Literature DB >> 32051590

The strength and pattern of natural selection on gene expression in rice.

Simon C Groen1, Irina Ćalić2, Zoé Joly-Lopez1, Adrian E Platts1, Jae Young Choi1, Mignon Natividad3, Katherine Dorph1, William M Mauck4, Bernadette Bracken1,4, Carlo Leo U Cabral3, Arvind Kumar3, Rolando O Torres3, Rahul Satija1,4, Georgina Vergara3, Amelia Henry3, Steven J Franks2, Michael D Purugganan5,6.   

Abstract

Levels of gene expression underpin organismal phenotypes1,2, but the nature of selection that acts on gene expression and its role in adaptive evolution remain unknown1,2. Here we assayed gene expression in rice (Oryza sativa)3, and used phenotypic selection analysis to estimate the type and strength of selection on the levels of more than 15,000 transcripts4,5. Variation in most transcripts appears (nearly) neutral or under very weak stabilizing selection in wet paddy conditions (with median standardized selection differentials near zero), but selection is stronger under drought conditions. Overall, more transcripts are conditionally neutral (2.83%) than are antagonistically pleiotropic6 (0.04%), and transcripts that display lower levels of expression and stochastic noise7-9 and higher levels of plasticity9 are under stronger selection. Selection strength was further weakly negatively associated with levels of cis-regulation and network connectivity9. Our multivariate analysis suggests that selection acts on the expression of photosynthesis genes4,5, but that the efficacy of selection is genetically constrained under drought conditions10. Drought selected for earlier flowering11,12 and a higher expression of OsMADS18 (Os07g0605200), which encodes a MADS-box transcription factor and is a known regulator of early flowering13-marking this gene as a drought-escape gene11,12. The ability to estimate selection strengths provides insights into how selection can shape molecular traits at the core of gene action.

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Year:  2020        PMID: 32051590     DOI: 10.1038/s41586-020-1997-2

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  30 in total

1.  Gene regulatory networks and the role of robustness and stochasticity in the control of gene expression.

Authors:  Lesley T Macneil; Albertha J M Walhout
Journal:  Genome Res       Date:  2011-02-04       Impact factor: 9.043

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Review 3.  Comparative studies of gene expression and the evolution of gene regulation.

Authors:  Irene Gallego Romero; Ilya Ruvinsky; Yoav Gilad
Journal:  Nat Rev Genet       Date:  2012-06-18       Impact factor: 53.242

4.  Fitness effects of altering gene expression noise in Saccharomyces cerevisiae.

Authors:  Fabien Duveau; Andrea Hodgins-Davis; Brian Ph Metzger; Bing Yang; Stephen Tryban; Elizabeth A Walker; Tricia Lybrook; Patricia J Wittkopp
Journal:  Elife       Date:  2018-08-20       Impact factor: 8.140

5.  Functional characterization of OsMADS18, a member of the AP1/SQUA subfamily of MADS box genes.

Authors:  Fabio Fornara; Lucie Parenicová; Giuseppina Falasca; Nilla Pelucchi; Simona Masiero; Stefano Ciannamea; Zenaida Lopez-Dee; Maria Maddalena Altamura; Lucia Colombo; Martin M Kater
Journal:  Plant Physiol       Date:  2004-08-06       Impact factor: 8.340

6.  Multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions.

Authors:  Anne Plessis; Christoph Hafemeister; Olivia Wilkins; Zennia Jean Gonzaga; Rachel Sarah Meyer; Inês Pires; Christian Müller; Endang M Septiningsih; Richard Bonneau; Michael Purugganan
Journal:  Elife       Date:  2015-11-26       Impact factor: 8.140

7.  Genomic analysis of QTLs and genes altering natural variation in stochastic noise.

Authors:  Jose M Jimenez-Gomez; Jason A Corwin; Bindu Joseph; Julin N Maloof; Daniel J Kliebenstein
Journal:  PLoS Genet       Date:  2011-09-29       Impact factor: 5.917

8.  Systems genetics of complex traits in Drosophila melanogaster.

Authors:  Julien F Ayroles; Mary Anna Carbone; Eric A Stone; Katherine W Jordan; Richard F Lyman; Michael M Magwire; Stephanie M Rollmann; Laura H Duncan; Faye Lawrence; Robert R H Anholt; Trudy F C Mackay
Journal:  Nat Genet       Date:  2009-02-22       Impact factor: 38.330

9.  Selection to minimise noise in living systems and its implications for the evolution of gene expression.

Authors:  Ben Lehner
Journal:  Mol Syst Biol       Date:  2008-03-04       Impact factor: 11.429

10.  Breeding high-yielding drought-tolerant rice: genetic variations and conventional and molecular approaches.

Authors:  Arvind Kumar; Shalabh Dixit; T Ram; R B Yadaw; K K Mishra; N P Mandal
Journal:  J Exp Bot       Date:  2014-09-09       Impact factor: 6.992

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  19 in total

1.  Genes of the RAV Family Control Heading Date and Carpel Development in Rice.

Authors:  Michela Osnato; Luis Matias-Hernandez; Andrea Elizabeth Aguilar-Jaramillo; Martin M Kater; Soraya Pelaz
Journal:  Plant Physiol       Date:  2020-06-18       Impact factor: 8.340

Review 2.  Understanding Past, and Predicting Future, Niche Transitions based on Grass Flowering Time Variation.

Authors:  Jill C Preston; Siri Fjellheim
Journal:  Plant Physiol       Date:  2020-05-13       Impact factor: 8.340

3.  Evolutionary systems biology reveals patterns of rice adaptation to drought-prone agro-ecosystems.

Authors:  Simon C Groen; Zoé Joly-Lopez; Adrian E Platts; Mignon Natividad; Zoë Fresquez; William M Mauck; Marinell R Quintana; Carlo Leo U Cabral; Rolando O Torres; Rahul Satija; Michael D Purugganan; Amelia Henry
Journal:  Plant Cell       Date:  2022-02-03       Impact factor: 11.277

Review 4.  Using phenotypic plasticity to understand the structure and evolution of the genotype-phenotype map.

Authors:  Luis-Miguel Chevin; Christelle Leung; Arnaud Le Rouzic; Tobias Uller
Journal:  Genetica       Date:  2021-10-06       Impact factor: 1.633

5.  Detecting signatures of selection on gene expression.

Authors:  Christopher R Cooney; Alison E Wright; Peter D Price; Daniela H Palmer Droguett; Jessica A Taylor; Dong Won Kim; Elsie S Place; Thea F Rogers; Judith E Mank
Journal:  Nat Ecol Evol       Date:  2022-05-12       Impact factor: 19.100

Review 6.  Advancing crop genomics from lab to field.

Authors:  Michael D Purugganan; Scott A Jackson
Journal:  Nat Genet       Date:  2021-05-06       Impact factor: 38.330

7.  High-depth resequencing of 312 accessions reveals the local adaptation of foxtail millet.

Authors:  Congcong Li; Genping Wang; Haiquan Li; Guoliang Wang; Jian Ma; Xin Zhao; Linhe Huo; Liquan Zhang; Yanmiao Jiang; Jiewei Zhang; Guiming Liu; Guoqing Liu; Ruhong Cheng; Jianhua Wei; Lei Yao
Journal:  Theor Appl Genet       Date:  2021-02-10       Impact factor: 5.699

8.  Sustainable agriculture in the era of omics: knowledge-driven crop breeding.

Authors:  Qing Li; Jianbing Yan
Journal:  Genome Biol       Date:  2020-06-26       Impact factor: 13.583

9.  Local adaptation contributes to gene expression divergence in maize.

Authors:  Jennifer Blanc; Karl A G Kremling; Edward Buckler; Emily B Josephs
Journal:  G3 (Bethesda)       Date:  2021-02-09       Impact factor: 3.154

10.  Rapid evolutionary changes in gene expression in response to climate fluctuations.

Authors:  Elena Hamann; Christopher S Pauli; Zoé Joly-Lopez; Simon C Groen; Joshua S Rest; Nolan C Kane; Michael D Purugganan; Steven J Franks
Journal:  Mol Ecol       Date:  2020-08-29       Impact factor: 6.622

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