Genetic variability in maize and teosinte populations estimated by microsatellites markers

Terra, Tatiana de Freitas; Wiethölter, Paula; Silva, Sérgio Delmar dos Anjos e; Bered, Fernanda; Sereno, Maria Jane Cruz de Melo; Neto, José Fernandes Barbosa

doi:10.1590/s0103-84782011005000005

Cited by 9 publications

(7 citation statements)

References 24 publications

(27 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The level of polymorphism was similar to those reported by Wiethölter et al (2008), who detected 2.7 alleles per locus in the analysis of 33 microsatellite loci in maize, and Le Clere et al (2005), who analyzed 133 maize cultivars using 51 microsatellite loci and obtained 2.9 alleles per locus on average. In contrast, in the studies by Menkir et al (2004), Adeyemo et al (2011), andTerra et al (2011), the number of alleles ranged from 3.7 to 5.7 per locus. These authors attributed such high polymorphism to the level of divergence found within the genotypes evaluated in conjunction with the pre-selection of the primers that was based on the number and quality of the amplification products.…”

Section: Resultsmentioning

confidence: 83%

“…Terra et al (2011) and Adeyemo et al (2011) also reported the efficiency of microsatellite markers in studies of genetic diversity. However, even highly polymorphic molecular markers allow for negative correlation of genetic diversity with heterosis, which is explained by the absence of dominance, the fact that allelic frequencies of parental lines are not negatively correlated, the fact that markers are not associated with a quantitative trait locus (QTL) for the character, and because the productivity does not have high heritability.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Genetic diversity in elite inbred lines of maize and its association with heterosis

Fernandes¹,

Schuster²,

Scapim³

et al. 2015

Genet. Mol. Res.

View full text Add to dashboard Cite

ABSTRACT. The objective of the current study was to apply molecular markers (microsatellites) in the analysis of genetic diversity of 48 lines of the elite maize germplasm stored in the bank of the Cooperativa Central de Pesquisa Agrícola -Coodetec, PR, Brazil, and estimate the correlation between genetic distance and heterosis and hybrid performance from the crosses among these maize lines. Fortyfour random primers were used and amplification of 124 polymorphic fragments was obtained. The expected findings from the correlation of the yield and heterosis with the genetic distance were non-significant. However, the results suggested that data from the extreme distances could be used in breeding for more productive crosses and heterotic hybrids. Thereby, molecular markers are efficient tools for predicting hybrid performance.

show abstract

Section: Resultsmentioning

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Genetic diversity in elite inbred lines of maize and its association with heterosis

Fernandes¹,

Schuster²,

Scapim³

et al. 2015

Genet. Mol. Res.

View full text Add to dashboard Cite

show abstract

“…Over the last several years, sweet corn production improvements in Brazil have consisted of obtaining hybrids (Kwiatkowski et al, 2011) and assessing diverse germplasm (Almeida et al, 2011;Terra et al, 2011) to form a broad genetic basis for local farmers. Information about genetic diversity in corn is essential to germplasm characterization and utilization (Gerdes and Tracy, 1994;Kashiani et al, 2012;Liu et al, 2003;Nigussie and Saleh, 2007;Revilla et al, 2005;Srdić et al, 2011;Tracy et al, 2000;Yousef and Juvik, 2001), particularly among the sul germplasm from southern Brazil (Amorin et al, 2003;Barbosa-Neto et al, 2005;Bered et al, 2005;Rupp et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity assessed by microsatellite markers in sweet corn cultivars

Lopes

Scapim

Machado

et al. 2015

Sci. agric. (Piracicaba, Braz.)

View full text Add to dashboard Cite

Information on genetic diversity is essential to the characterization and utilization of germplasm. The genetic diversity of twenty-two sweet corn cultivars (seventeen open-pollinated varieties, OPV, and five hybrids, H) was investigated by applying simple sequence repeat markers. A total of 257 primers were tested, of which 160 were found to be usable in terms of high reproducibility for all the samples tested; 45 were polymorphic loci, of which 30 were used to assess the genetic diversity of sweet corn cultivars. We detected a total of 86 alleles using 30 microsatellite primers. The mean polymorphism was 82 %. The Lili hybrid was the most distant cultivar, as revealed by Principal Coordinates Analysis and the NJ tree. This study on genetic diversity will be useful for planning future studies on sweet corn genetic resources and can complement the breeding programs for this crop.

show abstract

“…SSR features high reproducibility, accuracy, and discrimination. Owing to their specificity and ease of detection, SSRs are one of the main markers used to characterize the genetic resources of plants via the genotyping of germplasm collections and analysis of genetic diversity (Adeyemo et al, 2011;Terra et al, 2011). AFLP is a nearly ideal system because it allows the assessment of genetic diversity across individuals, populations, and species (Laborda et al, 2005;Hartings et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity in the germplasm of tropical maize landraces determined using molecular markers

Molin¹,

Coelho²,

Máximo³

et al. 2013

Genet. Mol. Res.

View full text Add to dashboard Cite

ABSTRACT. Maize landraces derived from tropical germplasm represent an important source of genetic variability, which is currently poorly understood and under-exploited by Brazilian crop breeding programs. The aims of our study were to a) estimate the genetic diversity across 48 varieties of maize landraces cultivated at different locations in the States of Rio Grande do Sul (RS) and Paraná (PR) by means of random amplified polymorphic DNA (RAPD), simple sequence repeat (SSR), and amplified fragment length polymorphism (AFLP) markers; b) cluster these varieties based on their genetic similarity estimates, and c) establish possible correlations between genetic similarity and germplasm collection sites. Maize landrace accessions were genotyped through the 30 RAPD, 47 SSR, and 25 combinations of AFLP primers. The results revealed high levels of variability across landraces within and between collection sites. AFLP analysis resulted in amplification of 762 polymorphic fragments and a polymorphic index of 40.3%, followed by RAPD with 335 fragments (81.9%) and SSR with 105 fragments (78.3%). The genetic similarity estimates of the investigated landraces ranged from 41 (SSR) to 74% (AFLP), and the amplitudes of these indices were notably similar between RAPD and SSR, as well as between AFLP and joint analysis. Regarding the RAPD and AFLP dendrograms, groups comprising accessions from RS prevailed, whereas SSR comprised varieties from both collection sites. Groups exclusive to RS or PR support the hypothesis that divergence between groups is possible owing to the fixation of regional adaptation alleles and to spatial barriers hindering genetic flow between locations.

show abstract

Genetic variability in maize and teosinte populations estimated by microsatellites markers

Abstract: Wild species are important sources of genetic variability and may be exploited by breeding programs. Crosses between teosinte and maize occur freely and teosinte serves as genetic source of agronomic traits for introduction in maize.

Cited by 9 publications

References 24 publications

Genetic diversity in elite inbred lines of maize and its association with heterosis

Genetic diversity in elite inbred lines of maize and its association with heterosis

Genetic diversity assessed by microsatellite markers in sweet corn cultivars

Genetic diversity in the germplasm of tropical maize landraces determined using molecular markers

Contact Info

Product

Resources

About