Plant species delimitation: A comparison of morphological and molecular markers

Duminil, Jérôme; Michele, Michela Di

doi:10.1080/11263500902722964

Cited by 155 publications

(126 citation statements)

References 78 publications

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“…Therefore, markers independent of the environment are necessary for reliable identification and discrimination of genotypes. The superiority of molecular markers over morphological characterization in fruit species is well established and widely accepted (Ercisli et al, 2007;Zamani et al, 2007;Duminil and Di Michele, 2009).…”

Section: Introductionmentioning

confidence: 99%

Simple sequence repeat-based assessment of genetic relationships among Prunus rootstocks

Turkoglu

Bilgener²,

Erċışlı³

et al. 2010

Genet. Mol. Res.

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ABSTRACT. Ten SSR loci, previously developed for Prunus, were analyzed to examine genetic relationships among 23 rootstock candidates for sweet and sour cherries, of the species P. avium, P. cerasus, P. mahaleb, and P. angustifolia. Five genotypes of P. laurocerasus, not used as rootstock, were included in the molecular analysis. The number of alleles per locus ranged from 8 to 12, with a mean of 9, while the number of microsatellite genotypes varied from 8 to 17, indicating that the SSRs were highly informative. The degree of heterozygosity (0.61) was high. Clustering analysis resulted in two main clusters. The first cluster was divided into two subclusters; the first subcluster consisted of P. avium and P. cerasus, and the second subcluster consisted of P. laurocerasus. The second cluster was divided into two subclusters. The first subcluster consisted of P. mahaleb genotypes and the second consisted of P. angustifolia genotypes. The reference rootstocks also clustered with their associated botanical species. Unweighted pair-group method with arithmetic mean analysis demonstrated that P. laurocerasus 2157 ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 9 (4): 2156-2165 (2010) SSR analysis in Prunus rootstocks genotypes had less genetic variation and that P. avium genotypes were more closely related to P. cerasus. The SSR-based phylogeny was generally consistent with Prunus taxonomy information, suggesting the applicability of SSR analysis for genotyping and phylogenetic studies in the genus Prunus.

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Section: Introductionmentioning

confidence: 99%

Simple sequence repeat-based assessment of genetic relationships among Prunus rootstocks

Turkoglu

Bilgener²,

Erċışlı³

et al. 2010

Genet. Mol. Res.

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“…Moreover, the number of descriptors can be quite limited, thus greatly reducing the power to distinguish consanguineous varieties [142]. Molecular marker technologies have been widely applied for characterization and utilization of germplasm in genebanks [143].…”

Section: Genetic Resource Management and Utilizationmentioning

confidence: 99%

Perspectives on the Application of Next-generation Sequencing to the Improvement of Africa’s Staple Food Crops

Gedil¹,

Ferguson²,

Girma³

et al. 2016

Next Generation Sequencing - Advances, Applications and Challenges

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The persistent challenge of insufficient food, unbalanced nutrition, and deteriorating natural resources in the most vulnerable nations, characterized by fast population growth, calls for utilization of innovative technologies to curb constraints of crop production. Enhancing genetic gain by using a multipronged approach that combines conventional and genomic technologies for the development of stress-tolerant varieties with high yield and nutritional quality is necessary. The advent of nextgeneration sequencing (NGS) technologies holds the potential to dramatically impact the crop improvement process. NGS enables whole-genome sequencing (WGS) and re-sequencing, transcriptome sequencing, metagenomics, as well as high-throughput genotyping, which can be applied for genome selection (GS). It can also be applied to diversity analysis, genetic and epigenetic characterization of germplasm and pathogen detection, identification, and elimination. High-throughput phenotyping, integrated data management, and decision support tools form the necessary supporting environment for effective utilization of genome sequence information. It is important that these opportunities for mainstreaming innovative breeding strategies, enabled by cutting-edge "Omics" technologies, are seized in Africa; however, several constraints must be addressed before the benefit of NGS can be fully realized. African breeding programs must have access to high-throughput genotyping facilities, capacity in the application of genome selection and marker-assisted breeding must be built and supported by capacity in genomic analysis and bioinformatics. This chapter demonstrates how interventions with NGS-enabled innovative strategies can be applied to increase genetic gain with insights from the Consortium of International

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“…Morphological properties have been the main character used for recognition and description of plant taxa (Duminil and Michele, 2009;Dwari and Mondal, 2011). The important role of morphology is attributable to its advantageous properties such as ease of examination, has high variation, has an established descriptive terminology and its accessibility to herbarium specimens (Szczepaniak and Ciéslak, 2011).…”

Section: Ajabsmentioning

confidence: 99%

ASSESSMENT OF TAXONOMIC AFFINITY OF INDONESIAN PUMMELO (<i>CITRUS MAXIMA</i> (BURM.) MERR.) BASED ON MORPHOLOGICAL CHARACTERS

Susandarini

Subandiyah

Rugayah³

et al. 2013

American Journal of Agricultural and Biological Sciences

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Citrus maxima is a tropical fruit species with high morphological variability on fruit characters, including shape, size, thickness of peel, flesh color and taste. This variability has been used by breeders and common people to practically distinguish different pummelo cultivars. Despite such well known variation, so far there is no published study specifically addressed the extent of phenotypic variability and taxonomy of pummelo in Indonesia. This study was, therefore, aiming at assessing phenotypic variability and taxonomic affinity of Indonesian pummelo cultivars and landraces using multivariate analysis methods. A total of 60 accessions from six provinces were collected, including some representatives of registered cultivars. Twenty one morphological characters were subjected to cluster analysis and principal component analysis. Results showed that two major clusters were formed, in which each group was characterized by combination of distinctive morphological features leading to recognition of two cultivar groups. Based on the fact that the morphology of individuals from intensively cultivated orchards showed similar level of variability to those from sporadically distributed areas, there was strong indication that the morphological variation has genetic background.

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Plant species delimitation: A comparison of morphological and molecular markers

Cited by 155 publications

References 78 publications

Simple sequence repeat-based assessment of genetic relationships among Prunus rootstocks

Simple sequence repeat-based assessment of genetic relationships among Prunus rootstocks

Perspectives on the Application of Next-generation Sequencing to the Improvement of Africa’s Staple Food Crops

ASSESSMENT OF TAXONOMIC AFFINITY OF INDONESIAN PUMMELO (<i>CITRUS MAXIMA</i> (BURM.) MERR.) BASED ON MORPHOLOGICAL CHARACTERS

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