Literature DB >> 24309540

Emerging technologies advancing forage and turf grass genomics.

David Kopecký1, Bruno Studer2.   

Abstract

Grassland is of major importance for agricultural production and provides valuable ecosystem services. Its impact is likely to rise in changing socio-economic and climatic environments. High yielding forage grass species are major components of sustainable grassland production. Understanding the genome structure and function of grassland species provides opportunities to accelerate crop improvement and thus to mitigate the future challenges of increased feed and food demand, scarcity of natural resources such as water and nutrients, and high product qualities. In this review, we will discuss a selection of technological developments that served as main drivers to generate new insights into the structure and function of nuclear genomes. Many of these technologies were originally developed in human or animal science and are now increasingly applied in plant genomics. Our main goal is to highlight the benefits of using these technologies for forage and turf grass genome research, to discuss their potentials and limitations as well as their relevance for future applications.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cytogenetics; Epigenetics; Flow cytometry; Forage and turf grasses; Genome zipper; Genome-wide association studies (GWAS); Genotyping by sequencing (GBS); Next generation sequencing (NGS); QTL analysis; Transcriptome sequencing

Mesh:

Year:  2013        PMID: 24309540     DOI: 10.1016/j.biotechadv.2013.11.010

Source DB:  PubMed          Journal:  Biotechnol Adv        ISSN: 0734-9750            Impact factor:   14.227


  8 in total

1.  Validation of Genotyping-By-Sequencing Analysis in Populations of Tetraploid Alfalfa by 454 Sequencing.

Authors:  Solen Rocher; Martine Jean; Yves Castonguay; François Belzile
Journal:  PLoS One       Date:  2015-06-26       Impact factor: 3.240

2.  Fluorescence chromosome banding and FISH mapping in perennial ryegrass, Lolium perenne L.

Authors:  Helal A Ansari; Nicholas W Ellison; Shalome A Bassett; Syed W Hussain; Gregory T Bryan; Warren M Williams
Journal:  BMC Genomics       Date:  2016-11-25       Impact factor: 3.969

Review 3.  Toward Genomics-Based Breeding in C3 Cool-Season Perennial Grasses.

Authors:  Shyamal K Talukder; Malay C Saha
Journal:  Front Plant Sci       Date:  2017-07-26       Impact factor: 5.753

4.  A Novel Multivariate Approach to Phenotyping and Association Mapping of Multi-Locus Gametophytic Self-Incompatibility Reveals S, Z, and Other Loci in a Perennial Ryegrass (Poaceae) Population.

Authors:  Daniel Thorogood; Steven Yates; Chloé Manzanares; Leif Skot; Matthew Hegarty; Tina Blackmore; Susanne Barth; Bruno Studer
Journal:  Front Plant Sci       Date:  2017-08-02       Impact factor: 5.753

5.  Exploiting repetitive sequences and BAC clones in Festuca pratensis karyotyping.

Authors:  Joanna Majka; Tomasz Książczyk; Agnieszka Kiełbowicz-Matuk; David Kopecký; Arkadiusz Kosmala
Journal:  PLoS One       Date:  2017-06-07       Impact factor: 3.240

6.  Evolutionary Dynamics of the Repeatome Explains Contrasting Differences in Genome Sizes and Hybrid and Polyploid Origins of Grass Loliinae Lineages.

Authors:  María Fernanda Moreno-Aguilar; Luis A Inda; Aminael Sánchez-Rodríguez; Itziar Arnelas; Pilar Catalán
Journal:  Front Plant Sci       Date:  2022-07-01       Impact factor: 6.627

7.  Phylogenomics and Systematics of Overlooked Mesoamerican and South American Polyploid Broad-Leaved Festuca Grasses Differentiate F. sects. Glabricarpae and Ruprechtia and F. subgen. Asperifolia, Erosiflorae, Mallopetalon and Coironhuecu (subgen. nov.).

Authors:  María Fernanda Moreno-Aguilar; Luís A Inda; Aminael Sánchez-Rodríguez; Pilar Catalán; Itziar Arnelas
Journal:  Plants (Basel)       Date:  2022-09-02

8.  Limitation of Grassland Productivity by Low Temperature and Seasonality of Growth.

Authors:  Astrid Wingler; Deirdre Hennessy
Journal:  Front Plant Sci       Date:  2016-07-27       Impact factor: 5.753

  8 in total

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