Literature DB >> 30800608

Intra-population genetic diversity of Buchloe dactyloides (Nutt.) Engelm (buffalograss) determined using morphological traits and sequence-related amplified polymorphism markers.

Feifei Wu1, Junhan Chen1, Jianli Wang2, Xianguo Wang1, Yan Lu1, Yaming Ning1, Yongxiang Li1.   

Abstract

Genetic variation and diversity are prerequisites for improvement of buffalograss breeding. To assess the within-population genetic diversity of buffalograss, seven morphological traits were evaluated to confirm the variations at the morphological level. The principal component analysis revealed that leaf length, leaf width and stolon branches had a significant contribution to the total variation. The first three principle components showed 72.55% variation. The DNA analysis performed using SRAP primers was used for deducing the diversity at the DNA level. A total of 125 bands were obtained with 8 selected SRAP primer pairs, of which 119 (95.2%) were polymorphic. The polymorphic information content ranged from 0.94 to 0.97 with a mean of 0.96; the marker index ranged from 10.34 to 18.43 with an average value of 14.28. The individuals were successfully assigned to two major groups according to sex in the PCoA and UPGMA dendrogram based on SRAP data, while the individuals could not be grouped based on morphological traits, and the two markers were not significantly correlated (r = 0.0753, P = 0.8489 > 0.05). The molecular data revealed that sex is a critical factor and that female and monoecious plants could be chosen as parents to breed new varieties.

Entities:  

Keywords:  Buffalograss; Genetic variation; Morphological traits; Plant sex; SRAP markers

Year:  2019        PMID: 30800608      PMCID: PMC6385059          DOI: 10.1007/s13205-019-1632-9

Source DB:  PubMed          Journal:  3 Biotech        ISSN: 2190-5738            Impact factor:   2.406


  15 in total

1.  Molecular characterization of Buffalograss germplasm using sequence-related amplified polymorphism markers.

Authors:  H Budak; R C Shearman; I Parmaksiz; R E Gaussoin; T P Riordan; I Dweikat
Journal:  Theor Appl Genet       Date:  2003-09-13       Impact factor: 5.699

2.  Comparative analysis of seeded and vegetative biotype buffalograsses based on phylogenetic relationship using ISSRs, SSRs, RAPDs, and SRAPs.

Authors:  H Budak; R C Shearman; I Parmaksiz; I Dweikat
Journal:  Theor Appl Genet       Date:  2004-03-16       Impact factor: 5.699

3.  RAPD variation within and among natural populations of outcrossing buffalograss [Buchloë dactyloides (Nutt.) Engelm].

Authors:  D R Huff; R Peakall; P E Smouse
Journal:  Theor Appl Genet       Date:  1993-09       Impact factor: 5.699

4.  Understanding ploidy complex and geographic origin of the Buchloe dactyloides genome using cytoplasmic and nuclear marker systems.

Authors:  H Budak; R C Shearman; O Gulsen; I Dweikat
Journal:  Theor Appl Genet       Date:  2005-11-10       Impact factor: 5.699

Review 5.  Markers and mapping revisited: finding your gene.

Authors:  Neil Jones; Helen Ougham; Howard Thomas; Izolda Pašakinskienė
Journal:  New Phytol       Date:  2009-07-08       Impact factor: 10.151

Review 6.  Development and use of molecular markers: past and present.

Authors:  Atul Grover; P C Sharma
Journal:  Crit Rev Biotechnol       Date:  2014-11-28       Impact factor: 8.429

7.  MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

Authors:  Sudhir Kumar; Glen Stecher; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2016-03-22       Impact factor: 16.240

8.  Speciation in reverse: morphological and genetic evidence of the collapse of a three-spined stickleback (Gasterosteus aculeatus) species pair.

Authors:  E B Taylor; J W Boughman; M Groenenboom; M Sniatynski; D Schluter; J L Gow
Journal:  Mol Ecol       Date:  2006-02       Impact factor: 6.185

9.  Genetic diversity of a germplasm collection of Cucurbita pepo using SRAP and AFLP markers.

Authors:  M Ferriol; B Picó; F Nuez
Journal:  Theor Appl Genet       Date:  2003-03-19       Impact factor: 5.699

10.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

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