A new resource for a better understanding of the complex genetic dynamics within the oak syngameon
High-quality SNPs from genic regions highlight introgression patterns among European white oaks (Quercus petraea and Q. robur)
Recommendation: posted 18 February 2021, validated 22 February 2021
Dreyer, E. (2021) A new resource for a better understanding of the complex genetic dynamics within the oak syngameon. Peer Community in Forest and Wood Sciences, 100003. 10.24072/pci.forestwoodsci.100003
When we launched the multidisciplinary PCI Forest and Wood Sciences, we were well aware that this PCI devoted to a broad object (forests represent 1/3 of the emerged land area) and gathering multiple disciplines (from biology to social sciences), would be confronted with some challenges with respect to the range of pre-prints we would have to consider. Among the first ones submitted to the new PCI was this very interesting one (Lang et al, 2021) in the area of tree genomics and tree population genetics with a strong background in bioinformatics. This could well have been submitted to the PCI in Genomics, or the PCI in Evolutionary Biology, but finally fits very well in PCI Forest and Wood Sciences due to its finality: provide reliable genomic resources to tackle questions that are central to our understanding of the dynamics of forest ecosystems and the adaptation of trees to local conditions.
The phylogenetic status of the two sympatric oak species Quercus robur L. and Q. petraea Matt. Liebl. is an important question that was the center of in depth investigations by the BioGeCo research group at Bordeaux in cooperation with many European groups. The two species are major forest tree species in western Europe, structuring important ecosystems and providing high quality wood and other important ecosystem services. These species are considered to build up what is now called a “syngameon” together with a few other western European white oaks (Cannon and Petit, 2019). A syngameon is a complex of species exchanging genes, while still maintaining some degree of interspecific diversity enabling to differentiate, on the basis of leaf morphology for instance, the originally described species (Kremer et al, 2002 among many others dealing with the identification of oak species on the basis of their phenotype). The full sequencing of the genome of Q. robur (Plomion et al, 2018) opened an avenue for the development of new genomic tools to investigate the concept of species in this syngameon and to identify gene flows between populations and species. To date, whole genome sequencing and annotation is completed for Q. robur, Q. lobata Née, Q. suber L., and Fagus sylvatica L. (Plomion and Martin, 2020).
The preprint of Lang et al (2021) builds up on this background and provides a very interesting and important contribution to this area. First, it provides access to a very large data base of genomic sequences, based on 800 gene fragments and identified 12500 Single Nucleotide Polymorphisms (SNPs) as well as 1500 insertions deletions. 11 individuals assigned to the species Q. robur, 13 assigned to Q. petraea and 1 to Q. ilex L. were used to establish this data base. This is an important asset for developing future research on species identification based on their genomes. In full agreement to the policy of all PCIs about data availability, full access is provided to the data under a free use license CC-BY.
The manuscript has already a long history as a preprint and it was not that easy to find reviewers willing to do the job of reviewing such a large amount of information with a lot of technical details. At the end, we succeeded and obtained three very enthusiastic and positive reviews (attached to this recommendation). All reviewers agreed that this was an important contribution in the field, insisted on the quality of the writing and of the provided data, and finally agreed that the manuscript was to be recommended after a careful revision. The revision was readily done by the authors. One of the reviewers found that the preprint is close to a “data paper”, i.e., a paper providing the required information to enable (and advertise) the reuse of an important data set, which is only partly true. Indeed, the authors nicely used their data to address one of the most debated questions about the population genetics: how comes that in this syngameon, with inter-fertile individuals, clearly distinguishable species (from the phenotype at least) have been maintained?
The main result of the preprint is that indeed there are some (only few) genomic differences among the two species in the patterns of distribution of the SNPs, but also that the patterns reveal a clear introgression of the genome of one of the species into the other one. This was based on a Bayesian clustering analysis reported figure 3, evidencing that 2 individuals displaying an unambiguous Q. petraea phenotype could not be assigned to any of the species. The usual hypothesis postulates an introgression of the Q. robur genome, the pioneer species able to colonize open areas during the post-glacial recolonization into that of Q. petraea, due to hybridization and successive events of back gross with inflowing Q. petraea pollen. Such an introgression was hypothesized decades ago, and receives here some degree of confirmation. Recent findings showed the importance of such an introgression for the adaptation of local oak populations to altitudinal gradients (Leroy et al, 2020).
Given the importance of the contribution (both from the point of view of the development of new genomic tools and from that of our understanding of the population genetics in the oak syngameon, I do recommend this preprint in the frame of the PCI Forest and Wood Sciences after an insightful peer reviewing and a very careful revision leading to the current version 4 of this preprint.
Cannon CH, Petit RJ (2020) The oak syngameon: more than the sum of its parts. New Phytologist, 226, 978–983. https://doi.org/10.1111/nph.16091
Kremer A, Dupouey JL, Deans JD, Cottrell J, Csaikl U, Finkeldey R, Espinel S, Jensen J, Kleinschmit J, Dam BV, Ducousso A, Forrest I, Heredia UL de, Lowe AJ, Tutkova M, Munro RC, Steinhoff S, Badeau V (2002) Leaf morphological differentiation between Quercus robur and Quercus petraea is stable across western European mixed oak stands. Annals of Forest Science, 59, 777–787. https://doi.org/10.1051/forest:2002065
Lang T, Abadie P, Léger V, Decourcelle T, Frigerio J-M, Burban C, Bodénès C, Guichoux E, Provost GL, Robin C, Tani N, Léger P, Lepoittevin C, Mujtar VAE, Hubert F, Tibbits J, Paiva J, Franc A, Raspail F, Mariette S, Reviron M-P, Plomion C, Kremer A, Desprez-Loustau M-L, Garnier-Géré P (2021) High-quality SNPs from genic regions highlight introgression patterns among European white oaks (Quercus petraea and Q. robur). bioRxiv, 388447, version 4 peer-reviewed and recommended by PCI Forest and Wood Sciences. https://doi.org/10.1101/388447
Leroy T, Louvet J-M, Lalanne C, Provost GL, Labadie K, Aury J-M, Delzon S, Plomion C, Kremer A (2020) Adaptive introgression as a driver of local adaptation to climate in European white oaks. New Phytologist, 226, 1171–1182. https://doi.org/10.1111/nph.16095
Plomion C, Aury J-M, Amselem J, Leroy T, Murat F, Duplessis S, Faye S, Francillonne N, Labadie K, Le Provost G, Lesur I, Bartholomé J, Faivre-Rampant P, Kohler A, Leplé J-C, Chantret N, Chen J, Diévart A, Alaeitabar T, Barbe V, Belser C, Bergès H, Bodénès C, Bogeat-Triboulot M-B, Bouffaud M-L, Brachi B, Chancerel E, Cohen D, Couloux A, Da Silva C, Dossat C, Ehrenmann F, Gaspin C, Grima-Pettenati J, Guichoux E, Hecker A, Herrmann S, Hugueney P, Hummel I, Klopp C, Lalanne C, Lascoux M, Lasserre E, Lemainque A, Desprez-Loustau M-L, Luyten I, Madoui M-A, Mangenot S, Marchal C, Maumus F, Mercier J, Michotey C, Panaud O, Picault N, Rouhier N, Rué O, Rustenholz C, Salin F, Soler M, Tarkka M, Velt A, Zanne AE, Martin F, Wincker P, Quesneville H, Kremer A, Salse J (2018) Oak genome reveals facets of long lifespan. Nature Plants, 4, 440–452. https://doi.org/10.1038/s41477-018-0172-3
Plomion C, Martin F (2020) Oak genomics is proving its worth. New Phytologist, 226, 943–946. https://doi.org/10.1111/nph.16560
The recommender in charge of the evaluation of the article and the reviewers declared that they have no conflict of interest (as defined in the code of conduct of PCI) with the authors or with the content of the article. The authors declared that they comply with the PCI rule of having no financial conflicts of interest in relation to the content of the article.
Evaluation round #1
DOI or URL of the preprint: 10.1101/388447v2
Version of the preprint: 2
Author's Reply, 11 Jan 2021
Decision by Erwin Dreyer, posted 29 Sep 2020
I do apologize for the long time it took to reach this decision. We had trouble finding suitable referees and had to sollicit a large number of colleagues to do the job. This is linked to the fact that the concept of PCI is still not fully integrated by the potential referees and our research community; we still have a large communication effort to do.
The reviewers produced very positive assessments of the manuscript and praised the precision and details of the description of the data and the usefulness of the attached data based. One of the reviewers stated that the preprint sounded like a data paper, but added that the text provided many useful and precise discussions of the data that go beyond what is expected from a data paper. The different reviewers suggested some minor changes in the text that I am not going to detail again here, and that you will find in their comments. I guess from what I read that the required changes are very minor and should not be too difficult to introduce.
Once these changes are made and the new version of the preprint is deposited in the archive, I will be able to provide a very positive recommendation of the preprint, which would be the first (or possibly the second one) for the PCI Forest&Wood Science.
Thank you anyway for your patience.
I am looking forward to consider the revised version and write the final recommendation.
With best regards
INRAE, UMR Silva (Université de Lorraine, AgroParisTech & INRAE), Nancy.
Recommender for this preprint