Literature DB >> 32072392

Resequencing 93 accessions of coffee unveils independent and parallel selection during Coffea species divergence.

Lifang Huang1,2,3, Xiaoyang Wang1,2,3, Yunping Dong1,2,3, Yuzhou Long1,2,3, Chaoyun Hao1,2,3, Lin Yan4,5,6, Tao Shi7.   

Abstract

Coffea arabica, C. canephora and C. excelsa, with differentiated morphological traits and distinct agro-climatic conditions, compose the majority of the global coffee plantation. To comprehensively understand their genetic diversity and divergence for future genetic improvement requires high-density markers. Here, we sequenced 93 accessions encompassing these three Coffea species, uncovering 15,367,960 single-nucleotide polymorphisms (SNPs). These SNPs are unequally distributed across different genomic regions and gene families, with two disease-resistant gene families showing the highest SNP density, suggesting strong balancing selection. Meanwhile, the allotetraploid C. arabica exhibits greater nucleotide diversity, followed by C. canephora and C. excelsa. Population divergence (FST), population stratification and phylogeny all support strong divergence among species, with C. arabica and its parental species C. canephora being closer genetically. Scanning of genomic islands with elevated FST and structure-disruptive SNPs contributing to species divergence revealed that most of the selected genes in each lineage are independent, with a few being selected in parallel for two or three species, such as genes in root hair cell development, flavonols accumulation and disease-resistant genes. Moreover, some of the SNPs associated with coffee lipids exhibit significantly biased allele frequency among species, being valuable for interspecific breeding. Overall, our study not only uncovers the key population genomic patterns among species but also contributes a substantial genomic resource for coffee breeding.

Entities:  

Keywords:  Coffea; Genetic diversity and divergence; Genome resequencing; Speciation

Mesh:

Substances:

Year:  2020        PMID: 32072392     DOI: 10.1007/s11103-020-00974-4

Source DB:  PubMed          Journal:  Plant Mol Biol        ISSN: 0167-4412            Impact factor:   4.076


  38 in total

1.  Introgression of self-compatibility from Coffea heterocalyx to the cultivated species Coffea canephora.

Authors:  I. Coulibaly; M. Noirot; M. Lorieux; A. Charrier; S. Hamon; J. Louarn
Journal:  Theor Appl Genet       Date:  2002-08-06       Impact factor: 5.699

Review 2.  Functional genomics of P450s.

Authors:  Mary A Schuler; Daniele Werck-Reichhart
Journal:  Annu Rev Plant Biol       Date:  2003       Impact factor: 26.379

3.  Rice pollen hybrid incompatibility caused by reciprocal gene loss of duplicated genes.

Authors:  Yoko Mizuta; Yoshiaki Harushima; Nori Kurata
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-03       Impact factor: 11.205

4.  Diversity, classification and function of the plant protein kinase superfamily.

Authors:  Melissa D Lehti-Shiu; Shin-Han Shiu
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-09-19       Impact factor: 6.237

5.  The coffee genome provides insight into the convergent evolution of caffeine biosynthesis.

Authors:  France Denoeud; Lorenzo Carretero-Paulet; Alexis Dereeper; Gaëtan Droc; Romain Guyot; Marco Pietrella; Chunfang Zheng; Adriana Alberti; François Anthony; Giuseppe Aprea; Jean-Marc Aury; Pascal Bento; Maria Bernard; Stéphanie Bocs; Claudine Campa; Alberto Cenci; Marie-Christine Combes; Dominique Crouzillat; Corinne Da Silva; Loretta Daddiego; Fabien De Bellis; Stéphane Dussert; Olivier Garsmeur; Thomas Gayraud; Valentin Guignon; Katharina Jahn; Véronique Jamilloux; Thierry Joët; Karine Labadie; Tianying Lan; Julie Leclercq; Maud Lepelley; Thierry Leroy; Lei-Ting Li; Pablo Librado; Loredana Lopez; Adriana Muñoz; Benjamin Noel; Alberto Pallavicini; Gaetano Perrotta; Valérie Poncet; David Pot; Michel Rigoreau; Mathieu Rouard; Julio Rozas; Christine Tranchant-Dubreuil; Robert VanBuren; Qiong Zhang; Alan C Andrade; Xavier Argout; Benoît Bertrand; Alexandre de Kochko; Giorgio Graziosi; Robert J Henry; Ray Ming; Chifumi Nagai; Steve Rounsley; David Sankoff; Giovanni Giuliano; Victor A Albert; Patrick Wincker; Philippe Lashermes
Journal:  Science       Date:  2014-09-04       Impact factor: 47.728

6.  Divergent evolution of duplicate genes leads to genetic incompatibilities within A. thaliana.

Authors:  David Bikard; Dhaval Patel; Claire Le Metté; Veronica Giorgi; Christine Camilleri; Malcolm J Bennett; Olivier Loudet
Journal:  Science       Date:  2009-01-30       Impact factor: 47.728

Review 7.  Evolution of Gene Duplication in Plants.

Authors:  Nicholas Panchy; Melissa Lehti-Shiu; Shin-Han Shiu
Journal:  Plant Physiol       Date:  2016-06-10       Impact factor: 8.340

8.  Development and evaluation of a genome-wide Coffee 8.5K SNP array and its application for high-density genetic mapping and for investigating the origin of Coffea arabica L.

Authors:  Virginie Merot-L'anthoene; Rémi Tournebize; Olivier Darracq; Vimel Rattina; Maud Lepelley; Laurence Bellanger; Christine Tranchant-Dubreuil; Manon Coulée; Marie Pégard; Sylviane Metairon; Coralie Fournier; Piet Stoffelen; Steven B Janssens; Catherine Kiwuka; Pascal Musoli; Ucu Sumirat; Hyacinthe Legnaté; Jean-Léon Kambale; João Ferreira da Costa Neto; Clara Revel; Alexandre de Kochko; Patrick Descombes; Dominique Crouzillat; Valérie Poncet
Journal:  Plant Biotechnol J       Date:  2019-02-04       Impact factor: 9.803

9.  Fast and accurate long-read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2010-01-15       Impact factor: 6.937

10.  Wheat in the Mediterranean revisited--tetraploid wheat landraces assessed with elite bread wheat Single Nucleotide Polymorphism markers.

Authors:  Hugo R Oliveira; Jenny Hagenblad; Matti W Leino; Fiona J Leigh; Diane L Lister; Leonor Penã-Chocarro; Martin K Jones
Journal:  BMC Genet       Date:  2014-05-08       Impact factor: 2.797

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  1 in total

1.  Whole-genome resequencing of Coffea arabica L. (Rubiaceae) genotypes identify SNP and unravels distinct groups showing a strong geographical pattern.

Authors:  Yeshitila Mekbib; Kassahun Tesfaye; Xiang Dong; Josphat K Saina; Guang-Wan Hu; Qing-Feng Wang
Journal:  BMC Plant Biol       Date:  2022-02-14       Impact factor: 4.215

  1 in total

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