. Rome: IBPGR.Google Scholar
Brown, AHD (2000) The genetic structure of crop landraces and the challenge to conserve them in situ on farms. In: Brush, SB (ed.) Genes in the Field: On-farm Conservation of Crop Diversity. International Plant Genetic Resources Institute (IPGRI)/International Development Research Centre (IDRC)/Lewis Publishers, Boca Raton, FL, USA, pp. 29–48.Google Scholar
Brown, AHD, Brubaker, CL and Grace, JP (1997) Regeneration of germplasm samples: wild versus cultivated plant species. Crop Science 37: 7–13.Google Scholar
Brush, SB (1991) A farmer-based approach to conserving crop germplasm. Economic Botany 45: 153–165.Google Scholar
Brush, SB (1995) In situ conservation of landraces in centres of crop diversity. Crop Science 35: 346–354.Google Scholar
Brush, SB (2000) The issues of in situ conservation of crop genetic resources. In: Brush, SB (ed.) Genes in the Field: On-farm Conservation of Crop Genetic Diversity. International Development Research Centre (IDRC)/International Plant Genetic Resources Institute (IPGRI)/Lewis Publishers, Boca Raton, FL, USA, pp. 3–28.Google Scholar
Cohen, JI, Williams, JT, Plucknett, DL and Shands, H (1991) Ex situ conservation of plant genetic resources: global development and environmental concerns. Science 253: 866–872.Google Scholar
Excoffier, L and Lischer, HEL (2010) Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Molecular Ecology Resources 10: 564–567.Google Scholar
Frankel, OH, Brown, AHD and Burdon, JJ (1995) The Conservation of Plant Biodiversity. Cambridge University Press, UPH, Shaftesbury Road Cambridge CB2 8BS, UK.Google Scholar
Jan SJK (2002) PIC calculator. Available at http://www.liv.ac.uk/~kempsj/pic.html . Google Scholar
Jarvis, DI, Myer, L, Klemick, H, Guarino, L, Smale, M, Brown, AHD, Sadiki, M, Sthapit, B and Hodgkin, T (2000) A Training Guide for In Situ Conservation On-farm, Version 1. Rome: International Plant Genetic Resources Institute.Google Scholar
Kimura, M (1968) Evolutionary rate at the molecular level. Nature 217: 624–626.Google Scholar
Kimura, M (1991) The neutral theory of molecular evolution: a review of recent evidence. Japanese Journal of Genetics 66: 367–386.Google Scholar
Kumar, S, Bisht, IS and Bhat, KV (2010) Population structure of rice (Oryza sativa) landraces under farmer management. Annals of Applied Biology 156: 137–146.Google Scholar
Kumar, S, Pandey, A, Bisht, IS, Bhat, KV and Mehta, PS (2010) Diversity among different populations of a rice (Oryza sativa L.) landrace from north-western Indian Himalayas. Plant Genetic Resources: Characterization and Utilization 8: 151–158.Google Scholar
Louette, D, Charrier, A and Berthaud, J (1997) In situ conservation of maize in Mexico: genetic diversity and maize seed management in a traditional community. Economic Botany 51: 20–38.Google Scholar
MacArthur, RH and Wilson, EO (1967) The Theory of Island Biogeography. Princeton, NJ: Princeton University Press.Google Scholar
Marshall, DR (1989) Crop genetic resources: current and emerging issues. In: Brown, AHD, Clegg, MT, Kahler, AL and Weir, BS (eds) Plant Population Genetics, Breeding and Genetic Resources. Sunderland, MA: Sinauer and Associates, Inc.Google Scholar
Maxted, N, Ford-Lloyd, BY and Hawkes, JG (1997) Complementary conservation strategies. In: Maxted, N, Ford-Lloyd, BV and Hawkes, JG (eds) Plant Genetic Conservation: The In Situ Approach. London: Chapman & Hall.Google Scholar
Pandey, A, Bisht, IS and Bhat, KV (2012) Population structure of rice (Oryza sativa) landraces from high altitude area of Indian Himalayas. Annals of Applied Biology 160: 16–24.Google Scholar
Pandey, A, Bisht, IS, Bhat, KV and Mehta, PS (2011) Role of informal seed system in promoting landrace diversity and their on-farm conservation: a case study of rice in Indian Himalayas. Genetic Resources and Crop Evolution 58: 1213–1224.Google Scholar
Plucknett, DL, Smith, NJ, Williams, JT and Anishetty, NM (1987) Genebanks and the World's Food. Princeton, NJ: Princeton University Press, p. 247.Google Scholar
Pusadee, T, Jamjod, S, Chiang, YC, Rerkasem, B and Schaal, BA (2009) Genetic structure and isolation by distance in a landrace of Thai rice. PNAS 106: 13880–13885.Google Scholar
Qualset, CO, Damania, AB, Zanatta, ACA and Brush, SB (1997) Locally-based crop plant conservation. In: Maxted, N, Ford-Lloyd, BV and Hawkes, JG (eds) Plant Genetic Conservation: The In Situ Approach. London: Chapman and Hall.Google Scholar
Rohlf, FJ (2000) NTSYS-PC Version 2.02j. Setauket, NY: Exeter Software.Google Scholar
Saghai-Maroof, MA, Soliman, KM, Jorgensen, RA and Allard, RW (1984) Ribosomal DNA spacer-length polymorphism in barley: Mendelian inheritance, chromosomal location and population dynamics. PNAS 81: 8014–8018.Google Scholar
Sreejayan Kumar, US, Varghese, G, Jacob, TM and Thomas, G (2011) Stratification and population structure of the genetic resources of ancient medicinal rice (Oryza sativa L.) landrace Njavara. Genetic Resources and Crop Evolution 58: 697–711.Google Scholar
Weir, BS and Cockerham, CC (1984) Estimating F-statistics for the analysis of population structure. Evolution 38: 1358–1370.Google Scholar
Yeh, FC, Yang, RC, Boyle, TBJ, Ye, ZH and Mao, JX (2000) POPGENE 32, Microsoft Windows-based Software for Population Genetic Analysis (Version 1.32). Edmonton, AB: Molecular Biology and Biotechnology Centre, University of Albert.Google Scholar
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