Panda Research Articles

The novel use of urinary androgens to optimise detection of the fertile window in giant pandas.

Graphical abstract Giant pandas are mono-estrus seasonal breeders, with the breeding season typically occurring in the spring. Successful fertilization is followed by an embryonic diapause, of variable length, with birth in the late summer/autumn. There is a need for additional understanding of giant panda reproductive physiology, and the development of enhanced biomarkers for impending proestrus and peak fertility. We aimed to determine the utility of non-invasive androgen measurements in the detection of both proestrus and estrus. Urine from 20 cycles (−40 days to +10 days from peak estrus) from 5 female giant pandas was analyzed for estrogen, progestogens and androgens (via testosterone and DHEA assays), and hormone concentrations were corrected against urinary specific gravity. Across proestrus, estrogens increased while progestogens and androgens decreased – at the point of entry into proestrus, androgens (as detected by the testosterone assay) decreased prior to progestogens and gave 4 days advanced warning of proestrus. At the time of peak estrus, androgens (as detected by the DHEA assay) were significantly increased at the time of the decrease in estrogen metabolites from the peak, acting as an alternative confirmatory indicator of the fertile window. This novel finding allows for enlargement of the preparative window for captive breeding and facilitates panda management within breeding programmes. Androgens allow an enhanced monitoring of giant panda estrus, not only advancing the warning of impending proestrus, but also prospectively identifying peak fertility.Lay summaryGiant pandas have one chance at pregnancy per year. The 2-day fertile window timing varies by year and panda. This is monitored by measuring the level of estrogens in the urine, which increase, indicating an upcoming fertile period. After 1–2 weeks of increase, estrogens peak and fall, marking the optimal fertile time. We tested other hormones to see if we can predict the fertile window in advance, and the specific fertile time with more accuracy. In 20 breeding seasons from 5 females, we found androgens, usually thought of as male hormones, had an important role. Testosterone gives 4 days advanced warning of estrogens increasing. DHEA identified peak estrogen and the fertile time before needing to see a confirmed decrease in estrogen itself. Therefore, androgens help improve monitoring of the giant panda breeding season, giving early warning of fertility, key in facilitating captive breeding and giant panda conservation.

Earliest giant panda false thumb suggests conflicting demands for locomotion and feeding

Of the many peculiarities that enable the giant panda (Ailuropoda melanoleuca), a member of the order Carnivora, to adapt to life as a dedicated bamboo feeder, its extra “thumb” is arguably the most celebrated yet enigmatic. In addition to the normal five digits in the hands of most mammals, the giant panda has a greatly enlarged wrist bone, the radial sesamoid, that acts as a sixth digit, an opposable “thumb” for manipulating bamboo. We report the earliest enlarged radial sesamoid, already a functional opposable “thumb,” in the ancestral panda Ailurarctos from the late Miocene site of Shuitangba in Yunnan Province, China. However, since the late Miocene, the “thumb” has not enlarged further because it must be balanced with the constraints of weight bearing while walking in a plantigrade posture. This morphological adaptation in panda evolution thus reflects a dual function of the radial sesamoid for both bamboo manipulation and weight distribution. The latter constraint could be the main reason why the panda’s false thumb never evolved into a full digit. This crude “thumb” suggests that the origin of the panda’s dedicated bamboo diet goes back to as early as 6–7 Ma.

Development Status of Leisure Tourism in the Peripheral Protection Area of Giant Panda Habitat

Development Status of Leisure Tourism in the Peripheral Protection Area of Giant Panda Habitat

ANALYSIS OF SERUM PROTEINS IN HEALTHY GIANT PANDAS (AILUROPODA MELANOLEUCA) UNDER MANAGED CARE.

Electrophoresis is a practical diagnostic tool for the identification of changes in serum protein fractions, which can be associated with a variety of diseases. Protein electrophoresis studies in Ursidae are limited, and currently no published fraction values are available for the giant panda (Ailuropoda melanoleuca). The aim of this study was to describe the serum protein fractions in the giant panda using both capillary zone electrophoresis (CZE) and standard agarose gel electrophoresis (AGE) techniques. Serum samples from nine healthy giant pandas (n = 19) were used for this study. Samples were evaluated using CZE and standard AGE. The CZE procedure successfully resolved serum proteins into seven fractions: prealbumin; albumin; and α1-, α2-, β1-, β2-, and γ-globulin; while AGE separated serum into only six protein fractions: prealbumin; albumin; α1-, α2-, and β-globulins; and γ-globulin. These data will serve as a preliminary baseline for further studies and provide insight for the medical management of giant pandas.

Spatial-Temporal Change for Ecological Intactness of Giant Panda National Park and Its Adjacent Areas in Sichuan Province, China

Human activities change the natural ecosystem and cause the decline of the intact ecosystem. Establishing an applicable and efficient human activity monitoring indicator system benefits China’s ambitious national park system construction. In this study, we established a refined technique for ecological intactness scores (EIS) and applied it in the area of Giant Panda National Park (GPNP) from 1980 to 2020 by quantifying four types of human interferences including land use and cover change (LUCC), road construction, water reservoir and hydropower construction, and mining. The results show the following: (1) Under the ecological intactness score range of 0–10, the GPNP with about 92.6% area of the EIS was above 6.0, and the mean baseline level of intactness was 7.1 when it was established in 2018. (2) The EIS in the east of Qionglaishan and south of Minshan were relatively lower than the rest of the study area. (3) During the past 40 years, 80% of the GPNP’s ecological intactness has remained stable. (4) In total, 14% of the GPNP was degraded mainly in the areas below 1200 m with severe human activities. (5) LUCC and road construction were the main driving factors for the decrease of ecological intactness in the GPNP. (6) The habitat of the giant panda is mainly distributed in the areas with an EIS above 6.0, and this is a key link between ecological intactness and habitat suitability. Our research proved that the ecological intactness score (EIS) is an effective indicator for monitoring and assessing the impact of human activities on the regional natural ecosystem and could be helpful for ecological restoration and human activities management GPNP in the future.

Dominant Components of the Giant Panda Seminal Plasma Metabolome, Characterized by 1H-NMR Spectroscopy.

Simple SummaryAs China’s flagship animal, the giant panda (Ailuropoda melanoleuca) attracts much attention due to its small population and low natural reproductive rate. Therefore, artificial insemination has become the leading practical approach in the captive breeding programs of giant pandas worldwide. Seminal plasma acts as a medium between spermatozoa and the external stimuli, and its characteristics have been directly linked to fertility in both artificial insemination and natural fertilization. The current work, for the first time, attempts to characterize, by proton magnetic resonance spectroscopy (1H-NMR), the metabolome of healthy giant panda seminal plasma. A total of 35 molecules were quantified, with distinct age-related trends highlighted by a multivariate analysis, and the concentrations of 2,3-butanediol were significantly different between individuals younger than 8 years and older than 13 years. In addition, isopropanol’s concentration was significantly linked to estrus stages. Besides, the variations in the metabolome’s profile with storage time were also evaluated. This study may serve as a reference for research wishing to shed light on the biological mechanisms affecting giant panda sperm’s overall quality and may ultimately lead to novel approaches to giant panda artificial insemination.As an assisted breeding technique, artificial insemination has become the main effective practical approach in the captive breeding programs of giant panda worldwide. The composition of seminal plasma plays an important role in the success of breeding. The present work is the first attempt to characterize, by proton magnetic resonance spectroscopy (1H-NMR), the metabolome of healthy giant panda seminal plasma. A total of 35 molecules were quantified, with the concentration of 2,3-butanediol being significantly different between individuals younger than 8 years and older than 13 years, and other distinct age-related trends were highlighted by a multivariate analysis. Isopropanol’s concentration was significantly linked to estrus stages. Besides, the variations in the metabolome’s profile during storage were also evaluated. This study may serve as a reference for further research wishing to shed light on the biological mechanisms affecting giant panda sperm’s overall quality and may ultimately lead to novel approaches to giant panda artificial insemination.

An evidence-based compensation scheme for wildlife damages in giant panda reserves in Sichuan, China

An evidence-based compensation scheme for wildlife damages in giant panda reserves in Sichuan, China

First Report Davidia involucrate Baill Leaf Blight Caused by Nigrospora oryzae in Sichuan, China.

Davidia involucrata Baill. (D. involucrate), also known as dove tree, is listed as the first class national protected plant in China and the only extant member of the Davidiaceae family (Fu & Jin 1992). Referred to by the terms 'living fossil' and 'giant panda' owing to its evolutionary status as a Tertiary relic and its native distribution, D. involucrate exhibits substantial ornamental and academic value (Fang & Song 1975; Wu et al. 2004). A small rounded head inflorescence beneath its big white bracts have a unique charm to catch people's attention, thus they were cultivated in many areas of the world as an ornamental plant (Claßen-Bockhoff & Arndt 2018). In September 2021, dove trees in Meigu country (N 28°33', E 103°14'), Sichuan Province, China were found to appear symptoms of leaf blight of unknown origin. This blight disease incidence was 90% in a survey of 30 D. involucrata trees. Early symptoms appeared as circular, necrotic tissue that developed into circular or irregular spots (FigS1. A). Five leaves exhibiting typical symptoms of this form of leaf blight were excised from the margin between diseased and healthy tissue. These pieces were then treated for 40 s with 75% ethanol for surface sterilization, followed by treatment with 5% NaClO for 2 min, rinsed then plated on potato dextrose agar (PDA) medium supplemented with carbenicillin and ampicillin (each 50 μg/mL), and incubated in the dark for 4 days at 28°C. Pure cultures were then prepared by transferring hyphal tips from the edges of these colonies onto fresh PDA plates, with isolate LW11 being selected as a representative isolate for causal pathogen characterization. These cultured colonies were initially white before turning grayish-black over time (FigS1. B). Conidia were single-celled, black, spherical or oblate and ranged from 10 - 16.0 μm in diameter (mean = 12.5 ± 0.43 μm, n = 40) (FigS1. C), with conidia being present at the tip of conidiophores on hyaline vesicles. These morphological traits were found to align well with those of Nigrospora oryzae (Wang et al. 2017). To confirm this tentative identification, gDNA was extracted from isolate LW11, followed by the amplification of the internal transcribed spacer (ITS) region, beta-tubulin (TUB2), and translation elongation factor 1-alpha (TEF1) sequences with the respective ITS1/ITS4 (White et al., 1990), Bt-2a/Bt-2b (Glass & Donaldson 1995), and TEF1-728F/EF1-986R primer pairs (Carbone et al. 1999). Fragments of 577 bp, 442 bp, and 309 bp were obtained. A maximum likelihood bootstrapping approach (1000 bootstrap replicates) was used to construct a phylogenetic tree based on a combination of the ITS, TUB, and TEF1-α sequences, indicating that isolate LW11 clustered with other N. oryzae isolates (FigS2). The ITS, TUB, and TEF1-α sequences from isolate LW11 were deposited in GenBank with the accession numbers OL659284, OL685345, and OL685347, respectively. The pathogenicity test was performed by detached D. involucrate leaves with mycelial plugs, with the other half instead being inoculated using pure agar plugs as a negative control. Following incubation for 5 days, black lesions were evident on leaves inoculated with mycelial plugs (FigS1. F; FigS1, DE) but not on control leaves (FigS1. F). This report is the first to our knowledge of D. involucrata leaf blight by N.oryzae in China or anywhere else in the world. Further research is thus needed to better manage the spread of this disease with the goal of protecting this living fossil species.

Is the delineation of range maps useful for monitoring Asian bears?

Changes in the distribution of a species can be used to as a metric of conservation status and to identify the loss or gain of isolated populations. This mapping process is a primary tool of the IUCN SSC Red List assessment. Most distribution maps are based on expert opinion or species distribution models based on a combination of species detection records and known habitat and landscape affiliations for that species. However, modeling the distribution for some species is difficult due to low levels of sampling, low detectability, and loose or uncertain associations with landscape attributes. These issues may be particularly prevalent for Asian bears that have generalist habitat requirements and are heavily poached across their range. Presently the range of all bear species in Asia is delineated primarily using expert opinion. Members of the IUCN SSC Bear Specialist Group attempted to create a rule set to combine current detections with known habitat and home range preferences to improve distribution maps for the purpose of conservation metrics and monitoring. The results of applying this rule set for giant pandas (Ailuropoda melanoleuca) closely matched the current IUCN mapped range, but the results for Asiatic black bears (Ursus thibetanus) did not corroborate the IUCN map based solely on expert opinion. We present a list of recommended actions for improving distribution mapping for bears in Asia and possibly any species whose current distribution is heavily influenced by poorly measured metrics such as poaching.

The need to step-up monitoring of Asian bears

Many wildlife species are threatened in Asia, including the five species of terrestrial bears (Asiatic black, Ursus thibetanus; brown, U. arctos; sloth, Melursus ursinus; sun, Helarctos malayanus; giant panda, Ailuropoda melanoleuca): many populations of these bears are thought to be declining or imperiled by small population size. Here our aim is to document how population assessments have been conducted for bears in Asia. We searched the literature and identified 102 studies published during 1999–2021 that investigated the status of an Asian bear population; these occurred in 24 of the 32 bear range countries in Asia. At the most basic level, 11% of studies verified presence of bears in places where they were not known to exist. The most common objective (53% of papers) was a distribution map, often derived from presence locations in a habitat-based model. Occupancy studies (15%) used temporal (time stamps on images from cameras) or spatial (transect segments) replicates, but tended to focus on “use”, so detector spacing was sometimes not appropriate for occupancy. Purported population indices, such as sign density or camera trap encounter rates, were reported in 16% of studies. One third of studies provided a population estimate, but only 10 studies in two decades used a rigorous method (e.g., mark–recapture). Sign surveys and interviews were the most common methods for determining bear presence, and local interviews were heavily relied upon for assessing population trend. Camera trapping has become increasingly prevalent, but only one study obtained a population estimate using photographs to distinguish natural individual markings. Only three studies used hair traps to obtain DNA-based population estimates, and three other studies obtained population estimates from DNA in scats. Just three studies quantitatively measured change in population size or occupancy over time, and none of these showed a decline. Unique rangewide sign surveys of giant pandas showed significant geographic expansion. The opinions of experts and local people, now heavily relied upon for population assessments, are not reliable or sensitive enough for monitoring. Quantitative population assessments are desirable to direct conservation actions toward the most perilous situations, and provide a means to gauge the effectiveness of conservation actions. This paper demonstrates the paucity of rigorous monitoring of Asian bears, and leads off a series of papers that propose improved methods for assessing distribution, occupancy, and density.

Spatial-Temporal Evolution and Driving Forces of NDVI in China's Giant Panda National Park.

Identifying the ecological evolution trends and vegetation driving mechanisms of giant panda national parks can help to improve the protection of giant panda habitats. Based on the research background of different geomorphological zoning, we selected the MODIS NDVI data from 2000 to 2020 to analyze the NDVI trends using a univariate linear model. A partial correlation analysis and multiple correlation analysis were used to reveal the influence of temperature and precipitation on NDVI trends. Fourteen factors related to meteorological factors, topographic factors, geological activities, and human activities were selected, and the Geographically Weighted Regression model was used to study the mechanisms driving NDVI change. The results were as follows: (1) The NDVI value of Giant Panda National Park has fluctuated and increased in the past 21 years, with an annual growth rate of 4.7%/yr. Affected by the Wenchuan earthquake in 2008, the NDVI value fluctuated greatly from 2008 to 2012, and reached its peak in 2018. (2) The NDVI in 94% of the study area improved, and the most significant improvement areas were mainly distributed in the northern and southern regions of Southwest Subalpine and Middle Mountain and the Xiaoxiangling area. Affected by the distribution of fault zones and their local activities, vegetation degradation was concentrated in the Dujiangyan–Anzhou area of Hengduan Mountain Alpine Canyon. (3) The Geographically Weighted Regression analysis showed that natural factors were dominant, with climate and elevation having a double-factor enhancement effect, the peak acceleration of ground motion and fault zone having a superimposed effect, and river density and slope having a double effect, all of which had a significant impact on the NDVI value of the surrounding area. To optimize the ecological security pattern of the Giant Panda National Park, we recommended strengthening the construction of ecological security projects through monitoring meteorological changes, preventing, and controlling geo-hazards, and optimizing the layout and intensity of human activities.

Transcriptome sequencing of black and white hair follicles in the giant panda.

With the completion of the draft assembly of the giant panda genome sequence, RNA sequencing technology has been widely used in genetic research on giant pandas. We used RNA-seq to examine black and white hair follicle samples from adult pandas. By comparison with the giant panda genome, 75963 SNP loci were labeled, 2426 differentially expressed genes (DEGs) were identified, and 2029 new genes were discovered, among which 631 were functionally annotated. A cluster analysis of the DEGs showed that they were mainly related to the Wnt signaling pathway, ECM-receptor interaction, the p53 signaling pathway, and ribosome processing. The enrichment results showed that there were significant differences in the regulatory networks of hair follicles with different colors during the transitional stage of hair follicle resting growth, which may play a regulatory role in melanin synthesis during growth. In conclusion, our results provide new insights and more data support for research on the color formation in giant pandas.

Molecular Characteristics of Extended-Spectrum Beta-Lactamase-Producing Escherichia coli Strains Isolated from Diseased Captive Giant Pandas (Ailuropoda melanoleuca) in China.

Objectives: To characterize the antimicrobial resistance and virulence of pathogenic Escherichia coli isolated from diseased captive giant pandas. Methods: Antimicrobial susceptibility and minimum inhibitory concentration (MIC) were determined by the broth dilution method. Whole-genome sequencing was used to characterize the phylogeny, serotype, virulence, resistome, plasmids, and genetic structures of the cefotaxime (CTX)-M genes. Results: Four extended-spectrum beta-lactamase (ESBL)-producing E. coli strains were identified and the MICs against 11 antibiotics in vitro were determined. All ESBL-producing E. coli strains were resistant to more than eight antibiotics and carried the blaCTX-M-55 or blaCTX-M-105 gene in different sizes of replicon-type plasmids (pAMSH1-IncHI2, 257 kb; pAMPD2-IncFII, 89 kb; pAMPD02-IncFIB, 129 kb; and pAMSC4-IncN, 47 kb). Distinct insertional sequences and transposases were identified up-/downstream of blaCTX-Ms, including IS26, ISEcp1, ISKpn72, IS903B, and Tn2. These strains also possessed at least three virulence genes of pathogenic E. coli and originated in four different evolutionary branches. One strain carried the complete locus of the enterocyte effacement pathogenicity island, but lacked the virulence genes stx and bfpA, indicating atypical enteropathogenic E. coli, whereas the other strains were considered to be extraintestinal pathogenic E. coli. Conclusions: The emergence of ESBL-producing pathogenic E. coli strains from diseased captive giant pandas warrants greater attention. The findings of this study will help to prevent the spread of these strains among captive giant pandas as well as from wild animals to humans.

Identification of extended-spectrum beta-lactamase (CTX-M)-producing Klebsiella pneumoniae belonging to ST37, ST290, and ST2640 in captive giant pandas

BackgroundExtended-spectrum β-lactamases (ESBL)-producing strains of Klebsiella pneumoniae remain a worldwide, critical clinical concern. However, limited information was available concerning ESBL-producing Klebsiella pneumoniae in giant pandas. The objective of this study was to characterize ESBL-producing Klebsiella pneumoniae isolates from captive giant pandas. A total of 211 Klebsiella pneumoniae isolates were collected from 108 giant pandas housed at the Chengdu Research Base of Giant Panda Breeding (CRBGP), China. Samples were screened for the ESBL-producing phenotype via the double-disk synergy test.ResultA total of three (1.42%, n = 3/211) ESBL-producing Klebsiella pneumoniae strains were identified, and characterization of ESBL-producing Klebsiella pneumoniae isolates were studied by the detection of ESBL genes and mobile genetic elements (MGEs), evaluation of antimicrobial susceptibility and detection of associated resistance genes. Clonal analysis was performed by multi-locus sequencing type (MLST). Among the three ESBL-producing isolates, different ESBL-encoding genes, including blaCTX-M, and blaTEM, were detected. These three isolates were found to carry MGEs genes (i.e., IS903 and tnpU) and antimicrobial resistance genes (i.e., aac(6')-Ib, aac(6')-I, qnrA, and qnrB). Furthermore, it was found that the three isolates were not hypermucoviscosity, resistant to at least 13 antibiotics and belonged to different ST types (ST37, ST290, and ST2640).ConclusionEffective surveillance and strict infection control strategies should be implemented to prevent outbreaks of ESBL-producing Klebsiella pneumoniae in giant pandas.

Adaptation of gut microbiome and host metabolic systems to lignocellulosic degradation in bamboo rats.

Bamboo rats (Rhizomys pruinosus) are among the few mammals that lives on a bamboo-based diet which is mainly composed of lignocellulose. However, the mechanisms of adaptation of their gut microbiome and metabolic systems in the degradation of lignocellulose are largely unknown. Here, we conducted a multi-omics analysis on bamboo rats to investigate the interaction between their gut microbiomes and metabolic systems in the pre- and post-weaning periods, and observed significant relationships between dietary types, gut microbiome, serum metabolome and host gene expression. For comparison, published gut microbial data from the famous bamboo-eating giant panda (Ailuropoda melanoleuca) were also used for analysis. We found that the adaptation of the gut microbiome of the bamboo rat to a lignocellulose diet is related to a member switch in the order Bacteroidales from family Bacteroidaceae to family Muribaculaceae, while for the famous bamboo-eating giant panda, several aerobes and facultative anaerobes increase after weaning. The conversion of bacteria with an increased relative abundance in bamboo rats after weaning enriched diverse carbohydrate-active enzymes (CAZymes) associated with lignocellulose degradation and functionally enhanced the biosynthesis of amino acids and B vitamins. Meanwhile, the circulating concentration of short-chain fatty acids (SCFAs) derived metabolites and the metabolic capacity of linoleic acid in the host were significantly elevated. Our findings suggest that fatty acid metabolism, including linoleic acid and SCFAs, are the main energy sources for bamboo rats in response to the low-nutrient bamboo diet.

Successful Production and Ligninolytic Activity of a Bacterial Laccase, Lac51, Made in Nicotiana benthamiana via Transient Expression.

Giant panda could have bamboo as their exclusive diet for about 2 million years because of the contribution of numerous enzymes produced by their gut bacteria, for instance laccases. Laccases are blue multi-copper oxidases that catalyze the oxidation of a broad spectrum of phenolic and aromatic compounds with water as the only byproduct. As a “green enzyme,” laccases have potential in industrial applications, for example, when dealing with degradation of recalcitrant biopolymers, such as lignin. In the current study, a bacterial laccase, Lac51, originating from Pseudomonas putida and identified in the gut microbiome of the giant panda’s gut was transiently expressed in the non-food plant Nicotiana benthamiana and characterized. Our results show that recombinant Lac51 exhibits bacterial laccase properties, with optimal pH and temperature at 7–8 and 40°C, respectively, when using syringaldazine as substrate. Moreover, we demonstrate the functional capability of the plant expressed Lac51 to oxidize lignin using selected lignin monomers that serve as substrates of Lac51. In summary, our study demonstrates the potential of green and non-food plants as a viable enzyme production platform for bacterial laccases. This result enriches our understanding of plant-made enzymes, as, to our knowledge, Lac51 is the first functional recombinant laccase produced in plants.

Comparison of genetic characteristics between captive and wild giant pandas based on 13 mitochondrial coding genes.

Research on genetic diversity based on mitochondrial DNA of giant pandas mainly focused on a single marker or a few genes. To provide a more comprehensive assessment of the genetic diversity on giant pandas based on 13 mitochondrial protein coding genes. We assembled 13 protein coding genes in the mitochondrial genome of the giant panda based on the whole genome sequencing data, including ND1, ND2, COX1, COX2, ATP8, ATP6, COX3, ND3, ND4L, ND4, ND5, ND6 and Cyt b. We successfully obtained long sequence of 11,416 base pairs with all 13 genes for 110 giant panda individual, accounting for 67.93% in length of the mitochondrial reference genome. Haplotype diversity was 0.9518 ± 0.009 and nucleotide diversity (π) was 0.00157 ± 0.00014. We detected three new haplotypes, including GPC10 and GPC21 for the CR sequence and GPB12 for the Cyt b gene. These multi-gene sequences provided more genetic variable information to compare captive and wild giant panda population.

Tourism Demand Forecasting Considering Environmental Factors: A Case Study for Chengdu Research Base of Giant Panda Breeding

Effectively prediction of the tourism demand is of great significance to rationally allocate resources, improve service quality, and maintain the sustainable development of scenic spots. Since tourism demand is affected by the factors of climate, holidays, and weekdays, it is a challenge to design an accurate forecasting model obtaining complex features in tourism demand data. To overcome these problems, we specially consider the influence of environmental factors and devise a forecasting model based on ensemble learning. The model first generates several sub-models, and each sub-model learns the features of time series by selecting informative sequences for reconstructing the forecasting input. A novel technique is devised to aggregate the outputs of these sub-models to make the forecasting more robust to the non-linear and seasonal features. Tourism demand data of Chengdu Research Base of Giant Panda Breeding in recent 5 years is used as a case to validate the effectiveness of our scheme. Experimental results show that the proposed scheme can accurately forecasting tourism demand, which can help Chengdu Research Base of Giant Panda Breeding to improve the quality of tourism management and achieve sustainable development. Therefore, the proposed scheme has good potential to be applied to accurately forecast time series with non-linear and seasonal features.

Lignocellulose Fermentation Products Generated by Giant Panda Gut Microbiomes Depend Ultimately on pH Rather than Portion of Bamboo: A Preliminary Study.

Giant pandas feed almost exclusively on bamboo but miss lignocellulose-degrading genes. Their gut microbiome may contribute to their nutrition; however, the limited access to pandas makes experimentation difficult. In vitro incubation of dung samples is used to infer gut microbiome activity. In pandas, such tests indicated that green leaves are largely fermented to ethanol at neutral pH and yellow pith to lactate at acidic pH. Pandas may feed on either green leaves or yellow pith within the same day, and it is unclear how pH, dung sample, fermentation products and supplied bamboo relate to one another. Additionally, the gut microbiome contribution to solid bamboo digestion must be appropriately assessed. Here, gut microbiomes derived from dung samples with mixed colors were used to ferment green leaves, also by artificially adjusting the initial pH. Gut microbiomes digestion of solid lignocellulose accounted for 30–40% of the detected final fermentation products. At pH 6.5, mixed-color dung samples had the same fermentation profile as green dung samples (mainly alcohols), while adjusting the initial pH to 4.5 resulted in the profile of yellow dung samples (mainly lactate). Metaproteomics confirmed that gut microbiomes attacked hemicellulose, and that the panda’s alpha amylase was the predominant enzyme (up to 75%).

The Plaque Microbiota Community of Giant Panda (Ailuropoda melanoleuca) Cubs With Dental Caries

Dental caries severely hinders efficient access to adequate energy in wildlife. Different food supplies will develop characteristic plaque, and the microorganisms of these plaque are closely related to dental health. Here, plaque samples from panda cubs with caries and caries-free were collected for 16S rRNA high-throughput sequencing. All sequences clustered into 337 operational taxonomic units (OTUs; 97% identity), representing 268 independent species belonging to 189 genera, 98 families, 51 orders, 24 classes, and 13 phyla. Two groups shared 218 OTUs, indicating the presence of a core plaque microbiome. α diversity analysis showed that the microbial diversity in plaques with caries exceeded that of caries-free. The dominant phyla of plaque microbiota included Proteobacteria, Bacteroidetes, Firmicutes, Fusobacteria, and Actinobacteria. The dominant genera included unclassified Neisseriaceae, Actinobacillus, Lautropia, Neisseria, Porhyromonas, unclassified Pasteurellaceae, Moraxella, Streptococcus, Bergeywlla and Capnocytophaga. β diversity analysis showed that the plaque microbial community structure was different between two groups. Using LEfSe analysis, 19 differentially abundant taxa were identified as potential biomarkers. Finally, function predictions analysis showed All the energy related metabolic pathways on KEGG level 2 were enriched in caries-active group. Consistent with the mainstream caries-causing narrative, our results illuminate the lack of information regarding the oral microflora composition and function within giant panda cubs.