Scientia Agricultura Sinica ›› 2019, Vol. 52 ›› Issue (16): 2880-2890.doi: 10.3864/j.issn.0578-1752.2019.16.013

• ANIMAL SCIENCE·VETERINARY SCIENCE·RESOURCE INSECT • Previous Articles     Next Articles

The Variation/Heteroplasmy of Chicken Mitochondrial ND1 Gene and Its Association with Traits

XU YuanYuan1,HOU LingLing2,JI JieFei1,WANG HuanJie1,LI SiLu1,CHEN Wen1,KANG XiangTao1,HUANG YanQun1()   

  1. 1 College of Livestock Husbandry and Veterinary Engineering, Henan Agricultural University, Zhengzhou 450002
    2 Xuchang Animal Husbandry Bureau (Municipal Animal Health Inspection Institute) , Xuchang 461099, Henan
  • Received:2018-09-18 Accepted:2019-07-03 Online:2019-08-16 Published:2019-08-21
  • Contact: YanQun HUANG E-mail:hyanqun@aliyun.com

RichHTML

30

PDF

869

Abstract:

【Objective】 The purpose of this study was to investigate the heteroplasmy of mitochondrial ND1 gene in chickens and to study the distribution of mitochondrial heteroplasmy among different breeds and Gushi chicken resource population, and furthermore, to analysis the effects of mitochondrial heteroplasmy on valuable economic traits. 【Method】 DNA extracted from blood samples of eight chicken breeds including Gushi chicken, Arbor Acres broiler chicken, Henan Cockfighting chicken, Lushi chicken, White Leghorn chicken, White Plymouth Rock chicken, Silkie chicken and Tibetan chicken, were used to study the distribution of mt.A4589G mutation/ heteroplasmy in natural populations by PCR-RFLP. In addition, DNA extracted from blood samples of Gushi chicken resource population constructed previously were used to study the distribution of mt.A4589G mutation/ heteroplasmy in Gushi chicken resource population by PCR-RFLP and to study the association analysis between mt.A4589G mutation/ heteroplasmy and F2 traits of Gushi chicken resource population, including carcass traits, growth traits, meat quality indicators and blood biochemical indicators, thereby grasping the heteroplasmy of chicken mitochondrial ND1 gene and its potential effects; 【Result】1) Among eight breeds, one synonymous mutation mt.A4589G was detected from the full length of mitochondrial ND1 gene, and its distribution showed obvious variety characteristics. The dominant alleles of exotic breeds such as broiler chicken, White Plymouth Rock chicken and White Leghorn chicken were A, while domestic local breeds such as Silky chicken, Henan Cockfighting chicken and Lushi chicken were G. (2) The heteroplasmy of mt.A4589G in different breeds and Gushi chicken resource population was detected by PCR-RFLP. Among eight breeds, only five AG heterogeneous individuals were detected in Gushi chicken, Henan Cockfighting chicken and broiler chicken. In the Gushi chicken resource population, mt.A4589G had a wider heteroplasmy and the frequencies of heteroplasmy in F0, F1 and F2 generations were 0.81, 0.41 and 0.70, respectively. (3) The correlation analysis between mt.A4589G heteroplasmy and F2 traits of Gushi chicken resource population showed that mt.A4589G heteroplasmy was significantly correlated with abdominal fat, sebum thickness eight-week-old shank length, diameter of leg muscle fiber and glucose levels in the blood (P<0.05). (4) The correlation analysis between the levels of heteroplasmy of mt.A4589G and F2 traits of Gushi chicken resource population indicated that the levels of heteroplasmy was significantly correlated with carcass traits, growth traits and serum biochemical indicators (P<0.05). 【Conclusion】 mt.A4589G is a heteroplasmic variation, and its heteroplasmic distribution exhibits obvious variety characteristics. The mt.A4589G heteroplasmy of the natural population occurs less frequently, while mt.A4589G has a wider heteroplasmy in the Gushi chicken resource population. Furthermore, through the correlation analysis between the heteroplasmy of mt.A4589G and the F2 traits of Gushi chicken resource population, it was found that the mt.A4589G mutation/heterogeneity was significantly correlated with the abdominal fat and the glucose level in the blood (P<0.05).

Key words: chicken, ND1 gene, PCR-RFLP, heteroplasmy, association analysis

Table 1

The primers used in the research"

引物名称
Primer name		 引物序列（5′-3′）
Primer sequence(5′-3′)		 长度
Length（bp）		 退火温度
Tm（℃）		 所用内切酶
Endonuclease
ND1-1 F:ATGACCCTGCCCACCCTAA
R:TTTTGTTCAGGCACGCTTCC		 995 57 --
ND1-2 F:TAGCCATCATCCTGTTATCC
R:GAGGGTTTTTGTAGCGAGTG		 356 55 Bsp1286I

Fig. 1

Gel electrophoresis results of PCR amplification products of primer ND1-1"

Fig. 2

The sequencing results of mt.ND1 gene (DNA mixed pool as a template)"

Fig. 3

Electrophoresis analysis of ND1-2 PCR products"

Table 2

Distribution of mitochondrial mt.A4589G variation/heteroplasmy in eight breeds of chicken"

基因型
Genotype		 频率Frequency 品种（样本数）Breed 1)（sample number）
GS (10) BC (12) HC (8) LS (10) WL (10) WP (10) SK (10) TB (10)
AA 0.375 0.0（0） 0.75（9） 0.0（0） 0.1（1） 0.7（7） 1.0（10） 0.0（0） 0.3（3）
AG 2) 0.063 0.2（2） 0.08（1） 0.25（2） 0.0（0） 0.0（0） 0.0（0） 0.0（0） 0.0（0）
GG 0.562 0.8（8） 0.17（2） 0.75（6） 0.9（9） 0.3（3） 0.0（0） 1.0（10） 0.7（7）

Fig. 4

PCR-RFLP detection of mt.A4589G variation"

Fig. 5

Validation of 5 heteroplasmic individuals detected by PCR-RFLP using Sanger sequencing 1) Left is the breeds and heteroplasmic level of the five heterogeneous individuals detected by the PCR-RFLP method, and right is the Sanger sequencing peak map corresponding samples (GS1, GS2 - Gushi chicken, BC1 - Broiler chicken, HC1, HC2 - Henan Cockfighting chicken). 2) The red arrow is the mt.A4589G site"

Table 3

The distribution of mt.A4589G variation in Gushi chicken resource population"

基因型
Genotype		 F0 F1 F2 总分布 Total
样本数
No.		 频率
Frequency		 样本数
No.		 频率
Frequency		 样本数
No.		 频率
Frequency		 样本数
No.		 频率
Frequency
AA 6 0.19 9 0.16 66 0.09 81 0.09
AG 25 0.81 23 0.41 540 0.70 588 0.69
GG 0 0.00 24 0. 43 165 0.21 189 0.22

Table 4

Correlation analysis between mt.A4589G variation/heteroplasmy and traits of Gushi chicken F2 generation resource group (families containing AA and AG genotypes)"

性状Traits AA型 AA genotype（n=63） AG型 AG genotype（n=69） P值P-value
出生重 BW(g) 29.495±0.200 30.180±0.194 0.0232
腿肌纤维直径 FDL (cm) 37.831±0.925 35.047±0.827 0.0388
8周胸深 CD8(cm) 6.251±0.109 6.644±0.105 0.0159
8周胸骨长 BBL8(cm) 8.718±0.079 8.983±0.077 0.0259
8周胫长 SL8(cm) 7.749±0.078 8.012±0.077 0.0266
8周胫围 SG8(cm) 3.347±0.027 3.421±0.025 0.0644
胸肌pH BpH 6.189±0.038 6.080±0.036 0.0553
盲肠长度 CL(cm) 16.453±0.262 15.689±0.256 0.0538
肌胃重率 GR(%) 2.149±0.036 2.052±0.035 0.0685

Table 5

Correlation analysis between mt.A4589G variation/heteroplasmy and traits of Gushi chicken F2 generation resource group (families containing GG and AG genotypes)"

性状 Traits AG型 AG genotype (n=488) GG型 GG genotype (n=158) P值 P-value
腹脂 AF(g) 8.618±0.498 6.310±0.924 0.0292
腹脂率 AFR(%) 0.936±0.051 0.692±0.096 0.0264
皮下脂肪厚度 SFT(cm) 0.452±0.007 0.486±0.014 0.0339
葡萄糖 GLU(mmol·L-1) 8.617±0.164 9.471±0.319 0.0191
乳酸脱氢酶 LDH(U·L-1) 2811.195±21.164 2707.856±41.082 0.0277
盲肠长度 CL(cm) 16.125±0.117 15.619±0.218 0.0427

Table 6

Correlation analysis between different grades of the proportion of mt.4589A in mt.A4589G and traits of Gushi chicken F2 generation resource population"

性状
Traits		 1 级=0%
(n=165)		 0%<2级≤15%
(n=226)		 15%<3级≤45%
(n=247)		 45%<4级<100%
(n=67)		 5级=100%
(n=66)		 P值P-value
腹脂重Abdominal fat (g) 5.968±0.929A 8.857±0.768 7.313±0.720a 12.004±1.392Bb 9.448±1.897 0.0048
腹脂率Abdominal fat rate(%) 0.668±0.096A 0.958±0.080 0.811±0.075a 1.284±0.145Bb 1.055±0.197 0.0067
腿肌率Leg muscle rate(%) 32.569±0.143 32.587±0.118a 32.117±0.110b 32.506±0.213 32.087±0.296 0.0157
脾重Spleen weight (g) 2.823±0.088a 2.874±0.073 2.948±0.068 3.294±0.132b 3.056±0.180 0.0661
脾率Spleen rate(%) 0.212±0.006 0.214±0.005 0.220±0.005 0.244±0.010 0.234±0.013 0.0717
肌胃率Masticatory stomach rate (%) 2.056±0.023 2.063±0.019 2.075±0.018 2.030±0.035 2.181±0.047 0.0984
盲肠长度Cecal length(cm) 15.508±0.212 16.196±0.176 15.884±0.164 15.980±0.322 16.737±0.438 0.0410
屠宰率Slaughter rate(%) 89.586±0.170 89.863±0.142 89.526±0.131 90.184±0.255 90.182±0.343 0.0910
8周胫长8-weeks shank length(cm) 7.830±0.054 7.945±0.045 7.940±0.042 8.076±0.082 7.766±0.110 0.0406
12周胸深12-weeks chest depth(cm) 7.985±0.063 7.913±0.052 7.814±0.049 8.019±0.095 7.743±0.129 0.0680
12周胸角12-week chest angle(°) 78.515±0.340 78.418±0.283 79.275±0.263 79.763±0.512 79.225±0.694 0.0704
葡萄糖GLC(mmol·L-1) 9.472±0.319 8.576±0.251 8.911±0.239 7.878±0.458 7.887±0.677 0.0370
淀粉酶Amylase(U·L-1) 410.247±18.096a 405.599±14.427a 423.412±13.735 504.657±25.784b 519.791±40.013 0.0106
乳酸脱氢酶 LDH(U·L-1) 2714.742±40.803 2761.307±32.411 2845.511±30.532 2827.621±58.904 2820.090±85.306 0.0996
[1] GORMAN G S, SCHAEFER A M, NG Y, GOMEZ N, BLAKELY E L, ALSTON C L, FEENEY C, HORVATH R, YU-WAI-MAN P, CHINNERY P F, TAYLOR R W, TURNBULL D M, MCFARLAND R . Prevalence of nuclear and mitochondrial DNA mutations related to adult mitochondrial disease. Annals of Neurology, 2015,77(5):753-759.
[2] BLACKSTONE N W . Book Review: Essential Cell Biology: An introduction to the molecular biology of the cell. Quarterly Review of Biology, 1998,73(4).
[3] CROW M T, MANI K, NAM Y J, KITSIS R N . The mitochondrial death pathway and cardiac myocyte apoptosis. Circulation Research, 2004,95(10):957-970.
[4] TAANMAN J W . The mitochondrial genome: structure, transcription, translation and replication. Biochimica et Biophysica Acta, 1999,1410(2):103-123.
[5] KUKAT C, WURM C A, SPAHR H, FALKENBERG M, LARSSON N G, JAKOBS S . Super-resolution microscopy reveals that mammalian mitochondrial nucleoids have a uniform size and frequently contain a single copy of mtdna. Proceedings of the National Academy of Sciences of the United States of America, 2011,108(33):13534-13539.
[6] YE K, LU J, MA F, KEINAN A, GU Z . Extensive pathogenicity of mitochondrial heteroplasmy in healthy human individuals. Proceedings of the National Academy of Sciences of the United States of America, 2014,111(29):10654-10659.
[7] STEWART J B, CHINNERY P F . The dynamics of mitochondrial DNA heteroplasmy: implications for human health and disease. Nature Reviews Genetics, 2015,16(9):530-542.
[8] YUSNITA Y, NORSIAH M D, RAHMAN A J . Mutations in mitochondrial NADH dehydrogenase subunit 1 (mtnd1) gene in colorectal carcinoma. The Malaysian Journal of Pathology, 2010,32(2):103-110.
[9] GIULIANI C, BARBIERI C, LI M, BUCCI L, MONTI D, PASSARINO G, LUISELLI D, FRANCESCHI C, STONEKING M, GARAGNANI P . Transmission from centenarians to their offspring of mtdna heteroplasmy revealed by ultra-deep sequencing. Aging, 2014,6(6):454-467.
[10] LOUTRE R, HECKEL A M, JEANDARD D, TARASSOV I, ENTELIS N . Anti-replicative recombinant 5S rrna molecules can modulate the mtdna heteroplasmy in a glucose-dependent manner. PLoS One, 2018,13(6):e0199258.
[11] SCHON E A, DIMAURO S, HIRANO M . Human mitochondrial DNA: roles of inherited and somatic mutations. Nature Reviews Genetics, 2012,13(12):878-890.
[12] YU E P, BENNETT M R . Mitochondrial DNA damage and atherosclerosis. Trends in Endocrinology & Metabolism Tem, 2014,25(9):481-487.
[13] DANCAUSE K N, VILAR M G, STEFFY R, LUM J K . Characterizing genetic diversity of contemporary pacific chickens using mitochondrial DNA analyses. PLoS One, 2011,6(2):e16843.
[14] LIU Y P, WU G S, YAO Y G, MIAO Y W, LUIKART G, BAIG M, BEJA-PEREIRA A, DING Z L, PALANICHAMY M G, ZHANG Y P . Multiple maternal origins of chickens: out of the Asian jungles. Molecular Phylogenetics and Evolution, 2006,38(1):12-19.
[15] MWACHARO J M, BJORNSTAD G, MOBEGI V, NOMURA K, HANADA H, AMANO T, JIANLIN H, HANOTTE O . Mitochondrial DNA reveals multiple introductions of domestic chicken in East Africa. Molecular Phylogenetics and Evolution, 2011,58(2):374-382.
[16] REVAY T, BODZSAR N, MOBEGI V E, HANOTTE O, HIDAS A . Origin of Hungarian indigenous chicken breeds inferred from mitochondrial DNA D-loop sequences. Animal Genetics, 2010,41(5):548-550.
[17] KOMIYAMA T, IKEO K, GOJOBORI T . The evolutionary origin of long-crowing chicken: its evolutionary relationship with fighting cocks disclosed by the mtdna sequence analysis. Gene, 2004,333:91-99.
[18] GUAN X, GENG T, SILVA P, SMITH E J . Mitochondrial DNA sequence and haplotype variation analysis in the chicken (Gallus gallus). Journal of Heredity, 2007,98(7):723-726.
[19] LU W W, HOU L L, ZHANG W W, ZHANG P F, CHEN W, KANG X, HUANG Y . Study on heteroplasmic variation and the effect of chicken mitochondrial ND2. Mitochondrial DNA Part A, DNA Mapping, Sequencing, and Analysis, 2016,27(4):2303-2309.
[20] SAMBROOK J, FRITSCH E F, MANIATIS T . Molecular Cloning. A laboratory Manual. Analytical Biochemistry, 2001,186(1):182-183.
[21] PRUETT C L, WINKER K . The effects of sample size on population genetic diversity estimates in song sparrows Melospiza melodia. Journal of Avian Biology, 2008,39(2):252-256.
[22] TRASK J A, MALHI R S, KANTHASWAMY S, JOHNSON J, GARNICA W T, MALLADI V S, SMITH D G . The effect of SNP discovery method and sample size on estimation of population genetic data for Chinese and Indian rhesus macaques (Macaca mulatta). Primates; Journal of Primatology, 2011,52(2):129-138.
[23] IOMMARINI L, GHELLI A, TROPEANO C V, KURELAC I, LEONE G, VIDONI S, LOMBES A, ZEVIANI M, GASPARRE G, PORCELLI A M . Unravelling the effects of the mutation m.3571insc/MT-ND1 on respiratory complexes structural organization. International Journal of Molecular Sciences, 2018,19(3):764-780.
[24] BARADARAN R, BERRISFORD J M, MINHAS G S, SAZANOV L A . Crystal structure of the entire respiratory complex I. Nature, 2013,494(7438):443-448.
[25] ANTONICKA H, OGILVIE I, TAIVASSALO T, ANITORI R P, HALLER R G, VISSING J, KENNAWAY N G, SHOUBRIDGE E A . Identification and characterization of a common set of complex I assembly intermediates in mitochondria from patients with complex I deficiency. The Journal of Biological Chemistry, 2003,278(44):43081-43088.
[26] TURRENS J F . Mitochondrial formation of reactive oxygen species. The Journal of Physiology, 2003,552(2):335-344.
[27] MAGNACCA K N, BROWN M J . Mitochondrial heteroplasmy and DNA barcoding in Hawaiian Hylaeus (Nesoprosopis) bees (Hymenoptera: Colletidae). BMC Evolutionary Biology, 2010,10(1):174.
[28] REINER J E, KISHORE R B, LEVIN B C, ALBANETTI T, BOIRE N, KNIPE A, HELMERSON K, DECKMAN K H . Detection of Heteroplasmic Mitochondrial DNA in Single Mitochondria. PLoS One, 2010,5(12):e14359.
[29] RAMOS A, SANTOS C, MATEIU L, GONZALEZ MDEL M, ALVAREZ L, AZEVEDO L, AMORIM A, ALUJA M P . Frequency and pattern of heteroplasmy in the complete human mitochondrial genome. PLoS One, 2013,8(10):e74636.
[30] WALLACE D C . Mitochondrial DNA mutations in disease and aging. Environmental and Molecular Mutagenesis, 2010,51(5):440-450.
[31] PATANANAN A N, WU T H, CHIOU P Y, TEITELL M A . Modifying the Mitochondrial Genome. Cell Metabolism, 2016,23(5):785-796.
[32] SIMON D K, MAYEUX R, MARDER K, KOWALL N W, BEAL M F, JOHNS D R . Mitochondrial DNA mutations in complex I and trna genes in Parkinson's disease. Neurology, 2000,54(3):703-709.
[33] BROWN M D, ZHADANOV S, ALLEN J C, HOSSEINI S, NEWMAN N J, ATAMONOV V V, MIKHAILOVSKAYA I E, SUKERNIK R I, WALLACE D C . Novel mtdna mutations and oxidative phosphorylation dysfunction in Russian LHON families. Human Genetics, 2001,109(1):33-39.
[34] SUDOYO H, SURYADI H, LERTRIT P, PRAMOONJAGO P, LYRAWATI D, MARZUKI S . Asian-specific mtdna backgrounds associated with the primary G11778A mutation of Leber's hereditary optic neuropathy. Journal of Human Genetics, 2002,47(11):594-604.
[35] HOWELL N, BINDOFF L A, MCCULLOUGH D A, KUBACKA I, POULTON J, MACKEY D, TAYLOR L, TURNBULL D M . Leber hereditary optic neuropathy: Identification of the same mitochondrial NDI mutation in six pedigrees. American Journal of Human Genetics, 1991,49(5):939-950.
[36] ABU-AMERO K K, ALZAHRANI A S, ZOU M, SHI Y . High frequency of somatic mitochondrial DNA mutations in human thyroid carcinomas and complex I respiratory defect in thyroid cancer cell lines. Oncogene, 2005,24(8):1455-1460.
[37] WANG J W, CHEN W, KANG X T, HUANG Y Q, TIAN Y D, WANG Y B . Identification of differentially expressed genes induced by energy restriction using annealing control primer system from the liver and adipose tissues of broilers. Poultry Science, 2012,91(4):972-978.
[38] MERLO PICH M, RAULE N, CATANI L, FAGIOLI M E, FAENZA I, COCCO L, LENAZ G . Increased transcription of mitochondrial genes for Complex I in human platelets during ageing. FEBS Letters, 2004,558(1-3):19-22.
[39] LU W W, HOU L L, ZHANG W W, ZHANG P F, CHEN W, KANG X, HUANG Y . Study on heteroplasmic variation and the effect of chicken mitochondrial ND2. Mitochondrial DNA Part A, DNA Mapping, Sequencing, and Analysis, 2016,27(4):2303-2309.
[1] ZHAO QingYao, WANG XiaoMing, XING Tong, LI LingYun, XU XingLian, ZHAO Xue. Extraction Optimization, Structural Characterization, and Anticoagulant Activity of Intestinal Polysaccharides from Yellow-Feathered Chickens [J]. Scientia Agricultura Sinica, 2026, 59(6): 1317-1332.
[2] YANG LiJuan, CHEN SiYu, ZHAO Wei, ZHU Ling, GUO Lei, MA LiNa, MA RuiMin, ZHANG Juan. Whole-Genome Resequencing Reveals the Genetic Mechanisms Underlying Feather Coloration in Jingyuan Chicken [J]. Scientia Agricultura Sinica, 2026, 59(6): 1348-1360.
[3] WANG ShaoHua, FAN QiuLi, YANG JinChang, SUN YuJie, YU Niu, JIANG ShouQun. Effects of Different Levels of Mytilaria laosensis Leaves Feeding on Growth Performance, Immune Function, Antioxidant Capacity, Carcass Quality and Meat Quality of Yellow-Feathered Chickens [J]. Scientia Agricultura Sinica, 2026, 59(5): 1111-1127.
[4] LI Yun, ZHANG Fan, ZHOU YongQi, QIAO ZhiHao, LIU YanLi. Analysis of Body Size Traits During Growth and Development and Comparison of Meat Quality and Flavor Between 13 and 16 Weeks Lueyang Black-Bone Chickens [J]. Scientia Agricultura Sinica, 2026, 59(2): 427-440.
[5] LI YunLi, DIAO DengChao, LIU YaRui, SUN YuChen, MENG XiangYu, WU ChenFang, WANG Yu, WU JianHui, LI ChunLian, ZENG QingDong, HAN DeJun, ZHENG WeiJun. Genome-Wide Association Study of Heat Tolerance at Seedling Stage in A Wheat Natural Population [J]. Scientia Agricultura Sinica, 2025, 58(9): 1663-1683.
[6] YAO Hong, SHI ShouRong, ZHAO RuQian. The Potential and Mechanism of Chlorogenic Acid to Alleviate Intestinal Inflammation in Chickens Based on Network Pharmacology and Molecular Docking [J]. Scientia Agricultura Sinica, 2025, 58(3): 600-616.
[7] HUANG HuaYun, SUI YuLe, KONG Yi, LIANG Zhong, YANG MiaoMiao, LIU Xing, HAN Wei. Regulatory Effect of FTO Gene on Lipid Deposition in Chicken Intramuscular Adipocytes [J]. Scientia Agricultura Sinica, 2025, 58(22): 4786-4796.
[8] WU ShuYu, HENG YanFang, YU TaiFei, WANG ShiJia, YU SiJia, LI Yuan, HU Zheng, ZHANG Hui, SUN XianJun, LI Liang, JIANG QiYan. Identification of Salt Tolerance in Maize Natural Populations at the Seedling Stage and Analysis of Salt Tolerance-Associated Genes [J]. Scientia Agricultura Sinica, 2025, 58(20): 4085-4099.
[9] JIA YuJing, LI ChaoNan, PAN ZhiXiong, YANG DeLong, MAO XinGuo, JING RuiLian. Cloning and Genetic Effect Analysis of TaTIFY11c-4A in Wheat [J]. Scientia Agricultura Sinica, 2025, 58(17): 3357-3371.
[10] LI XueFeng, WANG Hui, ZHANG NingBo, JIN TaiHua, ZHANG ShuEr, ZHENG QuanSheng, TAO JiaShu, LI QingKe, LÜ ShenJin, LI YongZhu. Prediction and Analysis of Feeding Density on Production Performance, Cecal Flora Diversity, Short-Chain Fatty Acid Content and Microbial Differential Function of Langya Chickens [J]. Scientia Agricultura Sinica, 2025, 58(17): 3544-3560.
[11] HUANG HuaYun, LIU Xing, WANG QianBao, LI RuiRui, YANG MiaoMiao, LI ChunMiao, WU ZhaoLin, KONG LingLin, ZHAO ZhenHua. Expression Pattern of gga-miR-30a-5p and Its Regulation of Abdominal Fat and Intramuscular Fat Deposition in Chicken [J]. Scientia Agricultura Sinica, 2025, 58(15): 3134-3144.
[12] SHI ShunYu, YANG Tao, PANG Bo, LI Jing, LIN YiFeng, WANG ZhengRui, FU LinCheng, ABUDUBEK Zalgamali, GAO WenWei, WU PengHao. Genome-Wide Association Analysis and Prediction of Candidate Genes for Chlorophyll Content in Gossypium barbadense [J]. Scientia Agricultura Sinica, 2025, 58(10): 1878-1895.
[13] ZHANG Ying, SHI TingRui, CAO Rui, PAN WenQiu, SONG WeiNing, WANG Li, NIE XiaoJun. Genome-Wide Association Study of Drought Tolerance at Seedling Stage in ICARDA-Introduced Wheat [J]. Scientia Agricultura Sinica, 2024, 57(9): 1658-1673.
[14] WEI NaiCui, TAO JinBo, YUAN MingYang, ZHANG Yu, KAI MengXiang, QIAO Ling, WU BangBang, HAO YuQiong, ZHENG XingWei, WANG JuanLing, ZHAO JiaJia, ZHENG Jun. Seedling Characterization and Genetic Analysis of Low Phosphorus Tolerance in Shanxi Varieties [J]. Scientia Agricultura Sinica, 2024, 57(5): 831-845.
[15] WANG ChaoHui, ZHANG LiMin, SUN Xi, LI SiJing, YANG XiaoJun, LIU YanLi. The Model Establishment of Lipid Deposition in Primary Chicken Embryo Liver Cells Induced by Oleic Acid [J]. Scientia Agricultura Sinica, 2024, 57(23): 4806-4814.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备09089781号-30
Copyright 2018 © Editorial office of Scientia Agricultura Sinica
Tel: 86-010-82106279    E-mail: zgnykx@mail.caas.net.cn
Supported by Beijing Magtech Co.Ltd