Chromosome-level genome assemblies of two littorinid marine snails indicate genetic basis of intertidal adaptation and ancient karyotype evolved from bilaterian ancestors.

Living in the intertidal environment, littorinid snails are excellent models for understanding genetic mechanisms underlying adaptation to harsh fluctuating environments. Furthermore, the karyotypes of littorinid snails, with the same chromosome number as the presumed bilaterian ancestor, make them valuable for investigating karyotype evolution from the bilaterian ancestor to mollusks. Here, we generated high-quality, chromosome-scale genome assemblies for 2 littorinid marine snails, Littorina brevicula (927.94 Mb) and Littoraria sinensis (882.51 Mb), with contig N50 of 3.43 Mb and 2.31 Mb, respectively. Comparative genomic analyses identified 92 expanded gene families and 85 positively selected genes as potential candidates possibly associated with intertidal adaptation in the littorinid lineage, which were functionally enriched in stimulus responses, innate immunity, and apoptosis process regulation and might be involved in cellular homeostasis maintenance in stressful intertidal environments. Genome macrosynteny analyses indicated that 4 fissions and 4 fusions led to the evolution from the 17 presumed bilaterian ancestral chromosomes to the 17 littorinid chromosomes, implying that the littorinid snails have a highly conserved karyotype with the bilaterian ancestor. Based on the most parsimonious reconstruction of the common ancestral karyotype of scallops and littorinid snails, 3 chromosomal fissions and 1 chromosomal fusion from the bilaterian ancient linkage groups were shared by the bivalve scallop and gastropoda littorinid snails, indicating that the chromosome-scale ancient gene linkages were generally preserved in the mollusk genomes for over 500 million years. The highly conserved karyotype makes the littorinid snail genomes valuable resources for understanding early bilaterian evolution and biology.

Genetic architecture of long-distance migration and population genomics of the endangered Japanese eel.

The Japanese eel (Anguilla japonica), a flagship anguillid species for conservation, is known for its long-distance-oriented migration. However, our understanding of the genetic architecture underlying long-distance migration and population genomic characteristics of A. japonica is still limited. Here, we generated a high-quality chromosome-level genome assembly and conducted whole-genome resequencing of 218 individuals to explore these aspects. Strong signals of selection were found on genes involved in long-distance aerobic exercise and navigation, which might be associated with evolutionary adaptation to long-distance migrations. Low genetic diversity was detected, which might result from genetic drift associated with demographic declines. Both mitochondrial and nuclear genomic datasets supported the existence of a single panmictic population for Japanese eel, despite signals of single-generation selection. Candidate genes for local selection involved in functions like development and circadian rhythm. The findings can provide insights to adaptative evolution to long-distance migration and inform conservation efforts for A. japonica.

Population genetic patterns across the native and invasive range of a widely distributed seagrass: Phylogeographic structure, invasive history and conservation implications.

Aim: The seagrass Zostera japonica is a dramatically declined endemic species in the Northwestern Pacific from the (sub)tropical to temperate areas, however, it is also an introduced species along the Pacific coast of North America from British Columbia to northern California. Understanding the population's genetic patterns can inform the conservation and management of this species. Location: North Pacific. Methods: We used sequences of the nuclear rDNA internal transcribed spacer (ITS) and chloroplast trnK intron maturase (matK), and 24 microsatellite loci to survey 34 native and nonnative populations (>1000 individuals) of Z. japonica throughout the entire biogeographic range. We analysed the phylogeographic relationship, population genetic structure and genetic diversity of all populations and inferred possible origins and invasion pathways of the nonnative ones. Results: All markers revealed a surprising and significant deep divergence between northern and southern populations of Z. japonica in the native region separated by a well-established biogeographical boundary. A secondary contact zone was found along the coasts of South Korea and Japan. Nonnative populations were found to originate from the central Pacific coast of Japan with multiple introductions from at least two different source populations, and secondary spread was likely aided by waterfowl. Main Conclusions: The divergence of the two distinct clades was likely due to the combined effects of historical isolation, adaptation to distinct environments and a contemporary physical barrier created by the Yangtze River, and the warm northward Kuroshio Current led to secondary contact after glacial separation. Existing exchanges among the nonnative populations indicate the potential for persistence and further expansion. This study not only helps to understand the underlying evolutionary potential of a widespread seagrass species following global climate change but also provides valuable insights for conservation and restoration.

[Distribution Pattern of Bacterial Community in Soil Profile of Larix principis-rupprechtii Forest in Luya Mountain].

Microbial communities are the key component to maintaining the structure and function of forest soil ecosystems. The vertical distribution of bacterial communities on the soil profile has an important impact on forest soil carbon pools and soil nutrient cycling. Using Illumina MiSeq high-throughput sequencing technology, we analyzed the characteristics of bacterial communities in the humus layer and 0-80 cm soil layer of Larix principis-rupprechtii in Luya Mountain, China, to explore the driving mechanisms affecting the structure of bacterial communities in soil profiles. The results showed that the α diversity of bacterial communities decreased significantly with increasing soil depth, and community structure differed significantly across soil profiles. The relative abundance of Actinobacteria and Proteobacteria decreased with increased soil depth, whereas the relative abundance of Acidobacteria and Chloroflexi increased with the increase in soil depth. The results of RDA analysis showed that soil NH+4, TC, TS, WCS, pH, NO-3, and TP were important factors determining the bacterial community structure of the soil profile, among which soil pH had the most significant effect. Molecular ecological network analysis showed that the complexity of bacterial communities in the litter layer and subsurface soil (10-20 cm) was relatively high, whereas the complexity of bacterial communities in deep soil (40-80 cm) was relatively low. Proteobacteria, Acidobacteria, Chloroflexi, and Actinobacteria played important roles in the structure and stability of soil bacterial communities in Larch. The species function prediction of Tax4Fun showed a gradual decline in microbial metabolic capacity along the soil profile. In conclusion, soil bacterial community structure showed a certain distribution pattern along the vertical profile of soil, the community complexity gradually decreased, and the unique bacterial groups of deep soil and surface soil were significantly different.

Stock price movement prediction based on Stocktwits investor sentiment using FinBERT and ensemble SVM.

Investor sentiment plays a crucial role in the stock market, and in recent years, numerous studies have aimed to predict future stock prices by analyzing market sentiment obtained from social media or news. This study investigates the use of investor sentiment from social media, with a focus on Stocktwits, a social media platform for investors. However, using investor sentiment on Stocktwits to predict stock price movements may be challenging due to a lack of user-initiated sentiment data and the limitations of existing sentiment analyzers, which may inaccurately classify neutral comments. To overcome these challenges, this study proposes an alternative approach using FinBERT, a pre-trained language model specifically designed to analyze the sentiment of financial text. This study proposes an ensemble support vector machine for improving the accuracy of stock price movement predictions. Then, it predicts the future movement of SPDR S&P 500 Index Exchange Traded Funds using the rolling window approach to prevent look-ahead bias. Through comparing various techniques for generating sentiment, our results show that using the FinBERT model for sentiment analysis yields the best results, with an F1-score that is 4-5% higher than other techniques. Additionally, the proposed ensemble support vector machine improves the accuracy of stock price movement predictions when compared to the original support vector machine in a series of experiments.

Distribution patterns and driving mechanism of soil protozoan community at the different depths of Larix principis-chinensis forest in the Luya Mountain, China.

To reveal the assembly mechanisms of soil protozoan community in subalpine forest ecosystems, we analyzed the composition and diversity of protozoan communities and their drivers at the six strata (the litter profile, humus profile, 0-10 cm, 10-20 cm, 20-40 cm and 40-80 cm) of soil profiles in subalpine Larix principis-rupprechtii forest in Luya Mountain using Illumina Miseq high-throughput sequencing technology. The results showed that protozoa in the soil profiles belonged to 335 genera, 206 families, 114 orders, 57 classes, 21 phyla, and 8 kingdoms. There were five dominant phyla (relative abundance >1%) and 10 dominant families (relative abundance >5%). The α diversity decreased significantly with increasing soil depth. Results of PCoA analysis showed that the spatial composition and structure of protozoan community differed significantly across soil depths. The results of RDA analysis showed that soil pH and soil water content were important factors driving protozoan community structure across soil profile. Null model analysis suggested that the heterogeneous selection dominated the processes of protozoan community assemblage. Molecular ecological network analysis revealed that the complexity of soil proto-zoan communities decreased continuously with increasing depth. These results elucidate the assembly mechanism of soil microbial community in subalpine forest ecosystem.

[Taxonomic and Functional Diversity of Soil Microbial Communities in Subalpine Meadow with Different Degradation Degrees in Mount Wutai].

Although soil microbes play a key role in grassland ecosystem functioning, the response of their diversity to grassland degradation has not been fully investigated. Here, we used shotgun metagenomic sequencing to analyze the characteristics and influencing factors of soil microbial taxonomic and functional diversity at four different degradation stages[i.e., non-degraded (ND), lightly degraded (LD), moderately degraded (MD), and heavily degraded (HD)]of subalpine meadow in the Mount Wutai. The results showed that there were significant differences in the relative abundances of Actinobacteria, Bacteroidetes, Nitrospirae, and Parcubacteria among the four subalpine grasslands with different degradation degrees (P<0.05).Compared with that in ND, the degraded meadows increased the proportion of genes related to carbon metabolism, biosynthesis of amino acids, pyruvate metabolism, citric acid cycle, propanoate metabolism, butanoate metabolism, and fatty acid metabolism (P<0.05), indicating that the degradation of subalpine grassland changed the metabolic potential of energy metabolism and the nutrient cycle of the soil microbial community. Grassland degradation changed soil microbial taxonomic and functional α diversity, especially in MD and HD.Grassland degradation resulted in significant changes in the taxonomic and functional compositions of the microbial communities. The total nitrogen, pH, and soil organic carbon significantly affected the taxonomic and functional compositions of the microbial communities.The ß diversity of the plant community was significantly correlated with the taxonomic and functional ß diversity of the microbial community (P<0.05), indicating strong coupling. The results of this study revealed the changes and driving mechanisms of subsurface microbial taxonomic and functional diversity during grassland degradation, which can provide a theoretical basis for subalpine meadow protection and ecological restoration.

[Diversity Patterns and Influencing Factors of Epibiotic in Vallisneria natans and Planktonic Bacteria Communities].

Planktonic and epiphytic bacterial communities play an important role in wetland nitrogen pollutant removal and water purification, yet their community dynamics are far from understood compared with those of the wetland soil bacterial community. Taking the planktonic bacterial community in the Yuguqiao constructed wetland and the epiphytic bacterial community on the leaf surface of the common submerged plant Vallisneria natans as the research objects, the composition, structure, and functional diversity of planktonic and epiphytic bacterial communities were analyzed using high-throughput sequencing. The results showed that the compositions of the planktonic and epiphytic bacterial communities were significantly different, with more heterotrophic and denitrifying bacteria present in the epiphytic bacterial community than in the planktonic bacterial community. The α diversity of the planktonic bacterial community was significantly different among the three sampling sites but not in the epiphytic bacterial community. In general, the OTU index and Shannon index of the epiphytic bacterial community were significantly higher than those of the planktonic bacterial community, and they had obvious spatial heterogeneity. RDA analysis showed that DO, IC, TP, NH+4, and TOC had important effects on the structural changes of both planktonic and epiphytic bacterial communities but had a greater impact on planktonic bacterial communities. Co-occurrence network analysis showed that the epiphytic bacterial community had more niche differentiation, a more stable network, and stronger resistance to external disturbance. The results of FAPROTAX functional prediction analysis showed that the nitrogen cycling, especially denitrification of the epiphytic bacterial community, was significantly greater than that of the planktonic bacterial community. The results of this study revealed the driving mechanism for maintaining the diversity of planktonic and epiphytic bacterial communities, which can provide a scientific basis for excavating and utilizing planktonic and epiphytic bacterial community resources in the construction of constructed wetlands to improve the efficiency of water purification.

[Responses of Soil Fungal Communities to Subalpine Meadow Degradation in Mount Wutai].

Grassland degradation has become a worldwide ecological problem. Although soil microorganisms, as the main participants in the process of grassland degradation, play a key role in maintaining ecosystem function and improving soil productivity, little is known about the changes in microbial communities caused by grassland degradation and their relationship with soil properties and plant communities. In this study, we used Illumina MiSeq sequencing to analyze the soil fungal communities of subalpine meadow soil at four different degradation stages[i.e., non-degraded (ND), lightly degraded (LD), moderately degraded (MD), and heavily degraded (HD)] on Mount Wutai. The results showed that Ascomycota, Basidiomycota, and Zygomycota were the dominant phyla of soil fungi in the subalpine meadow, regardless of degradation stage. LEfSe showed that the subalpine meadows with different degradation degrees were enriched with different biomarkers. Compared with ND, MD and HD were enriched with more pathogenic fungi. Moreover, HD apparently decreased the richness and Shannon indexes of soil fungal communities compared with those of ND. Non-metric multidimensional scaling (NMDS) and similarity analysis (ANOSIM) indicated that the compositions and structures of fungal communities were significantly different among meadows with different degradation degrees (P<0.05). Redundancy analysis (RDA) showed that soil water content, total nitrogen, plant richness, and ammonium nitrogen were significantly correlated with the compositions and structures of fungal communities (P<0.05). There were significant correlations between α diversity and ß diversity between plant and fungal communities (P<0.05), indicating strong coupling. The results of our study provide a theoretical basis for further research on the changes in soil fungal communities and their driving mechanism in different degradation stages of subalpine meadows.

A high-quality chromosome-level genome of the endangered roughskin sculpin provides insights into its evolution and adaptation.

The cottids (Cottidae) are a taxonomically diverse and ecologically important component of many marine and freshwater ecosystems. Despite recent breakthroughs in long-read sequencing, high quality genomic resources are still limited for studies of ecological and evolutionary processes in cottids. Here, we generated a high-quality, chromosome-scale genome assembly (521.26 Mb) of the catadromous roughskin sculpin (Trachidermus fasciatus Heckel) with a contig N50 of 2.93 Mb and a scaffold N50 of 24.06 Mb. Approximately 21.97% of the genome was composed of repetitive elements. A total of 21,872 protein-coding genes were predicted, of which 19,900 genes (90.98%) were functionally annotated. Phylogenetic analysis supported the validity of Scorpaenoidei and Cottioidei as two suborders of the Perciformes. Chromosome-scale collinearity analyses identified four chromosome fusions leading to the reduction of chromosome number in T. fasciatus. Gene families related to cell apoptosis and cell death were expanded and those related to immune system were contracted, suggesting that these gene families might be relevant to a host of phenotypic differences between T. fasciatus and other teleosts. Gene families associated with osmoregulation were also expanded, which might be associated with its catadromous life history. A total of 50 aging-associated genes were found to be under positive selection, which might be associated with the short lifespan of T. fasciatus. The high-quality genome assembly and annotation will promote researches into the evolution of catadromous life history and short lifespan for T. fasciatus and facilitate comparative genomic studies of cottids in the near future.

Resolving the origins of invertebrate colonists in the Yangtze River Estuary with molecular markers: Implications for ecological connectivity.

Understanding connectivity over different spatial and temporal scales is fundamental for managing of ecological systems. However, controversy exists for wintertime ecological connectivity between the Yangtze River Estuary (YRE) and inner southwestern Yellow Sea. Here, we investigated ecological connectivity between the YRE and inner southwestern Yellow Sea in wintertime by precisely pinpointing the source of the newly colonized populations of a winter-spawning rocky intertidal invertebrate, Littorina brevicula (Philippi, 1844), on artificial structures along the coast of the Yangtze River Delta (YRD) using mitochondrial ND6 sequences and microsatellite data. Clear phylogeographic and genetic differentiation were detected between natural rocky populations south and north of the YRE, which resulted from the lack of hard substrate for rocky invertebrates in the large YRD coast. For the newly colonized populations on the coast of YRD, most individuals (98%) to the south of ~33.5°N were from natural rocky populations to the south of the YRE and most of those (94%) to the north of ~33.5°N were from the northern natural rocky populations, which demonstrated strong ecological connectivity between the inner southwestern Yellow Sea and the YRE in winter time. We presented the first genetic evidence that demonstrated a northward wintertime coastal current in the inner southwestern Yellow Sea, and precisely illustrated the boundary of the coastal current recently proposed by numerical experiment. These results indicated that the YRE serves as an important source of materials and energy for the inner southwestern Yellow Sea in winter, which can be crucial for the function of the Yellow Sea ecosystem.

Female-specific genomic regions and molecular sex identification of the clearhead icefish (Protosalanx hyalocranius).

BACKGROUND: The clearhead icefish, Protosalanx hyalocranius, is an economically important fishery species in China. Since 1980s, P. hyalocranius was widely introduced into lakes and reservoirs of northern China for aquaculture. However, the lack of a rapid and cost-effective sex identification method based on sex specific genetic markers has hindered study on sex determination mechanisms and breeding applications. RESULTS: Female-specific genomic regions were discovered by comparing whole genome re-sequencing data of both males and females. Two female-specific genomic regions larger than 50 bp were identified, and one (598 bp) contained a putative FOXI gene, which was paralogous to another FOXI gene with sex-associated SNPs. The two FOXI sequences displayed significant length difference with nine deletions of total length of 230 bp. This deletion-type structural variation could be easily and efficiently detected by traditional PCR and agarose gel electrophoresis with one 569 bp band for males and two bands (569 and 339 bp) for females, which were validated in 50 females and 40 males with known phenotypic sexes. CONCLUSIONS: The results provided structural genomic evidence for the ZZ/ZW sex determination system in P. hyalocranius discovered in our previous study with association analysis of SNPs. Moreover, the female-specific markers and rapid and cost-effective PCR-based genetic sex identification method should have applications in further studies of sex determination mechanism for this species.

Genomic Architecture of Rapid Parallel Adaptation to Fresh Water in a Wild Fish.

Rapid adaptation to novel environments may drive changes in genomic regions through natural selection. However, the genetic architecture underlying these adaptive changes is still poorly understood. Using population genomic approaches, we investigated the genomic architecture that underlies rapid parallel adaptation of Coilia nasus to fresh water by comparing four freshwater-resident populations with their ancestral anadromous population. Linkage disequilibrium network analysis and population genetic analyses revealed two putative large chromosome inversions on LG6 and LG22, which were enriched for outlier loci and exhibited parallel association with freshwater adaptation. Drastic frequency shifts and elevated genetic differentiation were observed for the two chromosome inversions among populations, suggesting that both inversions would undergo divergent selection between anadromous and resident ecotypes. Enrichment analysis of genes within chromosome inversions showed significant enrichment of genes involved in metabolic process, immunoregulation, growth, maturation, osmoregulation, and so forth, which probably underlay differences in morphology, physiology and behavior between the anadromous and freshwater-resident forms. The availability of beneficial standing genetic variation, large optimum shift between marine and freshwater habitats, and high efficiency of selection with large population size could lead to the observed rapid parallel adaptive genomic change. We propose that chromosomal inversions might have played an important role during the evolution of rapid parallel ecological divergence in the face of environmental heterogeneity in C. nasus. Our study provides insights into the genomic basis of rapid adaptation of complex traits in novel habitats and highlights the importance of structural genomic variants in analyses of ecological adaptation.

Genome-wide association analyses based on whole-genome sequencing of Protosalanx hyalocranius provide insights into sex determination of Salangid fishes.

Identification of sex determination system and sex-determining genes have important implications in conservation, ecology and evolution. However, much remains to be discovered about the evolution of different sexual determination systems in teleost fishes, of which the mechanisms of sex determination are remarkably variable. In the present study, the whole genomes of 20 males and 20 females of a Salangid fish, Protosalanx hyalocranius, were sequenced and genome wide association analyses were conducted to uncover its sex determination system and putative sex-determining genes. A total of 150 SNPs were significantly associated with sex, which showed high differentiation between sexes (FST ranged from 0.245 to 0.556). Of the 150 sex-associated SNPs, 76 SNPs displayed sex specificity with even coverage of depth and were female heterogametic, which suggested a ZZ/ZW sex determination system. Interestingly, one scaffold containing sex-specific SNPs displayed synteny to the sex chromosome of medaka. Annotations of sex-associated loci suggested that both transcriptional regulators (e.g., FOX genes) and secreted hormones and their receptors might be involved in the sex determination/differentiation of P. hyalocranius. More strikingly, we found a nonsense mutation in one copy of GALNT homology gene of all females, which suggested that "Z dosage" effect might play a vital role in the processes of sex determination/differentiation. These sex-specific loci could be a valuable resource for further research on sex determination of Salangid fishes and the results could contribute to the understanding of sex determination mechanisms and the evolution of sex chromosome in teleost fishes.

[Spatio-temporal Patterns of Microbial Communities and Their Driving Mechanisms in Subalpine Lakes, Ningwu, Shanxi].

Human activities and climate change cause the degradation of subalpine lake ecosystems, which induce the shift of microbial community structure. The spatio-temporal dynamics and the diversity maintenance mechanisms of bacterial communities in Gonghai Lake in Ningwu, Shanxi, were investigated by using Q-PCR and DGGE. The results showed that the temperature), pH, dissolved oxygen, electrical conductivity salinity, and ammonium nitrogen (NH4+) contestation were significantly different among the different sampling depths during different months. Bacterial abundance was the highest in August and the lowest in November, and the abundance was higher in the middle water layer (2 m, 4 m, and 6 m depths), but relatively low in the surface layer and bottom layer (0 m and 8 m depths, respectively). The α diversity index of bacterial communities had significant differences among the different months and depths, and showed an initial decreasing trend and then an increasing trend from April to December. A PERMANOVA test showed that the spatial distribution of bacterial communities was significantly different among depths (P<0.001). The results of redundancy analysis and variation partitioning indicated that environmental selection and diffusion limitation had an effect on the maintenance of the diversity patterns of bacterial communities at the different depths of GH. However, the relative effect of environmental factors was stronger, of which the concentration of NO3-, NO2-, and NH4+ were the main influencing factors. In conclusion, the bacterial communities in GH subalpine lake showed clear spatio-temporal distribution patterns, and environmental variables had a significant effect on shaping the community diversity.

RAD genotyping reveals fine-scale population structure and provides evidence for adaptive divergence in a commercially important fish from the northwestern Pacific Ocean.

Exploring factors shaping genetic structure of marine fish is challenging due to fewer barriers to gene flow in the ocean. However, genome-wide sequence data can greatly enhance our ability to delineate previously unidentified population structure as well as potential adaptive divergence. The small yellow croaker (Larimichthys polyactis) is a commercially important fish species with high gene flow and its overwintering populations experience heterogeneous environment, suggesting possible population differentiation and adaptive divergence. To delineate patterns of population structure as well as test for signatures of local adaptation, a total of 68,666 quality filtered SNP markers were identified for 80 individuals from four overwintering populations by using restriction site-associated DNA sequencing (RAD-seq). Significant genetic differentiation among overwintering populations from the Central Yellow Sea, the South Yellow Sea and the North East China Sea were detected (Pair-wise F ST: 0.00036-0.00390), which were consistent with population division of overwintering groups inferred from traditional ecological approaches. In addition, a total of 126 unique SNPs were detected to be significantly associated with environmental parameters (temperature, salinity and turbidity). These candidate SNPs were involved in multiple pathways such as energy metabolism and phagocytosis, suggesting they may play key roles in growth and innate immunity. Our results suggested the existence of hitherto unrecognized cryptic population structure and local adaptation in this high gene flow marine fish and thus gain new insights into the design of management strategies.

Population Genomic Signatures of Genetic Structure and Environmental Selection in the Catadromous Roughskin Sculpin Trachidermus fasciatus.

Understanding the patterns of genetic diversity and adaptation across species' range is crucial to assess its long-term persistence and determine appropriate conservation measures. The impacts of human activities on the genetic diversity and genetic adaptation to heterogeneous environments remain poorly understood in the marine realm. The roughskin sculpin (Trachidermus fasciatus) is a small catadromous fish, and has been listed as a second-class state protected aquatic animal since 1988 in China. To elucidate the underlying mechanism of population genetic structuring and genetic adaptations to local environments, RAD tags were sequenced for 202 individuals in nine populations across the range of T. fasciatus in China. The pairwise FST values over 9,271 filtered SNPs were significant except that between Dongying and Weifang. All the genetic clustering analysis revealed significant population structure with high support for eight distinct genetic clusters. Both the minor allele frequency spectra and Ne estimations suggested extremely small Ne in some populations (e.g., Qinhuangdao, Rongcheng, Wendeng, and Qingdao), which might result from recent population bottleneck. The strong genetic structure can be partly attributed to genetic drift and habitat fragmentation, likely due to the anthropogenic activities. Annotations of candidate adaptive loci suggested that genes involved in metabolism, development, and osmoregulation were critical for adaptation to spatially heterogenous environment of local populations. In the context of anthropogenic activities and environmental change, results of the present population genomic work provided important contributions to the understanding of genetic differentiation and adaptation to changing environments.

[Distribution Pattern and Diversity Maintenance Mechanisms of Fungal Community in Subalpine Lakes].

The composition and diversity of fungal communities are essential to maintain the ecosystem balance of subalpine lakes. The aquatic fungal communities at different depths from the subalpine Pipahai (PPH, 0, 2, 4 m), Mayinghai (MYH, 0, 2, 4, 6 m), and Gonghai (GH, 0, 2, 4, 6, 8 m) lakes were studied. In addition to that, the distribution pattern and diversity maintenance mechanism (determination process vs. random process) of fungal communities were explored using high-throughput sequencing. The results showed that the physicochemical parameters of the water were significantly different among the three lakes. The pH, electrical conductivity (EC), ammonia nitrogen (NH4+-N), total carbon (TC), and inorganic carbon (IC) of GH were significantly higher than in the other two lakes. The fungal community was mainly composed of Ascomycota (0.82%-21.05%), Basidiomycota (1.26%-11.79%), Chytridiomycota (0.42%-4.26%), and Rozellomycota (0.11%-0.33%). Cystobasidiomycetes, Dothideomycetes, Chytridiomycetes, and Sordariomycetes were the dominant classes shared by the three lakes. The α-diversity index and the relative abundance of dominant classes were significantly different among the three lakes (P<0.05), but there were no significant differences between the various depths on each lake. The results of the ANOSIM analysis showed that the ß-diversity of the fungal communities were significantly different (r=0.99, P<0.01) among the lakes. There was also expressive differences at various depths on MYH (r=0.98, P<0.01) and GH (r=0.25, P<0.05), but no significant difference in PPH (r=0.23, P>0.05). The analysis results of redundancy and variation partitioning showed that the ß-diversity pattern of fungal communities in small region areas (among the three lakes) and local areas (different depths of MYH) were driven by environmental selection and dispersal limitation. However, the relative role of environmental selection was more significant, with water pH, dissolved oxygen (DO), TC, and EC being the main influencing factors. The results of the null model analysis showed that the interspecific interactions promoted the maintenance of the ß-diversity pattern of the fungal community in GH. In summary, the ß-diversity pattern of fungal communities in the subalpine lakes was mainly driven by a deterministic process.

Development of microsatellite markers for the seagrass Zostera japonica using next-generation sequencing.

The seagrass Zostera japonica Asch. & Graebn. is among the few seagrass species that thrive both in temperate and tropical intertidal zones. The degradation of Z. japonica in its native range and continued expansion in some localities have raised concerns with regard to its conservation and management. Population genetic studies of Z. japonica across its biogeographic range and within meadows are scarce. Previously developed microsatellites via traditional methods are not sufficient in quantity and perform inconsistently between the temperate and tropical populations. Thus, this study aimed to develop more reliable polymorphic markers for Z. japonica using next generation sequencing. In total, 6479 sequences containing loci were identified and 1619 pairs of primers were successfully designed. Of these, 63 loci were selected for primary validation in 16 individuals from four populations, with 48 (76.2%) polymorphic loci detected. Seventeen polymorphic loci were selected for further evaluation in 62 individuals from one temperate and one tropical population. The overall probability of identity (PID) for both populations was 2.375e-22 (PIDsib = 3.557e-08). The number of alleles, and expected and observed heterozygosity in the two populations were both relatively high and not significantly different from each other. The pairwise FST = 0.232 (p < 0.0001) and Principal Coordinates Analysis both suggested a large and significant genetic divergence between the two populations. This study makes abundant molecular markers available for genetic studies in Z. japonica, and facilitates its conservation and management strategies.

First mitochondrial genome of a periwinkle from the genus Littoraria: Littoraria sinensis.

The nearly complete sequence of the mitochondrial genome of the periwinkle Littoraria sinensis is presented. This is the first mitochondrial genome of the genus Littoraria and the fifth sequenced Littorinidae. The mitogenome of L. sinensis is 16,320 bp in size, with 37 genes and one partial control region. The genes order is identical to those observed in other Littorinidae mitogenomes. The overall base composition shows that AT content (64.76%) is higher than GC content (35.24%). This study should provide new information for the further phylogenetic studies of this species.