Literature DB >> 27501448

Genotypes, Networks, Phenotypes: Moving Toward Plant Systems Genetics.

Takehiko Ogura1, Wolfgang Busch1.   

Abstract

One of the central goals in biology is to understand how and how much of the phenotype of an organism is encoded in its genome. Although many genes that are crucial for organismal processes have been identified, much less is known about the genetic bases underlying quantitative phenotypic differences in natural populations. We discuss the fundamental gap between the large body of knowledge generated over the past decades by experimental genetics in the laboratory and what is needed to understand the genotype-to-phenotype problem on a broader scale. We argue that systems genetics, a combination of systems biology and the study of natural variation using quantitative genetics, will help to address this problem. We present major advances in these two mostly disconnected areas that have increased our understanding of the developmental processes of flowering time control and root growth. We conclude by illustrating and discussing the efforts that have been made toward systems genetics specifically in plants.

Keywords:  Arabidopsis; genotype to phenotype; natural variation; plants; systems biology; systems genetics

Mesh:

Year:  2016        PMID: 27501448     DOI: 10.1146/annurev-cellbio-111315-124922

Source DB:  PubMed          Journal:  Annu Rev Cell Dev Biol        ISSN: 1081-0706            Impact factor:   13.827


  8 in total

1.  PSegNet: Simultaneous Semantic and Instance Segmentation for Point Clouds of Plants.

Authors:  Dawei Li; Jinsheng Li; Shiyu Xiang; Anqi Pan
Journal:  Plant Phenomics       Date:  2022-05-23

Review 2.  A systematic analysis of apple root resistance traits to Pythium ultimum infection and the underpinned molecular regulations of defense activation.

Authors:  Yanmin Zhu; Melody Saltzgiver
Journal:  Hortic Res       Date:  2020-05-01       Impact factor: 6.793

Review 3.  CRISPR screens in plants: approaches, guidelines, and future prospects.

Authors:  Christophe Gaillochet; Ward Develtere; Thomas B Jacobs
Journal:  Plant Cell       Date:  2021-05-31       Impact factor: 12.085

4.  Gene expression networks in the Drosophila Genetic Reference Panel.

Authors:  Logan J Everett; Wen Huang; Shanshan Zhou; Mary Anna Carbone; Richard F Lyman; Gunjan H Arya; Matthew S Geisz; Junwu Ma; Fabio Morgante; Genevieve St Armour; Lavanya Turlapati; Robert R H Anholt; Trudy F C Mackay
Journal:  Genome Res       Date:  2020-03-06       Impact factor: 9.043

5.  A Computational Model for Inferring QTL Control Networks Underlying Developmental Covariation.

Authors:  Libo Jiang; Hexin Shi; Mengmeng Sang; Chenfei Zheng; Yige Cao; Xuli Zhu; Xiaokang Zhuo; Tangren Cheng; Qixiang Zhang; Rongling Wu; Lidan Sun
Journal:  Front Plant Sci       Date:  2019-12-18       Impact factor: 5.753

6.  Meta-analysis of drought-tolerant genotypes in Oryza sativa: A network-based approach.

Authors:  Sanchari Sircar; Nita Parekh
Journal:  PLoS One       Date:  2019-05-06       Impact factor: 3.240

Review 7.  A systematic analysis of apple root resistance traits to Pythium ultimum infection and the underpinned molecular regulations of defense activation.

Authors:  Yanmin Zhu; Melody Saltzgiver
Journal:  Hortic Res       Date:  2020-05-01       Impact factor: 6.793

8.  A Small RNA-Mediated Regulatory Network in Arabidopsis thaliana Demonstrates Connectivity Between phasiRNA Regulatory Modules and Extensive Co-Regulation of Transcription by miRNAs and phasiRNAs.

Authors:  Jose A Vargas-Asencio; Keith L Perry
Journal:  Front Plant Sci       Date:  2020-01-29       Impact factor: 5.753

  8 in total

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