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A Complete Sequence and Transcriptomic Analyses of Date Palm (Phoenix dactylifera L.) Mitochondrial Genome

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Title
A Complete Sequence and Transcriptomic Analyses of Date Palm (Phoenix dactylifera L.) Mitochondrial Genome
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0037164
Pubmed ID
Authors

Yongjun Fang, Hao Wu, Tongwu Zhang, Meng Yang, Yuxin Yin, Linlin Pan, Xiaoguang Yu, Xiaowei Zhang, Songnian Hu, Ibrahim S. Al-Mssallem, Jun Yu

Abstract

Based on next-generation sequencing data, we assembled the mitochondrial (mt) genome of date palm (Phoenix dactylifera L.) into a circular molecule of 715,001 bp in length. The mt genome of P. dactylifera encodes 38 proteins, 30 tRNAs, and 3 ribosomal RNAs, which constitute a gene content of 6.5% (46,770 bp) over the full length. The rest, 93.5% of the genome sequence, is comprised of cp (chloroplast)-derived (10.3% with respect to the whole genome length) and non-coding sequences. In the non-coding regions, there are 0.33% tandem and 2.3% long repeats. Our transcriptomic data from eight tissues (root, seed, bud, fruit, green leaf, yellow leaf, female flower, and male flower) showed higher gene expression levels in male flower, root, bud, and female flower, as compared to four other tissues. We identified 120 potential SNPs among three date palm cultivars (Khalas, Fahal, and Sukry), and successfully found seven SNPs in the coding sequences. A phylogenetic analysis, based on 22 conserved genes of 15 representative plant mitochondria, showed that P. dactylifera positions at the root of all sequenced monocot mt genomes. In addition, consistent with previous discoveries, there are three co-transcribed gene clusters-18S-5S rRNA, rps3-rpl16 and nad3-rps12-in P. dactylifera, which are highly conserved among all known mitochondrial genomes of angiosperms.

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Geographical breakdown

Country Count As %
Malaysia 2 2%
United States 1 <1%
Italy 1 <1%
Unknown 114 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 24%
Researcher 25 21%
Student > Master 15 13%
Student > Bachelor 8 7%
Professor > Associate Professor 6 5%
Other 15 13%
Unknown 21 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 51%
Biochemistry, Genetics and Molecular Biology 25 21%
Nursing and Health Professions 2 2%
Social Sciences 2 2%
Chemical Engineering 1 <1%
Other 5 4%
Unknown 23 19%