Convallaria keiskei
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ABSTRACT:
PROVIDER: PRJNA481678 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Convallaria keiskei Genome sequencing and assembly
| PRJNA825345 | ENA
Project description:Convallaria majalis Genome sequencing and assembly
| PRJNA769782 | ENA
Project description:DNA transfer between internal organelles such as the nucleus, mitochondrion, and plastid is a well-known phenomenon in plant evolution, and DNA transfer from the plastid and mitochondrion to the nucleus, from the plastid to the mitochondrion, and from the nucleus to the mitochondrion has been well-documented in angiosperms. However, evidence of the transfer of mitochondrial DNA (mtDNA) to the plastid has only been found in three dicotyledons and one monocotyledon. In the present study, we characterised and analysed two chloroplast (cp) genome sequences of Convallaria keiskei and Liriope spicata, and found that C. keiskei has the largest cp genome (162,109 bp) in the Asparagaceae. Interestingly, C. keiskei had a ~3.3-kb segment of mtDNA in its cp genome and showed similarity with the mt gene rpl10 as a pseudogene. Further analyses revealed that mtDNA transfer only occurred in C. keiskei in the Nolinoideae, which diverged very recently (7.68 million years ago (mya); 95% highest posterior density (HPD): 14.55-2.97 mya). These findings indicate that the C. keiskei cp genome is unique amongst monocotyledon land plants, but further work is necessary to understand the direction and mechanism involved in the uptake of mtDNA by the plastid genome of C. keiskei.
| S-EPMC6430787 | biostudies-literature
Project description:Background and aimsIn clonal plants producing vegetative offspring, performance at the genet level as well as at the ramet level should be investigated in order to understand the entire picture of the population dynamics and the life history characteristics. In this study, demography, including reproduction and survival, the growth patterns and the spatial distributions of ramets within genets of the clonal herb Convallaria keiskei were explored.MethodsVegetative growth, flowering and survival of shoots whose genets were identified using microsatellite markers were monitored in four study plots for 3 years (2003-2005). The size structures of ramets in genets and their temporal shifts were then analysed. Their spatial distributions were also examined.Key resultsDuring the census, 274 and 149 ramets were mapped in two 1 x 2 m plots, and 83 and 94 ramets in two 2 x 2 m quadrats. Thirty-eight genotypes were identified from 580 samples. Each plot included 5-18 genets, and most ramets belonged to the predominant genet(s) in each plot. Shoots foliated yearly for several years, but flowering ramets did not have an inflorescence the next year. A considerable number of new clonal offspring persistently appeared, forming a bell-shaped curve of the size structure of ramets in each genet. Comparing the structures modelled by the normal distributions suggested variation among ramets belonging to a single genet and variation among genets. Furthermore, spatial analyses revealed clumped and distant distributions of ramet pairs in a genet, in which the distant patterns corresponded to the linearly elongating clonal growth pattern of this species.ConclusionCharacteristics of ramet performances such as flowering and recruitment of clonal offspring, in addition to growth, played a large part in the regulation of genet dynamics and distribution, which were different among the studied genets. These might be characteristics particularly relevant to clonal life histories.
| S-EPMC2706722 | biostudies-literature
Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
| 2533916 | ecrin-mdr-crc