Characterisation of the complete chloroplast genome of Solanum tuberosum cv. White Lady

Author:

Frank KrisztiánORCID,Nagy Erzsébet,Taller JánosORCID,Wolf István,Polgár ZsoltORCID

Abstract

AbstractPotato (Solanum tuberosum) is considered worldwide as one of the most important non-cereal food crops. As a result of its adaptability and worldwide production area, potato displays a vast phenotypical variability as well as genomic diversity. Chloroplast genomes have long been a core issue in plant molecular evolution and phylogenetic studies, and have an important role in revealing photosynthetic mechanisms, metabolic regulations and the adaptive evolution of plants. We sequenced the complete chloroplast genome of the Hungarian cultivar White Lady, which is 155 549 base pairs (bp) in length and is characterised by the typical quadripartite structure composed of a large- and small single-copy region (85 991 bp and 18 374 bp, respectively) interspersed by two identical inverted repeats (25 592 bp). The genome consists of 127 genes of which 82 are protein-coding, eight are ribosomal RNAs and 37 are transfer RNAs. The overall gene content and distribution of the genes on the White Lady chloroplast was the same as found in other potato chloroplasts. The alignment of S. tuberosum chloroplast genome sequences resulted in a highly resolved tree, with 10 out of the 13 nodes recovered having bootstrap values over 90%. By comparing the White Lady chloroplast genome with available S. tuberosum sequences we found that gene content and synteny are highly conserved. The new chloroplast sequence can support further studies of genetic diversity, resource conservation, evolution and applied agricultural research. The new sequence can support further potato genetic diversity and evolutionary studies, resource conservation, and also applied agricultural research.

Funder

National Research, Development and Innovation Office

Hungarian University of Agriculture and Life Sciences

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3