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Study of spontaneous mutations in the transmission of poplar chloroplast genomes from mother to offspring

Overview of attention for article published in BMC Genomics, May 2018
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Title
Study of spontaneous mutations in the transmission of poplar chloroplast genomes from mother to offspring
Published in
BMC Genomics, May 2018
DOI 10.1186/s12864-018-4813-8
Pubmed ID
Authors

Sheng Zhu, Meng Xu, Haoran Wang, Huixin Pan, Guangping Wang, Minren Huang

Abstract

Chloroplasts have their own genomes, independent from nuclear genomes, that play vital roles in growth, which is a major targeted trait for genetic improvement in Populus. Angiosperm chloroplast genomes are maternally inherited, but the chloroplast' variation pattern of poplar at the single-base level during the transmission from mother to offspring remains unknown. Here, we constructed high-quality and almost complete chloroplast genomes for three poplar clones, 'NL895' and its parents, 'I69' and 'I45', from the short-read datasets using multi-pass sequencing (15-16 times per clone) and ultra-high coverage (at least 8500× per clone), with the four-step strategy of Simulation-Assembly-Merging-Correction. Each of the three resulting chloroplast assemblies contained contigs covering > 99% of Populus trichocarpa chloroplast DNA as a reference. A total of 401 variant loci were identified by a hybrid strategy of genome comparison-based and mapping-based single nucleotide polymorphism calling. The genotypes of 94 variant loci were different among the three poplar clones. However, only 1 of the 94 loci was a missense mutation, which was located in the exon region of rpoC1 encoding the β' subunit of plastid-encoded RNA polymerase. The genotype of the loci in NL895 and its female parent (I69) was different from that of its male parent (I45). This research provides resources for further chloroplast genomic studies of a F1 full-sibling family derived from a cross between I69 and I45, and will improve the application of chloroplast genomic information in modern Populus breeding programs.

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Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Professor > Associate Professor 1 11%
Student > Bachelor 1 11%
Lecturer 1 11%
Unknown 4 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 22%
Nursing and Health Professions 1 11%
Agricultural and Biological Sciences 1 11%
Social Sciences 1 11%
Unknown 4 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 May 2018.
All research outputs
#20,514,440
of 23,081,466 outputs
Outputs from BMC Genomics
#9,329
of 10,705 outputs
Outputs of similar age
#290,603
of 331,250 outputs
Outputs of similar age from BMC Genomics
#220
of 262 outputs
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