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IntroductionMicrobiota in the human body are closely related to human diseases. Female urogenital tract and rectal microbes have been considered as important factors affecting female pregnancy, but the mechanism is unknown.MethodsCervical, vaginal, urethral, and rectal swabs were collected from 22 infertile patients and 10 controls, and follicular fluid was extracted from 22 infertile patients. The microbial composition of different sampling sites of infertile patients was examined. By comparing the microbial composition difference between infertile patients and controls and combining bioinformatics methods to analyze the potential impact of the female urogenital tract (cervical, vaginal and urethral) and rectal microbial diversity on female infertility and pregnancy outcomes.ResultsLactobacillus predominated in the female urogenital tract, but its abundance decreased in infertile patients, whereas the abundance of Gardnerella and Atopobium increased. The microbial changes in the urethra had the same trend as that in the vagina. Compared with healthy controls, the cervical and rectal microbial diversity of infertile patients were significantly increased and decreased, respectively. There might be interactions between microbes in different parts of female. Geobacillus thermogeniticans was enriched in the urogenital tract and rectum of infertile patients, and has a good predictive effect on infertility. Compared with infertile patients, L. johnsonii was enriched in the vagina, urethra, and intestine of the control group. L. acidophilus in follicular fluid might be associated with Non-pregnancy.ConclusionThis study found that the microbial composition of infertile patients was changed compared with that of healthy people. The translocation of Lactobacillus between the rectum and urogenital tract might play a protective barrier role. The changes of Lactobacillus and Geobacillus might be related to female infertility or pregnancy outcome. The study provided a theoretical basis for the future treatment of female infertility from the perspective of microorganisms by detecting the microbial changes associated with female infertility.

Cassia siamea is a rosewood species in Southwest China with high wood and medicinal value. To clarify genetic background of C. siamea, we sequenced chloroplast genome by Illumina Hiseq and PacBio Sequel. The whole genome was 148,437 bp in length, containing a large single copy region (77,723 bp), a small single copy region (18,462 bp) and a pair of inverted repeats regions (26,126 bp). The cp genome contained 102 genes (71 protein-coding genes, 27 tRNAs and 4 rRNAs). The phylogenetic analysis indicated that C. siamea is close to Senna tora within Cassiinae/Caesalpiniaceae. The complete chloroplast genome of C. siamea will provide useful resources for the development and utilization of this species and the phylogenetic study of Fabaceae.

Dalbergia cochinchinensis is an tree species in Southeast Asia, its wood and wood products are incredibly valuable and are also of important medicinal value. In this study, its chloroplast genome was characterized using next generation Illumina pair-end and Pacbio sequencing dataset. The whole genome was 156,576 bp in length and contains a pair of 25,682 bp inverted repeat regions, which were separated by a large single copy region and a small single copy region of 85,886 and 19,326 bp in length, respectively. The cp genome contained 111 genes, including 77 protein-coding genes, 30 tRNAs and 4 rRNAs. A neighbor-joining phylogenetic analysis suggested D. cochinchinensis, which belonged to Dalbergieae, Fabaceae.

Dalbergia odorifera T. Chen (Fabaceae) is a woody tree species indigenous to Hainan Island in China. Due to its high medicinal and commercial value, this tree species has been planted over 3500 ha2 in southern China. There is an urgent need for improvement of the D. odorifera germplasm, however, limited information on germplasm collection, conservation, and assessment of genetic resources is available. Therefore, we have built a database of 251 individuals collected across the whole of southern China, which included 42 wild trees and 210 cultivated trees, with the following objectives. (1) Evaluate genetic diversity and population structure of the database using 19 microsatellite markers and (2) develop a core collection for improvement and breeding programs. Totally, the 19 microsatellite markers harbored 77 alleles across the database with the polymorphic information content (PIC) ranging from 0.03 to 0.66. Medium genetic diversity level was inferred by Nei’s gene diversity (0.38), Shannon’s information index (0.65), and observed (0.33) and expected heterozygosity (0.38). Structure analysis showed that four was the optimum cluster size using the model-based Bayesian procedure, and the 251 D. odorifera individuals were grouped into five populations including four pure ones (RP1-4) and one mixed one (MIX) based on their maximum membership coefficients. Among these populations, the expected heterozygosity varied from 0.30 (RP3) to 0.38 (RP4). Analysis of molecular variance (AMOVA) showed 11% genetic variation existed among populations, and moderate population differentiation was inferred by the matrix of pairwise Fst (genetic differentiation among populations), which was in the range of 0.031 to 0.095. Moreover, a core collection of 31 D. odorifera individuals including six wild and 25 cultivated trees was developed, which was only 12.4% of the database but conserved the whole genetic diversity. The results of this study provided additional insight into the genetic structure of the large D. odorifera germplasm, and the core collection will be useful for the efficient and sustainable utilization of genetic resources, as well as efficient improvement in breeding programs.

Dalbergia odorifera T. Chen (Fabaceae), indigenous to Hainan Island, is a precious rosewood (Hainan hualimu) in China. However, only limited genomic information is available which has resulted in a lack of molecular markers, limiting the development and utilization of the germplasm resources. In this study, we aim to enrich genomic information of D. odorifera, and develop a series of transferable simple sequence repeat (SSR) markers for Dalbergia species. Therefore, we performed transcriptome sequencing for D. odorifera by pooling leaf tissues from three trees. A dataset of 138,516,418 reads was identified and assembled into 115,292 unigenes. Moreover, 35,774 simple sequence repeats (SSRs) were identified as potential SSR markers. A set of 19 SSR markers was successfully transferred across species of Dalbergia odorifera T. Chen, Dalbergia tonkinensis Prain, and Dalbergia cochinchinensis Pierre ex Laness. In total, 112 alleles (3⁻13 alleles/locus) were presented among 60 Dalbergia trees, and polymorphic information content ranged from 0.38 to 0.75. The mean observed and mean expected heterozygosity was 0.34 and 0.40 in D. odorifera, 0.27 and 0.32 in D. tonkinensis, and 0.29 and 0.33 in D. cochinchinensis, respectively. The cluster analysis classified these 60 trees into three major groups according to the three Dalbergia species based on the genetic similarity coefficients, indicating these newly developed transferable markers can be used to explore the relationships among Dalbergia species and assist genetic research. All these unigenes and SSR markers will be useful for breeding programs in the future.

The mechanisms driving the spatial patterns of species richness and composition are essential to the understanding of biodiversity. Numerous studies separately identify the contributions of the environment (niche process) and space (neutral process) to the species richness or composition at different scales, but few studies have investigated the contributions of both types of processes in the two types of data at the landscape scale. In this study, we partitioned the spatial variations in all, exotic and native understory plant species richness and composition constrained by environmental variables and space in 134 plots that were spread across 10 counties in Hainan Island in southern China. The 134 plots included 70 rubber (Hevea brasiliensis) plantation plots, 50 eucalyptus (Eucalyptus urophylla) plantation plots, and 14 secondary forest plots. RDA based variation partitioning was run to assess the contribution of environment and space to species richness and composition. The results showed that the environmental variables alone explained a large proportion of the variations in both the species richness and composition of all, native, and exotic species. The RDA results indicated that overstory composition (forest type here) plays a leading role in determining species richness and composition patterns. The alpha and beta diversities of the secondary forest plots were markedly higher than that of the two plantations. In conclusion, niche differentiation processes are the principal mechanisms that shape the alpha and beta diversities of understory plant species in Hainan Island.

Allocation dynamics of stored starch plays essential roles in the development and growth of trees. Previous studies focused on the dynamics and the characteristics of starch in autotrophic trees. However, although starch granules have been detected in the organs or tissues of some parasitic plants, studies on the allocation dynamics and roles of storage starch in them are limited. Therefore, we determined and estimated the allocation dynamics and roles of starch in Santalum album Linn., a hemiparasitic tree, using morphological and physiological methods. Our findings showed abundant starch in the stem and root of S. album at the early seedling stage. Although S. album seedlings attached to the host showed no significant changes in starch levels throughout the experiment, unattached and host-removed seedlings exhibited a gradual decrease in the starch content over time. When the starch content of unattached seedlings was less than 1%, they started to die. Starch accumulated to high levels in developing and active haustoria; however, starch levels were low in the inactive haustoria. The present study suggests that starch may provide energy to seedlings that have no host, allowing them to survive during the unattached phase, thus increasing their chance to attach to host roots by extending their survival duration. In addition, we speculate that storage starch is potentially involved in the development of haustoria and in the physiological processes of S. album related to the absorption and transportation of water and nutrients from its host.