Genotyping by Sequencing for Crop Improvement. Группа авторов
Чтение книги онлайн.

Читать онлайн книгу Genotyping by Sequencing for Crop Improvement - Группа авторов страница 30

Название: Genotyping by Sequencing for Crop Improvement

Автор: Группа авторов

Издательство: John Wiley & Sons Limited

Жанр: Биология

Серия:

isbn: 9781119745679

isbn:

СКАЧАТЬ PLoS Genet 9: e1003534.

      7 Bhat, J.A., Deshmukh, R., Zhao, T. et al. (2020). Harnessing high‐throughput phenotyping and genotyping for enhanced drought tolerance in crop plants. Journal of Biotechnology 324: 248–260.

      8 Chaudhary, J., Alisha, A., Bhatt, V. et al. (2019a). Mutation breeding in tomato: advances, applicability and challenges. Plants 8: 128.

      9 Chaudhary, J., Khatri, P., Singla, P. et al. (2019b). Advances in omics approaches for abiotic stress tolerance in tomato. Biology 8: 90.

      10 Chaudhary, J., Shivaraj, S., Khatri, P. et al. (2019c). Approaches, applicability, and challenges for development of climate‐smart soybean. In: Genomic Designing of Climate‐Smart Oilseed Crops, 1–74. Cham: Springer.

      11 Chun‐Chao, W., Yu, H., Huang, J. et al. (2019). Towards a deeper haplotype mining of complex traits in rice with RFGB v2. 0. Plant Biotechnology Journal 18: 14.

      12 de Ronne, M., Labbé, C., Lebreton, A. et al. (2020). Integrated QTL mapping, gene expression and nucleotide variation analyses to investigate complex quantitative traits: a case study with the soybean‐Phytophthora sojae interaction. Plant Biotechnology Journal 18: 1492–1494.

      13 Deshmukh, R.K., Sonah, H., and Singh, N.K. (2016). Intron gain, a dominant evolutionary process supporting high levels of gene expression in rice. Journal of Plant Biochemistry and Biotechnology 25: 142–146.

      14 Fracassetti, M., Griffin, P.C., and Willi, Y. (2015). Validation of pooled whole‐genome re‐sequencing in Arabidopsis lyrata. PLoS One 10: e0140462.

      15 Fuentes‐Pardo, A.P. and Ruzzante, D.E. (2017). Whole‐genome sequencing approaches for conservation biology: advantages, limitations and practical recommendations. Molecular Ecology 26: 5369–5406.

      16 Goda, S.K. and Minton, N.P. (1995). A simple procedure for gel electrophoresis and northern blotting of RNA. Nucleic Acids Research 23: 3357.

      17 Hellwege, J.N., Keaton, J.M., Giri, A. et al. (2017). Population stratification in genetic association studies. Current Protocols in Human Genetics 95: 1.22.21–21.22.23.

      18 Hill, J.T., Demarest, B.L., Bisgrove, B.W. et al. (2013). MMAPPR: mutation mapping analysis pipeline for pooled RNA‐seq. Genome Research 23: 687–697.

      19 Huang, X., Feng, Q., Qian, Q. et al. (2009). High‐throughput genotyping by whole‐genome resequencing. Genome Research 19: 1068–1076.

      20 Klein, H., Xiao, Y., Conklin, P.A. et al. (2018). Bulked‐segregant analysis coupled to whole genome sequencing (BSA‐Seq) for rapid gene cloning in maize. G3: Genes. Genomes, Genetics 8: 3583–3592.

      21 Kumawat, S., Rana, N., Bansal, R. et al. (2019). Expanding avenue of fast neutron mediated mutagenesis for crop improvement. Plants 8: 164.

      22 Li, C., Tian, D., Tang, B. et al. (2021). Genome variation map: a worldwide collection of genome variations across multiple species. Nucleic Acids Research 49: D1186–D1191.

      23 Li, J.‐Y., Wang, J., and Zeigler, R.S. (2014). The 3,000 rice genomes project: new opportunities and challenges for future rice research. Gigascience 3: 8.

      24 Liang, Z., Duan, S., Sheng, J. et al. (2019). Whole‐genome resequencing of 472 Vitis accessions for grapevine diversity and demographic history analyses. Nature communications 10: 1–12.

      25 Lin, Y.‐L., Wu, D.‐H., Wu, C.‐C. et al. (2021). Explore the genetics of weedy traits using rice 3K database. Botanical Studies 62: 2.

      26 Locedie, M., Rommel, F.R., Nikki, B.F. et al. (2016). Rice SNP‐seek database update: new SNPs, indels, and queries. Nucleic Acids Research 45: D1075–D1081.

      27 Loera‐Sánchez, M., Studer, B., and Kölliker, R. (2019). DNA‐based assessment of genetic diversity in grassland plant species: challenges, approaches, and applications. Agronomy 9: 881.

      28 Mushtaq, M., Mukhtar, S., Sakina, A. et al. (2019). Tweaking genome‐editing approaches for virus interference in crop plants. Plant Physiology and Biochemistry 147: 242–250.

      29 Norton, N., Williams, N., O'Donovan, M. et al. (2004). DNA pooling as a tool for large‐scale association studies in complex traits. Annals of Medicine 36: 146–152.

      30 Patil, G., Vuong, T.D., Kale, S. et al. (2018). Dissecting genomic hotspots underlying seed protein, oil, and sucrose content in an interspecific mapping population of soybean using high‐density linkage mapping. Plant Biotechnology Journal 16: 1939–1953.

      31 Patil, G.B., Lakhssassi, N., Wan, J. et al. (2019). Whole‐genome re‐sequencing reveals the impact of the interaction of copy number variants of the rhg1 and Rhg4 genes on broad‐based resistance to soybean cyst nematode. Plant Biotechnology Journal 17: 1595–1611.

      32 Pawlowski, M.L., Vuong, T.D., Valliyodan, B. et al. (2020). Whole‐genome resequencing identifies quantitative trait loci associated with mycorrhizal colonization of soybean. Theoretical and Applied Genetics 133: 409–417.

      33 Rana, N., Rahim, M.S., Kaur, G. et al. (2019). Applications and challenges for efficient exploration of omics interventions for the enhancement of nutritional quality in rice (Oryza sativa L.). Critical Reviews in Food Science and Nutrition 13: 1–17.

      34 Rasoolizadeh, A., Labbé, C., Sonah, H. et al. (2018). Silicon protects soybean plants against Phytophthora sojae by interfering with effector‐receptor expression. BMC Plant Biology 18: 97.

      35 Ratnaparkhe, M.B., Marmat, N., Kumawat, G. et al. (2020). Whole genome re‐sequencing of soybean accession EC241780 providing genomic landscape of candidate genes involved in rust resistance. Current Genomics 21: 504–511.

      36 Schmutz, J., Cannon, S.B., Schlueter, J. et al. (2010). Genome sequence of the palaeopolyploid soybean. Nature 463: 178–183.

      37 Sevanthi, A., Kandwal, P., Kale, P.B. et al. (2018). Whole genome characterization of a few EMS‐induced mutants of upland rice variety Nagina 22 reveals a staggeringly high frequency of SNPs which show high phenotypic plasticity towards the wild‐type. Frontiers in Plant Science 9: 1179.

      38 Sham, P., Bader, J.S., Craig, I. et al. (2002). DNA pooling: a tool for large‐scale association studies. Nature Reviews Genetics 3: 862–871.

      39 Sharma, A., Kailasrao Deshmukh, R., Jain, N. et al. (2011). Combining QTL mapping and transcriptome profiling for an insight into genes for grain number in rice (Oryza sativa L.). Indian Journal of Genetics and Plant Breeding 71: 115.

      40 Shivaraj, S., Dhakate, P., Sonah, H. et al. (2019). Progress toward development of climate‐smart flax: a perspective on omics‐assisted breeding. In: Genomic Designing of Climate‐Smart Oilseed Crops, 239–274. Cham: Springer.

      41 Singh, A., Singh, P.K., Sharma, A.K. et al. (2019). Understanding the role of the WRKY gene family under stress conditions in pigeonpea (Cajanus Cajan L.). Plants 8: 214.

      42 Sonah, H., O'Donoughue, L., Cober, E. et al. (2015). Identification of loci governing eight agronomic traits using a GBS‐GWAS approach and validation by QTL mapping in soya bean. Plant Biotechnology Journal 13: 211–221.

      43 Sonah, H., Zhang, X., Deshmukh, R.K. et al. (2016). Comparative transcriptomic analysis of virulence factors in Leptosphaeria maculans during compatible and incompatible interactions with canola. Frontiers in Plant Science 7: 1784.

      44 Tayade, R., Nguyen, T., Aeong Oh, S. et al. (2018). СКАЧАТЬ