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Long-read sequencing and de novo genome assembly of Ammopiptanthus nanus, a desert shrub

Authors :
Yijun Zhou
Huigai Sun
Fei Gao
Xuming Li
Jinchao Feng
Huayun Li
Shanjun Wei
Xue Wang
Mingyue Xu
Merhaba Abla
Source :
GigaScience
Publication Year :
2018
Publisher :
Oxford University Press (OUP), 2018.

Abstract

Background Ammopiptanthus nanus is a rare broad-leaved shrub that is found in the desert and arid regions of Central Asia. This plant species exhibits extremely high tolerance to drought and freezing and has been used in abiotic tolerance research in plants. As a relic of the tertiary period, A. nanus is of great significance to plant biogeographic research in the ancient Mediterranean region. Here, we report a draft genome assembly using the Pacific Biosciences (PacBio) platform and gene annotation for A. nanus. Findings A total of 64.72 Gb of raw PacBio sequel reads were generated from four 20-kb libraries. After filtering, 64.53 Gb of clean reads were obtained, giving 72.59× coverage depth. Assembly using Canu gave an assembly length of 823.74 Mb, with a contig N50 of 2.76 Mb. The final size of the assembled A. nanus genome was close to the 889 Mb estimated by k-mer analysis. The gene annotation completeness was evaluated using Benchmarking Universal Single-Copy Orthologs; 1,327 of the 1,440 conserved genes (92.15%) could be found in the A. nanus assembly. Genome annotation revealed that 74.08% of the A. nanus genome is composed of repetitive elements and 53.44% is composed of long terminal repeat elements. We predicted 37,188 protein-coding genes, of which 96.53% were functionally annotated. Conclusions The genomic sequences of A. nanus could be a valuable source for comparative genomic analysis in the legume family and will be useful for understanding the phylogenetic relationships of the Thermopsideae and the evolutionary response of plant species to the Qinghai Tibetan Plateau uplift.

Details

ISSN :
2047217X
Database :
OpenAIRE
Journal :
GigaScience
Accession number :
edsair.doi.dedup.....d1d211cd09a071f27e64e9100e3a5c7e
Full Text :
https://doi.org/10.1093/gigascience/giy074