Abstract
The dating of diversification events, including transitions between biomes, is key to elucidate the processes that underlie the assembly and evolution of tropical biodiversity. Afzelia is a widespread genus of tropical trees, threatened by exploitation for its valuable timber, that presents an interesting system to investigate diversification events in Africa. Africa hosts diploid Afzelia species in the savannahs north and south of the Guineo-Congolian rainforest and autotetraploid species confined to the rainforest. Species delimitation and phylogenetic relationships among the diploid and tetraploid species remained unresolved in previous studies using small amounts of DNA sequence data. We used genotyping-by-sequencing in the five widespread Afzelia species in Africa, the savannah species A. africana and A. quanzensis and the rainforest species A. bipindensis, A. pachyloba, and A. bella. Maximum likelihood and coalescent approaches resolved all species as monophyletic and placed the savannah and rainforest taxa into two separate clades corresponding to contrasted ploidy levels. Our data are thus compatible with a single biome shift in Afzelia in Africa, although we were unable to conclude on its direction. SNAPP calibrated species trees show that the savannah diploids started to diversify early, at 12 (9.09–14.89) Ma, which contrasts with a recent and rapid diversification of the rainforest tetraploid clade, starting at 4.22 (3.12 – 5.36) Ma. This finding of older diversification in a tropical savannah clade vs. its sister rainforest clade is exceptional; it stands in opposition to the predominant observation of young ages for savannahs lineages in tropical regions during the relatively recent expansion of the savannah biome.
Introduction
The biogeographic history of the African flora has been marked by an overall trend toward continental aridification since the wet and warm conditions of the Paleocene (66 – 56 Ma, Senut et al., 2009; Jacobs et al., 2010). Paleobotanical evidence from the north of Africa suggests that rainforest was the most common biome during the Paleocene and the beginning of the Eocene (56 – 33.9 Ma, Jacobs, 2004; Jacobs et al., 2010). More open vegetation appeared in central Africa in the middle Eocene (47.8 – 38 Ma) concomitant with increased temperatures and aridification (Jacobs et al., 2010). A global cooling at the Eocene-Oligocene boundary (33 Ma) led to large-scale extinctions (Zachos et al., 2008; Jacobs et al., 2010) and the grass-dominated savannah biome began to expand in the middle Miocene (16 Ma, Jacobs, 2004), becoming a well established component of tropical vegetation from the late Miocene (ca. 8 Ma, ). The alternation of cold/dry and hot/humid climates of the Miocene (23 – 5.3 Ma), Pliocene (5.3 – 2.6 Ma) and Pleistocene (2.6 – 0.01 Ma) has affected the distribution the major tropical biomes - rainforest, woodland and savannah – with repetitive phases of major expansion or contraction, resulting in the modern distribution of tropical African biomes (Sarnthein and Fenner, 1988; Morley, 2000; Plana, 2004; Salzmann and Hoelzmann, 2005; ; Miller and Gosling, 2014).
These historical contractions and expansions of the major African biomes have probably triggered biome shifts and diversification in the evolution of tropical plant lineages. Understanding and dating biome shifts is key to understanding the processes that underlie the assembly and evolution of African tropical biodiversity (Wiens and Donoghue, 2004), however, biome shifts have been little studied in the African floras. Multiple transitions from rainforests to dry forests/savannahs have been inferred in the diversification of the tree genus Guibourtia in Africa (Tosso et al., 2018). Similarly, three biome transitions from humid forest to dry or montane forests have been documented in the tree genus Entandrophragma (Meliaceae) along with ecological adaptations to drier habitat (Monthe et al., 2019). The literature suggests that most biome shifts in tropical Africa support the transition from closed habitats to open habitats (Holstein and Renner, 2011; Veranso-Libalah et al., 2018), which is congruent with paleobotanical evidence for rainforest to be ancient and savannahs to be a more recent biome (Jacobs et al., 2010).
In African forest trees, phylogenetics or population genetics studies have led to the discovery of many new species that could not a priori be distinguished based on morphological features (Koffi et al., 2010; ; ; ; Ikabanga et al., 2017; Lissambou et al., 2018). High-throughput sequencing can facilitate the study of taxonomically difficult groups that contain closely related, weakly differentiated species. Sequencing large portions of the genome of non-model organisms can help generate resolved phylogenies of these complex groups. For non-model taxa, reduced representation sequencing methods such as genotyping-by-sequencing (GBS, – ) can provide thousands of single nucleotide polymorphisms (SNPs) for phylogenetic analysis without prior knowledge of the genome (; ; Hipp et al., 2014; ; Nicotra et al., 2016; ).
Afzelia Smith (Detarioideae – Caesalpinioideae) is a widespread and taxonomically complex genus of valuable timber trees that provides an excellent opportunity to apply genomic tools for species delimitation and investigate the role played by biome shifts in species diversification in tropical Africa. Afzelia is a Paleotropical genus distributed in Sub-Saharan Africa, where it is known as “doussié,” and Southeast Asia (). The genus exhibits large morphological variability within and between species and can be considered a species complex (). At present, most taxonomists agree that it contains 11 species (; Léonard, 1950; Institut National pour l’Etude Agronomique du Congo-belge [INEAC], 1952; , , ; Satabié, 1994). Seven species occur in sub-Saharan Africa: five of them are widely distributed, the savannah species A. africana Sm. ex Pers., and A. quanzensis Welw., and the rainforest species A. bipindensis Harms, A. bella Harms, A. pachyloba Harms (Figure 1); and two are local endemics, A. parviflora (Vahl) Hepper occurring in rainforest habitat in West Africa, and A. peturei De Wild, probably the least documented species of the Afzelia clade in Africa, being found in the transition zone between the rainforest and the Zambesian savannah. The remaining four species, A. xylocarpa (Kurz) Craib, A. rhomboidea (Blanco) S. Vidal, A. javanica (Miq) J. Léonard and A. palembanica Baker, occur in Southeast Asia in scattered locations in dry, mixed deciduous or evergreen dipterocarp forest. Based on a fossil attributed to Afzelia discovered in the Guang River flora in north-western Ethiopia and dating from the Late Oligocene (27.23 Ma, Pan et al., 2010), it is likely that the genus originated in Africa and that it dispersed subsequently into tropical Asia. Most Afzelia species are categorized as vulnerable according to the International Union for the Conservation of Nature (IUCN) Red List because they are substantially exploited for the international timber market (International Union for Conservation of Nature and Natural Resources [IUCN], 2012).
FIGURE 1
In the evolution of Afzelia species in Africa, biome shifts seem to have taken place in association with ploidy levels. The rainforest species A. bipindensis, A. bella, A. pachyloba, and A. parviflora – sympatrically distributed across the Guineo-Congolian rainforest – have recently been shown to be autotetraploids using nuclear microsatellites and flow cytometry, whereas the savannah species A. africana and A. quanzensis – situated north and south of the Guineo-Congolian rainforest, respectively – are diploids (
In this study, we used GBS to sequence the five most abundant species of the genus Afzelia in Africa (A. africana, A. quanzensis, A. bipindensis, A. bella, and A. pachyloba) in order to assess the phylogenetic relationships among them using multiple methods and datasets. We addressed the following questions.
- 1.
Given the previously unresolved phylogeny, can genome-wide genetic markers provide additional insights into the phylogenetic relationships between diploid savannah and tetraploid rainforest species in Afzelia?
- 2.
If so, can molecular dating of the phylogeny inform on which biome shifts occurred during the diversification of Afzelia in Africa?
- 3.
Given the extensive haplotype sharing previously observed, can multiple genomic markers delimit species and provide insights into the timing of diversification and/or hybridization in the polyploid complex of rainforest Afzelia taxa?
We find strong support for the delimitation of the investigated Afzelia species and for phylogenetic relationships between species. This study represents the most comprehensive phylogenomic evaluation of Afzelia to date.
Materials and Methods
Sampling, DNA Extraction, Genomic Libraries and Sequencing
We used 41 accessions of Afzelia and six accessions (Supplementary Material S1) of other Leguminosae species as outgroups. Our sampling represents the five widely distributed species of the genus Afzelia in Africa (
DNA was extracted from silica-dried leaves collected in the field and four recent herbarium specimens (National Herbarium of the Netherlands Wageningen, WAG; African Botanical Library of Université Libre de Bruxelles, BRLU; and the Botanic Garden Meise, BR). For each accession, total genomic DNA was extracted using a CTAB protocol (
Overall, 180 GBS libraries were built and sequenced on two Illumina lanes (HiSeq2000, San Diego, CA, United States), using 100-bp Single Read chemistry. Given the large genome sizes of our study species (4.9 – 5.0 pg in the diploids and 8.5 – 9.9 in the tetraploids,
Bioinformatics Analyses
De novo Assembly of Reference Sequence
Single-end reads were checked for quality using FastQC 0.11.5 software (
SNP Discovery and Genotyping
The trimmed reads of all accessions, including outgroups, were then aligned to the reference sequence using the Burrows-Wheeler Aligner BWA mem 0.7.5a-r405 (Li and Durbin, 2009) with -M and -B 4 options, to generate SAM files. SAM files were processed using SAMtools 0.1.17 (Li et al., 2009) and Picard Tools v1.962 to convert from SAM to BAM (Binary Alignment Map) (Sam Format Converter module), sorting the BAM files by position (Sort Sam module) and adding read groups (AddOrReplaceReadGroups module). The resulting BAM files were used as input for Genome Analysis Toolkit (GATK) v3.7 (
Phylogenetic Analyses and Estimation of Divergence Times
For the Afzelia with outgroups dataset we applied Maximum Likelihood (ML) methods to perform phylogenetic analyses. ML analyses were conducted with the GTR + GAMMA substitution model and 100 bootstrap replicates running RAxML 7.2.6 (Stamatakis, 2014) with default parameters through the CIPRES Portal 2.1 (Miller, 2009)3. Phylogenetic trees were visualized in FigTree 1.4.3 (Rambaut, 2007). The analyses were repeated with ascertainment bias correction using the Lewis method to avoid overestimation of branch lengths and biases in the phylogeny when the number of non-variable sites is not known (Lewis, 2001). We then estimated divergence times within Afzelia based on the resulting phylogeny using Bayesian MCMC analysis implemented in BEAST 1.7.4 (
Species Tree Inference: Species Delimitation and Estimation of Divergence Times
To provide additional support for species delimitation in Afzelia, we used several models to estimate species trees directly from the Afzelia dataset. We used the multi-species coalescent approach in SNAPP v.1.3.0 (
We then used the Generalized Mixed Yule Coalescent (GMYC) model (Pons et al., 2006;
Finally, we used Bayesian (bPTP) and ML (mlPTP) implementations of the Poisson tree processes model (PTP) (available at http://species.h-its.org/ptp/) to estimate the number of speciation events in the Afzelia rooted phylogenetic tree based on nucleotide substitutions (Zhang et al., 2013). Because this approach does not require ultrametrization of trees, it constitutes a reasonable alternative to other species delimitation models such as the General mixed Yule coalescent model (Pons et al., 2006). In PTP models, the numbers of substitutions (branch lengths) represent speciation or branching events and, therefore, they only require a phylogenetic tree as input. PTP analyses were conducted on the web server for PTP (available at http://species.h-its.org/ptp/) using the best ML tree resulting from the RA × ML analysis (see below).
Inference of Interspecific Hybridization History
We used TreeMix v1.12 (Pickrell and Pritchard, 2012) to infer historical relationships among Afzelia species. This method builds a maximum likelihood graph that connects species with their common ancestor, using the covariance structure of allele frequencies between species and a Gaussian approximation for genetic drift. Migration events, i.e., hybridization events, can be modeled to improve the fit of the inferred graph. To meet TreeMix requirements, the Afzelia dataset was reduced to SNPs without missing data, a single SNP was selected per GBS locus using VCFtools, and species-level allele frequencies were computed from the VCF to generate the TreeMix infile. We modeled the interspecific evolutionary history in Afzelia using m = 0 to m = 4 migration events.
Results
GBS Data Production and Reference Sequence Construction
Unambiguous barcodes were found in a total of 295 million sequencing reads. After trimming, cleaning, and quality filtering an average of 4.7 million reads per accession were retained. Genotyping Afzelia accessions with PyRAD yielded accession-level heterozygosity estimates between 0.0288 and 0.0794 and error rates between 0.0043 and 0.0169 (Supplementary Material S3). The accession with the lowest amount of missing data in the PyRAD genotyping – AD657 of A. bipindensis – was used as a GBS reference sequence. It comprised a total of 221,334 loci representing 3,489,577 bp, including 52,314 polymorphic sites, and 3749 scaffolds (Supplementary Material S3). This reference is available in FASTA format in DRYAD10.
Mapping and SNP Calling
Mapping the reads from all accessions against the reference and genotyping with GATK allowed us to obtain VCF files for two datasets. For the Afzelia with outgroups dataset 21,150 SNPs were discovered and 9,165 SNPs were retained in 26 Afzelia accessions and all seven outgroups, after filtering INDELs, non-biallelic sites, and sites with more than 40% of missing data. For the Afzelia dataset 23,694 SNPs were discovered and 4,823 SNPs were retained (26 accessions) after filtering INDELs, non-biallelic sites, and sites with more than 20% of missing data. The Afzelia with outgroups and Afzelia datasets were used to generate phylogenetic trees in RAxML. For species delimitation based on the multispecies coalescent in SNAPP, a subset of 2,370 bi-allelic SNPs without missing data in at least one species was retained.
Concatenation-Based Tree and Timing of Afzelia Diversification
For the Afzelia with outgroups dataset, different datasets (on the percentage of missing data) were tested for phylogenomics of the genus. The dataset (9,165 SNPs) of at most 40% missing data yielded the phylogenetic relationships that were most congruent with the known topology in the legumes (
FIGURE 2

Phylogenetic relationships in Afzelia and related taxa inferred from nuclear genomic data. Maximum likelihood tree (33 samples, 9165 SNPs) estimated in RaxML. The tree was created using a 50% majority rule consensus tree from 500 bootstrap replicates. The consensus multilocus coalescent species trees of the genus Afzelia based on four models are represented in the right part of the figure using colored blocks. Each botanically determined species is indicated with the same branch color as in Figure 1. Each separate block stands for a separate lineage or taxonomic entity as delimited with the species delimitation model noted above. The red color representing A. bipindensis and A. bella in sGMYC and mlPTP indicates that the two species shared the same clade for these models.
Based on molecular dating of the concatenation-based phylogeny, diversification appeared to occur earliest in the diploid lineage of Afzelia, while the position of the sister species Intsia bijuga remained ambiguous on the topology of the tree (Figure 3). The diversification of the Afzelia-Intsia clade started in the Oligocene, the posterior mean age of the common ancestor (MRCA, node A) of the clade being estimated at 33.31 Ma [95% highest posterior density (HPD) 28.64–41.04 Ma] (Figure 3). The divergence of each monophyletic species on the basis of the well-resolved phylogenetic tree at the genus level suggests that savannah species diversified in the Middle Miocene, A. africana (node F, 12.33 Ma) and A. quanzensis (node E, 14.68 Ma), whereas the rainforest species would have appeared in the Upper Miocene: A. bipindensis (node G, 10.06 Ma), A. pachyloba (node H, 10.08 Ma) and A. bella (node I, 08.39 Ma).
FIGURE 3

Divergence time chronograms obtained from the Bayesian maximum clade credibility tree reconstructed with 26 accessions of Afzelia, one Intsia bijuga and six outgroup accessions based on 9165 SNPs. The age of nodes associated with letters, the 95% highest posterior density (HPD) and the posterior probability (PP) are given in the insert. Bars indicate the 95% HPD intervals around node ages.
Coalescent-Based Species Trees and Timing of Afzelia Diversification
For the Afzelia dataset the SNAPP analysis resolved five well-differentiated clades that support the monophyly of all species. The visualization of the species trees superimposed in the DensiTree plot (Figure 4) resolved the evolutionary relationships among species with no signs of conflict among trees, even within the rainforest clade: A. pachyloba is the sister species of the clade containing A. bipindensis and A. bella. The results of the GMYC and PTP models are plotted against the RAxML phylogeny in Figure 2. They resolved between 6 and 15 sub-lineages within Afzelia. The sGMYC and mlPTP models placed A. bella and A. bipindensis into the same species cluster, in line with the close relationship revealed by the SNAPP species tree. The SNAPP-calibrated tree revealed, as expected, later diversification dates than the concatenated gene tree. The diversification of Afzelia has a the posterior mean age of the MRCA in the late Oligocene at 26.93 Ma (95% HPD 21.06 – 32.92 Ma; Figure 4). The rainforest lineage diversified rapidly between the Pliocene and the early Pleistocene (mean A. pachyloba split at 4.22 Ma and mean A. bipindensis/A. bella split at 2.78 Ma) and the savannah lineage earlier in the Miocene (mean at 12 Ma).
FIGURE 4

Nuclear species tree estimation in Afzelia based on 2370 SNPs as inferred by SNAPP and summary of species’ ecological and ploidy characteristics. Maximum-clade-credibility tree is shown in dark blue. Estimated ages have been indicated at each node with 95% highest posterior density (HPD) and posterior probability (in red).
Interspecific Hybridization History
The genetic relationships among species revealed by TreeMix distinguished the diploid and tetraploid clades, in agreement with the phylogenetic relationships evidenced with concatenation or coalescent-based methods, and confirmed the placement of A. pachyloba as sister of the clade containing A. bipindensis and A. bella, as revealed by species delimitation methods (Figure 5A). The proportion of variance in the data explained by the model was high, PVE = 0.975, for a model without migration. The addition of migration events improved the proportion of variance explained to PVE = 0.998 for m = 1 and PVE = 0.9999 for m = 2 migration events. The first migration event links diploid A. africana with tetraploid A. bella whereas the second links an ancestor of diploid A. quanzensis with tetraploid A. bipindensis (Figure 5).
FIGURE 5

Evolutionary history among Afzelia species as inferred by TreeMix. (A) Graph showing the topology and branch lengths according to drift parameter, allowing for m = 2 migration events, represented by arrows. (B) Residual fit for the graph shown in (A). The residual covariance between each pair of species scaled by the average standard error across all pairs is plotted. Colors are described in the palette on the right. Residuals above zero (green and blue) represent species that are more closely related to each other in the data than in the best-fit tree, and thus are candidates for admixture events. (C) Proportion of variance of the data explained by the four models run in TreeMix using m = 0 to m = 4 migration events.
Discussion
Our phylogenetic reconstructions provided the most robust phylogenetic framework of the tropical tree genus Afzelia in Africa produced to date. Both the SNP concatenated gene tree (RAxML tree; Figure 2) and the coalescent-based species tree (SNAPP tree; Figure 4) highly supported two major monophyletic clades associated with habitat and ploidy levels: a diploid savannah clade and a tetraploid rainforest clade. The calibrated phylogeny and the species tree (Figures 3, 4) show an earlier diversification of the savannah clade followed by a later speciation within the rainforest clade. Species delimitation within these two major clades, with all species resolved as monophyletic, was also the most robust to date.
A Single Biome Shift in African Afzelia
Genotyping-by-sequencing data strongly supported the monophyly of two major habitat-specific clades in Afzelia. This suggests a single transition between the savannah and the rainforest biomes in Africa. Previous plastid DNA sequence data – Sanger sequences of a few loci and full plastome sequences – placed the savannah species A. quanzensis as sister to the rainforest clade (
The calibrated phylogeny and the dated species tree indicate a diversification of the savannah clade in the Miocene, earlier than the rainforest clade. This early diversification of the savannah species is exceptional in the context of the global plant evolutionary patterns reported in tropical Africa and South America that point to a relatively young age for savannah lineages. In the South African tree flora, the majority of divergence times between sister taxa of savannah trees were dated within the Pleistocene (the last 2 Ma), which is more recent than those between sister taxa of forest trees (Maurin et al., 2014). In the Brazilian savannah (Cerrado) the origin of woody plants restricted to the Cerrado is also estimated to be recent (<10 Ma), most of them in the Pliocene (<4 Ma; Simon et al., 2009). This seems to reflect the relative ages of the biomes, with rainforests dating from at least the early Paleocene (
Evolutionary shifts of plant lineages from the rainforest to savannah or to other dry biomes seem to have been significantly more frequent than switches of plant lineages into the rainforest (Simon et al., 2009; Simon and Pennington, 2012,
In terms of morphological trait variation in Afzelia, dry forest species (A. africana and A. quanzensis) are clearly differentiated from rainforests species (A. bella, A. bipindensis, and A. parviflora) based on vegetative and floral variables (
Evolutionary Radiation of the African Rainforest Species
Previous Sanger sequencing of two nuclear and three plastid regions revealed extensive allele sharing across the rainforest clade of Afzelia. Accessions of the same species were scattered across the trees (
In Afzelia, autopolyploidization occurred prior to rapid speciation in the rainforests, suggesting the role of whole-genome duplications in the onset of adaptive radiations. Polyploidy represents an immediate source of genetic novelty that may promote evolutionary changes and divergence (Wood et al., 2007). Rapid speciation events immediately after polyploidization are well known in the evolution of plant groups and point at the success of whole-genome duplications as triggers of speciation (Soltis et al., 2007). The rainforest Afzelia species correspond to monophyletic clades, although the clade support varied depending on the filtering parameters used to generate the datasets as well as on the phylogenetic method chosen. This weaker phylogenetic support suggests incomplete lineage sorting in the tetraploid species, which is consistent with their more recent diversification and the larger effective population sizes of tetraploid organisms (
Coalescent-Based Phylogenetics and Population Genetics of Multiple Nuclear Loci for Species Delimitation in Recent Radiations
In the rainforest clade of Afzelia, phylogenomic analysis revealed short branches among species, in line with a scenario of recent radiation, and revealed the superior performance of the coalescent-based over the concatenation-based methods. Using concatenation-based trees, the topology changed depending on the filtering parameters, which might be explained by the poor performance of this approach under highly incomplete lineage sorting, typically found in cases of rapid speciation (
Forcing the rainforest radiation into bifurcating phylogenetic trees may be problematic because of the age of the radiation and potential for interspecific gene flow. Therefore, we explored the possibility of reticulate evolution using a population genetics approach implemented in TreeMix. Using genome-wide SNPs we found no evidence for gene flow between rainforest species despite their rapid genetic differentiation and sympatric distribution. Given the limited sample sizes within species it is possible that we have missed introgression events limited to sympatric populations of both species. Nevertheless, our analyses identified possible hybridization events that led to incorporation of genetic variation from savannah to rainforest species after the split of the main lineages. Such hybridization events could potentially explain the previously observed cyto-nuclear incongruence, where A. quanzensis grouped with rainforest species for plastid DNA but with A. africana for two nuclear regions (
Similar to
Conclusion
We have elucidated the evolutionary history of the widespread emblematic and threatened African tree species of the genus Afzelia using genome-wide multilocus data. While the genus was previously recognized as a species complex (
Statements
Data availability statement
Fasta reference sequence is available from the Dryad data repository: https://datadryad.org/stash/share/QK6Ay8vq7grepB66aGWp42Ir8PCwjrpSR2IXUqX4rRk. Raw fastq sequences of GBS data are being submitted to GenBank’s Sequence Read Archive.
Author contributions
AD, MH, and RP conceived the study. All authors collected the data, performed the analyses, interpreted the results, and contributed to drafting and writing the manuscript.
Funding
The authors thank the “Fonds pour la Formation à la Recherche dans l’Industrie et l’Agriculture (FRIA-FNRS, Belgium),” the Marie Curie FP7-PEOPLE-2012-IEF program (project AGORA awarded to RP), the Fonds de la Recherche Scientifique (F.R.S.-FNRS through grant J.0292.17F), the Belgian Science Policy (project AFRIFORD), and the DynAfFor project (funded by FFEM-AFD) for funding this research. This work has also benefited from an “Investissements d’Avenir” grant managed by Agence Nationale de la Recherche (CEBA: ANR-10-LABX-25-01).
Acknowledgments
The authors acknowledge a “Patrimoine de l’Université de Liège” and Labex COTE mobility grant provided to ASLD at INRAE; Nature+, Esra Kaymak and Barbara Leal for technical assistance, M. Thomas P. Gilbert for hosting the GBS labwork performed by RP at the University of Copenhagen, Jérôme Chave et Bernadette Grosso for providing Peltogyne specimens (BRIDGE collection) and R. Toby Pennington (Geography, College of Life and Environmental Sciences, University of Exeter – United Kingdom) for contributing to the discussion on tropical biome-shifts.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2020.00798/full#supplementary-material
MATERIAL S1Sample origins (fresh and herbarium material) of plant tissue samples used for the phylogenetic analyses of Afzelia. “na” means that no collector or voucher names are mentioned on the specimen consulted and studied.
MATERIAL S2The parameters used in PyRAD for de novo assembly.
MATERIAL S3Results from de novo assembling of 30 Afzelia and Intsia accessions. (nloci) is the number of loci identified in the intra-accession clustering; (f1loci) is the number of loci with >N depth coverage; (f2loci) number of loci with >N depth and passed paralog filter; (nsites) number of sites across f loci; (npoly) number of polymorphic sites in nsites; (poly) frequency of polymorphic sites. H and E are heterozygosity and error rate, respectively.
Footnotes
1.^https://github.com/najoshi/sabre
2.^http://sourceforge.net/projects/picard/files/picard-tools/1.96/
4.^http://tree.bio.ed.ac.uk/software/figtree/
5.^https://github.com/edgardomortiz/vcf2phylip
6.^https://github.com/mmatschiner/snapp_prep
7.^http://beast.bio.ed.ac.uk/tracer/
8.^http://beast.bio.ed.ac.uk/LogCombiner
References
1
AinoucheM. L.FortuneP. M.SalmonA.ParisodC.GrandbastienM. A.FukunagaK.et al (2009). Hybridization, polyploidy and invasion: lessons from Spartina (Poaceae).Biol. Invasions11:1159. 10.1007/s10530-008-9383-2
2
AndersonB. M.ThieleK. R.KraussS. L.BarrettM. D. (2017). Genotyping-by-sequencing in a species complex of Australian hummock grasses (Triodia): methodological insights and phylogenetic resolution.PLoS One12:e0171053. 10.1371/journal.pone.0171053
3
AndrewsS. (2010). FastQC: A Quality Control Tool for High Throughput Sequence Data. Available online at: http://www.bioinformatics.babraham.ac.uk/projects/fastqc(accessed March, 2017).
4
AnhufD.LedruM. P.BehlingH.Da CruzF. W.Jr.CordeiroR. C.Van der HammenT.et al (2006). Paleo-environmental change in Amazonian and African rainforest during the LGM.Palaeogeogr. Palaeoclimatol. Palaeoecol.239510–527. 10.1016/j.palaeo.2006.01.017
5
ArianiA.BernyM.TeranJ. C.GeptsP. (2016). Genome-wide identification of SNPs and copy number variation in common bean (Phaseolus vulgaris L.) using genotyping-by-sequencing (GBS).Mol. Breed.36:87.
6
ArnoldB.BombliesK.WakeleyJ. (2012). Extending coalescent theory to autotetraploids.Genetics192195–204. 10.1534/genetics.112.140582
7
AubrévilleA. (1959). La flore forestière De La Côte d’Ivoire, Vol. I., 2 Edn. Nogent-sur-Marne: Centre Technique Forestier Tropical.
8
AubrévilleA. (1968). Légumineuses – Césalpinioidées. Flore du Gabon.Muséum Natl. d’Histoire Nat.15111–118.
9
AubrévilleA. (1970). Légumineuses - Césalpinioidées (Leguminosae - Caesalpinioideae).Flore Cameroun9:339.
10
BolgerA. M.LohseM.UsadelB. (2014). Trimmomatic: a flexible trimmer for Illumina sequence data.Bioinformatics302114–2120. 10.1093/bioinformatics/btu170
11
BouckaertR.HeledJ. (2014). DensiTree 2: seeing trees through the forest.bioRxiv [Preprint]. 10.1101/012401
12
BouckaertR.HeledJ.KühnertD.VaughanT.WuC.-H.XieD.et al (2014). BEAST 2: a software platform for Bayesian evolutionary analysis.PLoS Comput. Biol.10:e1003537. 10.1371/journal.pcbi.1003537
13
BruneauA.MercureM.LewisG. P.HerendeenP. S. (2008). Phylogenetic patterns and diversification in the caesalpinioid legumes.Botany86697–718. 10.1139/b08-058
14
BryantD.BouckaertR.FelsensteinJ.RosenbergN. A.RoyChoudhuryA. (2012). Inferring species trees directly from biallelic genetic markers: bypassing gene trees in a full coalescent analysis.Mol. Biol. Evol.291917–1932. 10.1093/molbev/mss086
15
BurnhamR. J.JohnsonK. (2004). South American palaeobotany and the origins of neotropical rainforests.Philos. T. Roy. Soc. B3591595–1610. 10.1098/rstb.2004.1531
16
CerlingT. E.HarrisJ. M.McFaddenB. J.LeakeyM. G.QuadeJ.EisenmannV.et al (1997). Global vegetation change through the Miocene/Pliocene boundary.Nature389153–158. 10.1038/38229
17
ChevalierA. (1940). Sur un arbre du Cameroun et du Gabon à bois utilisable (Afzelia pachyloba Harms).Bot. Appl. Agricult. Trop.19484–488. 10.3406/jatba.1939.6006
18
CrispM. D.ArroyoM. T.CookL. G.GandolfoM. A.JordanG. J.McGloneM. S.et al (2009). Phylogenetic biome conservatism on a global scale.Nature458754–756. 10.1038/nature07764
19
DaïnouK.Blanc-JolivetC.DegenB.KimaniP.Ndiade-BourobouD.DonkpeganA. S. L.et al (2016). Revealing hidden species diversity in sister species using SNPs and SSRs on a systematically collected sample – A case study in the African tree genus Milicia.BMC Evol.16:259. 10.1186/s12862-016-0831-9
20
DanecekP.AutonA.AbecasisG.AlbersC. A.BanksE.DePristoM. A.et al (2011). The variant call format and VCFtools.Bioinformatics272156–2158. 10.1093/bioinformatics/btr330
21
DepristoM. A.BanksE.PoplinR.GarimellaK. V.MaguireJ. R.HartlC.et al (2011). A framework for variation discovery and genotyping using next-generation DNA sequencing data.Nat. Genet.43491–498.
22
DonkpeganA. S. L. (2017). Evolutionary History of Afzelia Smith (Leguminosae - Caesalpinioideae) Complex in Forest and Savannah Ecosystems of Tropical Africa.175. PhD thesis, University of Liège – Gembloux Agro-Bio Tech, Belgium.
23
DonkpeganA. S. L.DoucetJ.-L.DainouK.HardyO. J. (2015). Microsatellite development and flow cytometry in the african tree genus Afzelia (Fabaceae. Caesalpinioideae) reveal a polyploid complex.Appl. Plant Sci.3:1400097. 10.3732/apps.1400097
24
DonkpeganA. S. L.DoucetJ.-L.MiglioreJ.DuminilJ.DaïnouK.RosaliaP.et al (2017). Evolution in African tropical trees displaying ploidy-habitat association: the genus Afzelia (Leguminosae).Mol. Phyl. Evol.107270–281. 10.1016/j.ympev.2016.11.004
25
DonkpeganA. S. L.HardyO. J.LejeuneP.OumorouM.DainouK.DoucetJ.-L. (2014). Un complexe d’espèces d’Afzelia des forêts africaines d’intérêt économique et écologique (synthèse bibliographique).Biotechnol. Agron. Soc. Environ.18233–246.
26
DonkpeganA. S. L.PiñeiroR.HeuertzM.DuminilJ.DaïnouK.DoucetJ.-L.et al (2020). Population genomics of the widespread African savannah trees Afzelia africana and Afzelia quanzensis reveals no significant past fragmentation of their distribution ranges.Am. J. Bot.107498–509. 10.1002/ajb2.1449
27
DonoghueM. J.EdwardsE. J. (2014). Biome shifts and niche evolution in plants.Ann. Rev. Ecol. Evol. Syst.45547–572. 10.1146/annurev-ecolsys-120213-091905
28
DoyleJ. J.DoyleJ. L. (1987). A rapid DNA isolation procedure for small quantities of fresh leaf tissue.Phytochem. Bull.1911–15.
29
DrummondA. J.RambautA. (2007). BEAST: Bayesian evolutionary analysis by sampling trees.BMC Evol. Biol.7:214. 10.1186/1471-2148-7-214
30
DrummondA. J.SuchardM. A.XieD.RambautA. (2012). Bayesian P hylogenetics with BEAUti and the BEAST 1.7 Research article.Soc. Mol. Biol. Evol.291969–1973. 10.1093/molbev/mss075
31
DuminilJ.KenfackD.ViscosiV.GrumiauL.HardyO. J. (2012). Testing species delimitation in sympatric species complexes: the case of an African tropical tree, Carapa spp.(Meliaceae).Mol. Phylogenet. Evol.62275–285. 10.1016/j.ympev.2011.09.020
32
EatonD. A.ReeR. H. (2013). Inferring phylogeny and introgression using RADseq data: an example from flowering plants (Pedicularis: Orobanchaceae).Syst. Biol.62689–706. 10.1093/sysbio/syt032
33
ElshireR. J.GlaubitzJ. C.SunQ.PolandJ. A.KawamotoK.BucklerE. S.et al (2011). A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species.PLoS One6:e19379. 10.1371/journal.pone.0019379
34
EscuderoM.EatonD. A. R.HahnM.HippA. L. (2014). Genotyp- ing-By-Sequencing as a tool to infer phylogeny and ancestral hybridization: a case study in Carex (Cyperaceae).Mol. Phylogenet. Evol.79359–367. 10.1016/j.ympev.2014.06.026
35
EsselstynJ. A.EvansB. J.SedlockJ. L.Anwarali KhanF. A.HeaneyL. R. (2012). Single-locus species delimitation: a test of the mixed Yule–coalescent model, with an empirical application to Philippine round-leaf bats.Proc. R. Soc. B Biol. Sci.2793678–3686. 10.1098/rspb.2012.0705
36
EzardT.FujisawaT.BarracloughT. (2013). R package splits: SPecies’ LImits by Threshold Statistics, version 1.0-18/r45. Available online at: http://r-forge.r-project.org/projects/splits/(accessed September, 2019).
37
Fernández-MazuecosM.MellersG.VigalondoB.SáezL.VargasP.GloverB. J. (2018). Resolving recent plant radiations: power and robustness of genotyping-by-sequencing.Syst. Biol.67250–268. 10.1093/sysbio/syx062
38
FreitasC. G.BaconC. D.Souza-NetoA. C.CollevattiR. G. (2019). Adjacency and area explain species bioregional shifts in neotropical palms.Front. Plant Sci.10:55. 10.3389/fpls.2019.00055
39
FujisawaT.BarracloughT. G. (2013). Delimiting species using single-locus data and the Generalized Mixed Yule Coalescent approach: a revised method and evaluation on simulated data sets.Syst. Biol.62707–724. 10.1093/sysbio/syt033
40
HeledJ.DrummondA. J. (2015). Calibrated birth–death phylogenetic time-tree priors for bayesian inference.Syst. Biol.64369–383. 10.1093/sysbio/syu089
41
HeuertzM.CaronH.Scotti-SaintagneC.PétronelliP.EngelJ.TysklindN.et al (2020). The hyperdominant tropical tree Eschweilera coriacea (Lecythidaceae) shows higher genetic heterogeneity than sympatric Eschweilera species in French Guiana.Plant Ecol. Evol.15367–81. 10.5091/plecevo.2020.1565
42
HeuertzM.DuminilJ.DaubyG.SavolainenV.HardyO. J. (2014). Comparative phylogeography in rainforest trees from Lower Guinea. Africa.PLoS One9:e84307. 10.1371/journal.pone.0084307
43
HippA. L.EatonD. A. R.Cavender-BaresJ.FitzekE.NipperR.ManosP. S. (2014). A framework phylogeny of the American oak clade based on sequenced RAD data.PLoS One9:e93975. 10.1371/journal.pone.0093975
44
HolsteinN.RennerS. S. (2011). A dated phylogeny and collection records reveal repeated biome shifts in the African genus Coccinia (Cucurbitaceae).BMC Evol. Biol.11:28. 10.1186/1471-2148-11-28
45
IkabangaD. U.StévartT.KoffiG. K.MontheF. K.DoubindouN. E. C.DaubyG.et al (2017). Combining morphology and population genetic analysis uncover species delimitation in the widespread African tree genus Santiria (Burseraceae).Phytotaxa321166–180.
46
Institut National pour l’Etude Agronomique du Congo-belge [INEAC] (1952). Spermatophytes. Flore du Congo Belge et du Ruanda-Urundi.Bruxelles: INEAC, 579.
47
International Union for Conservation of Nature and Natural Resources [IUCN] (2012). IUCN Red List of Threatened Species. Available online at: www.iucnredlist.org(accessed January 08, 2012).
48
JacobsB. F. (2004). Palaeobotanical studies from tropical Africa: relevance to the evolution of forest, woodland and savannah biomes.Philos. Trans. R. Soc. Lond. B Biol. Sci.3591573–1583. 10.1098/rstb.2004.1533
49
JacobsB. F.PanA. D.ScoteseC. R. (2010). A review of the Cenozoic vegetation history of Africa. Cenozoic Mammals of Africa.Berkeley: University of California Press, 57–72.
50
KadiriA. B.OlowokudejoJ. D. (2008). Comparative foliar epidermal morphology of the West African species of the genus Afzelia Smith (Leguminosae: Caesalpinioideae).Gayana Bot.6584–92.
51
KoffiK. G.HeuertzM.DoumengeC.OnanaJ. M.GavoryF.HardyO. J. (2010). A combined analysis of morphological traits, chloroplast and nuclear DNA sequences within Santiria trimera (Burseraceae) suggests several species following the Biological Species Concept.Plant Ecol. Evol.143160–169. 10.5091/plecevo.2010.433
52
LeachéA. D.BanburyB. L.FelsensteinJ.de OcaA. N. -M.StamatakisA. (2015). Short tree, long tree, right tree, wrong tree: new acquisition bias corrections for inferring SNP phylogenies.Syst. Biol.641032–1047. 10.1093/sysbio/syv053
53
LéonardJ. J. G. (1950). Notes sur les genres paleotropicaux Afzelia, Intsia et Pahudia (Legum. Caesalp.).Reinwardtia161–66.
54
LewisP. O. (2001). A likelihood approach to estimating phylogeny from discrete morphological character data.Syst. Biol.50913–925. 10.1080/106351501753462876
55
LiH.DurbinR. (2009). Fast and accurate short read alignment with Burrows–Wheeler transform.Bioinformatics251754–1760. 10.1093/bioinformatics/btp324
56
LiH.HandsakerB.WysokerA.FennellT.RuanJ.HomerN.et al (2009). The sequence alignment/map format and SAMtools.Bioinformatics252078–2079. 10.1093/bioinformatics/btp352
57
LischerH. E. L.ExcoffierL. (2012). PGDSpider: An automated data conversion tool for connecting population genetics and genomics programs.Bioinformatics28298–299. 10.1093/bioinformatics/btr642
58
LissambouB-J.HardyO. J.AttekeC.StevartT.DaubyG.MbatchiB.et al (2018). Taxonomic revision of the African genus Greenwayodendron (Annonaceae).Phytokeys11455–93. 10.3897/phytokeys.114.27395
59
LPWG (2017). A new subfamily classification of the Leguminosae based on a taxonomically comprehensive phylogeny.Taxon6644–77.
60
MaurinO.DaviesT. J.BurrowsJ. E.DaruB. H.YessoufouK.MuasyaA.M.et al (2014). Savanna fire and the origins of the ‘underground forests’ of Africa.New Phytol.204201–214. 10.1111/nph.12936
61
MillerM. A. (2009). The CIPRES Portals. CIPRES. Arch. By WebCite(r). Available online at: https://www.webcitation.org/5imQlJeQa(accessed December, 2019).
62
MillerC. S.GoslingW. D. (2014). Quaternary forest associations in lowland tropical West Africa.Quat. Sci. Rev.847–25. 10.1016/j.quascirev.2013.10.027
63
MontheF. K.MiglioreJ.DuminilJ.BoukaG.DemenouB. B.DoumengeC.et al (2019). Phylogenetic relationships in two African Cedreloideae tree genera (Meliaceae) reveal multiple rain/dry forest transitions.Perspect. Plant Ecol. Evol. Syst.371–10. 10.1016/j.ppees.2019.01.002
64
MorleyR. J. (2000). Origin and Evolution of Tropical Rain Forests.New York, NY: John Wiley & Sons.
65
NicotraA. B.ChongC.BraggJ. G.OngC. R.AitkenN. C.ChuahA.et al (2016). Population and phylogenomic decomposition via genotyping-by-sequencing in Australian Pelargonium.Mol. Ecol.252000–2014. 10.1111/mec.13584
66
PanA. D.JacobsB. F.HerendeenP. S. (2010). Detarieae sensu lato (Fabaceae) from the Late Oligocene (27.23 Ma) Guang River flora of north-western Ethiopia.Bot. J. Linn. Soc.16344–54. 10.1111/j.1095-8339.2010.01044.x
67
ParadisE.ClaudeJ.StrimmerK. (2004). APE: analyses of phylogenetics and evolution in R language.Bioinformatics20289–290. 10.1093/bioinformatics/btg412
68
PenningtonR. T.HughesC. E. (2014). The remarkable congruence of New and Old World savannah origins.New Phytol.2044–6. 10.1111/nph.12996
69
PenningtonR. T.LavinM. (2016). The contrasting nature of woody plant species in different neotropical forest biomes reflects differences in ecological stability.New Phytol.21025–37. 10.1111/nph.13724
70
PickrellJ. K.PritchardJ. K. (2012). Inference of population splits and mixtures from genome-wide allele frequency data.PLoS Genet.e1002967. 10.1371/journal.pgen.1002967
71
PinheiroF.De BarrosF.Palma-SilvaC.MeyerD.FayM. F.SuzukiR. M.et al (2010). Hybridization and introgression across different ploidy levels in the Neotropical orchids Epidendrum fulgens and E. puniceoluteum (Orchidaceae).Mol. Ecol.193981–3994. 10.1111/j.1365-294x.2010.04780.x
72
PlanaV. (2004). Mechanisms and tempo of evolution in the African Guineo-Congolian rainforest.Philos. Trans. R. Soc. B Biol. Sci.3591585–1594. 10.1098/rstb.2004.1535
73
PonsJ.BarracloughT. G.Gomez-ZuritaJ.CardosoA.DuranD. P.HazellS.et al (2006). Sequence-based species delimitation for the DNA taxonomy of undescribed insects.Syst. Biol.55595–609. 10.1080/10635150600852011
74
R Core Team (2017). R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing. Available online at: http://www.R-project.org/
75
RambautA. (2007). FigTree, a Graphical Viewer of Phylogenetic Trees. Available online at: http://tree.bio.ed.ac.uk/software/Figtree/(accessed March, 2020).
76
RambautA.DrummondA. J. (2016). Tracer v 1.6.Scotland: University of Edinburg, 2007.
77
RognesT.FlouriT.NicholsB.QuinceC.MahéF. (2016). VSEARCH: a versatile open source tool for metagenomics.PeerJ4:e2584. 10.7717/peerj.2584
78
SackL.ScoffoniC. (2013). Leaf venation: structure, function, development, evolution, ecology and applications in the past, present and future.New Phytol.198983–1000. 10.1111/nph.12253
79
SalzmannU.HoelzmannP. (2005). The Dahomey Gap: an abrupt climatically induced rain forest fragmentation in West Africa during the late Holocene.Holocene15190–199. 10.1191/0959683605hl799rp
80
SarntheinM.FennerJ. (1988). Global wind-induced change of deep-sea sediment budgets, new ocean production and CO2 reservoirs ca. 3.3–2.35 Ma BP.Philos. Trans. R. Soc. London, Ser. A318487–504. 10.1098/rstb.1988.0020
81
SatabiéB. (1994). Biosystématique et Vicariance dans la flore Camerounaise.Bull. Jard. Bot. Nat. Belg.63125–170.
82
SenutB.PickfordM.SégalenL. (2009). Neogene desertification of Africa.Comptes Rendus. Geosci.341591–602. 10.1016/j.crte.2009.03.008
83
SimonM. F.GretherR.de QueirozL. P.SkemaC.PenningtonR. T.HughesC. E. (2009). Recent assembly of the Cerrado, a neotropical plant diversity hotspot, by in situ evolution of adaptations to fire.Proc. Natl. Acad. Sci. U.S.A.10620359–20364. 10.1073/pnas.0903410106
84
SimonM. F.PenningtonR. T. (2012). The evolution of adaptations of woody plants in the savannas of the Brazilian cerrado.Int. J. Plant Sci.173711–723.
85
SoltisD. E.SoltisP. S.SchemskeD. W.HancockJ. F.ThompsonJ. N.HusbandB. C.et al (2007). Autopolyploidy in angiosperms: have we grossly underestimated the number of species?Taxon5613–30.
86
StamatakisA. (2014). RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies.Bioinformatics301312–1313. 10.1093/bioinformatics/btu033
87
StangeM.Sanchez-VillagraM. R.SalzburgerW.MatschinerM. (2018). Bayesian divergence-time estimation with genome-wide single-nucleotide polymorphism data of sea catfishes (Ariidae) supports Miocene closure of the Panamanian Isthmus.Syst. Biol.6681–699. 10.1093/sysbio/syy006
88
TngD. Y. P.JordanG. J.BowmanD. M. J. S. (2013). Plant traits demonstrate that temperate and tropical giant eucalypt forests are ecologically convergent with rainforest not savanna.PLoS One8:e0084378. 10.1371/journal.pone.0084378
89
TossoF.HardyO. J.DoucetJ. L.DaïnouK.KaymakE.MiglioreJ. (2018). Evolution in the Amphi- Atlantic tropical genus Guibourtia (Fabaceae, Detarioideae), combining NGS phylogeny and morphology.Mol. Phylogenet. Evol.12083–93. 10.1016/j.ympev.2017.11.026
90
Veranso-LibalahM. C.KadereitG.StoneR. D.CouvreurT. L. P. (2018). Multiple shifts to open habitats in Melastomateae (Melastomataceae) congruent with the increase of African Neogene climatic aridity.J. Biogeogr.451420–1431. 10.1111/jbi.13210
91
WiensJ. J.DonoghueM. J. (2004). Historical biogeography, ecology, and species richness.Trends Ecol. Evol.19639–644. 10.1016/j.tree.2004.09.011
92
WoodT. E.TakebayashiN.BarkerM. S.MayroseI.GreenspoonP. B.RiesebergL. H. (2007). The frequency of polyploid speciation in vascular plants.Proc. Natl. Acad. Sci. U.S.A.10613875–13879. 10.1073/pnas.0811575106
93
ZachosJ. C.DickensG. R.ZeebeR. E. (2008). An early Cenozoic perspective on greenhouse warming and carbon-cycle dynamics.Nature451279–283. 10.1038/nature06588
94
ZhangJ.KapliP.PavlidisP.StamatakisA. (2013). A general species delimitation method with applications to phylogenetic placements.Bioinformatics292869–2876. 10.1093/bioinformatics/btt499
95
YuleG. U. (1925). A mathematical theory of evolution, based on the conclusions of Dr. J. C. Willis. F.R.S.Philos. Trans. R. Soc. B Biol. Sci.21321–87. 10.1098/rstb.1925.0002
Summary
Keywords
Afzelia, Leguminosae (Detarioideae), high-throughput sequencing, phylogenomics, coalescent approaches, biome shift, molecular dating, species trees
Citation
Donkpegan ASL, Doucet J-L, Hardy OJ, Heuertz M and Piñeiro R (2020) Miocene Diversification in the Savannahs Precedes Tetraploid Rainforest Radiation in the African Tree Genus Afzelia (Detarioideae, Fabaceae). Front. Plant Sci. 11:798. doi: 10.3389/fpls.2020.00798
Received
13 December 2019
Accepted
19 May 2020
Published
17 June 2020
Volume
11 - 2020
Edited by
Juan Viruel, Royal Botanic Gardens, Kew, United Kingdom
Reviewed by
Carolina Carrizo García, Instituto Multidisciplinario de Biologia Vegetal (IMBIV), Argentina; Jun Ying Lim, Nanyang Technological University, Singapore
Updates

Check for updates
Copyright
© 2020 Donkpegan, Doucet, Hardy, Heuertz and Piñeiro.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Armel S. L. Donkpegan, armel.donkpegan@gmail.com
†These authors have contributed equally to this work
This article was submitted to Plant Systematics and Evolution, a section of the journal Frontiers in Plant Science
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.