scholarly journals Phylogenomics investigation of sparids (Teleostei: Spariformes) using high-quality proteomes highlights the importance of taxon sampling

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Paschalis Natsidis ◽  
Alexandros Tsakogiannis ◽  
Pavlos Pavlidis ◽  
Costas S. Tsigenopoulos ◽  
Tereza Manousaki

Abstract Sparidae (Teleostei: Spariformes) are a family of fish constituted by approximately 150 species with high popularity and commercial value, such as porgies and seabreams. Although the phylogeny of this family has been investigated multiple times, its position among other teleost groups remains ambiguous. Most studies have used a single or few genes to decipher the phylogenetic relationships of sparids. Here, we conducted a thorough phylogenomic analysis using five recently available Sparidae gene-sets and 26 high-quality, genome-predicted teleost proteomes. Our analysis suggested that Tetraodontiformes (puffer fish, sunfish) are the closest relatives to sparids than all other groups used. By analytically comparing this result to our own previous contradicting finding, we show that this discordance is not due to different orthology assignment algorithms; on the contrary, we prove that it is caused by the increased taxon sampling of the present study, outlining the great importance of this aspect in phylogenomic analyses in general.

2019 ◽  
Author(s):  
P Natsidis ◽  
A Tsakogiannis ◽  
P Pavlidis ◽  
CS Tsigenopoulos ◽  
T Manousaki

ABSTRACTSparidae (Teleostei: Spariformes) are a family of fish constituted by approximately 150 species with high popularity and commercial value, such as porgies and seabreams. Although the phylogeny of this family has been investigated multiple times, its position among other teleost groups remains ambiguous. Most studies have used a single or few genes to decipher the phylogenetic relationships of sparids. Here, we conducted a phylogenomic attempt to resolve the position of the family using five recently available Sparidae gene-sets and 26 available fish proteomes from species with a sequenced genome, to ensure higher quality of the predicted genes. A thorough phylogenomic analysis suggested that Tetraodontiformes (puffer fish, sunfish) are the closest relatives to sparids than all other groups used, a finding that contradicts our previous phylogenomic analysis that proposed the yellow croaker and the european seabass as closest taxa of sparids. By analytically comparing the methodologies applied in both cases, we show that this discordance is not due to different orthology assignment algorithms; on the contrary, we prove that it is caused by the increased taxon sampling of the present study, outlining the great importance of this aspect in phylogenomic analyses in general.


PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3941 ◽  
Author(s):  
Alejandra Panzera ◽  
Adam D. Leaché ◽  
Guillermo D’Elía ◽  
Pedro F. Victoriano

The genusLiolaemusis one of the most ecologically diverse and species-rich genera of lizards worldwide. It currently includes more than 250 recognized species, which have been subject to many ecological and evolutionary studies. Nevertheless,Liolaemuslizards have a complex taxonomic history, mainly due to the incongruence between morphological and genetic data, incomplete taxon sampling, incomplete lineage sorting and hybridization. In addition, as many species have restricted and remote distributions, this has hampered their examination and inclusion in molecular systematic studies. The aims of this study are to infer a robust phylogeny for a subsample of lizards representing the Chilean clade (subgenusLiolaemus sensu stricto), and to test the monophyly of several of the major species groups. We use a phylogenomic approach, targeting 541 ultra-conserved elements (UCEs) and 44 protein-coding genes for 16 taxa. We conduct a comparison of phylogenetic analyses using maximum-likelihood and several species tree inference methods. The UCEs provide stronger support for phylogenetic relationships compared to the protein-coding genes; however, the UCEs outnumber the protein-coding genes by 10-fold. On average, the protein-coding genes contain over twice the number of informative sites. Based on our phylogenomic analyses, all the groups sampled are polyphyletic.Liolaemus tenuis tenuisis difficult to place in the phylogeny, because only a few loci (nine) were recovered for this species. Topologies or support values did not change dramatically upon exclusion ofL. t. tenuisfrom analyses, suggesting that missing data did not had a significant impact on phylogenetic inference in this data set. The phylogenomic analyses provide strong support for sister group relationships betweenL. fuscus,L. monticola,L. nigroviridisandL. nitidus, andL. plateiandL. velosoi. Despite our limited taxon sampling, we have provided a reliable starting hypothesis for the relationships among many major groups of the Chilean clade ofLiolaemusthat will help future work aimed at resolving theLiolaemusphylogeny.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
JiYoung Yang ◽  
Yu-Chung Chiang ◽  
Tsai-Wen Hsu ◽  
Seon-Hee Kim ◽  
Jae-Hong Pak ◽  
...  

AbstractGenus Rubus represents the second largest genus of the family Rosaceae in Taiwan, with 41 currently recognized species across three subgenera (Chamaebatus, Idaoeobatus, and Malochobatus). Despite previous morphological and cytological studies, little is known regarding the overall phylogenetic relationships among the Rubus species in Taiwan, and their relationships to congeneric species in continental China. We characterized eight complete plastomes of Taiwan endemic Rubus species: subg. Idaeobatus (R. glandulosopunctatus, R. incanus, R. parviaraliifolius, R rubroangustifolius, R. taitoensis, and R. taiwanicolus) and subg. Malachobatus (R. kawakamii and R. laciniastostipulatus) to determine their phylogenetic relationships. The plastomes were highly conserved and the size of the complete plastome sequences ranged from 155,566 to 156,236 bp. The overall GC content ranged from 37.0 to 37.3%. The frequency of codon usage showed similar patterns among species, and 29 of the 73 common protein-coding genes were positively selected. The comparative phylogenomic analysis identified four highly variable intergenic regions (rps16/trnQ, petA/psbJ, rpl32/trnL-UAG, and trnT-UGU/trnL-UAA). Phylogenetic analysis of 31 representative complete plastomes within the family Rosaceae revealed three major lineages within Rubus in Taiwan. However, overall phylogenetic relationships among endemic species require broader taxon sampling to gain new insights into infrageneric relationships and their plastome evolution.


PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12691
Author(s):  
Jiajia Wang ◽  
Yu Bai ◽  
Haifeng Zhao ◽  
Ruinan Mu ◽  
Yan Dong

Background There have been extensive debates on the interrelationships among the four major classes of Myriapoda—Chilopoda, Symphyla, Diplopoda, and Pauropoda. The core controversy is the position of Pauropoda; that is, whether it should be grouped with Symphyla or Diplopoda as a sister group. Two recent phylogenomic studies separately investigated transcriptomic data from 14 and 29 Myriapoda species covering all four groups along with outgroups, and proposed two different topologies of phylogenetic relationships. Methods Building on these studies, we extended the taxon sampling by investigating 39 myriapods and integrating the previously available data with three new transcriptomic datasets generated in this study. Our analyses present the phylogenetic relationships among the four major classes of Myriapoda with a more abundant taxon sampling and provide a new perspective to investigate the above-mentioned question, where visual genes’ identification were conducted. We compared the appearance pattern of genes, grouping them according to their classes and the visual pathways involved. Positive selection was detected for all identified visual genes between every pair of 39 myriapods, and 14 genes showed positive selection among 27 pairs. Results From the results of phylogenomic analyses, we propose that Symphyla is a sister group of Pauropoda. This stance has also received strong support from tree inference and topology tests.


Author(s):  
Hui Zhang ◽  
Yuexing Wang ◽  
Ce Deng ◽  
Sheng Zhao ◽  
Peng Zhang ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Maria Alejandra Serna-Sánchez ◽  
Oscar A. Pérez-Escobar ◽  
Diego Bogarín ◽  
María Fernanda Torres-Jimenez ◽  
Astrid Catalina Alvarez-Yela ◽  
...  

AbstractRecent phylogenomic analyses based on the maternally inherited plastid organelle have enlightened evolutionary relationships between the subfamilies of Orchidaceae and most of the tribes. However, uncertainty remains within several subtribes and genera for which phylogenetic relationships have not ever been tested in a phylogenomic context. To address these knowledge-gaps, we here provide the most extensively sampled analysis of the orchid family to date, based on 78 plastid coding genes representing 264 species, 117 genera, 18 tribes and 28 subtribes. Divergence times are also provided as inferred from strict and relaxed molecular clocks and birth–death tree models. Our taxon sampling includes 51 newly sequenced plastid genomes produced by a genome skimming approach. We focus our sampling efforts on previously unplaced clades within tribes Cymbidieae and Epidendreae. Our results confirmed phylogenetic relationships in Orchidaceae as recovered in previous studies, most of which were recovered with maximum support (209 of the 262 tree branches). We provide for the first time a clear phylogenetic placement for Codonorchideae within subfamily Orchidoideae, and Podochilieae and Collabieae within subfamily Epidendroideae. We also identify relationships that have been persistently problematic across multiple studies, regardless of the different details of sampling and genomic datasets used for phylogenetic reconstructions. Our study provides an expanded, robust temporal phylogenomic framework of the Orchidaceae that paves the way for biogeographical and macroevolutionary studies.


Author(s):  
Pu Liu ◽  
Wang Xiaojie ◽  
Dong Hongjie ◽  
Jianbin Lan ◽  
Kuan Liang ◽  
...  

Diaporthe spp. are critical plant pathogens that cause wood cankers, wilt, dieback, and fruit rot in a wide variety of economic plant hosts and are regarded as one of the most acute threats faced by kiwifruit industry worldwide. Diaporthe phragmitis strain NJD1 is a highly pathogenic isolate of soft rot of kiwifruit. Here, we present a high-quality genome-wide sequence of D. phragmitis NJD1 that was assembled into 28 contigs containing a total size of 58.33 Mb and N50 length of 3.55 Mb. These results lay a solid foundation for understanding host–pathogen interaction and improving disease management strategies.


Toxins ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 488 ◽  
Author(s):  
Shiyong Zhang ◽  
Jia Li ◽  
Qin Qin ◽  
Wei Liu ◽  
Chao Bian ◽  
...  

Naturally derived toxins from animals are good raw materials for drug development. As a representative venomous teleost, Chinese yellow catfish (Pelteobagrus fulvidraco) can provide valuable resources for studies on toxin genes. Its venom glands are located in the pectoral and dorsal fins. Although with such interesting biologic traits and great value in economy, Chinese yellow catfish is still lacking a sequenced genome. Here, we report a high-quality genome assembly of Chinese yellow catfish using a combination of next-generation Illumina and third-generation PacBio sequencing platforms. The final assembly reached 714 Mb, with a contig N50 of 970 kb and a scaffold N50 of 3.65 Mb, respectively. We also annotated 21,562 protein-coding genes, in which 97.59% were assigned at least one functional annotation. Based on the genome sequence, we analyzed toxin genes in Chinese yellow catfish. Finally, we identified 207 toxin genes and classified them into three major groups. Interestingly, we also expanded a previously reported sex-related region (to ≈6 Mb) in the achieved genome assembly, and localized two important toxin genes within this region. In summary, we assembled a high-quality genome of Chinese yellow catfish and performed high-throughput identification of toxin genes from a genomic view. Therefore, the limited number of toxin sequences in public databases will be remarkably improved once we integrate multi-omics data from more and more sequenced species.


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