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Yufei Dai, Qingxian Lin, Wenzhen Fang, Xiaoping Zhou, Xiaolin Chen. 2015: Noninvasive and nondestructive sampling for avian microsatellite genotyping: a case study on the vulnerable Chinese Egret (Egretta eulophotes). Avian Research, 6(1): 24. DOI: 10.1186/s40657-015-0034-x
Citation: Yufei Dai, Qingxian Lin, Wenzhen Fang, Xiaoping Zhou, Xiaolin Chen. 2015: Noninvasive and nondestructive sampling for avian microsatellite genotyping: a case study on the vulnerable Chinese Egret (Egretta eulophotes). Avian Research, 6(1): 24. DOI: 10.1186/s40657-015-0034-x

Noninvasive and nondestructive sampling for avian microsatellite genotyping: a case study on the vulnerable Chinese Egret (Egretta eulophotes)

More Information
  • Corresponding author:

    Xiaoping Zhou. xpzhou@xmu.edu.cn

    Xiaolin Chen. xlchen@xmu.edu.cn

  • Received Date: 11 Feb 2015
  • Accepted Date: 21 Nov 2015
  • Available Online: 24 Apr 2022
  • Published Date: 03 Sep 2015
  • Background 

    Noninvasive and nondestructive DNA sampling techniques are becoming more important in genetic studies because they can provide genetic material from wild animals with less or even without disturbance, which is particularly useful for the study of endangered species, i.e., birds. However, nondestructively and noninvasively sampled DNA may, in some cases, be inadequate in the amount and quality of the material collected, which can lead to low amplification success rates and high genotyping errors.

    Methods 

    In this study, noninvasive (eggshell swab, shed feather and feces), nondestructive (plucked feather and buccal swab) and invasive (blood) DNA samples were collected from the vulnerable Chinese Egret (Egretta eulophotes). DNA concentrations, PCR amplification success and microsatellite genotyping errors of different sample types were evaluated and compared to determine whether noninvasive and nondestructive samples performed as well as invasive samples in our experimental procedures.

    Results 

    A total of 159 samples were collected in the field. Among the different sample types, the highest DNA concentrations (154.0–385.5 ng/μL) were obtained from blood. Those extracted from fecal samples were the lowest, ranging from 1.25 to 27.5 ng/μL. Almost all of the DNA samples, i.e., 95.59 %, were successfully amplified for mtDNA (n = 152) and 92.76 % of mtDNA samples were successfully genotyped for at least five of the nine microsatellite loci tested (n = 141). Blood samples and buccal swabs produced reliable genotypes with no genotyping errors, but in feces, allelic dropouts and false alleles occurred in all nine loci, with error rates ranging from 6.67 to 38.10 % for the dropouts and from 6.06 to 15.15 % for the false alleles.

    Conclusions 

    These results indicate that both nondestructive and noninvasive samplings are suitable for avian microsatellite genotyping, save for fecal DNA. However, we should remain cautious of the appearance of genotyping errors, especially when using noninvasive material.

  • Small birds usually show seasonal changes in morphology, physiology and behavior in response to altered environmental conditions (; , ; ; ). Seasonal changes in the energy requirements of birds, as well as in food availability and quality, affect their ability to obtain and digest food (). From the point of view of energy requirements, winter is a stressful period for small birds in temperate zones, because thermoregulatory costs increase while food quality and availability decrease (). The risk of energy requirements exceeding the seasonally available food supply is a strong selective pressure for the evolution of morphological, physiological and behavioral adaptations that enhance the probability of survival over winter (; ; ; ). For birds maintaining constant body mass and body composition, time-averaged energy intake equals time-averaged energy use (). This balance depends on the interplay between the intake and digestive processing of matter and energy and their allocation among diverse functions, including thermoregulation, growth and reproduction (; ; ). Increased food intake, hypertrophy of the gastrointestinal tract and the consequent increased absorption of nutrients may be viewed as responses by wintering birds to physical and biotic seasonal habitats (, ).

    Phenotypic flexibility is the induced modification of a morphological or physiological trait in response to changes in environmental conditions (; ; ); examples are rapid, reversible and repeatable changes in body composition, organ size and digestive processes (; ; ). Birds resident in temperate climates provide a natural experiment in phenotypic flexibility with respect to body composition, organ size and digestive tract morphology (; ; ; ; ). Previous research suggests that the avian digestive tract is a suitable organ to study the basic mechanism of phenotypic structural variation (; ; ; ). Among others, we suggest the following causes: (1) The morphologies of avian digestive tracts are correlated with food composition; frugivorous and nectar-feeding birds have smaller and shorter digestive tracts than granivorous and insectivorous species (; ; ; ). (2) Many avian species change their diet throughout the year. Birds often switch from high fat foods and carbohydrates in autumn and winter (e.g. seeds and berries) to high protein foods (e.g. insects and new plant tissue) in spring and summer (; ; ). (3) The avian digestive tract depends not only on resorption and assimilation processes but also on adjustment of its morphology, such as its epithelial resorptive surface dimensions, volume and transport efficiency (; ; ). In winter, as the energy demand increases, some species of birds are able to increase digestive efficiency by changes in their digestive tract morphology (; ; ). Indeed, the mass of the digestive tract provides a useful indication of daily energy expenditure. The digestive tract and liver of vertebrates may account for 20-25% of the respiration of an entire animal (; ). Within species, increases in size of the alimentary organs are associated with increases in basal metabolism (; ).

    The Chinese Bulbul (Pycnonotus sinensis) is a small passerine that is a resident breeder in vast areas of East and South Asia, including central, southern and eastern China. It is the most common bird in Zhejiang Province and has recently spread to central China (). Chinese Bulbuls preferentially live in scrub lands, bamboo and coniferous forests, but also inhabit vegetation around villages on deforested plains and hills (). They are reported to have a high body temperature (Tb), an upper critical temperature (Tuc), low BMR, a relatively wide thermal neutral zone (TNZ) () and are able to increase their body mass and BMR in response to colder temperatures (). This species appears to meet increased energy requirements in winter by increasing the mass of certain internal organs and respiratory enzyme activity (; ). Chinese bulbuls are omnivorous, feeding mainly on arthropods (insects and spiders) and mollusks (snails and slugs) in spring and summer and plant foods (buds, fruits and seeds) in autumn and winter (; ). We selected this species because: 1) Chinese Bulbuls are common residents in Zhejiang Province and a good species in which to study seasonal change and 2) our previous research on this species (; ; ; ; ; ; ; ) provides critical background information. However, seasonal patterns of energy budgets in wild bulbuls throughout an entire annual cycle have not been previously measured.

    We measured the body mass, energy budget and digestive tract morphology of Chinese Bulbuls in all four seasons in Wenzhou, China. We hypothesized that phenotypic variation in overall body mass and digestive organ mass may play important roles in the adaptation of this species to changing seasonal environments. We predicted that Chinese Bulbuls increase their body mass, energy intake, length and mass of their digestive tract in colder seasons.

    This study was carried out in Wenzhou City, Zhejiang Province (27°29′N, 120°51′E, 14 m in elevation). The climate in Wenzhou is warm-temperate with an average annual rainfall of 1700 mm spread across the entire year with slightly more precipitation during winter and spring. Mean daily maximum temperatures range from 39℃ in July to 8℃ in January and mean daily minima from 28℃ in July to 3℃ in January. The mean annual temperature is 18℃. There are seven months (March through September) in which the extreme maximum ambient temperature is above 37℃. Daylight ranges from 14.3 in July to 10.2 h in January. In Wenzhou, the mean temperatures of spring (March to May), summer (June to August), autumn (September to November) and winter (December to February) are 15, 32, 27 and 8℃ (data from Wenzhou Bureau of Meteorology).

    Chinese Bulbuls were captured in mist nets during the four seasons from 2009 to 2011. Eighteen to 24 adult bulbuls were caught in each season, 88 birds in total. Body mass to the nearest 0.1 g was determined immediately upon capture with a Sartorius balance (model BT25S). Bulbuls were transported to outdoor aviaries and caged for 1 or 2 days (50 cm × 30 cm × 20 cm) under natural photoperiod and temperature before measurement of their energy budget. Food and water were supplied ad libitum. Body temperatures were measured between 21:00 and 23:00 hours by inserting the probe of a digital thermometer (Beijing Normal University Instruments Co.) 3 cm into the cloaca of each bird and taking a reading in 30 s. Animal handling and experimental protocols were approved by the Wenzhou Institutional Animal Care and Use Committee and conformed to the guidelines of the Ornithological Council.

    The energy intake of the birds caught in each season was measured over three days according to previously established methods (; ). Non-absorped food and feces were collected after the 3-day period, separated manually and oven-dried at 70℃ for at least 72 h. The caloric contents of the dried food and feces were then determined using a C 200 oxygen bomb calorimeter (IKA Instrument, Germany). Gross energy intake (GEI), fecal energy (FE), digestible energy intake (DEI) and digestibility of energy were calculated according to and :

    GEI(kJ/day)=dryfoodintake(g/day)×caloricvalueofdryfood(kJ/g)
    FE(kJ/day)=drymassoffeces(g/day)×caloricvalueofdryfeces(kJ/g)
    DEI(kJ/day)=GEI(kJ/day)FE(kJ/day)
    Digestibility(%)=DEI(k)/ day)/GEI(kJ/day)×100%

    Birds were sacrificed by decapitation at the conclusion of energy budget measurements, the digestive tract was removed and the gizzard, small intestines and rectum were separated (see below). Liver, heart, lung, spleen and kidneys were then removed. The remaining carcasses (including the brain) were weighed to determine wet mass, dried in an oven at 60℃ to a constant mass and then weighed (to 1 mg) again to determine dry mass. Total fat was extracted from the dried carcasses by ether extraction in a Soxtec 2050 Soxhlet apparatus (FOSS Instrument, Germany). Body water and fat content were calculated according to and :

    Bodywatercontent=(wetcarcassmassdrycarcassmass)÷(wetcarcassmassbodyfatcontent)×100%
    Bodyfatcontent=(totalfatofcarcass/wetcarcassmass)×100%

    The digestive tract (gizzard, small intestines and rectum) of each bird was measured (±1 mm) and weighed (±0.1 mg). The gizzard, small intestines and rectum were then rinsed with a saline solution to eliminate all gut contents before being dried and reweighed. These organs were then dried to a constant mass over three days at 65℃ and weighed to the nearest 0.1 mg (; ).

    The data were analyzed using SPSS (version 12.0 for Windows). Distributions of all variables were tested for normality using the Kolmogorov-Smirnov test. Non-normal distributed data were transformed using natural logarithms. A one-way ANOVA was used to determine the significance of seasonal differences in the measured variables. Least significant difference (LSD) post hoc tests were used when differentiation among seasons was required. Seasonal differences in the measured variables, except for those in body mass and temperature, were also evaluated using an ANCOVA with body mass as a covariate where appropriate. For percentage data, an arcsine-square-root transformation was carried out prior to analysis to normalize the data. The results are expressed as mean±SE, where p < 0.05 was considered statistically significant.

    The body mass of Chinese Bulbuls showed a significant seasonal variation (ANOVA, F3, 84=8.493, p < 0.001, Table 1); birds caught in winter and spring were significantly heavier than those caught in summer and autumn (post hoc, p < 0.05). Body temperature also showed significant seasonal variation (ANOVA, F3, 84=2.957, p < 0.05, Table 1); birds caught in winter had significantly lower body temperatures than those caught in spring, summer and autumn (post hoc, p < 0.05).

    Table  1.  Seasonal variations in body mass, body composition and energy budgets in Chinese Bulbuls
    Category Spring Summer Autumn Winter P value
    Sample size (n) 23 23 24 18
    Body masses (g) 30.2±0.4b 27.9±0.4a 27.47±0.8a 30.8±0.5b < 0.001
    Body temperature (℃) 41.3±0.1b 41.3±0.2b 41.6±0.6b 40.8±0.2a < 0.05
    Carcass wet mass (g) 18.36±0.50b 16.55±0.33a 18.42±0.66b 22.04±0.35c < 0.001
    Carcass dry mass (g) 5.72±0.15b 4.81±0.14a 5.65±0.21b 6.89±0.18c < 0.001
    Body fat mass (g) 1.77±0.08ab 1.58±0.08a 1.91±0.08b 2.23±0.09c < 0.001
    Body fat content (%) 6.12±0.31ab 5.46±0.30a 6.66±0.01b 7.61±0.32c < 0.001
    Body water content (%) 76.26±0.77 78.42±0.77 77.53±0.77 76.54±0.89 > 0.05
    GEI (kj/day) 183.93±12.83b 139.19±8.13a 151.72±11.00a 226.51±13.35c < 0.001
    FE (kJ/day) 92.47±8.74bc 60.48±4.58a 74.78±6.58ab 108.80±8.67c < 0.001
    DEI (kJ/day) 91.46±8.36a 78.71±5.28a 76.94±6.71a 117.70±8.79b < 0.01
    Digestibility (9%) 50.49±2.86 56.44±2.33 50.74±2.17 52.03±2.63 > 0.05
    Data are presented as mean±SE, bold indicated statistical differences. The different superscripts in the same row indicate significant differences.
     | Show Table
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    Body fat content showed significant seasonal variation (ANCOVA, F3, 83=11.015, p < 0.001; Table 1) and was markedly higher in autumn and winter than in summer (post hoc, p < 0.05). No significant seasonal variation was found in water content (ANCOVA, F3, 83=1.447, p > 0.05, Table 1).

    Gross energy intake (GEI) varied significantly with season (ANCOVA, F3, 83=8.886, p < 0.001, Table 1). The GEI of bulbuls caught in winter was 23.2% to 63.9% higher than that of birds caught in spring, summer and autumn. Significant seasonal variation was also apparent in fecal energy (FE) (ANCOVA, F3, 83=7.955, p < 0.001, Table 1). The FE of bulbuls caught in winter and spring was significantly higher than that of birds caught in summer and autumn (post hoc, p < 0.05). Digestible energy intake (DEI) also showed significant seasonal variation (ANCOVA, F3, 83=4.090, p < 0.01, Table 1); the DEI of birds caught in winter was 28.4% to 47.2% higher than that of birds caught in spring, summer and autumn. However, no significant seasonal variation was found in digestibility (ANCOVA, F3, 83=1.074, p > 0.05, Table 1). Log body mass was positively correlated with the log of GEI and DEI (Figures 1 and 2).

    Figure 1. Least squares regression of body mass as a dependent variable of GEI with seasonal acclimatization in Chinese Bulbuls.
    Figure  1.  Least squares regression of body mass as a dependent variable of GEI with seasonal acclimatization in Chinese Bulbuls.
    Figure 2. Least square regression of body mass as a dependent variable of DEI with seasonal acclimatization in Chinese Bulbuls.
    Figure  2.  Least square regression of body mass as a dependent variable of DEI with seasonal acclimatization in Chinese Bulbuls.

    The length of the complete digestive tract and small intestines varied significantly with season (ANCOVA, total digestive tract, F3, 83=9.464, p < 0.001; small intestines, F3, 83=7.555, p < 0.001, Table 2), being longer in birds caught in winter than in birds caught in spring, summer and autumn (post hoc, p < 0.05). The log of digestive tract length is positively correlated with log body mass (r2=0.198, p < 0.001, Figure 3a), GEI (r2=0.095, p < 0.01, Figure 4a) and DEI (r2=0.071, p < 0.05, Figure 5a). No significant seasonal variation was apparent in gizzard or rectum length (ANCOVA, gizzard, F3, 83=1.353, p > 0.05; rectum, F3, 83=0.984, p > 0.05, Table 2).

    Table  2.  Seasonal variations in digestive tract morphology in Chinese Bulbuls
    Category Spring Summer Autumn Winter p value
    Sample size (n) 23 23 24 18
    Digestive tract length (mm)
    Gizzard 14.6±0.5b 13.6±0.5b 13.7±0.5b 14.8±0.6a > 0.05
    Small intestines 120.6±2.0b 115.0±2.0a 115.9+2.0a 128.6±2.3c < 0.001
    Rectum 12.1±0.5 12.3+0.5 12.9+0.5 13.2+0.5 > 0.05
    Total digestive tract 147.4+2.0b 140.9±2.0a 142.4±2.0ab 156.7+2.3c < 0.001
    Digestive tract wet mass (mg)
    Gizzard 626.1+17.3c 547.5+17.2b 488.4+17.3a 545.9+19.9b < 0.001
    Small intestine 1681.1±69.1a 1605.3±68.5a 1643.6±68.9a 2115.2±79.9b < 0.001
    Rectum 145.7±10.0a 141.8+9.9a 176.7±10.0b 138.6±11.5a < 0.05
    Total digestive tract 2452.9±77.8a 2294.6±77.1a 2308.8+77.5a 2799.7±89.6b < 0.001
    Digestive tract dry mass (mg)
    Gizzard 183.8±6.1b 156.3±6.1a 153.7+6.1a 166.3+7.1b < 0.01
    Small intestines 303.3±13.1a 287.6±12.9a 352.5±13.0b 413.4±15.0a < 0.001
    Rectum 24.2+1.2b 20.3+1.2a 25.5±1.2b 26.0±1.4b < 0.01
    Total digestive tract 511.4±15.8b 464.2±15.6a 531.8+15.7b 605.7±15.0c < 0.001
    Data are presented as mean ±SE, bold indicated statistical differences. The different superscripts in the same row indicate significant differences.
     | Show Table
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    Figure 3. Least squares regression of digestive tract length, wet mass and dry mass, as dependent variables of body mass, with seasonal acclimatization in Chinese Bulbuls.
    Figure  3.  Least squares regression of digestive tract length, wet mass and dry mass, as dependent variables of body mass, with seasonal acclimatization in Chinese Bulbuls.
    Figure 4. Least squares regression of digestive tract length, wet mass and dry mass, as dependent variables of GEI, with seasonal acclimatization in Chinese Bulbuls.
    Figure  4.  Least squares regression of digestive tract length, wet mass and dry mass, as dependent variables of GEI, with seasonal acclimatization in Chinese Bulbuls.
    Figure 5. Least squares regression of digestive tract length, wet mass and dry mass, as dependent variables of DEI, with seasonal acclimatization in Chinese Bulbuls.
    Figure  5.  Least squares regression of digestive tract length, wet mass and dry mass, as dependent variables of DEI, with seasonal acclimatization in Chinese Bulbuls.

    Significant seasonal variation was apparent in both the wet and dry mass of the complete digestive tract (ANCOVA, wet mass, F3, 83=6.805, p < 0.001; dry mass, F3, 83=11.850, p < 0.001, Table 2); birds caught in winter had a heavier digestive tract than those caught in spring, summer and autumn (post hoc, p < 0.05). The log of wet and dry digestive tract mass was positively correlated with log body mass (wet mass, r2=0.135, p < 0.001; dry mass, r2=0.420, p < 0.001, Figure 3b and c), GEI (wet mass, r2=0.094, p < 0.01; dry mass, r2=0.153, p < 0.001, Figure 4b and c) and DEI (wet mass, r2=0.063, p < 0.05; dry mass, r2=0.047, p < 0.05, Figure 5b and c). Wet and dry gizzard mass were significantly (wet mass: ANCOVA, F3, 83=10.212, p < 0.001; dry mass: ANCOVA, F3, 83=4.523, p < 0.01, Table 2) higher in spring than in summer and autumn (post hoc, p < 0.05). The wet and dry mass of the small intestines also varied significantly with season (wet mass: ANCOVA, F3, 83=9.195, p < 0.001; dry mass: ANCOVA, F3, 83=16.856, p < 0.001, Table 2). The wet mass of the small intestines of birds caught in winter was 20.5% to 26.0% higher than those of their spring, summer and autumn counterparts, whereas the dry mass was 26.6% to 30.4% higher. The wet and dry mass of the rectum also varied significantly with season (wet mass: ANCOVA, F3, 83=2.917, p < 0.05; dry mass: F3, 83=16.856, p < 0.01, Table 2). The wet rectal mass was higher in birds caught in autumn than in those caught in spring, summer and winter (post hoc, p < 0.05), but rectal dry mass was lower in birds caught in summer than in those caught in spring, autumn and winter (post hoc, p < 0.05).

    We found significant seasonal variation in body mass, body fat, GEI, FE and DEI in Chinese Bulbuls, all of which were higher in winter than in other seasons. Birds caught in winter also had significantly longer and heavier digestive tracts than those caught in other seasons.

    Seasonal changes in body mass, especially in small birds, are considered an adaptive strategy essential for survival (; ). It has been reported that many small birds, such as Common Redpolls (Acanthis flammea) (), American Goldfinches (Carduelis tristis) (), Darkeyed Juncos (Junco hyemalis) (), Chinese Bulbuls (), Eurasian Tree Sparrows (Passer montanus) (), Red-winged Starlings (Onychognathus morio) (), Black-capped Chickadees (Poecile atricapillus) and White-breasted Nuthatchs (Sitta carolinensis) () increase their body mass in winter and spring. In this study, as earlier reported, Chinese Bulbuls increase mass in winter and spring.

    A variety of physiological responses associated with winter acclimatization in small birds have been identified. These include winter fuel storage, increased basal metabolic rates and seasonal changes in lipid and carbohydrate metabolism (). Increased body fat levels are common in many temperate wintering passerines, enabling these birds to meet thermoregulatory demands and provide a nutritional buffer against temporary foraging restrictions caused by inclement weather (; ; ). Similar increases in body fat associated with seasonal acclimatization have been observed in House Finches (Carpodacus mexicanus) (; ), Lesser Scaups (Aythya affinis) (), Dark-eyed Juncos (), Bar-tailed Godwits (Limosa lapponica) ( ), Juniper Titmice (Baeolophus ridgwayi) and Mountain Chickadees (Poecile gambeli) (). The energy sparing hypothesis () states that winter birds would use more of their fat stores overnight than summer birds and lead to a greater need to replenish stores daily than in any other season (especially summer). In support of this hypothesis, we show that winter fattening is characterized by increased body mass in winter acclimatized birds in contrast to summer acclimatized birds.

    It is generally recognized that a positive energy balance is a prerequisite for the accumulation of fat. This positive balance results from an adaptively increased energy income that periodically exceeds energy output as birds establish and replenish their fat reserves (; ; ). An increase in fat reserves can support increased overnight energy expenditures (lower temperatures and longer nights during winter) and supply emergency energy reserves during periods of resource shortage (snowfalls and ice storms) (; ).

    Body mass has been used as an index of the general condition in animals, the assumption being that peak annual mass is associated with peak condition (). Energy intake can compensate for the energy expended in thermogenesis, essential for survival (; ; ). We found that the body mass of Chinese Bulbuls was highest in spring and winter and that this was paralleled by changes in GEI and DEI (Table 1; Figures 1 and 2). Chinese Bulbuls caught in spring and winter showed significantly higher GEI and DEI: both increased with lower ambient temperatures and poor food quality. GEI was 50% and 69% higher in spring and winter than in summer, and DEI was 42% and 91% higher in spring and winter than in summer.

    Many studies have found evidence of significant seasonal effects on daily energy intake within species (; ; ; ; ; ). For example, found that the GEI of English House Sparrows (P. domesticus) was 51% higher in winter than in summer. Similarly, found that Rock Ptarmigans (Lagotus muta) consume twice as much food between February and March as they do in August, while found that the GEI and DEI of Elliot's Pheasants (Syrmaticus ellioti) were respectively 51% and 53% higher in winter than in summer. Similar changes in food intake associated with seasonal acclimatization and migration have been observed in other birds, including Kingfishers (Ceryle alcyon) (), Red Knots (Calidris canutus) and Common Sandpipers (Actitis hypoleucos) (), as well as in small mammals such as Wood Mice (Apodemus sylvaticus) () and Mongolian Gerbils (Meriones unguiculatus) (). This suggests that enhancement of GEI and DEI is a response to higher energy demands for small endotherms in general (; ).

    Seasonal changes in digestive tract morphology have been demonstrated in many birds (; ; ; ). Environmental conditions that cause increased nutritional or energy requirements could be responsible for these observed increases in the size of digestive organs. The digestive modulation model predicts an increase in the size of the intestines (length, circumference and surface area) in response to either increasing or decreasing food quality (; ).

    A question arises about the ecological implications of having a larger gut in winter and autumn. Birds typically consume more food in winter and autumn, which appears to stimulate the enlargement of digestive organs such as the gizzard, small intestines, rectum and the overall digestive tract. Increasing gut size in this way in response to decreasing food quality can yield several benefits. One is that it allows an increase in the mean retention time of the digesta, thereby increasing their digestibility if the ingestion rate is constant, or it allows a constant mean retention time, thereby maintaining digestive efficiency if ingestion increases (; ; ). For example, found that the small intestines of European Starlings (Sturnus vulgaris) were longer in winter when they fed predominantly on seeds and berries than in other seasons. also found that there was a significant relationship between food digestibility and small intestine length in Willow Ptarmigans (L. lagopus), Spruce Grouse (Falcipennis canadensis), Spur-winged Geese (Plectropterus gambensis) and Gadwalls (A. strepera). Our results show that Chinese Bulbuls display marked seasonal changes in the length and mass of their digestive tract. The length of both the complete digestive tract and small intestines were significantly longer in winter than in spring, summer and autumn. The wet and dry mass of both the complete digestive tract and the small intestines were also significantly greater in winter than in other seasons. Seasonal trends in the length and mass of digestive tracts were closely correlated with those in body mass, GEI and DEI (Figures 3, 4, 5). These seasonal differences in the weight of the digestive tract were probably caused by reduced winter food quality and quantity. In winter, bulbuls in Wenzhou mainly feed on plants despite the much colder mean temperature of 8℃ (; ). In bulbuls, as in other small birds, increases in digestive tract capacity, as well as elevated uptake of nutrients by the small intestines, appear to increase the rate of assimilation of nutrients, thereby increasing body mass and improving winter survival ().

    During the winter, birds have a relatively high daily energy expenditure, requiring enlarged abdominal organs for support (; ). Birds consume more food in winter, which apparently stimulates the enlargement of organs such as the liver, intestines and the stomach ().

    In summary, our key findings were: 1) Chinese Bulbuls have higher body mass and body fat in winter. This is consistent with our prediction that marked winter increases in GEI and DEI are aspects of winter acclimatization and that seasonal variation in digestive performance in bulbuls is similar to that observed in other small, temperate bird species. 2) The length and wet and dry mass of the digestive tract of Chinese Bulbuls are higher in winter and have a significantly positive relationship with body masses, GEI and DEI.

    The authors declare that they have no competing interests.

    JL provided the research idea and designed the experiments. MW, YX and FY conducted the experiments and collected the data. MW and LZ finished the data analysis, compiled the results and wrote the first draft of the article. JL and WZ supervised the research and revised the draft. All the authors read and approved the final manuscript.

    We are grateful to Dr David L. Swanson for providing several references. We thank Dr Ron Moorhouse revising the English and providing some suggestions. This study was financially supported by grants from the National Natural Science Foundation of China (No. 31070366 and No. 31470472), the Natural Science Foundation (LY13C030005) in Zhejian Province and the Zhejiang Province 'Xinmiao' Project.

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