三江黄牛全基因组数据分析

doi:10.3864/j.issn.0578-1752.2017.01.016

Abstract

Abstract: 【Objective】 The objective of this paper is to study the genetic diversity of Sanjiang cattle group and discuss its genetic variation at the genome level.【Method】Fifty individual genomic DNA were extracted and mixed with isocratic and equal volumes, then the DNA pool of the mixed samples were constructed. Genomic DNA was interrupted randomly by using CovarisS2 and the DNA fragments of 500 bp were recovered by electrophoresis, and DNA library was constructed at last. Finally, the sequencing data were obtained through the Illumina HiSeq 2000. The short reads were mapped to bovine reference genome (UMD 3.1) to detect the genomic mutations of Sanjiang cattle using BWA software. The analysis of the re-sequencing data was implemented using SAMtools, Picard-tools, GATK, Reseqtools, the SNPs and indels were annotated based on the Ensembl, DAVID and dbSNP database. 【Result】A total of 77.8 Gb of sequence data were generated by whole-genome sequencing analysis, 99.31% of the reference genome sequence was covered with an mapping depth of 25.32-fold, 778 403 444 reads and 77 840 344 400 bases were obtained, of which 673 670 505 reads and 67 341 451 555 bases covered 86.55% and 86.51% of bovine reference genomes (UMD 3.1) respectively, paired-end reads mapping were 635 242 898 (81.61%), paired-end bases mapping were 63 512 636 924 (81.59%). A total of 20 477 130 SNPs and 1 355 308 small indels were identified, of which 2 147 988 SNPs (2.4%) and 90 180 (6.7%) indels were found to be new. Of the total number of SNPs, 989 686 (4.83%) homozygous SNPs and 19 487 444 (95.17%) heterozygous SNPs were discovered, homozygous/heterozygous SNPs was 1﹕19.7. Transitions were 14 800 438, transversions were 6 680 058, transition/transversion (TS/TV) was 2.215. SNPs of splice site mutations were 727, the number of SNPs which the start codon converts into no stop codon were 117, SNPs of premature stop codon were 530, the number of SNPs which stop codon converts into no stop codon were 88. A total of 57 621 non-synonymous SNPs and 83 797 synonymous SNPs were detected, the ratio was 0.69. Non-synonymous SNPs were detected in 9,017 genes, 567 genes were assigned as trait-associated genes, which included meat quality, disease resistance, milk production, growth rate, fecundity with the number of 471, 77, 21, 10, and 8 respectively, the function of some genes were overlap. In detection of indels, 693 180 (51.15%) were deletions and 662 148 (48.85%) were insertions, 161 198 (11.89%) were homozygous and 1 194 110 (88.11%) were heterozygous. Most variations were located in intergenic regions and introns. Heterozygosity (H), nucleotide diversity (Pi) and theta W of Sanjiang cattle genome-wide were 7.6 × 10^-3, 0.0039, 0.0040, respectively, which indicated that Sanjiang cattle have an abundant genetic diversity. The Tajima'D of Sanjiang cattle population was-0.06 832, which speculated that the population exists an unbalanced selection.【Conclusion】Results of this research will provide valuable genomic data for further investigations of the genetic mechanisms underlying traits of interest and protection of Sanjiang cattle breeds genetic diversity.

Key words: Sanjiang Cattle, genome, next generation sequencing, SNP, indel

SONG NaNa, ZHONG JinCheng, CHAI ZhiXin, WANG Qi, HE ShiMing, WU JinBo, JIAN ShangLin, RAN Qiang, MENG Xin, HU HongChun. The Whole Genome Data Analysis of Sanjiang Cattle[J].Scientia Agricultura Sinica, 2017, 50(1): 183-194.

References

[1] 孙福勇, 刘君. 三江黄牛的生态分布及其品种特点. 草业与畜牧, 2009(9): 51-52.

SUN F Y, LIU J. Distribution and ecological features of Sanjiang cattle breed. prataculture and animal husbandry（in Chinese）, 2009(9): 51-52.

[2] 陈智华, 顾磊, 钟金城. 三江黄牛 Bola-DRB3 基因第二外显子的 PCR-RFLP 多态性研究. 西南民族大学学报(自然科学版), 2008, 33(4): 782-787.

CHEN Z H, GU L, ZHONG J C. Study on the polymorphism of the Bola-DRB3 gene exon 2 in the Sanjiang Cattle by PCR-RFLP method. Journal of Southwest University for Nationalities (Natural Science Edition), 2008, 33(4): 782-787. (in Chinese)

[3] HOLLEY R W, EVERETT G A, MADISON J T, ZAMIR A. Nucleotide sequences in the yeast alanine transfer ribonucleic acid. Journal of Biological Chemistry, 1965, 240(5): 2122-2128.

[4] FRESCO J R, ADAMS A, ASCIONE R, HENLEY D, LINDAHL T. Tertiary structure in transfer ribonucleic acids//Cold Spring Harbor symposia on quantitative biology. Cold Spring Harbor Laboratory Press, 1966, 31: 527-537.

[5] CELANDER D W, CECH T R. Visualizing the higher order folding of a catalytic RNA molecule. Science, 1991, 251(4992): 401-407.

[6] SANGER F, NICKLEN S, COULSON A R. DNA sequencing with chain-terminating inhibitors. Proceedings of the National Academy of Sciences of the USA, 1977, 74(12): 5463-5467.

[7] MAXAM A M, GILBERT W. Sequencing end-labeled DNA with base-specific chemical cleavages. Methods in enzymology, 1979, 65(1): 499-560.

[8] ECK S H, BENET-PAGÈS A, FLISIKOWSKI K, MEITINGER T, FRIES R, STROM T M. Whole genome sequencing of a single Bos taurus animal for single nucleotide polymorphism discovery. Genome Biology, 2009, 10(8): R82.

[9] GIBBS R A, BELMONT J W, Hardenbol P, WILLIS T D, YU F L, YANG H M, CHANG L Y, HUANG W, LIU B, SHEN Yet al. The international HapMap project. Nature, 2003, 426(6968): 789-796.

[10] KAWAHARA-MIKI R, TSUDA K, Shiwa Y, ARAI-KICHISE Y, MATSUMOTO T, KANESAKI Y, ODA S, EBIHARA S, YAJIMA S, YOSHIKAWA H, KONO T. Whole-genome resequencing shows numerous genes with nonsynonymous SNPs in the Japanese native cattle Kuchinoshima-Ushi. BMC genomics, 2011, 12(1): 103.

[11] STOTHARD P, CHOI J W, BASU U, SUMNER-THOMSON J M, MENG Y, LIAO X, MOORE S S. Whole genome resequencing of black Angus and Holstein cattle for SNP and CNV discovery. BMC genomics, 2011, 12(1): 1.

[12] CHOI J W, CHUNG W H, LEE K T, LEE K T, CHOI J W, JUNG K S, CHO Y, KIM N, KIM T H. Whole genome resequencing of Heugu (Korean Black Cattle) for the genome-wide SNP discovery. Korean Journal for Food Science of Animal Resources, 2013, 33(6): 715-722.

[13] CHOI J W, LIAO X, PARK S, JEON H J, CHUNG W H, STOTHARD P, PARK Y S, LEE J K, LEE K T, KIM S H, OH J D, KIM N, KIM T H, LEE H K, LEE S J. Massively parallel sequencing of Chikso (Korean brindle cattle) to discover genome-wide SNPs and InDels. Molecules and cells, 2013, 36(3): 203-211.

[14] LEE K T, CHUNG W H, LEE S Y, CHOI J W, KIM J, LIM D, LEE S,JANG G W, KIM B, CHOY Y H, LIAO X, STOTHARD P, MOORE S S, LEE S H, AHN S, KIM N, KIM T H. Whole-genome resequencing of Hanwoo (Korean cattle) and insight into regions of homozygosity. BMC genomics, 2013, 14(1): 519.

[15] CHOI J W, LIAO X, STOTHARD P, CHUNG W H, JEON H J, MILLER S P, CHOI S Y, LEE J K, YANG B, LEE K T, HAN K J, KIM H C, JEONG D, OH J D, KIM N, KIM T H, LEE H K, LEE S J. Whole-genome analyses of Korean native and Holstein cattle breeds by massively parallel sequencing. PloS one, 2014, 9(7): e101127.

[16] CHOI J W, CHOI B H, LEE S H, LEE S S, KIM H C, YU D, CHUNG W H, LEE K T, CHAI H H, CHO Y M, LIM D. Whole-genome resequencing analysis of hanwoo and yanbian cattle to identify genome-wide SNPs and signatures of selection. Molecules and cells, 2015, 38(5): 466.

[17] SASAKI S, WATANABE T, NISHIMURA S, SUGIMOTO Y. Genome-wide identification of copy number variation using high-density single-nucleotide polymorphism array in Japanese Black cattle. BMC genetics, 2016, 17(1): 1.

[18] DAETWYLER H D, CAPITAN A, PAUSCH H, STOTHARD P, VAN BINSBERGEN R, BRØNDUM R F, LIAO X, DJARI A, RODRIGUEZ S C, GROHS C, ESQUERRÉ D, BOUCHEZ O, ROSSIGNOL M N, KLOPP C, ROCHA D, FRITZ S, EGGEN A, BOWMAN P J, COOTE D, CHAMBERLAIN A J, ANDERSON C, VANTASSELL C P, HULSEGGE I, GODDARD M E, GULDBRANDTSEN B, LUND M S, VEERKAMP R F, BOICHARD D A, FRIES R, HAYES B J Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle. Nature genetics, 2014, 46(8): 858-865.

[19] QANBARI S, PAUSCH H, JANSEN S, SOMEL M, STROM T M, FRIES R, NIELSEN R, SIMIANER H. Classic selective sweeps revealed by massive sequencing in cattle. PLoS Genet, 2014, 10(2): e1004148.

[20] LI H, DURBIN R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics, 2009, 25(14): 1754-1760.

[21] MCKENNA A, HANNA M, BANKS E, SIVACHENKO A, CIBULSKIS K, KERNYTSKY A, GARIMELLA K, ALTSHULER D, GABRIEL S, DALY M, DEPRISTO M A. The genome analysis toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome research, 2010, 20(9): 1297-1303.

[22] CHEN K, WALLIS J W, MCLELLAN M D LARSON D E, KALICKI J M, POHL C S, MCGRATH S D, WENDL M C, ZHANG Q, LOCKE D P, SHI X, FULTON R S, LEY T J, WILSON R K, DING L, MARDIS E R. BreakDancer: an algorithm for high-resolution mapping of genomic structural variation. Nature Methods, 2009, 6: 677-681.

[23] HE W, ZHAO S, LIU X, DONG S, LV J, LIU D, WANG J, MENG Z. ReSeqTools: an integrated toolkit for large-scale next-generation sequencing based resequencing analysis. Genetics and Molecular Research, 2013, 12(4): 6275-6283.

[24] 1000 genomes project consortium, ABECASIS G R, AUTON A, BRODKS L D, DEPRISTO M A, DURBIN R M, HANDSAKER R E, KANG H M, MARTH G T, MCVEAN G A. an integrated map of genetic variation from 1,092 human genomes. Nature, 2012, 491(7422): 56-65.

[25] STENSON P D, BALL E V, MORT M, PHILLIPS A D, SHIEL J A, THOMAS N S, ABEYSINGHE S, KRAWCZAK M, COOPER D N. Human gene mutation database (HGMD®): 2003 update. Human mutation, 2003, 21(6): 577-581.

[26] FLICEK P, AMODE M R, BARRELL D, BEAL K, BRENT S, CARVALHOSILVA D, CLAPHAM P, COATES G, FAIRLEY S, FITZGERALD S, GIL L, GORDON L, HENDRIX M, HOURLIER T, JOHNSON N, KÄHÄRI A K, KEEFE D, KEENAN S, KINSELLA R, KOMOROWSKA M, KOSCIELNY G, KULESHA E, LARSSON P, LONGDEN L, MCLAREN W, MUFFATO M, OVERDUIN B, PIGNATELLI M, PRITCHARD B, RIAT H S, RITCHIE G R S, RUFFIER M, SCHUSTER M, SOBRAL D, TANG Y A, TAYLOR K, TREVANION S, VANDROVCOVA J, WHITE S, WILSON M, WILDER S P, AKEN B L, BIRNEY E, CUNNINGHAM F, DUNHAM L, DURBIN R, FERNÁNDEZ, SUAREZ X M, HARROW J, HERRERO J, HUBBARD T J P, PARKER A, PROCTOR G, SPUDICH G, VOGEL J, YATES A, ZADISSA A, SEARLE S M J. Ensembl 2012. Nucleic acids research, 2011: gkr991.

[27] HUANG D W, SHERMAN B T, LEMPICKI R A. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature protocols, 2009, 4(1): 44-57.

[28] HIENDLEDER S, THOMSEN H, REINSCH N, BENNEWITZ J, LEYHE-HORN B, LOOFT C, XU N, MEDJUGORAC I, RUSS I, KÜHN C, BROCKMANN G A, BLÜMEL J, BRENIG B, REINHARDT F, REENTS R, AVERDUNK G, SCHWERIN M, FÖRSTER M, KALM E, ERHARDT G. Mapping of QTL for body conformation and behavior in cattle. Journal of Heredity, 2003, 94(6): 496-506.

[29] NKRUMAH J D, LI C, YU J, HANSEN C, KEISLER D H, MOORE S S. Polymorphisms in the bovine leptin promoter associated with serum leptin concentration, growth, feed intake, feeding behavior, and measures of carcass merit. Journal of Animal Science, 2005, 83(1): 20-28.

[30] HU Z L, FRITZ E R, REECY J M. AnimalQTLdb: a livestock QTL database tool set for positional QTL information mining and beyond. Nucleic Acids Research, 2007, 35(suppl. 1): D604-D609.

[31] HU Z L, REECY J M. Animal QTLdb: beyond a repository. A public platform for QTL comparisons and integration with diverse types of structural genomic information, Mamm Genome, 2007, 18(1): 1-4.

[32] THOMAS M G, ENNS R M, SHIRLEY K L, GARCIA M D, GARRETT A J, SILVER G A. Associations of DNA polymorphisms in growth hormone and its transcriptional regulators with growth and carcass traits in two populations of Brangus bulls. Genetics Molecular Research, 2007, 6(1): 222-237.

[33] BAGNATO A, SCHIAVINI F, ROSSONI A, MALTECCA C, DOLEZAL M, MEDUGORAC I, SÖLKNER J, RUSSO V, FONTANESI L, FRIEDMANN A, SOLLER M, LIPKIN E. Quantitative trait loci affecting milk yield and protein percentage in a three-country Brown Swiss population. Journal of dairy science, 2008, 91(2): 767-783.

[34] FERRAZ J B S, PINTO L F B, MEIRELLES F V, ELER J P, DE REZENDE F M, OLIVEIRA E C, ALMEIDA H B, WOODWARD B, NKRUMAH D. Association of single nucleotide polymorphisms with carcass traits in Nellore cattle. Genetics and Molecular Research, 2009, 8(4): 1360-1366.

[35] ALBERS C A, LUNTER G, MACARTHUR D G, MCVEAN G, OUWEHAND W H, DURBIN R. Dindel: accurate indel calls from short-read data. Genome research, 2011, 21(6): 961-973.

[36] NIELSEN R. Molecular signatures of natural selection. Annual Review of Genetics., 2005, 39: 197-218.

[37] Shin Y, Jung H J, Jung M, Yoo S I, Subramaniyam S, Markkandan K, Kang J M, Rai R, Park J, Kim J J. Discovery of gene sources for economic traits in Hanwoo by whole- genome resequencing. Asian-Australasian journal of animal sciences, 2016, 29(9): 1353-1362.

[38] FUJIMOTO A, NAKAGAWA H, HOSONO N, NAKANO K, ABE T, BOROEVICH K A, NAGASAKI M, YAMAGUCHI R, SHIBUYA T, KUBO M, MIYANO S, NAKAMURA Y, TSUNODA T. Whole- genome sequencing and comprehensive variant analysis of a Japanese individual using massively parallel sequencing. Nature genetics, 2010, 42(11): 931-936.

[39] MAKOVA K D, LI W H. Strong male-driven evolution of DNA sequences in humans and apes. Nature, 2002, 416(6881): 624-626.

[40] HOASHI S, HINENOYA T, TANAKA A, OHSAKI H, SASAZAKI S, TANIGUCHI M, OYAMA K, MUKAI F, MANNEN H. Association between fatty acid compositions and genotypes of FABP4 and LXR-alpha in Japanese Black cattle. BMC genetics, 2008, 9(1): 1.

[41] JIANG Z, MICHAL J J, TOBEY D J, WANG Z, MACNEIL M D, MAGNUSON N S. Comparative understanding of UTS2 and UTS2R genes for their involvement in type 2 diabetes mellitus. International Journal of Biological Sciences, 2008, 4(2): 96-102.

[42] GILL J L, BISHOP S C, MCCORQUODALE C, WILLIAMS J L, WIENER P. Association of selected SNP with carcass and taste panel assessed meat quality traits in a commercial population of Aberdeen Angus-sired beef cattle. Genetics Selection Evolution, 2009, 41(1): 36.

[43] BUCHANAN F C, FITZSIMMONS C J, VAN KESSEL A G, Thue T D, Winkelman-Sim D C, Schmutz S M. Association of a missense mutation in the bovine leptin gene with carcass fat content and leptin mRNA levels. Genetics Selection Evolution, 2002, 34(1): 105-116.

[44] Watanabe N, Satoh Y, Fujita T, Ohta T, Kose H, Muramatsu Y, Yamamoto T, Yamada T. Distribution of allele frequencies at TTN g. 231054C> T, RPL27A g. 3109537C> T and AKIRIN2 c.* 188G> A between Japanese Black and four other cattle breeds with differing historical selection for marbling. BMC Research. Notes, 2011 4: 10.

[45] LIEFERS S C, VEERKAMP R F, PAS M F W, DELAVAUD C, CHILLIARD Y, LENDE T A. missense mutation in the bovine leptin receptor gene is associated with leptin concentrations during late pregnancy. Animal Genetics, 2004, 35(2): 138-141.

[46] YANG Q E, OZAWA M, ZHANG K, JOHNSON S E, EALY A D. The requirement for protein kinase C delta (PRKCD) during preimplantation bovine embryo development. Reproduction, Fertility and Development, 2014, 28(4): 482-490.

[47] LIU Y, QIN X, SONG X Z, JIANG H Y, SHEN Y F, DURBIN K J, LIEN S, KENT M P, SODELAND M, REN Y R, ZHANG L, SODERGREN E, HAVLAK P, WORLEY K C, WEINSTOCK G M, GIBBS R A. Bos taurus genome assembly. BMC genomics., 2009, 10(1): 1

[48] MISHRA C, PALAI TK, SARANGI LN, PRUSTY BR, MAHARANA BR. Candidate gene markers for sperm quality and fertility in bulls. Veterinary World, 2013, 6: 905-910.

[49] McClure M, Kim E, Bickhart D, Null D, Cooper T, Cole J, Wiggans J, Ajmone-Marsan P, Colli L, Santus E, Liu G, Schroeder S, Matukumalli L, Tassell C V, Sonstegard T. Fine mapping for Weaver syndrome in Brown Swiss cattle and the identification of 41 concordant mutations across NRCAM, PNPLA8 and CTTNBP2. PloS one, 2013, 8(3): e59251.

[50] Van den Bossche J, Malissen B, Mantovani A, De Baetselier P, J A, Ginderachter V. Regulation and function of the E-cadherin/catenin complex in cells of the monocyte- macrophage lineage and DCs. Blood, 2012, 119(7): 1623-1633.

Related Articles 15

[1]	ZHAO ZiJie, SONG Hao, DONG XiaoOu, WAN JianMin. Progress in Transposable Element-Assisted Targeted Insertion of Large DNA Fragments [J]. Scientia Agricultura Sinica, 2026, 59(6): 1141-1156.
[2]	YE MeJin, WU Lei, MD NAHIBUZZAMAN Lohani, YIN Li, HU XinRong, LIU YaXi, JIANG YunFeng, CHEN GuoYue, PU ZhiEn, LI Yang, LI Ting, ZOU YaYa, WU JiaYi, MA Jian. Genome-Wide Association Study-Based Identification of Loci Controlling Mature Embryo Size in Chinese Wheat Landraces and Their Genetic Effects Analysis [J]. Scientia Agricultura Sinica, 2026, 59(6): 1157-1171.
[3]	CAO HaiShun, ZHOU DongYuan, WANG Rui, SHI ZhaoWan, WU TingQuan, ZHANG ChangYuan. Identification of Short Hypocotyl Cucumber Germplasm Under Low Light Stress and QTL Mapping of the Trait [J]. Scientia Agricultura Sinica, 2026, 59(6): 1286-1301.
[4]	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.
[5]	WANG YongSheng, NIU Li, WANG ChangJie, MA LiHua, LIAN XiaoXiao, MENG YaXiong, MA XiaoLe, YAO LiRong, ZHANG Hong, YANG Ke, LI BaoChun, WANG HuaJun, SI ErJing, WANG JunCheng. Genome-Wide Association Study and Candidate Gene Identification for Thousand Grain Weight in Winter Wheat [J]. Scientia Agricultura Sinica, 2026, 59(3): 499-514.
[6]	JIA ZiCheng, QIN BingYu, MA CaiYing, DU Yong, LIU TongGao, XUE RuiLin, WANG XiaoLong, ZHOU ShiWei. Effects of Diets with Different Nutritional Levels on Maternal-Infant Integrated Production Performance and Rumen Microorganisms of Double-Lamb Shanbei White Cashmere Goats [J]. Scientia Agricultura Sinica, 2026, 59(3): 668-686.
[7]	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.
[8]	LÜ Tao, SUN GuoQing, GUO DongCai, CHEN QuanJia, CAI YongSheng, FAN BiaoXing, QU YanYing, ZHENG Kai. Development and Effectiveness Evaluation of InDel Molecular Markers Closely Linked to Fiber Strength QTL in Gossypium barbadense [J]. Scientia Agricultura Sinica, 2025, 58(9): 1684-1701.
[9]	LUO ZhengYing, HU Xin, WU ZhuanDi, QIAN ZhenFeng, TIAN ChunYan, LIU XinLong, LI FuSheng. Genome-Wide Survey and Development of Novel SSR Markers in Erianthus fulvus [J]. Scientia Agricultura Sinica, 2025, 58(5): 851-863.
[10]	ZHANG TianYu, LI Bai, ZANG JinPing, CAO HongZhe, DONG JinGao, XING JiHong, ZHANG Kang. Genome-Wide Identification and Expression Analysis of HMG Family Genes in Botrytis cinerea [J]. Scientia Agricultura Sinica, 2025, 58(4): 704-718.
[11]	ZHOU GuangFei, MA Liang, MA Lu, ZHANG ShuYu, ZHANG HuiMin, SONG XuDong, ZHANG ZhenLiang, LU HuHua, HAO DeRong, MAO YuXiang, XUE Lin, CHEN GuoQing. Genome-Wide Association Study of Husk Traits in Maize [J]. Scientia Agricultura Sinica, 2025, 58(3): 431-442.
[12]	XU DuoDuo, DU QianQian, ZHAO LiXiang, LI Yan, HUANG Gan, LI YongHua, LU JiuXing. Genome-Wide Analysis of AP2/ERF Transcription Factors in Peony [J]. Scientia Agricultura Sinica, 2025, 58(23): 5031-5045.
[13]	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.
[14]	GUO MengZe, ZHANG Lei, SUN PingPing, JIANG Biao, YAN JinQiang, LI ZhengNan. Molecular Characterization and Evolutionary Dynamics of Tomato Leaf Curl New Delhi Virus Isolate from Wax Gourd (Benincasa hispida) in Guangdong [J]. Scientia Agricultura Sinica, 2025, 58(19): 3890-3904.
[15]	YI ZeHui, WANG Ying, SONG HuiXia, ZHAO Jing, MAO LiPing. Genome-Wide Identification and Expression Analysis of Peroxiredoxins Gene Family in Asparagus officinalis [J]. Scientia Agricultura Sinica, 2025, 58(18): 3728-3743.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

The Whole Genome Data Analysis of Sanjiang Cattle

RichHTML

PDF

Cited