Literature DB >> 23218243

A census of cells in time: quantitative genetics meets developmental biology.

Daniel H Chitwood1, Neelima R Sinha.   

Abstract

Quantitative genetics has become a popular method for determining the genetic basis of natural variation. Combined with genomic methods, it provides a tool for discerning the genetic basis of gene expression. So-called genetical genomics approaches yield a wealth of genomic information, but by necessity, because of cost and time, fail to resolve the differences between organs, tissues, and/or cell types. Similarly, quantitative approaches in development that might potentially address these issues are seldom applied to quantitative genetics. We discuss recent advances in cell type-specific isolation methods, the quantitative analysis of phenotype, and developmental modeling that are compatible with quantitative genetics and, with time, promise to bridge the gap between these two powerful disciplines yielding unprecedented biological insight.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 23218243     DOI: 10.1016/j.pbi.2012.11.003

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


  6 in total

1.  Resolving distinct genetic regulators of tomato leaf shape within a heteroblastic and ontogenetic context.

Authors:  Daniel H Chitwood; Aashish Ranjan; Ravi Kumar; Yasunori Ichihashi; Kristina Zumstein; Lauren R Headland; Enrique Ostria-Gallardo; José A Aguilar-Martínez; Susan Bush; Leonela Carriedo; Daniel Fulop; Ciera C Martinez; Jie Peng; Julin N Maloof; Neelima R Sinha
Journal:  Plant Cell       Date:  2014-09-30       Impact factor: 11.277

2.  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

3.  Dynamic transcriptomic profiles between tomato and a wild relative reflect distinct developmental architectures.

Authors:  Daniel H Chitwood; Julin N Maloof; Neelima R Sinha
Journal:  Plant Physiol       Date:  2013-04-12       Impact factor: 8.340

4.  A quantitative genetic basis for leaf morphology in a set of precisely defined tomato introgression lines.

Authors:  Daniel H Chitwood; Ravi Kumar; Lauren R Headland; Aashish Ranjan; Michael F Covington; Yasunori Ichihashi; Daniel Fulop; José M Jiménez-Gómez; Jie Peng; Julin N Maloof; Neelima R Sinha
Journal:  Plant Cell       Date:  2013-07-19       Impact factor: 11.277

Review 5.  Navigating the transcriptional roadmap regulating plant secondary cell wall deposition.

Authors:  Steven G Hussey; Eshchar Mizrachi; Nicky M Creux; Alexander A Myburg
Journal:  Front Plant Sci       Date:  2013-08-29       Impact factor: 5.753

6.  eQTLs Regulating Transcript Variations Associated with Rapid Internode Elongation in Deepwater Rice.

Authors:  Takeshi Kuroha; Keisuke Nagai; Yusuke Kurokawa; Yoshiaki Nagamura; Miyako Kusano; Hideshi Yasui; Motoyuki Ashikari; Atsushi Fukushima
Journal:  Front Plant Sci       Date:  2017-10-13       Impact factor: 5.753

  6 in total

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