Literature DB >> 22265229

Lessons from eQTL mapping studies: non-coding regions and their role behind natural phenotypic variation in plants.

Francisco A Cubillos1, Vincent Coustham, Olivier Loudet.   

Abstract

Even if considerable progress has been achieved towards the understanding of natural variation in plant systems, the contribution of transcript abundance variation to phenotypic diversity remains unappreciated. Over the last decade, efforts to characterise the genome-wide expression variation in natural accessions, structured populations and hybrids have improved our knowledge of the contribution of non-coding polymorphisms to gene expression regulation. Moreover, new studies are helping to unravel the role of expression polymorphisms and their orchestrated performance. Recent advances involving classical linkage analysis, GWAS and improved eQTL mapping strategies will provide a greater resolution to determine the genetic variants shaping the broad diversity in plant systems.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22265229     DOI: 10.1016/j.pbi.2012.01.005

Source DB:  PubMed          Journal:  Curr Opin Plant Biol        ISSN: 1369-5266            Impact factor:   7.834


  32 in total

1.  Exploiting Differential Gene Expression and Epistasis to Discover Candidate Genes for Drought-Associated QTLs in Arabidopsis thaliana.

Authors:  John T Lovell; Jack L Mullen; David B Lowry; Kedija Awole; James H Richards; Saunak Sen; Paul E Verslues; Thomas E Juenger; John K McKay
Journal:  Plant Cell       Date:  2015-04-14       Impact factor: 11.277

2.  Validating Genome-Wide Association Candidates Controlling Quantitative Variation in Nodulation.

Authors:  Shaun J Curtin; Peter Tiffin; Joseph Guhlin; Diana I Trujillo; Liana T Burghart; Paul Atkins; Nicholas J Baltes; Roxanne Denny; Daniel F Voytas; Robert M Stupar; Nevin D Young
Journal:  Plant Physiol       Date:  2017-01-05       Impact factor: 8.340

3.  eQTL Regulating Transcript Levels Associated with Diverse Biological Processes in Tomato.

Authors:  Aashish Ranjan; Jessica M Budke; Steven D Rowland; Daniel H Chitwood; Ravi Kumar; Leonela Carriedo; Yasunori Ichihashi; Kristina Zumstein; Julin N Maloof; Neelima R Sinha
Journal:  Plant Physiol       Date:  2016-07-14       Impact factor: 8.340

Review 4.  Exploiting budding yeast natural variation for industrial processes.

Authors:  Francisco A Cubillos
Journal:  Curr Genet       Date:  2016-04-16       Impact factor: 3.886

5.  Extensive cis-regulatory variation robust to environmental perturbation in Arabidopsis.

Authors:  Francisco A Cubillos; Oliver Stegle; Cécile Grondin; Matthieu Canut; Sébastien Tisné; Isabelle Gy; Olivier Loudet
Journal:  Plant Cell       Date:  2014-11-26       Impact factor: 11.277

6.  Expression quantitative trait locus mapping across water availability environments reveals contrasting associations with genomic features in Arabidopsis.

Authors:  David B Lowry; Tierney L Logan; Luca Santuari; Christian S Hardtke; James H Richards; Leah J DeRose-Wilson; John K McKay; Saunak Sen; Thomas E Juenger
Journal:  Plant Cell       Date:  2013-09-17       Impact factor: 11.277

7.  Predicting gene function from uncontrolled expression variation among individual wild-type Arabidopsis plants.

Authors:  Rahul Bhosale; Jeremy B Jewell; Jens Hollunder; Abraham J K Koo; Marnik Vuylsteke; Tom Michoel; Pierre Hilson; Alain Goossens; Gregg A Howe; John Browse; Steven Maere
Journal:  Plant Cell       Date:  2013-08-13       Impact factor: 11.277

8.  Modern Approaches for Transcriptome Analyses in Plants.

Authors:  Diego Mauricio Riaño-Pachón; Hector Fabio Espitia-Navarro; John Jaime Riascos; Gabriel Rodrigues Alves Margarido
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

9.  Evaluation of the utility of gene expression and metabolic information for genomic prediction in maize.

Authors:  Zhigang Guo; Michael M Magwire; Christopher J Basten; Zhanyou Xu; Daolong Wang
Journal:  Theor Appl Genet       Date:  2016-09-01       Impact factor: 5.699

10.  Genetical and comparative genomics of Brassica under altered Ca supply identifies Arabidopsis Ca-transporter orthologs.

Authors:  Neil S Graham; John P Hammond; Artem Lysenko; Sean Mayes; Seosamh O Lochlainn; Bego Blasco; Helen C Bowen; Chris J Rawlings; Juan J Rios; Susan Welham; Pierre W C Carion; Lionel X Dupuy; Graham J King; Philip J White; Martin R Broadley
Journal:  Plant Cell       Date:  2014-07-31       Impact factor: 11.277

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