Literature DB >> 31844320

Reply to: Revisiting the origin of octoploid strawberry.

Patrick P Edger1,2, Michael R McKain3, Alan E Yocca4,5, Steven J Knapp6, Qin Qiao7, Ticao Zhang8.   

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Year:  2019        PMID: 31844320      PMCID: PMC6960091          DOI: 10.1038/s41588-019-0544-2

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


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replying to A. Liston et al. Nature Genetics 10.1038/s41588-019-0543-3 (2019) The origin of octoploid strawberry has been the focus of several phylogenetic studies over the past decade (for example, refs. [1-3]). Our previous study, using the octoploid genome and transcriptomes of every extant diploid Fragaria species, provided support for four species (Fragaria vesca, Fragaria iinumae, Fragaria viridis and Fragaria nipponica) as the closest extant relatives of the diploids that contributed to the origin of octoploid strawberry[4]. In a response paper[5], Liston et al. stated “that only two extand diploids were progenitors” with one subgenome being contributed by F. vesca and three by F. iinumae–like ancestors. Our reanalysis of the transcriptome data and comparative genomic analyses of a chromosome-scale F. iinumae genome support our previous model for the origin of octoploid strawberry[4]. Liston et al.[5] raised a concern regarding one of the steps in the phylogenetic analysis of the subgenome tree-searching algorithm (PhyDS) tool we developed to identify extant relatives of diploid progenitors of allopolyploids. Specifically, they argue that we may have incorrectly identified F. viridis and F. nipponica as extant relatives because in-paralogs were excluded from our previous phylogenetic analysis[4]. Our reanalysis of the data using PhyDS, now including in-paralogs, yielded results consistent with those presented in our previous study (Fig. 1; Supplementary Information and Supplementary Dataset 1). Furthermore, their alternative model for the origin of octoploid strawberry (1× F. vesca–like and 3× F. iinumae–like subgenomes) is not supported by comparative genomic analyses of a new chromosome-scale F. iinumae genome (Fig. 2).
Fig. 1

Phylogenetic analyses.

a, Number of genes from species identified as being sister to a homoeolog from the octoploid genome, by using PhyDS with bootstrap support value (BSV) cutoffs. Based on previous results[4]. b, Reanalysis of the data, including in-paralogs and BSV50 cutoff, identified the same progenitor species. The prevalence and biased patterns of homoeologous exchanges between subgenomes resulted in the dominant F. vesca subgenome replacing a greater number of corresponding regions in each of the recessive subgenomes[4]. Thus, a greater number of genes from the dominant F. vesca subgenome were identified, with the F. iinumae–like subgenome being second.

Fig. 2

Divergence of Ks rates among subgenomes.

a, Synonymous substitution divergence for all syntenic genes between the F. iinumae and Fragaria × ananassa genomes[4]. The median Ks divergence values for the seven chromosomes previously assigned to each progenitor species are plotted. The F. iinumae and F. vesca subgenomes exhibit the lowest and highest Ks divergence, respectively. b–d, Ks analysis of F. iinumae (b), F. viridis (c) and F. nipponica (d) transcriptomes against the phylogenetically supported homoeolog in the octoploid genome. The Ks distributions of F. viridis and F. nipponica transcriptomes are both unique and distinct from that of F. iinumae.

Phylogenetic analyses.

a, Number of genes from species identified as being sister to a homoeolog from the octoploid genome, by using PhyDS with bootstrap support value (BSV) cutoffs. Based on previous results[4]. b, Reanalysis of the data, including in-paralogs and BSV50 cutoff, identified the same progenitor species. The prevalence and biased patterns of homoeologous exchanges between subgenomes resulted in the dominant F. vesca subgenome replacing a greater number of corresponding regions in each of the recessive subgenomes[4]. Thus, a greater number of genes from the dominant F. vesca subgenome were identified, with the F. iinumae–like subgenome being second.

Divergence of Ks rates among subgenomes.

a, Synonymous substitution divergence for all syntenic genes between the F. iinumae and Fragaria × ananassa genomes[4]. The median Ks divergence values for the seven chromosomes previously assigned to each progenitor species are plotted. The F. iinumae and F. vesca subgenomes exhibit the lowest and highest Ks divergence, respectively. b–d, Ks analysis of F. iinumae (b), F. viridis (c) and F. nipponica (d) transcriptomes against the phylogenetically supported homoeolog in the octoploid genome. The Ks distributions of F. viridis and F. nipponica transcriptomes are both unique and distinct from that of F. iinumae. Phylogenetic analysis of the subgenome tree-searching algorithm searched a set of gene trees to identify sequences most closely related to a set of user-provided paralogs (or homoeologs in polyploids). Homoeologs are orthologous genes that were brought back into the same nucleus by allopolyploidization[6]. For our analyses, we used syntenic (that is, positionally conserved) homoeologs that were present on all subgenomes in octoploid strawberry. Gene trees were estimated using RAxML[7] based on orthologs identified using established orthogrouping approaches[8] applied to de novo assembled transcriptomes for each diploid Fragaria species[4]. PhyDS performs a relatively simple and straightforward analysis of gene trees. First, it identifies the user-provided paralog present in a gene tree and then moves to the direct ancestral node of the paralog. Second, PhyDS then returns to the user the direct descendants (that is, sequence identities including the paralog) of that ancestral node with its bootstrap support value (Fig. 1). We have two major concerns regarding the methods used in refs. [2,5]. First, phylogenetic analyses aimed at estimation of species relationships are reliant first on correct identification of orthologs[9]. These authors used a sequence similarity-based approach to identify putative orthologs that has relatively high error rates[10]. Furthermore, pangenome studies have shown that up to one-half of gene content exhibits presence–absence variation at the species level in plants[11]. In other words, many genes are individual- or population-specific. Thus, many of the putative ortholog predictions in their studies may be inaccurate. Second, Liston et al.[5] performed analyses of 100-kb windows across each of the seven base chromosomes. This could be problematic because chromosomal regions from one parental species can be replaced with chromosomal regions from the other parental species during meiosis in polyploids (referred to as homoeologous exchanges[12]). Homoeologous exchanges can range in size from large megabase-sized regions to single genes (see a recent review on its impact on subgenome assignment in ref. [13]). We identifed extensive homoeologous exchanges throughout the octoploid strawberry genome[4]. Thus, the 100-kb windows Liston et al. used consist of genes with different evolutionary histories reflecting each of the different progenitor species. This could result in inaccurate estimates of species relationships. Here we present a chromosome-scale genome of F. iinumae with a scaffold minimum scaffold length needed to cover 50% of the genome of 33.98 Mb and 23,665 protein-coding genes (see Supplementary Information). This genome was used to calculate the synonymous substitution (Ks) divergence between F. iinumae to each of the four subgenomes (Fig. 2a). This revealed that only one of the subgenomes of octoploid strawberry is F. iinumae–like, which does not support the model presented by Liston et al.[5] that the origin of octoploid strawberry involved three F. iinumae–like and one F. vesca–like progenitor species. Instead, these results are consistent with our phylogenetic estimates supporting more than two diploid progenitors (Fig. 2b–d). The F. viridis (Fig. 2c) and F. nipponica (Fig. 2d) subgenomes are not F. iinumae–like. Our new phylogenetic analyses support four distinct progenitor species, which is consistent with our previous results[4] and that of other groups[3]. The conflicting results obtained by Liston et al.[5] are probably due to differences in methodology. As pointed out above, establishing gene orthology is crucial for molecular phylogenetics. Our pipeline started by identifying high-confidence syntenic 1:1 homoeologs present on each of the subgenomes. This step alone filtered out 82.1% of genes from the octoploid strawberry genome[4]. The number of genes analyzed in our study was further reduced due to absence across transcriptome data, stringent orthogroup filtering and bootstrap value filtering. In short, more data are not always better if one introduces ‘phylogenetic noise’. It is unclear to us how Liston et al.[5] obtained high unique mapping rates (~89% alignment) across the F. vesca genome, which consists of ~31% transposable elements and hundreds of duplicate genes. Furthermore, many genes are species-specific based on previous pangenome studies. As pointed out by Liston et al.[5], incomplete lineage sorting can impact phylogenetic inferences. However, that is far more likely to impact within-species than between-species estimates. This is exactly what was observed in our study. Other F. vesca subspecies were identified as contributors but were present at notably lower levels than F. viridis and F. nipponica (Fig. 1a). These patterns provide further support for F. viridis and F. nipponica as extant relatives of the progenitors that contributed to the origin of the intermediate hexaploid ancestor. Lastly, we did state that F. moschata may be an extant relative of the intermediate hexaploid ancestor. Given the high frequency of polyploid formation in Fragaria[14] and birth–death dynamics of polyploids[15], we agree it is possible that the hexaploid ancestor may be extinct. This remains to be properly evaluated using robust phylogenetic approaches and datasets.

Reporting Summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Online content

Any methods, additional references, Nature Research reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at 10.1038/s41588-019-0544-2.

Supplementary information

Supplementary Note and Tables 1–4 Reporting Summary Results from PhyDS analysis.
  15 in total

1.  A Comprehensive Study of the WRKY Transcription Factor Family in Strawberry.

Authors:  José Garrido-Gala; José-Javier Higuera; Antonio Rodríguez-Franco; Juan Muñoz-Blanco; Francisco Amil-Ruiz; José L Caballero
Journal:  Plants (Basel)       Date:  2022-06-15

2.  Allelic Variation of MYB10 Is the Major Force Controlling Natural Variation in Skin and Flesh Color in Strawberry (Fragaria spp.) Fruit.

Authors:  Cristina Castillejo; Veronika Waurich; Henning Wagner; Rubén Ramos; Nicolás Oiza; Pilar Muñoz; Juan C Triviño; Julie Caruana; Zhongchi Liu; Nicolás Cobo; Michael A Hardigan; Steven J Knapp; José G Vallarino; Sonia Osorio; Carmen Martín-Pizarro; David Posé; Tuomas Toivainen; Timo Hytönen; Youngjae Oh; Christopher R Barbey; Vance M Whitaker; Seonghee Lee; Klaus Olbricht; José F Sánchez-Sevilla; Iraida Amaya
Journal:  Plant Cell       Date:  2020-09-30       Impact factor: 11.277

3.  The sugar transporter system of strawberry: genome-wide identification and expression correlation with fruit soluble sugar-related traits in a Fragaria × ananassa germplasm collection.

Authors:  Hai-Ting Liu; Ying Ji; Ya Liu; Shu-Hua Tian; Qing-Hua Gao; Xiao-Hua Zou; Jing Yang; Chao Dong; Jia-Hui Tan; Di-An Ni; Ke Duan
Journal:  Hortic Res       Date:  2020-07-27       Impact factor: 6.793

4.  The sugar transporter system of strawberry: genome-wide identification and expression correlation with fruit soluble sugar-related traits in a Fragaria × ananassa germplasm collection.

Authors:  Hai-Ting Liu; Ying Ji; Ya Liu; Shu-Hua Tian; Qing-Hua Gao; Xiao-Hua Zou; Jing Yang; Chao Dong; Jia-Hui Tan; Di-An Ni; Ke Duan
Journal:  Hortic Res       Date:  2020-07-27       Impact factor: 6.793

5.  Tracing the Diploid Ancestry of the Cultivated Octoploid Strawberry.

Authors:  Chao Feng; Jing Wang; A J Harris; Kevin M Folta; Mizhen Zhao; Ming Kang
Journal:  Mol Biol Evol       Date:  2021-01-23       Impact factor: 16.240

Review 6.  An Atlas of Genomic Resources for Studying Rosaceae Fruits and Ornamentals.

Authors:  Muzi Li; Yuwei Xiao; Steve Mount; Zhongchi Liu
Journal:  Front Plant Sci       Date:  2021-04-01       Impact factor: 5.753

7.  Genome-Wide Screening of AP2 Transcription Factors Involving in Fruit Color and Aroma Regulation of Cultivated Strawberry.

Authors:  Lixia Sheng; Cong Ma; Yue Chen; Hongsheng Gao; Jianwen Wang
Journal:  Genes (Basel)       Date:  2021-04-05       Impact factor: 4.096

8.  Evolution of the MLO gene families in octoploid strawberry (Fragaria ×ananassa) and progenitor diploid species identified potential genes for strawberry powdery mildew resistance.

Authors:  Ronald R Tapia; Christopher R Barbey; Saket Chandra; Kevin M Folta; Vance M Whitaker; Seonghee Lee
Journal:  Hortic Res       Date:  2021-07-01       Impact factor: 6.793

Review 9.  A roadmap for research in octoploid strawberry.

Authors:  Vance M Whitaker; Steven J Knapp; Michael A Hardigan; Patrick P Edger; Janet P Slovin; Nahla V Bassil; Timo Hytönen; Kathryn K Mackenzie; Seonghee Lee; Sook Jung; Dorrie Main; Christopher R Barbey; Sujeet Verma
Journal:  Hortic Res       Date:  2020-03-15       Impact factor: 6.793

10.  The Evolution of Chromosome Numbers: Mechanistic Models and Experimental Approaches.

Authors:  Itay Mayrose; Martin A Lysak
Journal:  Genome Biol Evol       Date:  2021-02-03       Impact factor: 3.416

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