Literature DB >> 32407310

The genetic architecture of the maize progenitor, teosinte, and how it was altered during maize domestication.

Qiuyue Chen1, Luis Fernando Samayoa2, Chin Jian Yang1, Peter J Bradbury3, Bode A Olukolu4, Michael A Neumeyer1, Maria Cinta Romay5, Qi Sun5, Anne Lorant6, Edward S Buckler3, Jeffrey Ross-Ibarra6, James B Holland2,7, John F Doebley1.   

Abstract

The genetics of domestication has been extensively studied ever since the rediscovery of Mendel's law of inheritance and much has been learned about the genetic control of trait differences between crops and their ancestors. Here, we ask how domestication has altered genetic architecture by comparing the genetic architecture of 18 domestication traits in maize and its ancestor teosinte using matched populations. We observed a strongly reduced number of QTL for domestication traits in maize relative to teosinte, which is consistent with the previously reported depletion of additive variance by selection during domestication. We also observed more dominance in maize than teosinte, likely a consequence of selective removal of additive variants. We observed that large effect QTL have low minor allele frequency (MAF) in both maize and teosinte. Regions of the genome that are strongly differentiated between teosinte and maize (high FST) explain less quantitative variation in maize than teosinte, suggesting that, in these regions, allelic variants were brought to (or near) fixation during domestication. We also observed that genomic regions of high recombination explain a disproportionately large proportion of heritable variance both before and after domestication. Finally, we observed that about 75% of the additive variance in both teosinte and maize is "missing" in the sense that it cannot be ascribed to detectable QTL and only 25% of variance maps to specific QTL. This latter result suggests that morphological evolution during domestication is largely attributable to very large numbers of QTL of very small effect.

Entities:  

Year:  2020        PMID: 32407310     DOI: 10.1371/journal.pgen.1008791

Source DB:  PubMed          Journal:  PLoS Genet        ISSN: 1553-7390            Impact factor:   5.917


  6 in total

1.  Gene network simulations provide testable predictions for the molecular domestication syndrome.

Authors:  Ewen Burban; Maud I Tenaillon; Arnaud Le Rouzic
Journal:  Genetics       Date:  2022-02-04       Impact factor: 4.402

Review 2.  Sequence modification on demand: search and replace tools for precise gene editing in plants.

Authors:  Tomáš Čermák
Journal:  Transgenic Res       Date:  2021-06-04       Impact factor: 2.788

3.  Domestication reshaped the genetic basis of inbreeding depression in a maize landrace compared to its wild relative, teosinte.

Authors:  Luis Fernando Samayoa; Bode A Olukolu; Chin Jian Yang; Qiuyue Chen; Markus G Stetter; Alessandra M York; Jose de Jesus Sanchez-Gonzalez; Jeffrey C Glaubitz; Peter J Bradbury; Maria Cinta Romay; Qi Sun; Jinliang Yang; Jeffrey Ross-Ibarra; Edward S Buckler; John F Doebley; James B Holland
Journal:  PLoS Genet       Date:  2021-12-20       Impact factor: 5.917

4.  Selective sorting of ancestral introgression in maize and teosinte along an elevational cline.

Authors:  Erin Calfee; Daniel Gates; Anne Lorant; M Taylor Perkins; Graham Coop; Jeffrey Ross-Ibarra
Journal:  PLoS Genet       Date:  2021-10-11       Impact factor: 5.917

5.  Gradual domestication of root traits in the earliest maize from Tehuacán.

Authors:  Ivan Lopez-Valdivia; Alden C Perkins; Hannah M Schneider; Miguel Vallebueno-Estrada; James D Burridge; Eduardo González-Orozco; Aurora Montufar; Rafael Montiel; Jonathan P Lynch; Jean-Philippe Vielle-Calzada
Journal:  Proc Natl Acad Sci U S A       Date:  2022-04-18       Impact factor: 12.779

Review 6.  Functional Allele Validation by Gene Editing to Leverage the Wealth of Genetic Resources for Crop Improvement.

Authors:  Michael J Thomson; Sudip Biswas; Nikolaos Tsakirpaloglou; Endang M Septiningsih
Journal:  Int J Mol Sci       Date:  2022-06-12       Impact factor: 6.208

  6 in total

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