1 00:00:00,375 --> 00:00:03,253 This presentation has been supported by the Erasmus 2 00:00:03,253 --> 00:00:06,256 Plus K2 Cooperation Partnerships. 3 00:00:06,673 --> 00:00:10,927 Innovation of the structure and content of study programs in the field of animal 4 00:00:10,927 --> 00:00:15,432 genetic and food resources 5 00:00:15,432 --> 00:00:16,016 management with the 6 00:00:16,016 --> 00:00:20,478 use of digitalization 7 00:00:20,645 --> 00:00:24,065 innovation. 8 00:00:24,774 --> 00:00:29,446 The European Commission support for the production of this presentation does not constitute 9 00:00:29,446 --> 00:00:33,366 and endorsement of the contents, which reflects the views only of the authors. 10 00:00:33,700 --> 00:00:39,414 And the Commission cannot be held responsible for any use which may be made of the information contained therein. 11 00:00:39,581 --> 00:00:45,462 The name of the speaker is Katarzyna Andraszek, and she works for the Institute of Zootechnic and Fisheries 12 00:00:45,795 --> 00:00:48,757 Faculty of Agrobioengineering and Animal Husbandry 13 00:00:48,757 --> 00:00:52,177 in Siedlce University of Natural Sciences and Humanities. 14 00:00:52,552 --> 00:00:57,432 She would like to present a short lecture on the modern biotechnology used in animal breeding 15 00:00:57,724 --> 00:01:00,852 elements of genetic engineering and advances in breeding. 16 00:01:01,186 --> 00:01:05,231 Probably modern biotechnology optimally exploits 17 00:01:05,231 --> 00:01:10,195 DNA recombination techniques and is associated with the development of many sciences 18 00:01:10,361 --> 00:01:14,991 such as microbiology, biochemistry, molecular and cellular biology, 19 00:01:15,158 --> 00:01:18,369 as well as chemistry, computer science and physics. 20 00:01:19,370 --> 00:01:22,874 Biotechnological research is an interdisciplinary research. 21 00:01:23,833 --> 00:01:26,002 The goals of biotechnological research 22 00:01:26,002 --> 00:01:29,547 are optimization of gene expression levels, modified 23 00:01:29,881 --> 00:01:35,178 modification of nucleotide sequences, encoding a protein or regulating gene expression, 24 00:01:35,595 --> 00:01:39,516 and the sequencing of the genome and genes of a selected organism 25 00:01:39,516 --> 00:01:42,268 and comparison with previously known sequences. 26 00:01:43,019 --> 00:01:46,189 Construction of transgenic organisms with new traits. 27 00:01:46,689 --> 00:01:49,192 Somatic and reproductive gene therapy. 28 00:01:50,026 --> 00:01:53,154 As well as genetic diagnostics and cloning animals. 29 00:01:55,115 --> 00:01:57,575 Attaining biotechnological goals involves 30 00:01:57,575 --> 00:02:00,620 not only achievements, but also concerns and risks. 31 00:02:01,538 --> 00:02:05,750 Correct diagnoses and improved methods for preventing and treating genetic 32 00:02:05,750 --> 00:02:10,088 and infectious diseases are undoubtedly one of the achievements of biotechnology. 33 00:02:10,964 --> 00:02:13,383 Alongside those, we can also consider 34 00:02:13,383 --> 00:02:16,344 the following points as positives of biotechnology, 35 00:02:16,636 --> 00:02:19,472 new beneficial varieties of plants and animals, 36 00:02:19,806 --> 00:02:23,768 new strains of microorganisms with beneficial productivity traits, 37 00:02:24,060 --> 00:02:27,397 new substances obtained through research and implementation, 38 00:02:27,605 --> 00:02:29,816 new methods of environmental protection. 39 00:02:30,650 --> 00:02:32,735 In regards to the dangers and risks, 40 00:02:32,986 --> 00:02:37,240 we need to consider the possibility of potential damage to other organisms 41 00:02:37,240 --> 00:02:40,869 or the environment caused by transgenic strains and varieties. 42 00:02:41,161 --> 00:02:43,955 A reduction in biological genetic diversity, 43 00:02:44,497 --> 00:02:47,167 interference with human and animal genotypes, 44 00:02:47,375 --> 00:02:53,298 violations of the boundaries of personal information, and a societal aspect of further privileging 45 00:02:53,298 --> 00:02:58,720 of wealthy people and countries due to the availability of expensive and often patented technologies. 46 00:03:00,221 --> 00:03:01,514 For about a decade, 47 00:03:01,514 --> 00:03:04,934 biotechnology has been divided into three main fields 48 00:03:05,560 --> 00:03:08,438 Biotechnology a total vulnerable zone to read, 49 00:03:08,438 --> 00:03:11,357 biotechnology leading to new means of preventing 50 00:03:11,566 --> 00:03:15,570 treating and curing diseases, especially previously incurable ones. 51 00:03:15,862 --> 00:03:18,239 Using new diagnostic and treatment methods, 52 00:03:18,865 --> 00:03:21,659 Interest science on the field that is currently of 53 00:03:21,659 --> 00:03:26,956 the most interest is green biotechnology, which is genetic manipulation in plants 54 00:03:26,956 --> 00:03:30,710 and animals leading to improved yields and new agricultural products, 55 00:03:32,003 --> 00:03:34,547 as well as new traits in plants and animals 56 00:03:35,048 --> 00:03:38,384 and finally, white biotechnology, 57 00:03:39,302 --> 00:03:42,430 which is application of biotechnology in industry, 58 00:03:44,015 --> 00:03:46,309 Green biotechnology is the production 59 00:03:46,309 --> 00:03:48,811 of genetically modified plants and animals. 60 00:03:49,729 --> 00:03:53,650 The effects of green biotechnology can be seen in the following areas 61 00:03:54,400 --> 00:03:57,487 in vitro production of starting material for crops, 62 00:03:58,404 --> 00:04:02,617 the introduction of genes determining desired traits in plants and animals 63 00:04:03,660 --> 00:04:05,370 to be called transgensis 64 00:04:05,370 --> 00:04:06,913 Breeding 65 00:04:08,039 --> 00:04:10,708 using genetic 66 00:04:10,875 --> 00:04:14,170 markers 67 00:04:15,296 --> 00:04:18,967 In modern animal breeding, which is focused on maximum 68 00:04:18,967 --> 00:04:23,471 genetic progress, the most important role is ascribed to genetic markers 69 00:04:23,471 --> 00:04:26,766 and their use for the assessment of genetic progress and the breeding 70 00:04:26,766 --> 00:04:30,144 value of animals. 71 00:04:30,728 --> 00:04:33,564 It's worth asking then, what is a genetic marker? 72 00:04:34,065 --> 00:04:36,651 Then at the marker? 73 00:04:36,651 --> 00:04:42,657 And a genetic marker can be a gene or DNA sequence of known location in the animal genome 74 00:04:42,865 --> 00:04:46,703 linked to a gene or chromosome fragment determining a specific trait, 75 00:04:46,995 --> 00:04:50,748 usually an important quantitative trait 76 00:04:51,249 --> 00:04:54,127 in breeding of a given species. 77 00:04:55,503 --> 00:04:59,173 So a markers usefulness depends on whether it is polymorphic, 78 00:05:00,216 --> 00:05:03,136 so meaning that at least two alleles occur 79 00:05:03,136 --> 00:05:06,347 at the locus of the marker in the population and marker 80 00:05:07,098 --> 00:05:10,435 polymorphism of markers is tested by analytical methods 81 00:05:10,643 --> 00:05:14,147 among which serological methods using test serums were once 82 00:05:14,147 --> 00:05:17,066 dominant and biochemical methods of it 83 00:05:17,525 --> 00:05:21,195 method using techniques based on protein electrophoresis 84 00:05:21,195 --> 00:05:25,408 and newest techniques using DNA sequence analysis techniques. 85 00:05:25,825 --> 00:05:29,078 Genetic markers 86 00:05:30,330 --> 00:05:30,830 are divided 87 00:05:30,830 --> 00:05:34,250 into two classes 88 00:05:35,084 --> 00:05:38,504 class one comprises classical markers, genes. 89 00:05:39,505 --> 00:05:44,135 Polymorphism of these markers was previously detected by analyzing gene products 90 00:05:44,135 --> 00:05:48,765 using serological methods and protein electrophoresis . 91 00:05:49,307 --> 00:05:53,061 But it can also be tested by analyzing the sequences of these genes 92 00:05:54,729 --> 00:05:58,399 using methods such as DNA sequencing or RFLP 93 00:05:58,399 --> 00:06:02,278 restriction, fragment length, polymorphism to tool polymorphism, 94 00:06:02,779 --> 00:06:05,865 fragment of a restricting or SSCP 95 00:06:06,074 --> 00:06:09,660 simple sequence length polymorphism to prospect segments. 96 00:06:10,036 --> 00:06:14,624 The second class of markers are the polymorphic non-coding sequences set 97 00:06:14,832 --> 00:06:20,338 among which tandemly repeated microsatellite sequences and to a lesser degree function. 98 00:06:20,338 --> 00:06:23,424 Microsatellites mini satellite sequences 99 00:06:23,591 --> 00:06:26,594 are considered the most important. Polymorphism. 100 00:06:26,803 --> 00:06:32,350 of this class of markers is analyzed exclusively by DNA sequence analysis. 101 00:06:34,102 --> 00:06:36,729 Apart from DNA markers, 102 00:06:36,729 --> 00:06:41,317 we can distinguish another group of markers associated with chromosomal polymorphism, 103 00:06:41,484 --> 00:06:45,029 which is detected with the use of banding chromosomes staining techniques. 104 00:06:46,072 --> 00:06:48,116 Chromosomal polymorphism mainly 105 00:06:48,116 --> 00:06:51,160 affects the size of constitutive heterochromatin blocks. 106 00:06:51,494 --> 00:06:56,290 identified using CBG staining technique 107 00:06:56,707 --> 00:06:59,585 and nucleoar organizer regions 108 00:07:00,378 --> 00:07:04,132 identified using AgNOR technique. 109 00:07:04,841 --> 00:07:07,885 Currently genetic progress 110 00:07:09,929 --> 00:07:12,432 in animals is undoubtedly 111 00:07:12,432 --> 00:07:15,017 influenced by properly conducted selection work. 112 00:07:16,477 --> 00:07:19,730 Selection of animals on the basis of breeding value assessments 113 00:07:19,772 --> 00:07:23,776 estimated using genetic markers is known as marker assisted selection. 114 00:07:23,776 --> 00:07:27,280 The usefulness 115 00:07:27,280 --> 00:07:29,532 of genetic markers 116 00:07:29,532 --> 00:07:32,827 in MAS programs 117 00:07:32,827 --> 00:07:35,872 depends on how much of the genetic variants of a given trait 118 00:07:35,872 --> 00:07:39,375 can be explained by information available 119 00:07:40,126 --> 00:07:43,171 from genetic markers. 120 00:07:44,172 --> 00:07:46,841 The use of genetic markers in breeding programs 121 00:07:46,841 --> 00:07:52,138 increases the accuracy of breeding value assessment and thereby increases genetic progress. 122 00:07:53,097 --> 00:07:58,186 And the additional information about the breeding value of animals provided 123 00:07:58,186 --> 00:08:02,940 by genetic markers is especially useful in the case of traits with low heritability 124 00:08:03,566 --> 00:08:07,195 traits whose measurements are available 125 00:08:07,195 --> 00:08:10,781 in the later period of the animal's life, or only after it is slaughtered 126 00:08:11,782 --> 00:08:14,243 and traits associated with the animal sex. 127 00:08:15,161 --> 00:08:17,622 Another benefit of the use of genetic markers 128 00:08:17,622 --> 00:08:21,334 is shortening of the generation interval of stamp calling. 129 00:08:21,417 --> 00:08:27,006 The ability to quickly obtain information about an individual made possible by genetic markers 130 00:08:27,298 --> 00:08:31,802 can significantly shorten the generation interval and accelerate breeding progress. 131 00:08:33,763 --> 00:08:38,100 The usefulness of genetic markers in assessment of the breeding value of animals 132 00:08:38,100 --> 00:08:41,896 depends on how strongly they are linked to the quantitative trait locus. 133 00:08:42,104 --> 00:08:46,359 QTL The strength of the linkage of the marker to the cuttle 134 00:08:46,359 --> 00:08:49,362 is described by linkage disequilibrium 135 00:08:49,654 --> 00:08:54,659 with which describes the Nonrandom Association of alleles from two or more loci. 136 00:08:55,535 --> 00:08:58,329 If the genetic markers are linked to a given locus 137 00:08:58,329 --> 00:09:02,083 in a completely random way, they are in linkage equilibrium la 138 00:09:02,625 --> 00:09:05,586 plunging to exclude a B 139 00:09:06,462 --> 00:09:10,800 according to the strength of the link genetic markers are classified as L.D. 140 00:09:10,841 --> 00:09:11,509 or LA. 141 00:09:13,594 --> 00:09:14,053 The most 142 00:09:14,053 --> 00:09:18,266 useful markers in animal breeding are those in strong linkage disequilibrium 143 00:09:18,266 --> 00:09:21,602 with the quantitative trait loci technology of it, 144 00:09:22,436 --> 00:09:24,605 which means that the linkage with the cuttle 145 00:09:24,605 --> 00:09:26,857 is rarely broken by recombination. 146 00:09:27,650 --> 00:09:29,735 The use of 147 00:09:29,860 --> 00:09:32,822 information provided by genetic markers 148 00:09:32,822 --> 00:09:37,702 To assess breeding value by the BLUP method 149 00:09:37,702 --> 00:09:42,290 involves including the QTL effect in a mixed model as an additional random effect. 150 00:09:42,665 --> 00:09:44,500 QTL effects can be estimated by analysing the linkages of genetic markers to qualitative trait genes. 151 00:09:44,500 --> 00:09:47,378 Based on this analysis, chromosome regions in which the sought-for QTL is most likely to be located are selected. 152 00:09:47,378 --> 00:09:50,715 In the case of breeding value assessment based on the model with the additional random QTL effect, 153 00:09:51,048 --> 00:09:54,927 MAS consists in combining the use of phenotypic information ( 154 00:09:55,177 --> 00:09:58,055 as in classical phenotype-based methods of breeding value assessment) 155 00:09:58,055 --> 00:10:01,225 with the additional information 156 00:10:02,143 --> 00:10:04,270 provided by genetic markers. 157 00:10:04,270 --> 00:10:07,398 In recent years, 158 00:10:07,898 --> 00:10:11,694 research on the use of single nucleotide polymorphisms (SNPs) 159 00:10:11,694 --> 00:10:18,200 as a source of information 160 00:10:18,492 --> 00:10:24,081 about the breeding value 161 00:10:25,207 --> 00:10:26,500 of animals 162 00:10:26,500 --> 00:10:30,713 has become 163 00:10:30,963 --> 00:10:34,759 increasingly popular 164 00:10:34,759 --> 00:10:37,678 On the spectrum, 165 00:10:38,763 --> 00:10:43,893 in contrast to estimation of breeding value with the effect of the cattle in a mixed model, 166 00:10:44,143 --> 00:10:47,146 where identification of the cuttle location requires 167 00:10:47,146 --> 00:10:52,943 a significance test to is cheap masc using SNPs involved 168 00:10:52,943 --> 00:10:56,447 simultaneous estimation of the effects of all SNPs 169 00:10:56,739 --> 00:11:00,910 or SNP haplotypes without the need to test their significance. 170 00:11:01,994 --> 00:11:04,872 Best contrasted this in these analyzes. 171 00:11:04,872 --> 00:11:10,753 It is assumed that the SNP markers will be the only source of information about the breeding value of animals. 172 00:11:11,003 --> 00:11:14,256 It will become unnecessary to gather phenotypic information, 173 00:11:14,632 --> 00:11:17,468 establish a new informative turn out the public 174 00:11:17,802 --> 00:11:22,473 gene key, which will make it possible to obtain a precise breeding value assessment 175 00:11:22,473 --> 00:11:26,686 for very young individuals immediately after birth already annual. 176 00:11:27,520 --> 00:11:31,065 This will enable a significant reduction in the generation interval. 177 00:11:31,357 --> 00:11:35,945 Faster genetic progress and a reduction in the costs of breeding value assessment. 178 00:11:37,655 --> 00:11:40,991 The technology of SNP microarrays enables rapid 179 00:11:40,991 --> 00:11:46,038 genotyping of hundreds of thousands of SNP loci. 180 00:11:46,163 --> 00:11:51,836 The SNP, from the vast number of SNPs identified the most informative target. 181 00:11:51,836 --> 00:11:55,965 SNPs are selected SNP, but then the most 182 00:11:55,965 --> 00:11:59,343 likely frequencies of SNP haplotypes are established. 183 00:11:59,552 --> 00:12:05,266 SNP bottom, followed by a search for associations between SNP haplotypes 184 00:12:05,266 --> 00:12:09,770 and the traits whose breeding values are to be estimated, 185 00:12:10,938 --> 00:12:12,565 After estimating the effects 186 00:12:12,565 --> 00:12:15,943 of haplotypes which are assumed 187 00:12:15,943 --> 00:12:20,030 not to be specific to the individual, but the same for the entire population. 188 00:12:20,448 --> 00:12:25,161 The genome wide estimated breeding value, 189 00:12:25,453 --> 00:12:28,456 EBV is estimated as the sum of the effects 190 00:12:28,456 --> 00:12:32,001 of SNP haplotypes characteristic of a given genotype. 191 00:12:32,001 --> 00:12:33,669 Individual 192 00:12:34,086 --> 00:12:36,505 It is assumed that the effects 193 00:12:37,548 --> 00:12:40,968 of SNP haplotypes add up 194 00:12:41,177 --> 00:12:45,723 and that epistatic interactions between SNP loci do not take place. 195 00:12:46,682 --> 00:12:51,187 GEBV can be estimated by the blood method, 196 00:12:51,437 --> 00:12:54,857 with the random effect of haplotypes included in the linear model. 197 00:12:55,357 --> 00:12:58,360 Polymorphism of genetic markers 198 00:12:58,360 --> 00:13:02,865 is exploited in research on the resistance/ 199 00:13:02,907 --> 00:13:06,786 susceptibility of animals to various diseases and genetic disorders. 200 00:13:07,328 --> 00:13:10,539 Gene owing to which carriers of deleterious alleles 201 00:13:10,539 --> 00:13:14,752 can be detected before the onset of disease symptoms . 202 00:13:15,461 --> 00:13:20,049 Particularly important research is conducted on the relationship between the antigens/ 203 00:13:20,424 --> 00:13:24,136 genes of the major histocompatibility complex MHC 204 00:13:24,345 --> 00:13:27,556 and the occurrence of diseases, especially infectious ones. 205 00:13:29,433 --> 00:13:31,060 Genetic markers are also 206 00:13:31,060 --> 00:13:34,021 extremely useful for estimating the degree of inbreeding 207 00:13:34,146 --> 00:13:37,775 homozygosity in individual populations lines 208 00:13:37,900 --> 00:13:41,445 analyzing the similarities and differences between populations 209 00:13:41,737 --> 00:13:45,616 and determining the genetic distance between them 210 00:13:45,825 --> 00:13:51,247 The estimation of genetic distance and the selection of breeds 211 00:13:51,247 --> 00:13:56,502 with high genetic variation can be used to preserve biological diversity in farm animals. 212 00:13:57,336 --> 00:14:02,424 An assessment of genetic variation between populations. 213 00:14:02,424 --> 00:14:05,636 Lines is helpful in choosing the optimal cross breeding 214 00:14:05,636 --> 00:14:08,472 variant and obtaining the maximum heterozygous effect. 215 00:14:08,806 --> 00:14:11,517 Maximal effect to look at that manifested 216 00:14:11,517 --> 00:14:14,562 mainly as improvement in the performance traits of animals, 217 00:14:15,312 --> 00:14:18,524 Characterization 218 00:14:18,649 --> 00:14:24,280 of selected genetic markers makes it possible to track the impact of selection work on the genetic structure 219 00:14:24,280 --> 00:14:29,618 of a given population and how specific genes are eliminated together with elimination of traits 220 00:14:29,618 --> 00:14:34,623 that are deleterious in terms of breeding 221 00:14:35,749 --> 00:14:37,001 Thank you for your attention.