Literature DB >> 28226236

New Strategies and Tools in Quantitative Genetics: How to Go from the Phenotype to the Genotype.

Christos Bazakos1, Mathieu Hanemian1, Charlotte Trontin1, José M Jiménez-Gómez1, Olivier Loudet1.   

Abstract

Quantitative genetics has a long history in plants: It has been used to study specific biological processes, identify the factors important for trait evolution, and breed new crop varieties. These classical approaches to quantitative trait locus mapping have naturally improved with technology. In this review, we show how quantitative genetics has evolved recently in plants and how new developments in phenotyping, population generation, sequencing, gene manipulation, and statistics are rejuvenating both the classical linkage mapping approaches (for example, through nested association mapping) as well as the more recently developed genome-wide association studies. These strategies are complementary in most instances, and indeed, one is often used to confirm the results of the other. Despite significant advances, an emerging trend is that the outcome and efficiency of the different approaches depend greatly on the genetic architecture of the trait in the genetic material under study.

Keywords:  GWAS; QTL; RIL; genetic architecture; phenotype

Mesh:

Year:  2017        PMID: 28226236     DOI: 10.1146/annurev-arplant-042916-040820

Source DB:  PubMed          Journal:  Annu Rev Plant Biol        ISSN: 1543-5008            Impact factor:   26.379


  26 in total

Review 1.  A systematic analysis of apple root resistance traits to Pythium ultimum infection and the underpinned molecular regulations of defense activation.

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Journal:  Hortic Res       Date:  2020-05-01       Impact factor: 6.793

Review 2.  Rapid gene cloning in cereals.

Authors:  Jan Bettgenhaeuser; Simon G Krattinger
Journal:  Theor Appl Genet       Date:  2018-10-19       Impact factor: 5.699

Review 3.  Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective.

Authors:  Keiichi Mochida; Satoru Koda; Komaki Inoue; Takashi Hirayama; Shojiro Tanaka; Ryuei Nishii; Farid Melgani
Journal:  Gigascience       Date:  2019-01-01       Impact factor: 6.524

4.  Cumulative and different genetic effects contributed to yield heterosis using maternal and paternal backcross populations in Upland cotton.

Authors:  Lingling Ma; Yumei Wang; Babar Ijaz; Jinping Hua
Journal:  Sci Rep       Date:  2019-03-08       Impact factor: 4.379

5.  Kernel size-related genes revealed by an integrated eQTL analysis during early maize kernel development.

Authors:  Junling Pang; Junjie Fu; Na Zong; Jing Wang; Dandan Song; Xia Zhang; Cheng He; Ting Fang; Hongwei Zhang; Yunliu Fan; Guoying Wang; Jun Zhao
Journal:  Plant J       Date:  2019-01-25       Impact factor: 6.417

Review 6.  ABA Metabolism and Homeostasis in Seed Dormancy and Germination.

Authors:  Naoto Sano; Annie Marion-Poll
Journal:  Int J Mol Sci       Date:  2021-05-11       Impact factor: 5.923

Review 7.  Chlorophyll Fluorescence Video Imaging: A Versatile Tool for Identifying Factors Related to Photosynthesis.

Authors:  Thilo Rühle; Bennet Reiter; Dario Leister
Journal:  Front Plant Sci       Date:  2018-01-30       Impact factor: 5.753

Review 8.  Fine mapping and gene cloning in the post-NGS era: advances and prospects.

Authors:  Deepa Jaganathan; Abhishek Bohra; Mahendar Thudi; Rajeev K Varshney
Journal:  Theor Appl Genet       Date:  2020-02-10       Impact factor: 5.699

9.  Natural variation at XND1 impacts root hydraulics and trade-off for stress responses in Arabidopsis.

Authors:  Ning Tang; Zaigham Shahzad; Fabien Lonjon; Olivier Loudet; Fabienne Vailleau; Christophe Maurel
Journal:  Nat Commun       Date:  2018-09-24       Impact factor: 14.919

Review 10.  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

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