Skip to main content
dryadopen

Phylogenomics of mulberries (Morus, Moraceae) inferred from plastomes and single copy nuclear genes

<p><span>Mulberry (genus <em>Morus</em>), belonging to the order Rosales, family Moraceae, is an important woody plant due to its economic value in sericulture as well as for its nutritional benefits and medicinal values. However, the taxonomy and phylogeny of <em>Morus</em> remain challenging due to its wide geographical distribution, morphological plasticity, and interspecific hybridization. To better understand the evolutionary history of <em>Morus</em>, we combined plastomes and a large-scale nuclear gene to investigate their phylogenetic relationships in the present study. We assembled the plastomes and screened 211 single-copy nuclear genes from 14 <em>Morus</em> species and related taxa. The plastomes of <em>Morus</em> species were relatively conserved in terms of genome size, gene content and order, IR boundary and codon usage. Using nuclear data, we yielded completely identical topologies based on coalescent and concatenation methods, and multiple individuals of the same species were intraspecific monophyletic. The genus <em>Morus</em> was supported as a monophyly, and <em>M. notabilis</em> was recovered as the first diverging, and the two North American <em>Morus</em> species, <em>M. celtidifolia</em> and <em>M. rubra</em>, were sister to the other Asian species. However, the relationships of <em>Morus</em> based on plastomes were strongly incongruent with those from nuclear genes, and intraspecific non-monophyly was retrieved in the plastid phylogeny. Comparisons of nuclear and plastid phylogenies, and combining with the result of network inference, hybridization/introgression was regarded as the main cause of the discordance between nuclear and plastid phylogenies in the genus <em>Morus</em>. Overall, the robust phylogenetic relationships of <em>Morus</em> described here will be useful for genetic resources development of this economically important genus and exploitation of sericulture industry.</span></p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
12
Access
12
Reuse readiness
0
Engagement
8

Topics