PhyloHerb: A phylogenomic pipeline for processing genome skimming data for plants

Premise of the study: The application of high throughput sequencing, especially to herbarium specimens, is greatly accelerating biodiversity research. Among various techniques, low coverage Illumina sequencing of total genomic DNA (genome skimming) can simultaneously recover the plastid, mitochondrial, and nuclear ribosomal regions across hundreds of species. Here, we introduce PhyloHerb -- a bioinformatic pipeline to efficiently and effectively assemble phylogenomic datasets derived from genome skimming. Methods and Results: PhyloHerb uses either a built-in database or user-specified references to extract orthologous sequences using BLAST search. It outputs FASTA files and offers a suite of utility functions to assist with alignment, data partitioning, concatenation, and phylogeny inference. The program is freely available at https://github.com/lmcai/PhyloHerb/. Conclusions: Using published data from Clusiaceae, we demonstrated that PhyloHerb can accurately identify genes using highly fragmented assemblies derived from sequencing older herbarium specimens. Our approach is effective at all taxonomic depths and is scalable to thousands of species.

Chloroplast genome sequencing based on genome skimming for identification of Eriobotryae Folium

Background Whole chloroplast genome (cpDNA) sequence is becoming widely used in the phylogenetic studies of plant and species identification, but in most cases the cpDNA were acquired from silica gel dried fresh leaves. So far few reports have been available to describe cpDNA acquisition from crude drugs derived from plant materials, the DNA of which usually was seriously damaged during their processing. In this study, we retrieved cpDNA from the commonly used crude drug Eriobotryae Folium (Pipaye in Chinese, which is the dried leaves of Eriobotrya japonica, PPY) using genome skimming technique. Results We successfully recovered cpDNA sequences and rDNA sequences from the crude drug PPY, and bioinformatics analysis showed a high overall consistency between the cpDNA obtained from the crude drugs and fresh samples. In the ML tree, each species formed distinct monophyletic clades based on cpDNA sequence data, while the phylogenetic relationships between Eriobotrya species were poorly resolved based on ITS and ITS2. Conclusion Our results demonstrate that both cpDNA and ITS/ITS2 are effective for identifying PPY and its counterfeits derived from distantly related species (i.e. Dillenia turbinata and Magnolia grandiflora), but cpDNA is more effective for distinguishing the counterfeits derived from the close relatives of Eriobotrya japonica, suggesting the potential of genome skimming for retrieving cpDNA from crude drugs used in Traditional Chinese Medicine for their identification.

Proposal to recognise the tribes Adinobotryeae and Glycyrrhizeae (Leguminosae subfamily Papilionoideae) based on chloroplast phylogenomic evidence

Within the legume family, the taxonomic status of subtribe Glycyrrhizinae of tribe Galegeae and of the genus Adinobotrys has been re-assessed. Based on genome skimming data, we conducted phylogenomic analyses of the inverted repeat-lacking clade within subfamily Papilionoideae. The results support the sister relationship between Glycyrrhizeae and Adinobotrys. Glycyrrhizeae is resurrected based on Glycyrrhiza and Glycyrrhizopsis, and a new tribe, Adinobotryeae, is proposed to accommodate Adinobotrys.

Towards the extended barcode concept: Generating DNA reference data through genome skimming of danish plants

Recently, there has been a push towards the extended barcode concept of utilising chloroplast genomes (cpGenome) and nuclear ribosomal DNA (nrDNA) sequences for molecular identification of plants instead of the standard barcode regions. These extended barcodes has a wide range of applications, including biodiversity monitoring and assessment, primer design, and evolutionary studies. However, these extended barcodes are not well represented in global reference databases. To fill this gap, we generated cpGenomes and nrDNA reference data from genome skims of 184 plant species collected in Denmark. We further explored the application of our generated reference data for molecular identifications of plants in an environmental DNA metagenomics study. We assembled partial cpGenomes for 82.1% of sequenced species and full or partial nrDNA sequences for 83.7% of species. We added all assemblies to GenBank, of which chloroplast reference data from 101 species and nuclear reference data from 6 species were not previously represented. On average, we recovered 45 genes per species. The rate of recovery of standard barcodes was higher for nuclear barcodes (>89%) than chloroplast barcodes (< 60%). Extracted DNA yield did not affect assembly outcome, whereas high GC content did so negatively. For the in silico simulation of metagenomic reads, taxonomic assignments using the reference data generated had better species resolution (94.9%) as compared to GenBank (18.1%) without any identification errors. Genome skimming generates reference data of both standard barcodes and other loci, contributing to the global DNA reference database for plants.

Reassessing Banana Phylogeny and Organelle Inheritance Modes Using Genome Skimming Data

Bananas (Musa spp.) are some of the most important fruit crops in the world, contributing up to US$10 billion in export values annually. In this study, we use high-throughput sequencing to obtain genomic resources of high-copy DNA molecules in bananas. We sampled 13 wild species and eight cultivars that represent the three genera (Ensete, Musa, and Musella) of the banana family (Musaceae). Their plastomic, 45S rDNA, and mitochondrial scaffolds were recovered from genome skimming data. Two major clades (Clades I &amp; II) within Musa are strongly supported by the three genomic compartment data. We document, for the first time, that the plastomes of Musaceae have expanded inverted repeats (IR) after they diverged from their two close relatives, Heliconiaceae (the lobster-claws) and Strelitziaceae (the traveler's bananas). The presence/absence of rps19 within IR regions reinforces the two intra-generic clades within Musa. Our comparisons of the bananas' plastomic and mitochondrial DNA sequence trees aid in identifying hybrid bananas' parentage. As the mitochondrial genes of Musa have elevated substitution rates, paternal inheritance likely plays an influential role on the Musa mitogenome evolution. We propose genome skimming as a useful method for reliable genealogy tracing and phylogenetics in bananas.