Evolutionary characteristics and phylogeny of cotton chloroplast tRNAs.

MAIN CONCLUSION: The novel structural variations were identified in cotton chloroplast tRNAs and gene loss events were more obvious than duplications in chloroplast tRNAs. Transfer RNAs (tRNA) have long been believed an evolutionary-conserved molecular family, which play the key roles in the process of protein biosynthesis in plant life activities. In this study, we detected the evolutionary characteristics and phylogeny of chloroplast tRNAs in cotton plants, an economic and fibered important taxon in the world. We firstly annotated the chloroplast tRNAs of 27 Gossypium species to analyze their genetic composition, structural characteristics and evolution. Compared with the traditional view of evolutionary conservation of tRNA, some novel tRNA structural variations were identified in cotton plants. I.g., tRNAVal-UAC and tRNAIle-GAU only contained one intron in the anti-condon loop region of tRNA secondary structure, respectively. In the variable region, some tRNAs contained a circle structure with a few nucleotides. Interestingly, the calculation result of free energy indicated that the variation of novel tRNAs contributed to the stability of tRNA structure. Phylogenetic analysis suggested that chloroplast tRNAs have evolved from multiple common ancestors, and the tRNAMet seemed to be an ancestral tRNA, which can be duplicated and diversified to produce other tRNAs. The chloroplast tRNAs contained a group I intron in cotton plants, and the evolutionary analysis of introns indicated that group I intron of chloroplast tRNA originated from cyanobacteria. Analysis of gene duplication and loss events showed that gene loss events were more obvious than duplications in Gossypium chloroplast tRNAs. Additionally, we found that the rate of transition was higher than the ones of transversion in cotton chloroplast tRNAs. This study provided new insights into the structural characteristics and evolution of chloroplast tRNAs in cotton plants.

Molecular Evolution of Chloroplast Genomes of Orchid Species: Insights into Phylogenetic Relationship and Adaptive Evolution.

Orchidaceae is the 3rd largest family of angiosperms, an evolved young branch of monocotyledons. This family contains a number of economically-important horticulture and flowering plants. However, the limited availability of genomic information largely hindered the study of molecular evolution and phylogeny of Orchidaceae. In this study, we determined the evolutionary characteristics of whole chloroplast (cp) genomes and the phylogenetic relationships of the family Orchidaceae. We firstly characterized the cp genomes of four orchid species: Cremastra appendiculata, Calanthe davidii, Epipactis mairei, and Platanthera japonica. The size of the chloroplast genome ranged from 153,629 bp (C. davidi) to 160,427 bp (E. mairei). The gene order, GC content, and gene compositions are similar to those of other previously-reported angiosperms. We identified that the genes of ndhC, ndhI, and ndhK were lost in C. appendiculata, in that the ndh I gene was lost in P. japonica and E. mairei. In addition, the four types of repeats (forward, palindromic, reverse, and complement repeats) were examined in orchid species. E. mairei had the highest number of repeats (81), while C. davidii had the lowest number (57). The total number of Simple Sequence Repeats is at least 50 in C. davidii, and, at most, 78 in P. japonica. Interestingly, we identified 16 genes with positive selection sites (the psbH, petD, petL, rpl22, rpl32, rpoC1, rpoC2, rps12, rps15, rps16, accD, ccsA, rbcL, ycf1, ycf2, and ycf4 genes), which might play an important role in the orchid species' adaptation to diverse environments. Additionally, 11 mutational hotspot regions were determined, including five non-coding regions (ndhB intron, ccsA-ndhD, rpl33-rps18, ndhE-ndhG, and ndhF-rpl32) and six coding regions (rps16, ndhC, rpl32, ndhI, ndhK, and ndhF). The phylogenetic analysis based on whole cp genomes showed that C. appendiculata was closely related to C. striata var. vreelandii, while C. davidii and C. triplicate formed a small monophyletic evolutionary clade with a high bootstrap support. In addition, five subfamilies of Orchidaceae, Apostasioideae, Cypripedioideae, Epidendroideae, Orchidoideae, and Vanilloideae, formed a nested evolutionary relationship in the phylogenetic tree. These results provide important insights into the adaptive evolution and phylogeny of Orchidaceae.

Characterization of the whole plastid genome sequence of Abies chensiensis (Pinaceae), an endangered endemic conifer in China.

Abies chensiensis Van Tiegh. (Pinaceae) is a rare and endangered endemic conifer in China. In this study, using the Illumina sequencing platform, we firstly characterized its whole plastid genome sequence. Our study revealed that A. chensiensis have a typical plastid genome of 121,498 bp in length, comprised of a large single copy region of 76,484 bp, a small single copy region of 42,654 bp and two inverted repeat regions of 1180 bp. A total of 113 genes, 74 protein-coding genes, 35 tRNA, and 4 rRNA genes were identified. The phylogenetic analysis indicated that A. chensiensis was placed as a sister to the congeneric A. sibirica.

Characterization of polymorphic microsatellite markers in Pinus armandii (Pinaceae), an endemic conifer species to China.

PREMISE OF THE STUDY: Pinus armandii (Pinaceae) is an important conifer tree species in central and southwestern China, and it plays a key role in the local forest ecosystems. To investigate its population genetics and design effective conservation strategies, we characterized 18 polymorphic microsatellite markers for this species. METHODS AND RESULTS: Eighteen novel polymorphic and 16 monomorphic microsatellite loci of P. armandii were isolated using Illumina MiSeq technology. The number of alleles per locus ranged from two to five. The expected heterozygosity ranged from 0.061 to 0.609 with an average of 0.384, and the observed heterozygosity ranged from 0.063 to 0.947 with an average of 0.436. Seventeen loci could be successfully transferred to five related Pinus species (P. koraiensis, P. griffithii, P. sibirica, P. pumila, and P. bungeana). CONCLUSIONS: These novel microsatellites could potentially be used to investigate the population genetics of P. armandii and related species.

The complete chloroplast genome of the Taiwan red pine Pinus taiwanensis (Pinaceae).

The complete nucleotide sequence of the Taiwan red pine Pinus taiwanensis Hayata chloroplast genome (cpDNA) is determined in this study. The genome is composed of 119,741 bp in length, containing a pair of very short inverted repeat (IRa and IRb) regions of 495 bp, which was divided by a large single-copy (LSC) region of 65,670 bp and a small single-copy (SSC) region of 53,080 bp in length. The cpDNA contained 115 genes, including 74 protein-coding genes (73 PCG species), 4 ribosomal RNA genes (four rRNA species) and 37 tRNA genes (22 tRNA species). Out of these genes, 12 harbored a single intron, and one (rps12) contained a couple of introns. The overall AT content of the Taiwan red pine cpDNA is 61.5%, while the corresponding values of the LSC, SSC and IR regions are 62.2%, 60.6% and 63.6%, respectively. A maximum parsimony phylogenetic analysis suggested that the genus Pinus, Picea, Abies and Larix were strongly supported as monophyletic, and the cpDNA of P. taiwanensis is closely related to that of P. thunbergii.

[Simulation model for the crop development stages in sunflower-potato intercropping].

Potato-sunflower intercropping is a prevailing cropping system in the agricultural and pastoral ecotone in China. To precisely simulate the crop phenology in the intercropping system is of significance for the assessment and optimization of intercropping systems. In this paper, the simulation model for the development stages of sunflower and potato in monoculture and intercropping was established, based on the crop's physiological development time, and validated with the field experimental data from 2010 to 2011. A good fitness was observed between the simulated and observed values of the crop's development stages. The root mean square error (RMSE) of the development stages from sowing to emergence, emergence to flowering, flowering to mature, and from sowing to mature was 1.2, 2.9, 2.4 and 2.6 d, respectively, with the prediction error lower than 5%. The model was strong on mechanistic, explanation and adaptability, and could be applied as a good tool in the researches of crop growth and development.