Indian Journal of Animal Research

  • Chief EditorK.M.L. Pathak

  • Print ISSN 0367-6722

  • Online ISSN 0976-0555

  • NAAS Rating 6.50

  • SJR 0.263

  • Impact Factor 0.4 (2024)

Frequency :
Monthly (January, February, March, April, May, June, July, August, September, October, November and December)
Indexing Services :
Science Citation Index Expanded, BIOSIS Preview, ISI Citation Index, Biological Abstracts, Scopus, AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus
Indian Journal of Animal Research, volume 56 issue 7 (july 2022) : 790-795

Expression patterns and immunohistochemical analysis of ERK, HRAS and MEK1 proteins during ovarian prehierarchical follicular development in Zi geese (Anser cygnoides)

H. Lu2, C.T. Sello2, C. Liu2, Y. Sui2, C. Xu1, Y. Sun1, J. Liu1, Y. Zhou1, S. Li1, W. Yang1, P. Msuthwana1, J. Hu1, Y. Sun1,*
1Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Xincheng Street, No: 2888. Changchun City, Jilin Agricultural University, Changchun, People’s Republic of China.
2Key Laboratory for Animal Production, Product Quality and Safety of Ministry of Education, China.
Cite article:- Lu H., Sello C.T., Liu C., Sui Y., Xu C., Sun Y., Liu J., Zhou Y., Li S., Yang W., Msuthwana P., Hu J., Sun Y. (2022). Expression patterns and immunohistochemical analysis of ERK, HRAS and MEK1 proteins during ovarian prehierarchical follicular development in Zi geese (Anser cygnoides) . Indian Journal of Animal Research. 56(7): 790-795. doi: 10.18805/ijar.B-1069.
The objective of this study was to investigate the spatiotemporal expression levels and protein localization of extracellular regulated MAP kinase (ERK), HRas proto-oncogene, GTPase (HRAS), and mitogen-activated protein kinase kinase 1 (MEK1) genes in ovarian prehierarchical follicles of geese. The prehierarchical follicles from healthy laying geese (n=6) at the age of 35 to 37 weeks were harvested. The relative expression levels of ERK, HRAS, and MEK1 in various sized prehierarchical follicles were detected by real-time quantitative polymerase chain reaction (RT-qPCR), western blotting, and follicular wall localization was investigated by using immunohistochemistry. The results revealed that the candidate genes were expressed differently at mRNA and protein levels at five stages of prehierarchical follicle development. These results suggest that ERK, HRAS, and MEK1 might be associated to the key biological mechanisms regulating Zi geese folliculogenesis.
Zi geese (Anser cygnoides) are the indigenous light-body goose breed in the northeast of China including Jilin and Heilongjiang provinces characterized by high feed to egg conversion ratio and are excellent layers about 80-100 eggs per bird per annual cycle (Zhang et al., 2013). Poultry single left ovary contains various sized follicles with well-organized developmental hierarchical stages from inactive primordial follicles, prehierarchical growing follicles and well-arranged preovulatory follicular stages (Lovell et al., 2003). Folliculogenesis is a complex sequential process encompassing dynamic morphological and functional changes in the ovarian follicles through endocrine, paracrine/autocrine signaling and intraovarian molecular mechanisms (Hussein, 2005). Mitogen-activated protein kinases (MAPKs) are ubiquitously distributed in all eukaryotic cells and possess a significant role by controlling metabolism, metazoan development, motility, mitosis, differentiation, cell survival and apoptosis (Tepekoy and Akkoyunlu, 2016). Johnson and Woods, (2009) showed that MAPK signaling prevents premature differentiation of the granulosa layer within prehierarchical follicles of laying hens. Additionally, Fan et al., (2009) indicated that Ras/MEK and ERK cascades play a pivotal role in ovarian morphology and physiology to sustain the inter communication to enhance ovarian cells homeostatic balance as well as oocyte maturation in mice. A vast number of researches have elucidated the involvement of MAPK signaling pathways such as Ras/MEK/ERK cascades in various cancer cell types (Hsu et al., 2007; De Luca et al., 2012; Gu et al., 2014; Lin et al., 2014). However, very little is known about the molecular mechanisms of ERK, MEK1 and HRAS protein kinases in regulating ovarian follicular maturation in Zi geese. The aim of the current study was to determine the spatiotemporal expression patterns and localization of ERK, MEK1 and HRAS genes during the development of prehierarchical follicles in Zi geese. This study will provide the initial understanding of Ras/MEK/ERK signaling to ideal processes associated with Zi geese ovarian development and maturity.
Ethical statement
 
The Goose Industry Research and Development Centre of Jilin Agricultural University, enforcing the Regulations for the Administration of Affairs Concerning Experimental Animals, approved all the experimental procedures to ensure animal welfare (Permission number: GR(J)18-011. Date: 22 May 2018).
 
Animals and sample collection
 
Six egg-laying geese (35 to 37 weeks old) were randomly selected from Jilin Agricultural University Goose Farm Research Center. The geese were reared under semi-intensive deep litter system, with ad libitum access to feed and water and exposed to natural photoperiod. The geese were anaesthetized with ether before exsanguination to collect the prehierarchical follicles sampled according to their sizes in diameter and colour as follows; the primary follicles (PF, < 1 mm), small white follicles (SWF, 1 to 4 mm), middle white follicles (MWF, 4 to 6 mm), large white follicles (LWF, 6 to 10 mm) and small yellow follicles (SYF, 10 to 15 mm). The vascular membranes of the outermost layer of the follicles were stripped and ruptured to remove the follicular liquid and the oocyte, thoroughly rinsed with Phosphate-buffered saline (PBS) buffer and then immediately liquid nitrogen and stored in -80°C refrigerator for experimental analysis. Other intact samples of prehierarchical follicles were immediately fixed in 4% neutral buffered formalin at 4°C and then transferred to 70% ethanol for subsequent embedding into paraffin wax.
 
Total RNA extraction and complementary DNA (cDNA) synthesis
 
Total RNA was extracted from the geese prehierarchical follicles using the Trizol reagent method according to the manufacture’s protocol (Invitrogen, USA). The total RNA for each sample was treated with DNAse 1 (Ambion/Life Technologies) to genomic DNA contamination. The RNA quality and concentration were assessed with Agilent 2100 Bio analyser (Agilent Technologies, USA); the purity and degradations were also assessed on 1.2% agarose gels before proceeding to the next experimental procedures. The first strand cDNA was synthesized using a cDNA synthesis Kit (TOYOBO, Japan) according to the operation procedures in the instruction manual.  Concisely, the reverse transcription reaction consisted of 2 µg total RNA, 4 µL of 5XRT buffer, 1 µL of RT Enzyme Mix, 1 µL of Primer Mix and finally Nuclease-Free Water added to a total volume of 20 µL; the reaction conditions of the reverse transcription reaction were 37°C, 15 min and the enzyme deactivation was 98°C, 5 min. The final products were kept at 4°C for daily experimental usage and at -20°C for longer storage.
 
Quantitative real-time PCR
 
The Bio-Rad CFX Real-time PCR Detection System and software (BIO-RAD, California, USA) was used to assess the mRNA quantitative expression of the target genes (ERK, MEK1 and HRAS) in prehierarchical follicles and specific sets of primer pairs were designed using the Primer Premier 5.0 program (Primer-E Ltd., Plymouth, UK) (Table 1).The PCR reaction (20 μl) consisted of 2 μl of cDNA, 0.6 µl of each of the forward and reverse primers (10 μmol), 0.4 µl of ROX Reference Dye, 10 μl of SYBR Green Master Mix and 6.4 µl of nuclease-free water. Amplification conditions were as follows: pre-denaturation at 95°C for 5 min, 45 cycles of amplification (95°C for 15 s and 59°C for 60 s). A melt curve analysis was performed from 60°C to 95°C by taking readings every 0.3°C. The relative quantification of gene expression was detected in triplicate per sample. Gene expression levels were calculated by the 2-ΔΔCT method using β-actin as an internal control.
 

Table 1: Target genes primers sequence.




Western blot analysis
 
The prehierarchical follicles sample tissues were homogenized in RIPA buffer (10 μl of phosphatase inhibitor, 1 μl of protease inhibitor and 5 μl of 100 mM PMSF per 1 mL) followed by centrifugation at 14 000 rpm, at 4°C for 15 min and the supernatant was separated into a whole protein extract. The concentration of protein samples was determined by using the BCA protein content detection kit (Biotechnology Development, Kaiji, Nanjing, China). For every sample, 10 μg total protein was pipetted onto a 12% SDS-PAGE Gel Electrophoresis Kit (Biotechnology Development, Kaiji, Nanjing, China) initially set at 60 V and the voltage was increased to 90 V for 90 min when the protein samples enter the separation gel. The electro blotting was carried out in a transfer liquid at 200 mA for 60-120 min. The membranes were incubated in 5% dry milk (EASYBIO, Inc. Beijing, China. Cat# No.BE6250) for 1.5 to 2 h at 25°C room temperature and after wards the membranes were washed with Tris- buffered saline/Tween 20 (TBST) 3 times for 5 min then incubated overnight at 4°C immersed with the following primary antibody: an anti-ERK antibody, an anti-HRAS and an anti-MEK1 (LifeSpan BioSciences, Inc. Shanghai, China). Finally, the membranes were rinsed with 1×PBST (phosphate-buffered saline with 0.1% Tween-20), then incubated with an HRP Affinipure conjugated goat anti-mouse IgG (H+L) secondary antibody (Wuhan, Hubei, China) for 1 h at room temperature. The membranes were washed three times with 1×PBST at room temperature for a total of 15 min. The membranes were visualized with an ECL Test Kit (Millopore WBKLS0100, Germany). The chemiluminescence of each protein band was quantified using the ImageJ software and protein levels were normalized by β-actin as internal control.

Immunohistochemistry
 
The prehierarchical follicles were fixed for 48 h with 4% paraformaldehyde in PBS, pH 7.4, at 4°C. The follicles were then cut and immersed in different concentrations of ethanol (75%, 85%, 90% and 95%) and immersed in 100% xylene twice for 10 min each time. The treated samples were embedded in paraffin wax and then the tissues were sliced at 5μm thickness. The sliced tissues were stretched and baked at 65°C for 3 h and finally soaked twice in xylenes. The treated tissue sections were washed 3 times with PBS solution for 5 min each time. The slides were then subjected to antigen repair by heating in citrate buffer solution (pH 6) two times for 15 min. Tissue sections were washed 3 times with PBS solution for 5 min each time. Following deparaffinization, rehydration and enzyme digestion, slides were blocked with 3% goat serum at room temperature for 20 min then incubated with 50 μl of the target gene primary antibody at 4°C overnight, and the sections subjected to the incubation were rewarmed for 45 min. The slides were washed 3 times in PBS for 2 min each time and then incubated at room temperature for 60 min with 20 μl secondary antibody. After the incubation with the secondary antibody, the tissues were washed 3 times with PBS solution for 5 min each time followed by DAB staining (5 to 10 min). The stained sections were then rinsed with tap water for 10 min and then counterstained with hematoxylin for 2 min. Then, the sections were decolourized in 1% hydrochloric acid-ethanol for 10 to 15 s, quickly taken out and placed in distilled water and then placed in PBST about pH 7.4 for 5 to 10 min. The stained sections were rinsed with tap water for 15 min, then dehydrated and translucent using different concentrations of ethanol and xylene. The film was then sealed with a neutral resin. The slides were examined with a BX53 electric fluorescent illuminator microscope (Olympus, Tokyo).

Statistical analysis
 
The relative expression levels of target genes in different grades of prehierarchical follicles were analyzed by SPSS23.0 statistical software. Single factor analysis of variance (One-way ANOVA) was used among groups and least square significant difference (LSD) test was used to compare the means. The significant difference of the data was considered as p<0.05.
mRNA expression levels of ERK, HRAS and MEK1 genes in the prehierarchical follicles
 
As illustrated in (Fig 1), the RT-qPCR method was used to determine the differential expression levels of ERK, HRAS, and MEK1 in five stages of prehierarchical follicles in geese. All the candidate genes had varying expression patterns during the prehierarchical follicular development. The ERK mRNA transcripts were predominantly expressed in PF. However, ERK exhibited no significant difference between the SYF, MWF and LWF (p>0.05). These results indicate that ERK may play a significant role during the initial stage of prehierarchical follicle establishment. Lee et al., (2017) found that ERK was highly expressed in oviduct cells and cumulus cells of canine during the estrus stage. HRAS showed a significant noticeable trend of expression levels by decreasing exponentially from PF to SYF (p<0.05), which suggest that HRAS may have dynamic functional activities during the prehierarchical follicle development. Previous studies reported the spatial and temporal HRAS mRNA transcripts during mice development expressed in a stage development and tissue specific manner with the highest expression in the adult brain (Newlaczyl et al., 2017). Moreover, higher expression of MEK1 was observed in SWF suggesting that MEK1 may have an active role by either suppressing or promoting the development of prehierarchical follicle. Studies have been conducted on various types of disease conditions in which the highest MEK1 mRNAs were detected in cancer cells (Gong et al., 2015). Interestingly, undetectable mRNA quantities of ERK and MEK1 were observed in SYF and MWF respectively. These results may be associated with the restricted contributory effect of ERK and MEK1 at these stages of prehierarchical follicular growth and maturation.

Fig 1: Comparative mRNA expression levels of ERK, HRAS and MEK1 in prehierarchical follicles of geese. The data are represented as means±SEM; n=6 geese and the different letters indicate the significant difference of mRNA expression between different sizes of prehierarchical follicles (p<0.05) reported in arbitrary units (AU) normalised with â-actin. The vertical ordinate represents relative mRNA expression level of each target gene. The horizontal ordinate indicates the sampled follicle sizes.


 
Expression levels of ERK, HRAS and MEK1 proteins in prehierarchical follicle
 
This study explored the protein expression levels of the three selected genes in the prehierarchical follicles using western blot. The results showed that all the target genes were ubiquitously expressed in all the follicle tissue samples as shown in (Fig 2).The expression of ERK was predominant in both PF and SWF with the least expression in SYF (P<0.05). The highest protein expression in HRAS was detected in SWF (p<0.05) and had the lowest expression in LWF. Additionally, the expression of MEK1 was highest in PF, followed by LWF, SYF, SWF and MWF. Herein, the data demonstrated that the ERK/HRAS/MEK1 proteins might be required in a context-dependent manner to maintain the prehierarchical biological development processes before transiting into hierarchical maturity stage, but the potential roles of this differential expression remain unknown. To support our contention on the expression pattern discrepancy of our target proteins, the highest expression of ERK proteins was found in rats’ kidneys during development than their adult counterparts (Omori et al., 2000). Liang et al., (2005) found that MEK1 proteins level increased in metastatic lymph nodes more than adjacent normal mucosa lymph nodes. Park et al., (2016) found that HRAS protein levels were significantly increased in the neural stem cells during mouse brain development.

Fig 2: Western blot analysis of ERK, HRAS and MEK1 proteins. The upper three panels show the measurable quantities of protein bands in each stage of development. The lower panel indicates the β-actin as an internal control in all samples. Each sample is shown as mean±SEM of the ratio of the relative density of ERK, HRAS and MEK1 to â-actin. The different superscripts indicate statistically significant differences (p<0.05).


 
Immunolocalization of ERK, HRAS and MEK1 proteins in prehierarchical follicles
 
The paracrine communications between the granulosa cells and the adjacent theca cells are critical in regulating survival and fate of ovarian follicles, more precisely the prehierarchical follicles that are known to be susceptible to undergoing atresia (Johnson 2003). This study reported for the first time the localization of goose ERK, HRAS and MEK1 protein kinases in the ovarian follicular walls during the prehierarchical follicular growth and development using immunohistochemical staining procedure as shown in (Fig 3).It was found that ERK proteins were predominantly expressed in the granulosa cells of MWF and LWF. Constant weak expression of ERK protein was observed in PF and SWF theca and granulosa cells. Chen et al., (2014) found that ERK was mainly localized in the cytoplasm of epithelial cells in the renal tubules of Cyprinus carpio. The strong immunostaining signal of HRAS was comparatively detected in MWF and less intensive in SYF. Vairaktaris et al., (2008) detected the highest expression levels of HRAS proteins in normal oral mucosa and precancerous lesions, compared to well-differentiated carcinomas. The MEK staining was most profound in PF and LWF followed by MWF, SWF and less immunoreaction in small SYF. Bi et al., (2017) found the highest expression of MEK1 in gastric tissues in rats with spleen deficiency syndrome treated with herbal cake-partitioned moxibustion. The immunohistochemical analysis results suggest the efficient biological participation of ERK, HRAS and MEK1 proteins during the growth and development of the undifferentiated granulosa and the theca cell layers.

Fig 3: Localization of ERK, HRAS and MEK1 in geese prehierarchical follicles. Positive staining (brown colour) was observed in the granulosa cell (GC) and theca cells (TC). Illustrative micrographs of sections through five different stages of ovarian prehierarchical follicles development at five stages and incubated with ERK, HRAS and MEK1 antibodies (A-E) respectively. Panel A represents primary follicle (PF), Panel B represents small white follicles (SWF), Panel C represents middle white follicles (MWF), Panel D represents large white follicles (LWF) and Panel E represents small yellow follicles (SYF). Representative negative control incubated with PBS instead of ERK, HRAS and MEK1 antibodies respectively (F). Scale bars: Scale bar: ERK=200 ìm, HRAS=400 ìm (A, B, D and F), 100 ìm (C, E) and MEK1=200 ìm (A, B, D and E), 100 ìm (C, F).



In this study, quantitative expression and the localization of ERK, HRAS and MEK1 genes at mRNA and protein levels were conducted using RT-qPCR, western blot and immunohistochemistry respectively in different stages of geese ovarian prehierarchical follicles. At mRNA level, all the target genes showed inconsistent expression pattern in all prehierarchical follicles stages with the least expression level small yellow follicles (ERK and HRAS) and middle white follicles for MEK1. The relative high expression levels of these genes were observed at initial stage of prehierarchical follicular development with greater expression in PF for both ERK and HRAS followed by SWF for MEK1. These findings suggest that ERK, HRAS, MEK1 might have a less functional biogenetic effects towards the recruitment of the prehierarchical follicles into hierarchical stages. At protein level, the expression of the candidate genes unveiled different expression patterns from mRNA level tendencies. ERK showed a significant coexpression level between PF and SWF and HRAS proteins were more predominant in SWF whereas MEK1 was also highly expressed in PF. This may be due to multiple importance processes beyond transcript concentration that contribute to establishing the expression level of a proteins such as translation rates and modulation of a protein’s half-life (Liu et al., 2016). Immunostaining revealed the positive detection of the three proteins of interest in both theca cells and the granulosa cells in the five stages prehierarchical follicles. The results of this current study imply that ERK, HRAS and MEK1 might be involved in differentiation and proliferation of prehierachical follicular walls. Taken together these results showed that all the target genes were differentially expressed at mRNA and protein level during the geese prehierarchical ovarian follicles growth and maturation.
This study established that the presence of ERK, HRAS, and MEK1 during the growth and development of prehierarchical follicles maybe regulated in a stage-dependent manner. However, further studies on molecular interactions and functional roles of these protein kinases in ovarian follicular cell fate or survival need to be elucidated.

  1. Bi, D.Y., Liu, Q., Zhan, Y., Li, D., Zou, Y.F., Ma, M.Z., Chang, X.R. (2017). Effect of herbal cake- partitioned moxibustion on MEK1/2 and ERK1/2 expressions of gastric tissues in rats with spleen deficiency syndrome. J. Acupunct. Tuina Sci., 15: 305-310.

  2. Chen, J., Cao, J., Luo, Y., Xie, L., Song, J., Xue, W., Song, J. (2014). Expression of ERK and p-ERK proteins of ERK signaling pathway in the kidneys of fluoride-exposed carp (Cyprinus carpio). Acta Histochem., 116: 1337-1341. 

  3. De Luca, A., Maiello, M.R., D’Alessio, A., Pergameno, M., Normanno, N. (2012). The RAS/RAF/MEK/ERK and the PI3K/AKT signalling pathways: role in cancer pathogenesis and implications for therapeutic approaches. Expert Opin Ther Targets., 16: 17-27. 

  4. Fan, H.Y., Liu, Z., Shimada, M., Sterneck, E., Johnson, P.F., Hedrick, S.M., Richards, J.S. (2009). MAPK3/1 (ERK1/2) in ovarian granulosa cells are essential for female fertility. Science, 324: 938-941. 

  5. Gong, R., Sun, D., Zhong, X., Sun, Y., Li, L. (2015). MEK1 expression and its relationship with clinical pathological features in hepatocellular carcinoma. Int. J. Clin. Exp. Med., 8: 4087-4093. 

  6. Gu, J., Han, T., Ma, R.H., Zhu, Y.L., Jia, Y.N., Du, J.J., Guo, X. (2014). SHP2 promotes laryngeal cancer growth through the Ras/Raf/Mek/Erk pathway and serves as a prognostic indicator for laryngeal cancer. Int. J. Oncol., 44: 481-490. 

  7. Hsu, Y.F., Lee, T.S., Lin, S.Y., Hsu, S.P., Juan, S.H., Hsu, Y.H., Lee, W.S. (2007). Involvement of Ras/Raf-1/ERK actions in the magnolol-induced upregulation of p21 and cell-cycle arrest in colon cancer cells. Mol. Carcinogen., 46: 275-283. 

  8. Hussein, M.R. (2005). Apoptosis in the ovary: molecular mechanisms. Hum. Reprod. Update., 11: 162-177. 

  9. Johnson, A.L. (2003). Intracellular mechanisms regulating cell survival in ovarian follicles. Anim. Reprod Sci., 78: 185-201.

  10. Johnson, A.L. and Woods, D.C. (2009). Dynamics of avian ovarian follicle development: cellular mechanisms of granulosa cell differentiation. Gen. Com. Endocrinol., 163: 12-17. 

  11. Lee, S.H., Oh, H.J., Kim, M.J., Kim, G.A., Choi, Y.B., Jo, Y.K., Lee, B.C. (2017). Oocyte maturation-related gene expression in the canine oviduct, cumulus cells, and oocytes and effect of co-culture with oviduct cells on in vitro maturation of oocytes. J. Assist. Reprod. Genet., 34: 929-938. 

  12. Liang, B., Wang, S., Zhu, X.G., Yu, Y.X., Cui, Z.R.,Yu, Y.Z. (2005). Increased expression of mitogen-activated protein kinase and its upstream regulating signal in human gastric cancer. World J. Gastroenterol., 11: 623-628. 

  13. Lin, Z., Zhang, C., Zhang, M., Xu, D., Fang, Y., Zhou, Z., Zhang, X. (2014). Targeting cadherin-17 inactivates Ras/Raf/MEK/ERK signaling and inhibits cell proliferation in gastric cancer. PloS one, 9: e85296. 

  14. Liu, Y., Beyer, A., Aebersold, R. (2016). On the dependency of cellular protein levels on mRNA abundance. Cell, 165: 535-550.

  15. Lovell, T.M., Gladwell, R.T., Groome, N.P., Knight, P.G. (2003) Ovarian follicle development in the laying hen is accompanied by divergent changes in inhibin A, inhibin B, activin A and follistatin production in granulosa and theca layers. J. Endocrinol., 177: 45-55.

  16. Newlaczyl, A.U., Coulson, J.M., Prior, I.A. (2017). Quantification of spatiotemporal patterns of Ras isoform expression during development. Sci. Rep., 7: 41297. 

  17. Omori, S., Hida, M., Ishikura, K., Kuramochi, S., Awazu, M. (2000). Expression of mitogen-activated protein kinase family in rat renal development. Kidney Int., 58: 27-37. 

  18. Park, J.C., Jeong, W.J., Kim, M.Y., Min, D., Choi, K.Y. (2016). Retinoic acid-mediated hras stabilization induces neuronal differentiation of neural stem cells during brain development. J. Cell Sci., 129: 2995-3007.

  19. Tepekoy, F. and Akkoyunlu, G. (2016). The effect of FSH and activin A on Akt and MAPK1/3 phosphorylation in cultured bovine ovarian cortical strips. J. Ovarian Res., 9: 13. 

  20. Vairaktaris, E., Papakosta, V., Derka, S., Vassiliou, S., Nkenke, E., Spyridonidou, S., Moulavassili, P. (2008). H-ras and c-fos exhibit similar expression patterns during most stages of oral oncogenesis. Vivo, 22: 621-628. 

  21. Zhang, X., Kang, B., Zhang, L.N., Guo, J.R., Jiang, D.M., Ji, H., Zhen, L., Yang, H.M. (2013). Gene expression profiles of LH, prolactin and their receptors in female Zi geese (Anser cygnoides) during development. Folia Biol., 61: 59-64. 

Editorial Board

View all (0)