scholarly journals De novo Assembly of the Burying Beetle Nicrophorus orbicollis (Coleoptera: Silphidae) Transcriptome Across Developmental Stages with Identification of Key Immune Transcripts

2018 ◽  
Vol 6 ◽  
pp. 41-52 ◽  
Author(s):  
Harim I. Won ◽  
Thomas T. Schulze ◽  
Emalie J. Clement ◽  
Gabrielle F. Watson ◽  
Sean M. Watson ◽  
...  
2022 ◽  
Author(s):  
Shinichi Morita ◽  
Tomoko F. Shibata ◽  
Tomoaki Nishiyama ◽  
Yuuki Kobayashi ◽  
Katsushi Yamaguchi ◽  
...  

Beetles are the largest insect order and one of the most successful animal groups in terms of number of species. The Japanese rhinoceros beetle Trypoxylus dichotomus (Coleoptera, Scarabaeidae, Dynastini) is a giant beetle with distinctive exaggerated horns present on the head and prothoracic regions of the male. T. dichotomus has been used as research model in various fields such as evolutionary developmental biology, ecology, ethology, biomimetics, and drug discovery. In this study, de novo assembly of 615 Mb, representing 80% of the genome estimated by flow cytometry, was obtained using the 10x Chromium platform. The scaffold N50 length of the genome assembly was 8.02 Mb, with repetitive elements predicted to comprise 49.5% of the assembly. In total, 23,987 protein-coding genes were predicted in the genome. In addition, de novo assembly of the mitochondrial genome yielded a contig of 20,217 bp. We also analyzed the transcriptome by generating 16 RNA-seq libraries from a variety of tissues of both sexes and developmental stages, which allowed us to identify 13 co-expressed gene modules. The detailed genomic and transcriptomic information of T. dichotomus is the most comprehensive among those reported for any species of Dynastinae. This genomic information will be an excellent resource for further functional and evolutionary analyses, including the evolutionary origin and genetic regulation of beetle horns and the molecular mechanisms underlying sexual dimorphism.


2012 ◽  
Vol 24 (2) ◽  
pp. 660-675 ◽  
Author(s):  
Anna Stengel ◽  
Irene L. Gügel ◽  
Daniel Hilger ◽  
Birgit Rengstl ◽  
Heinrich Jung ◽  
...  

2021 ◽  
Vol 18 (2) ◽  
pp. 170-175 ◽  
Author(s):  
Haoyu Cheng ◽  
Gregory T. Concepcion ◽  
Xiaowen Feng ◽  
Haowen Zhang ◽  
Heng Li
Keyword(s):  

Author(s):  
Guangtu Gao ◽  
Susana Magadan ◽  
Geoffrey C Waldbieser ◽  
Ramey C Youngblood ◽  
Paul A Wheeler ◽  
...  

Abstract Currently, there is still a need to improve the contiguity of the rainbow trout reference genome and to use multiple genetic backgrounds that will represent the genetic diversity of this species. The Arlee doubled haploid line was originated from a domesticated hatchery strain that was originally collected from the northern California coast. The Canu pipeline was used to generate the Arlee line genome de-novo assembly from high coverage PacBio long-reads sequence data. The assembly was further improved with Bionano optical maps and Hi-C proximity ligation sequence data to generate 32 major scaffolds corresponding to the karyotype of the Arlee line (2 N = 64). It is composed of 938 scaffolds with N50 of 39.16 Mb and a total length of 2.33 Gb, of which ∼95% was in 32 chromosome sequences with only 438 gaps between contigs and scaffolds. In rainbow trout the haploid chromosome number can vary from 29 to 32. In the Arlee karyotype the haploid chromosome number is 32 because chromosomes Omy04, 14 and 25 are divided into six acrocentric chromosomes. Additional structural variations that were identified in the Arlee genome included the major inversions on chromosomes Omy05 and Omy20 and additional 15 smaller inversions that will require further validation. This is also the first rainbow trout genome assembly that includes a scaffold with the sex-determination gene (sdY) in the chromosome Y sequence. The utility of this genome assembly is demonstrated through the improved annotation of the duplicated genome loci that harbor the IGH genes on chromosomes Omy12 and Omy13.


2018 ◽  
Vol 19 (2) ◽  
pp. 520 ◽  
Author(s):  
Le Zhao ◽  
Xinmei Zhang ◽  
Zhongying Qiu ◽  
Yuan Huang
Keyword(s):  

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