Genetic linkage map of cassava (<i>Manihot esculenta</i>Crantz) based on AFLP and SSR markers

Kunkeaw, Suparat; Tangphatsornruang, Sithichoke; Smith, Duncan R.; Triwitayakorn, Kanokporn

doi:10.1111/j.1439-0523.2009.01623.x

Cited by 41 publications

(29 citation statements)

References 13 publications

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“…Microsatellites or SSR (simple sequence repeats), as codominant and highly polymorphic markers, have been widely used in cassava studies on crop origin, on phylogenetic relationships and domestication (Olsen and Schaal 1999;Olsen 2004), on genetic map construction (Mba et al 2001;Kunkeaw et al 2010), and on breeding (Okogbenin and Fregene 2002). Several studies have focused on genetic diversity in cassava from tropical countries Fregene et al 2003;Moyib et al 2007;Rocha et al 2008;Raji et al 2009), including a few studies in Brazil (Mühlen et al 2000;Peroni et al 2007;Siqueira et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Microsatellite Polymorphisms in Cassava Landraces from the Cerrado Biome, Mato Grosso do Sul, Brazil

Siqueira

Pinheiro²,

Borges³

et al. 2010

Biochem Genet

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Using nine microsatellite loci, we investigated genetic structure and diversity in 83 Brazilian cassava accessions, including several landraces, in the Cerrado biome in Mato Grosso do Sul, Brazil. All nine loci were polymorphic, averaging 6.00 alleles per locus. Treating each of seven municipalities as a cassava group or population, they averaged 3.5 alleles per locus, with 97% polymorphic loci, high values for observed heterozygosity (0.32) and gene diversity (0.56). Total genetic variability was high (0.668), and most of this genetic variability was concentrated within municipalities (0.577). Cluster and structure analyses divided accessions into two major clusters or populations (K = 2). Also, a significant genetic versus geographic correlation was found (r = 0.4567; P < 0.0260). Migratory routes in the Cerrado are considered main contributors to the region's high cassava diversity and spatial genetic structure, amplifying interactions between traditional farmers and the evolutionary dynamics of this crop.

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Section: Introductionmentioning

confidence: 99%

Microsatellite Polymorphisms in Cassava Landraces from the Cerrado Biome, Mato Grosso do Sul, Brazil

Siqueira

Pinheiro²,

Borges³

et al. 2010

Biochem Genet

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“…QTLs have not yet been comprehensively investigated in J. curcas , and no genetic map has been published for this species. In contrast, a genetic linkage maps does exist for cassava (Okogbenin et al 2006 ;Lokko et al 2007 ;Kunkeaw et al 2010 ) .…”

Section: Genetic Markers and Mapsmentioning

confidence: 77%

Towards the Domestication of Jatropha: The Integration of Sciences

Carels

2012

Jatropha, Challenges for a New Energy Crop

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N. Carels approximately 170 known species. Recent phylogenetic studies in the genus Jatropha based on random ampli fi ed polymorphic DNA (RAPD), ampli fi ed fragment length polymorphisms (AFLP, Vos et al. 1995 ) and nuclear ribosomal-DNA internal transcribed spacer (nrDNA ITS) markers (Sudheer et al. 2009a ) showed that J. curcas is genetically more similar to J. integerrima Jacq. than to any other species of genus Jatropha .J. curcas is a stem-succulent deciduous tree of ~5 m in height that produces seeds rich in oil (27-40%). Crude oil of J. curcas meets the fuel quality standards of rapeseed and can be easily converted into biodiesel that meets US and European standards by transesteri fi cation.J. curcas is currently considered as undomesticated; its physiology and agronomy remain to be clari fi ed, and thus seed yield is poorly predictable (Ginwal et al. 2004 ) . However, in the interval of just 3 years from 2007 to 2010, great efforts have been made by the scienti fi c community, particularly in India, to gather data on the genetic diversity and interspeci fi c hybridization of this species, as well as from analyses using the complete range of available biotechnologies, including in vitro propagation, tissue culture, genetic transformation, transcriptome description and genome sequencing. Forward and reverse genomics approaches are now beginning to be employed in J. curcas research.The twenty-fi rst century is witnessing an unprecedented level of scienti fi c integration, which in the case of biology, has led to the concept of systems biology . This concept can be de fi ned as the study of the interactions between the components of biological systems and how these interactions give rise to the functioning and behavior of that system. In the case of genetics, the system also includes the environment of the biological entity under consideration because it conditions the spectrum of stimuli that are used to score the genome performance. As a consequence, systems biology implies high-throughput technologies of data collection, information technology for data management and mathematical modeling.Genetic correlations can initially be investigated by examining domesticated crops as an entity that represents a particular mode of the expression of a plant species. Related to this notion, there is a common suite of traits known as the "domestication syndrome" (Doebley et al. 2006 ;Tang et al. 2010 ) , which represents the kind of complexity that is appropriate to the new perspective that plant breeding must be addressed with the support of systems biology.Here, I propose to discuss the current knowledge and emerging technologies available from model crops with the underlying prospect of their application to the selective breeding of J. curcas . Mating SystemJ. curcas is monoecious, with separate male and female fl owers, and is a predominantly outbreeding species, as shown by its high abortion rate, low seed-ovule ratio, low fecundity rate, high pollinator attractiveness, delayed stigma receptive

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“…DNA samples were diluted to obtain a final concentration of 50 ng µL -1 . A set of 20 microsatellite markers identified and characterized in previous studies (Chavarriaga-Aguirre et al, 1998;Mba et al, 2001, Kunkeaw et al, 2010Sraphet et al, 2011) were used to genotype the sweet cassava accessions (Table 2). PCR reactions were performed using 50 ng µL -1 of DNA; 0.25 mM of each deoxyribonucleotide (dATP, dCTP, dGTP and dTTP); 1.5 mM of MgCl2; 10 mM of 10x PCR Buffer, 0.08 μM of each primer (forward and reverse), 1 U of Taq DNA polymerase enzyme and add ultrapure water to achieve a total volume of 25 µL.…”

Section: Dna Extractionmentioning

confidence: 99%

Genetic diversity and population structure of traditional sweet cassava accessions from Southern of Minas Gerais State, Brazil, using microsatellite markers

Tiago¹,

Pedro²,

Maria³

et al. 2017

Afr. J. Biotechnol.

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Sweet cassava is a food culture of great importance because it is a source of nutrition and energy for millions of people in tropical and sub-tropical regions. For that reason, genetic diversity and population structure studies are necessary in order to obtain more information regarding the evaluated genotypes, reassuring their use in future breeding programs. The objective of this study was to evaluate the genetic diversity and population structure of 51 traditional sweet cassava accessions collected in the Southern of Minas Gerais State, Brazil, using 20 microsatellite markers. All markers used to genotype the 51 sweet cassava accessions were polymorphic (PIC = 0.4080). Four sub-populations were identified using different methods (Bayesian analysis and multivariate analysis). The PhiPT (analogous Wright Fst) index of 0.073 indicated a moderated genetic variability among the studied traditional sweet cassava accessions. The dissimilarity index ranged from 0.097 to 0.560. Among the most divergent accessions stands out BGM 690, BGM 655 and BGM 660, which are the most recommended for obtaining a heterosis in order to increase yield production.

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Genetic linkage map of cassava (Manihot esculentaCrantz) based on AFLP and SSR markers

Cited by 41 publications

References 13 publications

Microsatellite Polymorphisms in Cassava Landraces from the Cerrado Biome, Mato Grosso do Sul, Brazil

Microsatellite Polymorphisms in Cassava Landraces from the Cerrado Biome, Mato Grosso do Sul, Brazil

Towards the Domestication of Jatropha: The Integration of Sciences

Genetic diversity and population structure of traditional sweet cassava accessions from Southern of Minas Gerais State, Brazil, using microsatellite markers

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