Literature DB >> 16208501

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

H Budak1, R C Shearman, O Gulsen, I Dweikat.   

Abstract

Characterizing and inferring the buffalograss [Buchloe dactyloides (Nutt.) Engelm.] genome organization and its relationship to geographic distribution are among the purposes of the buffalograss breeding and genetics program. This buffalograss study was initiated to: (1) better understand the buffalograss ploidy complex using various marker systems representing nuclear and organelle genomes; (2) determine whether the geographic distribution was related to nuclear and organelle genome variation; and (3) compare the genetic structure of accessions with different ploidy levels. The 20 buffalograss genotypes (15 individuals from each genotype) that were studied included diploid, tetraploid, pentaploid, and hexaploid using nuclear (intersimple sequence repeat (ISSRs), simple sequence repeat (SSRs), sequence related amplified polymorphism (SRAPs), and random amplified polymorphic DNA (RAPDs)) and cytoplasmic markers (mtDNA and cpDNA). There was a significant correlation between the ploidy levels and number of alleles detected using nuclear DNA (ISSR, SSR, and SRAP, r = 0.39, 0.39, and 0.41, P<0.05, respectively), but no significant correlation was detected when mitochondrial (r = 0.17, P<0.05) and chloroplast (r = 0.11, P < 0.05) DNA data sets were used. The geographic distribution of buffalograss was not correlated with nuclear and organelle genome variation for the genotypes studied. Among the total populations sampled, regression analysis indicated that geographic distance could not explain genetic differences between accessions. However, genetic distances of those populations from the southern portion of buffalograss adaptation were significantly correlated with geographic distance (r= 0.48, P<0.05). This result supports the hypothesis that genetic relationship among buffalograss populations cannot be estimated based only on geographic proximity.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16208501     DOI: 10.1007/s00122-005-0083-3

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  17 in total

1.  Tracing evolutionary and developmental implications of mitochondrial stoichiometric shifting in the common bean.

Authors:  M Arrieta-Montiel; A Lyznik; M Woloszynska; H Janska; J Tohme; S Mackenzie
Journal:  Genetics       Date:  2001-06       Impact factor: 4.562

Review 2.  The role of phylogenetics in comparative genetics.

Authors:  Douglas E Soltis; Pamela S Soltis
Journal:  Plant Physiol       Date:  2003-08       Impact factor: 8.340

3.  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

4.  Stomatal size in fossil plants: evidence for polyploidy in majority of angiosperms.

Authors:  J Masterson
Journal:  Science       Date:  1994-04-15       Impact factor: 47.728

5.  Glacial refugia: hotspots but not melting pots of genetic diversity.

Authors:  Rémy J Petit; Itziar Aguinagalde; Jacques-Louis de Beaulieu; Christiane Bittkau; Simon Brewer; Rachid Cheddadi; Richard Ennos; Silvia Fineschi; Delphine Grivet; Martin Lascoux; Aparajita Mohanty; Gerhard Müller-Starck; Brigitte Demesure-Musch; Anna Palmé; Juan Pedro Martín; Sarah Rendell; Giovanni G Vendramin
Journal:  Science       Date:  2003-06-06       Impact factor: 47.728

6.  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

7.  Phylogenetic relationships of turfgrasses as revealed by restriction fragment analysis of chloroplast DNA.

Authors:  M Yaneshita; T Ohmura; T Sasakuma; Y Ogihara
Journal:  Theor Appl Genet       Date:  1993-10       Impact factor: 5.699

8.  Phylogenetic analysis of the Triticeae (Poaceae) based on rpoA sequence data.

Authors:  G Petersen; O Seberg
Journal:  Mol Phylogenet Evol       Date:  1997-04       Impact factor: 4.286

9.  Characterisation of microsatellite markers from sugarcane (Saccharum sp.), a highly polyploid species.

Authors: 
Journal:  Plant Sci       Date:  2000-06-29       Impact factor: 4.729

10.  Evolution of Buchloë dactyloides based on cloning and sequencing of matK, rbcL, and cob genes from plastid and mitochondrial genomes.

Authors:  Hikmet Budak; Robert C Shearman; Ismail Dweikat
Journal:  Genome       Date:  2005-06       Impact factor: 2.166

View more
  10 in total

1.  Polyploidy creates higher diversity among Cynodon accessions as assessed by molecular markers.

Authors:  Osman Gulsen; Songul Sever-Mutlu; Nedim Mutlu; Metin Tuna; Osman Karaguzel; Robert C Shearman; Terrance P Riordan; Tiffany M Heng-Moss
Journal:  Theor Appl Genet       Date:  2009-02-20       Impact factor: 5.699

2.  Elucidating genetic relationships, diversity and population structure among the Turkish female figs.

Authors:  Hatice Ikten; Nedim Mutlu; Osman Gulsen; Hilmi Kocatas; Uygun Aksoy
Journal:  Genetica       Date:  2009-08-27       Impact factor: 1.082

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

Authors:  Feifei Wu; Junhan Chen; Jianli Wang; Xianguo Wang; Yan Lu; Yaming Ning; Yongxiang Li
Journal:  3 Biotech       Date:  2019-02-20       Impact factor: 2.406

4.  Genome-wide profiling and analysis of Festuca arundinacea miRNAs and transcriptomes in response to foliar glyphosate application.

Authors:  Turgay Unver; Mine Bakar; Robert C Shearman; Hikmet Budak
Journal:  Mol Genet Genomics       Date:  2010-03-06       Impact factor: 3.291

5.  A large-scale chromosome-specific SNP discovery guideline.

Authors:  Bala Ani Akpinar; Stuart Lucas; Hikmet Budak
Journal:  Funct Integr Genomics       Date:  2016-11-29       Impact factor: 3.410

6.  Functional features of a single chromosome arm in wheat (1AL) determined from its structure.

Authors:  Stuart J Lucas; Hana Šimková; Jan Šafář; Irena Jurman; Federica Cattonaro; Sonia Vautrin; Arnaud Bellec; Hélène Berges; Jaroslav Doležel; Hikmet Budak
Journal:  Funct Integr Genomics       Date:  2011-09-03       Impact factor: 3.410

7.  Exploring the heat-responsive chaperones and microsatellite markers associated with terminal heat stress tolerance in developing wheat.

Authors:  Ranjeet R Kumar; Suneha Goswami; Mohammad Shamim; Kavita Dubey; Khushboo Singh; Shweta Singh; Yugal K Kala; Ravi R K Niraj; Akshay Sakhrey; Gyanendra P Singh; Monendra Grover; Bhupinder Singh; Gyanendra K Rai; Anil K Rai; Viswanathan Chinnusamy; Shelly Praveen
Journal:  Funct Integr Genomics       Date:  2017-06-01       Impact factor: 3.410

8.  Assessment of genetic diversity of Bermudagrass (Cynodon dactylon) using ISSR markers.

Authors:  Tayebeh Mohammadi Farsani; Nematollah Etemadi; Badraldin Ebrahim Sayed-Tabatabaei; Majid Talebi
Journal:  Int J Mol Sci       Date:  2011-12-29       Impact factor: 5.923

9.  Mapping QTLs conferring salt tolerance and micronutrient concentrations at seedling stagein wheat.

Authors:  Babar Hussain; Stuart James Lucas; Levent Ozturk; Hikmet Budak
Journal:  Sci Rep       Date:  2017-11-15       Impact factor: 4.379

10.  Retrotransposon-based genetic diversity of Deschampsia antarctica Desv. from King George Island (Maritime Antarctic).

Authors:  Piotr Androsiuk; Katarzyna J Chwedorzewska; Justyna Dulska; Sylwia Milarska; Irena Giełwanowska
Journal:  Ecol Evol       Date:  2020-12-16       Impact factor: 2.912

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.