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Assessment of recent bottlenecks and estimation of effective population size in the Ethiopian wild sorghum using simple sequence repeat allele diversity and mutation models

Published online by Cambridge University Press:  02 February 2015

Asfaw Adugna*
Affiliation:
Melkassa Agricultural Research Center, PO Box 1085, Adama, Ethiopia Department of Microbial, Cellular and Molecular Biology, College of Natural Sciences, Addis Ababa University, PO Box 1176, Addis Ababa, Ethiopia
Endashaw Bekele
Affiliation:
Department of Microbial, Cellular and Molecular Biology, College of Natural Sciences, Addis Ababa University, PO Box 1176, Addis Ababa, Ethiopia
*
*Corresponding author. E-mail: [email protected]

Abstract

Since the immediate wild relatives of Sorghum bicolor (L.) Moench are indigenous to Ethiopia, studying their population biology is timely for undertaking conservation measures. A study was conducted to investigate the occurrence of population bottlenecks and to estimate the long-term effective population size (Ne) in wild relatives of sorghum. For this, 40 samples of wild sorghum were collected from two remotely located populations that were allopatric to the cultivated sorghum. The presence of bottlenecks was investigated using heterozygosity excess/deficiency, mode shift and allelic diversity based on nine polymorphic simple sequence repeat (SSR) loci. We also estimated the Ne of the studied populations using two different methods employing SSR mutation models. The expected heterozygosity was found to be 0.41 and 0.71 and allelic richness was 3.0 and 4.9, in Awash and Gibe populations, respectively. Neither the heterozygosity excess nor the mode-shift methods detected signatures of bottlenecks in the studied populations. The effective size of the two wild sorghum populations studied also showed no risk of population reduction in these regions of Ethiopia. Therefore, these allopatric wild sorghum populations can survive by occupying patches by the roadsides and fences, areas within abandoned farm lands, forests, etc., which shows that their wild characteristics of adaptation have been adequate for them to survive from extinction despite extensive deforestation of their habitat for modern agriculture and frequent grazing by livestock. However, this does not guarantee the survival of these species for the future and ex situ conservation measures or policies could help maintain their diversity.

Type
Research Article
Copyright
Copyright © NIAB 2015 

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References

Adugna, A, Snow, AA and Sweeney, P (2011) Optimization of a high throughput, cost effective and all-stage DNA extraction protocol for sorghum. Journal of Agricultural Science and Technology USA 5: 243250.Google Scholar
Adugna, A, Snow, AA, Sweeney, PM, Bekele, E and Mutegi, E (2013) Population genetic structure of in situ wild Sorghum bicolor in its Ethiopian center of origin based on SSR markers. Genetic Resources and Crop Evolution 60: 13131328.CrossRefGoogle Scholar
Aldrich, PR, Doebley, J, Schertz, KF and Stec, A (1992) Patterns of allozyme variation in cultivated and wild Sorghum bicolor . Theoretical and Applied Genetics 85: 451460.Google Scholar
Beerli, P (2009) How to use MIGRATE or why are Markov chain Monte Carlo programs difficult to use? In: Bertorelle, G, Bruford, MW, Hauffe, HC, Rizzoli, A and Vernesi, C (eds) Population Genetics for Animal Conservation. New York: Cambridge University Press, pp. 4279.Google Scholar
Bhattramakki, D, Dong, J, Chhabra, AK and Hart, GE (2000) An integrated SSR and RFLP linkage map of Sorghum bicolor (L.) Moench. Genome 43: 9881002.Google Scholar
Björklund, M (2003) Test for a population expansion after a drastic reduction in population size using DNA sequence data. Heredity 91: 481486.Google Scholar
Botstein, D, White, RL, Skolnick, M and Davis, RW (1980) Construction of a genetic linkage map in man using restriction fragment length polymorphisms. American Journal of Human Genetics 32: 314331.Google Scholar
Brown, SM, Hopkins, MS, Mitchell, SE, Senior, ML, Wang, TY, Duncan, RR, Gonzalez-Candelas, F and Kresovich, S (1996) Multiple methods for the identification of polymorphic simple sequence repeats (SSRs) in sorghum [Sorghum bicolor (L.) Moench]. Theoretical and Applied Genetics 93: 190198.Google Scholar
Busch, JD, Waser, PM and DeWoody, AJ (2007) Recent demographic bottlenecks are not accompanied by a genetic signature in banner-tailed kangaroo rats Dipodomys spectabilis . Molecular Ecology 16: 24502462. doi:10.1111/j.1365-294X.2007.03283.x.CrossRefGoogle Scholar
Chan, YL, Anderson, CNK and Hadly, EA (2006) Bayesian estimation of the timing and severity of a population bottleneck from ancient DNA. PLoS Genetics 2: e59. doi: 10.1371/journal.pgen.0020059 .Google Scholar
Cornuet, JM and Luikart, G (1996) Description and power analysis for two tests for detecting recent population bottlenecks from allele frequency data. Genetics 144: 20012014.Google Scholar
de Wet, JMJ (1978) Systematics and evolution of sorghum sect. Sorghum (Gramineae). American Journal of Botany 65: 477484.Google Scholar
Dempster, AP, Laird, NM and Rubin, DB (1977) Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society of Britain 39: 138.Google Scholar
Di Rienzo, A, Peterson, AC, Garza, JC, Valdes, AM, Slatkin, M and Freimer, NB (1994) Mutational processes of simple-sequence repeat loci in human populations. Proceedings of the National Academy of Sciences USA 91: 31663170.Google Scholar
Ellegren, H (2000) Microsatellite mutations in the germline: implications for evolutionary inference. Trends in Genetics 16: 551558.Google Scholar
Ellstrand, NC, Prentice, HC and Hancock, JF (1999) Gene flow and introgression from domesticated plants into their wild relatives. Annual Reviews in Ecology and Evolutionary Systematics 30: 539563.Google Scholar
Espeland, EK and Rice, KJ (2010) Ecological effects on estimates of effective population size in an annual plant. Biological Conservation 143: 946951.Google Scholar
Felsenstein, J (2007) Theoretical Evolutionary Genetics. Seattle: University of Washington.Google Scholar
Gaggiotti, OE, Lange, O, Rassmann, K and Gliddon, C (1999) A comparison of two indirect methods for estimating average levels of gene flow using microsatellite data. Molecular Ecology 8: 15131520.Google Scholar
Garza, JC and Williamson, EG (2001) Detection of reduction in population size using data from microsatellite loci. Molecular Ecology 10: 305318.Google Scholar
Goudet, J (2002) FSTAT, version 2.932. Switzerland: Institute of Ecology, UNIL.Google Scholar
Hartl, DL and Clark, AG (1989) Principles of Population Genetics. Sunderland: Sinauer Associates.Google Scholar
Hoelzel, AR (2009) Evolution of population genetic structure in marine mammal species. In: Bertorelle, G, Bruford, MW, Hauffe, HC, Rizzoli, A and Vernesi, C (eds) Population Genetics for Animal Conservation. New York: Cambridge University Press, pp. 294318.Google Scholar
Hurlbert, SH (1971) The non-concept of species diversity: a critique and alternative parameters. Ecology 52: 577586.Google Scholar
Kalinowski, ST (2004) Counting alleles with rarefaction: private alleles and hierarchical sampling designs. Conservation and Genetics 5: 539543.Google Scholar
Kalinowski, S (2005) HP-RARE 10: a computer program for performing rarefaction on measures of allelic richness. Molecular Ecology 5: 187189.Google Scholar
Kimura, M and Crow, JF (1964) The number of alleles that can be maintained in a finite population. Genetics 4: 725738.Google Scholar
Lawler, R (2008) Testing for a historical population bottleneck in wild Verreaux's sifaka (Propithecus verreauxi verreauxi) using microsatellite data. American Journal of Primatology 70: 15.Google Scholar
Leberg, PL (1992) Effects of population bottlenecks on genetic diversity as measured by allozyme electrophoresis. Evolution 46: 477494.Google Scholar
Li, M, Yuyama, N, Luo, L, Hirata, M and Cai, H (2009) In silico mapping of 1758 new SSR markers developed from public genomic sequences for sorghum. Molecular Breeding 24: 4147.Google Scholar
Liu, K and Muse, SV (2005) PowerMarker: integrated analysis environment for genetic marker data. Bioinformatics 21: 21282129.Google Scholar
Luikart, G and Cornuet, JM (1998) Empirical evaluation of a test for identifying recently bottlenecked populations from allele frequency data. Conservation Biology 12: 228237.Google Scholar
Luikart, G, Allendorf, FW, Cornuet, JM and Sherwin, WB (1998) Distortion of allele frequency distributions provides a test for recent population bottlenecks. Journal of Heredity 89: 238247.Google Scholar
Muraya, MM, Sagnard, F and Parzies, HK (2010) Investigation of recent population bottlenecks in Kenyan wild sorghum populations (Sorghum bicolor (L.) Moench ssp. verticilliflorum (Steud.) De Wet) based on microsatellite diversity and genetic disequilibria. Genetic Resources and Crop Evolution 57: 9951005.Google Scholar
Nei, M (1973) Analysis of genetic diversity in subdivided populations. Proceedings of the National Academy of Sciences USA 70: 33213323.Google Scholar
Nei, M (1987) Molecular Evolutionary Genetics. New York: Columbia University Press.Google Scholar
Nei, M, Maruyama, T and Chakraborty, R (1975) Bottleneck effect and genetic variability in populations. Evolution 29: 110.Google Scholar
Ohta, T and Kimura, M (1973) The model of mutation appropriate to estimate the number of electrophoretically detectable alleles in a genetic population. Genetic Research Cambridge 22: 201204.Google Scholar
Parisod, C, Trippi, C and Galland, N (2005) Genetic variability and founder effect in the pitcher plant Sarracenia purpurea (Sarraceniaceae) in populations introduced into Switzerland: from inbreeding to invasion. Annals of Botany 95: 277286.Google Scholar
Rousset, F (2008) Genepop'007: a complete re-implementation of the GENEPOP software for Windows and Linux. Molecular Ecology Resources 8: 103106.Google Scholar
Stemler, ABL, Harlan, JR and De Wet, JMJ (1977) The sorghums of Ethiopia. Economic Botany 31: 446460.Google Scholar
Taramino, G, Tarchini, R, Ferrario, S, Lee, M and Pe, ME (1997) Characterization and mapping of simple sequence repeats (SSRs) in Sorghum bicolor . Theoretical and Applied Genetics 95: 6672.Google Scholar
Thuillet, AC, Bataillon, T, Poirier, S, Santoni, S and David, JL (2005) Estimation of long-term effective population sizes through the history of durum wheat using microsatellite data. Genetics 169: 15891599.Google Scholar
Vigouroux, Y, Jaqueth, JS, Matsuoka, Y, Smith, OS, Beavis, WD, Stephen, J, Smith, C and Doebley, J (2002) Rate and pattern of mutation at microsatellite loci in maize. Molecular Biology and Evolution 19: 12511260.Google Scholar
Wang, ML, Zhu, C, Barkley, NA, Chen, Z, Erpelding, JE, Murray, SC, Tuinstra, MR, Tesso, T, Pederson, GA and Yu, J (2009) Genetic diversity and population structure analysis of accessions in the US historic sweet sorghum collection. Theoretical and Applied Genetics 120: 1323.Google Scholar
Zietsman, J, Dreyer, LL and Esler, KJ (2008) Reproductive biology and ecology of selected rare and endangered Oxalis L. (Oxalidaceae) plant species. Biological Conservation 141: 14751483.Google Scholar
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