Hongyi Liu, Wei Xu, Nan Xu, Wenwen Zhang, Haoming Jiang, Yongqiang Zhao, Changhu Lu, Ying Zhu, Peng Xu. 2023: Fecal DNA metabarcoding reveals the dietary composition of wintering Red-crowned Cranes (Grus japonensis). Avian Research, 14(1): 100145. DOI: 10.1016/j.avrs.2023.100145
Citation: Hongyi Liu, Wei Xu, Nan Xu, Wenwen Zhang, Haoming Jiang, Yongqiang Zhao, Changhu Lu, Ying Zhu, Peng Xu. 2023: Fecal DNA metabarcoding reveals the dietary composition of wintering Red-crowned Cranes (Grus japonensis). Avian Research, 14(1): 100145. DOI: 10.1016/j.avrs.2023.100145

Fecal DNA metabarcoding reveals the dietary composition of wintering Red-crowned Cranes (Grus japonensis)

Funds: 

the National Natural Science Foundation of China 31800453

the Biodiversity Investigation, Observation and Assessment Program 2019–2023

the Ministry of Ecology and Environment of China 2110404

the Science and Technology Department of Sichuan Province 2022YFS0487

More Information
  • Corresponding author:

    E-mail address: hongyi_liu@njfu.edu.cn (H. Liu)

  • Received Date: 26 Apr 2023
  • Rev Recd Date: 25 Sep 2023
  • Accepted Date: 08 Oct 2023
  • Available Online: 10 Jan 2024
  • Publish Date: 05 Nov 2023
  • Understanding the diet of threatened wildlife is vital for species-specific conservation and habitat management measures. The Red-crowned Crane (Grus japonensis) is a vulnerable bird distributed in Northeast Asia. Previous dietary studies of this bird focused mainly on its plant food composition based on field observations and microhistological identification. Herein, a total of 45 fecal samples were collected in November, December and January (15 fecal samples each month) from wintering cranes, and then subjected to a high throughput sequencing meta-barcoding approach to determine the primary plant (rbcL) and animal (COI) food items in their diet. A total of 230 operational taxonomic units (OTUs) of plant foods and 371 OTUs of animal foods were obtained. The main plant foods in the wintering period were Miscanthus, Zea, and Hordeum genera, which were similar to those in the breeding and the migration periods. Both agricultural and natural plants were detected, indicating a relatively broad dietary niche for this crane species. However, the main animal foods were representatives of Theridiidae, Megascolecidae, and Agelenidae, in sharp contrast to previous studies. The higher number of small terrestrial arthropods in animal foods might be due to the indirect intake of plants. The composition of both plant and animal foods in the diet showed the highest diversity in December, while it was homogeneous in January. The plant of Zea genus became the main source of nutrition in late winter, as supplementary feeding was performed in the reserve, which could help Red-crowned Cranes to get through the cold season. The results obtained in this work would contribute to the development of effective conservation strategies for the Red-crowned Crane.

  • Influenza is an animal and human disease caused by the following genera of Orthomyxoviridae family: influenza virus A, influenza virus B, influenza virus C. Among them, only influenza A viruses have a wide range of hosts with waterfowl being the main hosts. Influenza A viruses are also isolated from pigs, horses, dogs, rodents, some marine mammals, cats, minks, and humans (Webster et al. 1992).

    The diversity of avian influenza viruses (AIV) is maintained by wild birds, which are the natural reservoir of influenza (Stallknecht and Shane 1988; Neumann and Kawaoka 2006). Anseriformes and Charadriiformes play a leading role in the natural circulation of influenza viruses. Anseriformes and Charadriiformes are long-distance migrants, and some species can cover up to several thousand kilometers and carry the virus over long distances, which is very important in terms of influenza epidemiology (Erohov 1988).

    The life cycle of Anseriformes and Charadriiformes includes stopover on water bodies where a great number of birds from various regions can gather during migration. This can result in the active exchange of influenza viruses, reassortment, the emergence of new variants, and their further spread. Influenza infections follow a seasonal pattern and usually peak in late autumn (Dowell 2001). This may be caused by the presence of many naive young birds in bird populations in autumn. Direct or indirect contacts between wild waterfowl and poultry are also very important as they usually result in influenza transmission and poultry outbreaks (Downie et al. 1977). Seasonal migrations of wild birds promote the spread of multiple influenza A viruses to distant areas and provide their long-term persistence in various ecosystems. It is therefore important to conduct the AIV surveillance in natural conditions.

    Water appears to be the optimal medium to maintain and transmit influenza viruses in nature, which explains the wide spread of this pathogen in waterfowl. In fresh water, the virus can retain infectivity for up to 4 days at 22 ℃, for more than 30 days at 0 ℃, and for a much longer period in ice and frozen soil (Rogers et al. 2004). It is likely that infected birds shed the virus in their feces. The virus gets into cold water and soil and persists for a whole winter. In spring, when birds come back, they are exposed to melted water and soil and reinfected (Marchenko et al. 2010a, b).

    The main breeding grounds of many migratory Anseriformes and Charadriiformes are located in the north of Russia. The West Siberian Plain is a territory of particular importance (Gilbert et al. 2006; Sharshov et al. 2007, 2010; Donchenko et al. 2010) as there are a lot of rivers and lakes in the south of Western Siberia that are situated on migratory routes and serve as breeding grounds for many species that are ecologically connected with water bodies. Lake Chany is the biggest lake of the region and is known to be the site of the largest migratory stopover of birds (Veen et al. 2005). The south of Western Siberia is crossed by several significant flyways, namely, Central Asian Flyway, Asian-East African Flyway, and East Asian‒Australasian Flyway. These flyways unite the populations of birds wintering in different regions such as Europe, Africa, Middle East, Central Asia, India, South-East Asia, Australia, and Oceania. These conditions favor the wide spread of different influenza viruses and the study of influenza A ecology in the south of Western Siberia. Such study may help to understand the reasons behind wide genetic diversity of influenza A viruses and the spread of this pathogen in Eurasia (Sharshov et al. 2011; Zaykovskaya et al. 2011).

    We conducted regular AIV surveillance in the south of Western Siberia. Cloacal swabs were collected from hunt-harvested wild birds or from wild birds captured using nets during spring and autumn migration. The samples were taken using dry cotton swabs and put into numbered vials with sterile transport medium. One-mL portions of prepared medium were packed in sterile 2-mL plastic vials. All procedures (component mixing and packing) with medium were performed under sterile conditions. Vials with medium were stored at +4 ℃ or room temperature for not more than 2 days. If a longer storage was necessary, vials were stored at ‒20 ℃. Collected samples were stored in liquid nitrogen or freezer at ≤‒70 ℃ before analysis.

    AIV isolation from cloacal swabs was performed in embryonated chicken eggs using three serial passages according to the WHO procedure and the national training course on animal influenza diagnosis and surveillance of China. After each passage, allantoic fluid was tested for hemagglutination activity in hemagglutination assay.

    Two-fold serial dilutions of tested allantoic fluid were prepared in 96-well plate using phosphate-buffered saline. Final volume of diluted allantoic fluid in each plate was 50 µL. A volume of 50 µL of erythrocyte suspension was added to each well and mixed by pipetting. Plates were incubated for 30 min at 4 ℃ before reading. The presence of hemagglutinating agents in samples of allantoic fluid was determined by suspended distribution of erythrocytes, and HA was considered positive. The well with last two-fold dilution, where HA was still positive, was considered as titration end point. The haemagglutination titre of the allantoic fluid was the reciprocal of this dilution. One hemagglutinating unit (HAU) was defined as the amount of AIV in titration end point. For hemagglutination inhibition assay, virus-containing allantoic fluid was diluted to 4 HU in 25 µL of fluid.

    Viral RNA was isolated from allantoic fluid using SV Total RNA Isolation System (Promega Corporation, USA). Uni12 universal primers and AMV-reverse Transcriptase (Fermentas, Lithuania) were used for reverse transcription. Gene-specific primers were used for PCR. Amplicons were extracted using QIA quick gel extraction kit (Qiagen, USA). RNA extraction, reverse transcription, amplification, and amplification product purification were performed in accordance with manufacturer's protocols. Previously described primers were used for subtyping (Hoffmann et al. 2001).

    Biological diversity of AIV in wild birds in the south of Western Siberia was studied in 2007‒2014. Annual field works were carried out during spring and autumn migration of wild birds to collect biological material. A total of 2300 samples from wild birds of the following 8 orders were collected: Anseriformes, Charadriiformes, Passeriformes, Ciconiiformes, Gruiformes, Podicipediformes, Pelecaniformes, and birds of prey. Majority of samples were collected from birds of 3 orders: Anseriformes, Charadriiformes, and Passeriformes. Samples from Anseriformes accounted for more than 70% of the total number, which is due to preferred sampling of birds from water and wetland ecological complexes. Sampling preferences were determined by literature data suggesting that Anseriformes play a pivotal role in AIV circulation. Most sampled birds belonged to Anseriformes and were represented primarily by wild ducks such as Garganey Teal (Anas querquedula), European Teal (Anas crecca), Pochard (Aythya ferina), Mallard Duck (Anas platyrhynchos), Gadwall (Anas strepera), and Shoveler (Anas clypeata). The number of studied Anseriformes samples is shown in Table 1.

    Table  1.  Sampled wild birds (Anseriformes) in the south of Western Siberia by species
    Species 2007 2008 2009 2010 2011 2012 2013 2014 Total number
    Garganey Teal (Anas querquedula) 90 79 36 52 48 2 16 52 375
    European Teal (Anas crecca) 89 74 29 34 41 25 27 34 353
    Pochard (Aythya ferina) 65 29 30 38 81 16 24 35 318
    Mallard Duck (Anas platyrhynchos) 57 24 17 16 27 16 41 29 227
    Gadwall (Anas strepera) 37 25 23 22 10 9 27 18 171
    Shoveler (Anas clypeata) 33 30 6 8 16 8 16 42 159
    Pintail (Anas acuta) 3 15 0 4 2 2 3 8 37
    Tufted Duck (Aythya fuligula) 2 3 1 0 4 2 3 4 19
    Wigeon (Anas penelope) 5 0 0 4 0 0 0 0 9
    Common Goldeneye (Bucephala clangula) 0 0 0 3 2 0 0 4 9
    Smew (Mergellus albellus) 4 0 0 0 0 0 0 2 6
    White-headed Duck (Oxyura leucocephala) 0 0 0 0 1 0 0 1 2
    Total number 385 279 142 181 232 80 157 229 1685
     | Show Table
    DownLoad: CSV

    These bird species are the most widespread in the south of Siberia and migrate there for nesting. They are considered the main natural reservoir of AIV. A total of 185 AIV isolates were obtained from biological material collected from Anseriformes. The following species dominate among Anseriformes from which AIV was isolated: Garganey Teal, European Teal, and Shoveler. The percent of viral carriers among Anseriformes ranged from 5.6 to 20% in this period (Table 2).

    Table  2.  AIV isolation from Anseriformes in 2007‒2014
    Year 2007 2008 2009 2010 2011 2012 2013 2014
    Isolation rate (%) 15.6 8.2 7.7 5.6 6 20 7 14.8
     | Show Table
    DownLoad: CSV

    There were also a lot of Charadriiformes among the sampled birds. A total of 556 Charadriiformes were sampled. The most frequent sampled species, which belong to family Laridae, were Common Gull (Larus canus), Black-headed Gull (L. ridibundus), and European Herring Gull (L. argentatus). These species accounted for more than 65.55% of sampled Charadriiformes. A significant number of sampled birds belong to family Scolopacidae (waders, peewit, Ruff Calidris pugnax, Black-tailed Godwit Limosa limosa, and curlew) and accounted for 21.04% of sampled Charadriiformes. Although there were few birds of other Charadriiformes species, it is important to study these species as carriers of the virus to determine the host range of AIV.

    Our findings suggest that wetland birds, namely Anseriformes, play a key role in the maintenance of natural AIV circulation. We compared the numbers of AIV carriers within wild bird populations in the south of Western Siberia in 2007‒2014. European Teal is one of the most widespread species of Anseriformes in the south of Western Siberia. European Teal winters in western Europe, the Mediterranean, and the Caspian Sea. Various subtypes (H1N1, H2N1, H3N8, H4N6, H5N1, H8N4, H8N4, and H15N4) were isolated from European Teals during influenza surveillance in Russian Federation (Sivay et al. 2011, 2013, 2014; Marchenko et al. 2010a, 2012a, b; Donchenko et al. 2012; Sharshov et al. 2012; Sayfutdinova et al. 2012). Lower virus isolation rates are typical for Charadriiformes (Webster et al. 1992; Stallknecht and Shane 1988; Neumann and Kawaoka 2006). In our study, the percent of viral carriers among Charadriiformes was 1.4%. Literature data suggest that AIV isolation rate in Charadriiformes ranges from 0.51 to 10.07% (Hurt et al. 2006; Germundsson et al. 2010). The AIV isolation rate for Coot (Fulica atra), which was the only sampled member of the order Gruiformes, was 2.6%.

    Our findings demonstrate that the highest percent of viral carriers among Anseriformes was reported in 2012 and 2014, which may be related to climatic conditions. In particular, aquatic conditions (hydrological regime of water bodies, seasonal dryness, etc.) are most important for Anseriformes. Migration period in each year is also very important for AIV transmission and influences the density of migratory birds in gathering sites. Mass gatherings of birds are occasionally observed in some habitats in spring and autumn. A number of species form monospecies and multispecies colonies consisting of several thousand birds during nesting period. Local gatherings including up to 50 species and more than 20, 000 birds at a time occur in post-nesting periods and during flight. Mass gatherings involve contacts between different species or populations and create conditions that favour the spread of viral and infectious diseases (Downie et al. 1977; Webster et al. 1992; Veen et al. 2005; Neumann and Kawaoka 2006; Marchenko et al. 2010a, b).

    Phylogenetic analysis of M gene of all AIV strains isolated in the study has shown that the viruses are avian-like. The following two main groups of viruses can be distinguished: avian influenza viruses of Eurasian lineage (Eurasian clade) and gull influenza viruses. In terms of isolation dates, all viruses on M gene phylogenetic tree are chaotically positioned, which is suggestive of persistence of different M gene lineages in populations of wild birds in the south of Western Siberia. Phylogenetic analysis shows that avian-like viruses circulate in the south of Western Siberia in wild birds of orders Anseriformes, Ciconiiformes, Gruiformes, and Charadriiformes. Gulls are one of the main reservoirs of low pathogenic avian influenza A viruses. However, mechanisms of transmission and maintenance of certain influenza subtypes in gull populations remain poorly understood. Despite the fact that most existing influenza subtypes were isolated from gulls, only two hemagglutinin subtypes (H13 and H16) mainly circulate in gulls, and available evidence of multiple observations suggest that in nature these two subtypes are primarily maintained in gull populations (Fouchier et al. 2005). It has been shown recently that gull influenza viruses have specific gene pool and undergo frequent gene reassortment (Sharshov et al. 2014a, b).

    The south of Western Siberia is located in the center of Eurasia, crossed by three main flyways of migratory birds and unites the migratory flyways of European, African, Asian, and Oceanic birds (Veen et al. 2005). The climate of the region favors prolonged viral persistence in soil and water (Sivay et al. 2012a, b; De Marco et al. 2014).

    Western Siberia plays an important role in persistence, evolution, and geographical spread of avian influenza viruses. Our findings warrant further influenza surveillance program in wild birds of Western Siberia belonging to different taxonomic and ecological groups. This study may bring valuable data on influenza diversity, evolution, and geographical spread.

    KAS and AMS conceived and designed the experiments. KAS, XL, WW, and AMS performed the experiments. KAS, WW, LL, YB, WL, TS, and HO analyzed the data. KAS, XL, and AMS contributed reagents/materials/analysis tools. KAS, WW, LL, YB, WL, TS, and HO wrote the paper. KAS, AKY, XL, and AMS collected data and biological samples. KAS, WW, LL, YB, WL, TS, and HO contributed to fruitful discussion and critical revision of the manuscript. All authors read and approved the final manuscript.

    The study was supported by RFBR Grant 16-34-00306\16 mol. We thank Vladimir Petrov from Research Institute of Experimental and Clinical Medicine for valuable suggestions regarding the language of the manuscript.

    The authors declare that they have no competing interests.

  • Alberdi, A., Aizpurua, O., Bohmann, K., Gopalakrishnan, S., Lynggaard, C., Nielsen, M., et al., 2019. Promises and pitfalls of using high-throughput sequencing for diet analysis. Mol. Ecol. Resour. 19, 327–348. .
    BirdLife International, 2021. Grus japonensis. errata version published in 2022 The IUCN red list of threatened species 2021: e. T22692167A213488064. (Accessed 14 January 2023).
    Bourbour, R.P., Aylward, C.M., Tyson, C.W., Martinico, B.L., Goodbla, A.M., Ely, T.E., et al., 2021. Falcon fuel: metabarcoding reveals songbird prey species in the diet of juvenile Merlins (Falco columbarius) migrating along the Pacific Coast of western North America. Ibis 163, 1282–1293. .
    Caporaso, J.G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F.D., Costello, E.K., et al., 2010. QIIME allows analysis of high-throughput community sequencing data. Nat. Methods 7, 335. .
    Chen, H., Boutros, P.C., 2011. VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R. BMC Bioinf. 12, 35. .
    Clare, E.L., 2014. Molecular detection of trophic interactions: Emerging trends, distinct advantages, significant considerations and con-servation applications. Evol. Appl. 7, 1144–1157. .
    Corse, E., Tougard, C., Archambaud-Suard, G., Agnese, J.F., Mandeng, F.D.M., Bilong, C.F.B., et al., 2019. One-locus-several-primers: A strategy to improve the taxonomic and haplotypic coverage in diet metabarcoding studies. Ecol. Evol. 9, 4603–4620. .
    Cui, L.L., Li, G.S., Liao, H.J., Ouyang, N.L., Zhang, Y., 2015. Integrated approach based on a regional habitat succession model to assess wetland landscape ecological degradation. Wetlands 35, 281–289. .
    Garfinkel, M., Minor, E., Whelan, J., 2022. Using faecal metabarcoding to examine consumption of crop pests and beneficial arthropods in communities of generalist avian insectivores. Ibis 164, 27–43. .
    Geller, J., Meyer, C., Parker, M., Hawk, H., 2013. Redesign of PCR primers for mitochondrial cytochrome c oxidase subunit Ⅰ for marine invertebrates and application in all-taxa biotic surveys. Mol. Ecol. Resour. 13, 851–861. .
    Gong, Y.Z., Bi, X., Wu, J., 2020. Willingness to pay for the conservation of the endangered red-crowned crane in China: Roles of conservation attitudes and income. For. Policy Econ. 120, 102296 .
    Guan, Q., Liu, J.P., Batzer, D.P., Lu, X.G., Wu, H.T., 2018. Snails (Mollusca: Gastropoda) as potential surrogates of overall aquatic invertebrate assemblage in wetlands of Northeastern China. Ecol. Indicat. 90, 193–200. .
    Hemminger, K., König, H., Månsson, J., Bellingrath-Kimura, S.D., Nilsson, L., 2022. Winners and losers of land use change: A systematic review of interactions between the world’s crane species (Gruidae) and the agricultural sector. Ecol. Evol. 12, e8719 .
    Hofreiter, M., Poinar, H.N., Spaulding, W.G., Bauer, K., Martin, P.S., Possnert, G., et al., 2000. A molecular analysis of ground sloth diet through the last glaciation. Mol. Ecol. 9, 1975–1984. .
    Hou, J.J., Li, L., Wang, Y.F., Wang, W.J., Zhan, H.Y., Dai, N.H., et al., 2021. Influences of submerged plant collapse on diet composition, breadth, and overlap among four crane species at Poyang Lake, China. Front. Zool. 18, 24. .
    Jongbloed, R.H., Traas, T.P., Luttik, R., 1996. A probabilistic model for deriving soil quality criteria based on secondary poisoning of top predators: Ⅱ. Calculations for Dichlorodiphenyltrichloroethane (DDT) and Cadmium. Ecotoxicol. Environ. Saf. 34, 279–306. .
    Jordan, M.J.R., 2006. Dietary analysis for mammals and birds: A review of field techniques and animal-management applications. Int. Zoo Yearbk. 39, 108–116. .
    Kartzinel, T.R., Pringle, R.M., 2015. Molecular detection of invertebrate prey in vertebrate diets: trophic ecology of Caribbean island lizards. Mol. Ecol. Resour. 15, 903–914. .
    Kataoka, H., Koita, N., Ito, K.N., Ito, H.C., Nakajima, M., Momose, K., et al., 2022. Metabarcoding of feces and intestinal contents to determine carnivorous diets in red-crowned cranes in eastern Hokkaido, Japan. J. Vet. Med. Sci. 84, 358–367. .
    Lamb, P.D., Hunter, E., Pinnegar, J.K., Creer, S., Davies, R.G., Taylor, M.I., 2019. How quantitative is metabarcoding: A meta-analytical approach. Mol. Ecol. 28, 420–430. .
    Lee, H., Chung, O., Cho, Y.S., Jho, S., Jun, J., Weber, J.A., et al., 2020. Whole genome analysis of the red-crowned crane provides insight into avian longevity. Mol. Cells 43, 86–95. .
    Leray, M., Yang, J.Y., Meyer, C.P., Mills, S.C., Agudelo, N., Ranwez, V., et al., 2013. A new versatile primer set targeting a short fragment of the mitochondrial COI region for metabarcoding metazoan diversity: application for characterizing coral reef fish gut contents. Front. Zool. 10, 34. .
    Li, D.L., Ding, Y.Q., Yuan, Y., Lloyd, H., Zhang, Z.W., 2014. Female tidal mudflat crabs represent a critical food resource for migratory red-crowned cranes in the Yellow River Delta, China. Bird. Conserv. Int. 24, 416–428. .
    Li, D.L., Zhang, J., Chen, L.Y., Lloyd, H., Zhang, Z.W., 2020. Burrow ambient temperature influences Helice crab activity and availability for migratory red-crowned cranes Grus japonensis. Ecol. Evol. 10, 11523–11534. .
    Lin, J., Sun, D., Zhang, Z.L., Duan, Z.Q., Dong, J.L., 2021. Heavy metals and health risk of rice sampled in Yangtze River Delta, China. Food Addit. Contam. Part B-Surveill. 14, 133–140. .
    Liu, H.Y., Chen, Z.W., Gao, G., Sun, C.H., Li, Y.D., Zhu, Y., 2019. Characterization and comparison of gut microbiomes in nine species of parrots in captivity. Symbiosis 78, 241–250. .
    Luo, J.M., Wang, Y.J., Wang, W.F., Gao, Z.Y., 2017. Characterization of trophic position of red-crowned crane (Grus japonensis) influenced by the food resource exhausting. Chin. J. Appl. Ecol. 28, 2315–2320. . (in Chinese).
    Luo, J.M., Ye, Y.J., Gao, Z.Y., Wang, W.F., 2015. Stomach content and faecal analysis of red-crowned crane (Grus japonensis) in Zhalong Wetland, northeastern China. Biologia 70, 542–546. .
    Luo, J.M., Ye, Y.J., Gao, Z.Y., Wang, Y.J., Wang, W.F., 2016. Trace Element (Pb, Cd, and As) Contamination in the sediments and organisms in Zhalong wetland, northeastern China. Soil Sediment Contam. 25, 395–407. .
    Moayyedi, P., Surette, M.G., Kim, P.T., Libertucci, J., Wolfe, M., Onischi, C., et al., 2015. Fecal microbiota transplantation induces remission in patients with Active ulcerative colitis in a randomized controlled trial. Gastroenterology 149, 102–109. .
    Montoya, J.M., Pimm, S.L., Solé, R.V., 2006. Ecological networks and their fragility. Nature 442, 259–264. .
    Nota, K., Downing, S., Iyengar, A., 2019. Metabarcoding-based dietary analysis of hen harrier (Circus cyaneus) in Great Britain using buccal swabs from chicks. Conserv. Genet. 20, 1389–1404. .
    Onrust, J., Wymenga, E., Piersma, T., Olff, H., 2019. Earthworm activity and availability for meadow birds is restricted in intensively managed grasslands. J. Appl. Ecol. 56, 1333–1342. .
    Pan, Y.H., Zhu, J., Hong, Y., Zhang, M.N., Lv, C., Guo, B.J., et al., 2021. Identification of novel QTL contributing to barley yellow mosaic resistance in wild barley (Hordeum vulgare spp. spontaneum). BMC Plant Biol. 21, 560. .
    Pang, L.L., Li, Y.S., Chen, J., Sun, J.Y., Wang, Q.Y., 2015. The distribution characteristics and application of Cyperaceae plant resources in Jiangsu province. Plant Divers. Resour. 37, 616–628. . (in Chinese).
    Ran, R.K., Zhao, Q., Abuzeid, A.M.I., Huang, Y., Liu, Y.Q., Sun, Y.X., et al., 2020. Mitochondrial genome sequence of Echinostoma revolutum from red-crowned crane (Grus japonensis). Kor. J. Parasitol. 58, 73–79. .
    Seifert, E., 2014. OriginPro 9.1: Scientific data analysis and graphing software—software review. J. Chem. Inf. Model. 54, 1552. .
    Sherwani, R.A.K., Shakeel, H., Awan, W.B., Faheem, M., Aslam, M., 2021. Analysis of COVID-19 data using neutrosophic Kruskal Wallis H test. BMC Med. Res. Methodol. 21, 215. .
    Stenhouse, E.H., Bellamy, P., Kirby, W., Vaughan, I.P., Drake, L.E., Marchbank, A., et al., 2023. Multi-marker DNA metabarcoding reveals spatial and sexual variation in the diet of a scarce woodland bird. Ecol. Evol. 13, e10089 .
    Tang, K.Y., Wang, Y.F., Wu, M.L., Wang, S.F., Fu, C.K., Zhang, Z.W., et al., 2022. Metabarcoding of fecal DNA reveals the broad and flexible diet of a globally endangered bird. Curr. Zool. 69, zoac071 .
    Varga, I., 2003. Structure and changes of macroinvertebrate community colonizing decomposing rhizome litter of common reed at Lake Fertő/Neusiedler See (Hungary). Hydrobiologia 506, 413–420. .
    Wang, C., Liu, H.Y., Li, Y.F., Dong, B., Qiu, C.Q., Yang, J.L., et al., 2021. Study on habitat suitability and environmental variable thresholds of rare waterbirds. Sci. Total Environ. 785, 147316 .
    Wang, G., Wang, C., Guo, Z.R., Dai, L.J., Wu, Y.Q., Liu, H.Y., et al., 2020. A multiscale approach to identifying spatiotemporal pattern of habitat selection for red-crowned cranes. Sci. Total Environ. 739, 139980 .
    Wang, J., Zhang, H.B., Li, Y.F., Liu, H.Y., 2022b. Assessment on overwintering habitat quality of red-crowned cranes in Yellow Sea wetlands in Yancheng and its management strategies. Wetland Sci 20, 334–340. . (in Chinese).
    Wang, Y., Hill, E.R., Campbell, W.W., O’Connor, L.E., 2022a. Plant- and animal-based protein-rich foods and cardiovascular health. Curr. Atherosclerosis Rep. 24, 197–213. .
    Wang, Y.Y., Lv, X.Y., Zhan, H.F., Li, B.Q., Zhu, D., Wu, J.S., et al., 2022. Effect of diet on gut microbiota diversity in mandarin ducks (Aix galericulata) revealed by Illumina high-throughput sequencing. Arch. Microbiol. 204, 725. .
    Wu, H.T., Guan, Q., Lu, K.L., Batzer, D.P., 2019. Aquatic macroinvertebrate assemblages in wetlands of Northeastern China. Hydrobiologia 838, 153–162. .
    Xie, Y., Xia, P., Wang, H., Yu, H., Giesy, J.P., Zhang, Y., et al., 2016. Effects of captivity and artificial breeding on microbiota in feces of the red-crowned crane (Grus japonensis). Sci. Rep. 6, 33350 .
    Xu, N., Chen, Y.N., Zhang, J.M., Zhang, Q.Z., Yang, J., Li, J.J., et al., 2020a. Development and characterization of 33 SNP markers for the red-crowned crane (Grus japonensis) using a genotyping-by-sequencing approach. Conserv. Genet. Resour. 12, 385–387. .
    Xu, N., Ye, W.T., Sun, C.H., He, K., Zhu, Y., Lan, H., et al., 2022. Genetic diversity and differentiation of MHC Class I genes in red-crowned crane populations. Front. Ecol. Evol. 10, 898581 .
    Xu, P., Chen, H., Cui, D.Y., Li, C.R., Chen, G.Y., Zhao, Y.Q., et al., 2020b. Reinforcement project and breeding cases of introduced endangered red-crowned cranes Grus japonensis in Yancheng National Nature Reserve, China. Ornithol. Sci. 19, 93–97. .
    Xu, P., Zhang, Y.L., Zhang, X.R., Chen, H., Lu, C.H., 2019. Red-crowned crane (Grus japonensis) prefers postharvest reed beds during winter period in Yancheng national nature reserve. PeerJ 7, e7682. .
    Xu, W., Xu, N., Zhang, Q.Z., Tang, K.Y., Zhu, Y., Chen, R., et al., 2023. Association between diet and the gut microbiome of young captive red-crowned cranes (Grus japonensis). BMC Vet. Res. 19, 80. .
    Yang, Z.H., Zou, H.F., 2020. Effects of foraging corn behavior on energy intake and egg shell characteristics in wilding red-crowned crane (Grus japonensis) couple during breeding period. Chin. J. Wildl. 41, 648–654.. . (in Chinese).
    Ye, W.T., Xu, W., Xu, N., Chen, R., Lu, C.H., Liu, H.Y., 2021. Comprehensive transcriptome characterization of Grus japonensis using PacBio SMRT and Illumina sequencing. Sci. Rep. 11, 23927 .
    Yoshikawa, T., Osada, Y., 2015. Dietary Compositions and their seasonal shifts in Japanese resident birds, estimated from the analysis of volunteer monitoring data. PLoS One 10, e0119324. .
    Zhao, X.Y., Jiang, H.M., Xu, N., Zhao, Y.Q., Zhao, F.J., Xu, R.F., et al., 2023. Molecular diet analysis of common cranes (Grus grus) under supplementary feeding based on fecal DNA metabarcoding. Ecosphere 14, e4631. .
    Zhao, X.Y., Ye, W.T., Xu, W., Xu, N., Zheng, J.J., Chen, R., et al., 2022. Changes in the diversity and composition of gut microbiota of red-crowned cranes (Grus japonensis) after avian influenza vaccine and anthelmintic treatment. Animals 12, 1183. .
    Zhou, D.Q., Zhang, H.N., Zhang, X.S., Zhang, W.W., Zhang, T.T., Lu, C.H., 2021. Habitat changes in the most important stopover sites for the endangered red-crowned crane in China: a large-scale study. Environ. Sci. Pollut. Res. 28, 54719–54727. .
  • Related Articles

  • Cited by

    Periodical cited type(4)

    1. Axelle Scoizec, Eric Niqueux, Audrey Schmitz, et al. New Patterns for Highly Pathogenic Avian Influenza and Adjustment of Prevention, Control and Surveillance Strategies: The Example of France. Viruses, 2024, 16(1): 101. DOI:10.3390/v16010101
    2. Yuting Xu, Ling Tang, Xiaojun Gu, et al. Characterization of avian influenza A (H4N2) viruses isolated from wild birds in Shanghai during 2019 to 2021. Poultry Science, 2023, 102(10): 102948. DOI:10.1016/j.psj.2023.102948
    3. N. M. Faustova, S. S. Petlitskaya, I. N. Ampilogova, et al. Neuraminidase Inhibitors: Development and Validation of a Procedure for <i>In Vitro</i> Determination of the Inhibitory Effect. Bulletin of the Scientific Centre for Expert Evaluation of Medicinal Products. Regulatory Research and Medicine Evaluation, 2023, 13(1): 60. DOI:10.30895/1991-2919-2022-387
    4. Christos S. Zerefos, Stavros Solomos, John Kapsomenakis, et al. Lessons learned and questions raised during and post-COVID-19 anthropopause period in relation to the environment and climate. Environment, Development and Sustainability, 2021, 23(7): 10623. DOI:10.1007/s10668-020-01075-4

    Other cited types(0)

Catalog

    Figures(8)  /  Tables(1)

    Article Metrics

    Article views (13) PDF downloads (12) Cited by(4)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return