RU2016130577A - Улучшенные способы молекулярной селекции - Google Patents
Улучшенные способы молекулярной селекции Download PDFInfo
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- RU2016130577A RU2016130577A RU2016130577A RU2016130577A RU2016130577A RU 2016130577 A RU2016130577 A RU 2016130577A RU 2016130577 A RU2016130577 A RU 2016130577A RU 2016130577 A RU2016130577 A RU 2016130577A RU 2016130577 A RU2016130577 A RU 2016130577A
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- 238000000034 method Methods 0.000 title claims 16
- 230000001488 breeding effect Effects 0.000 claims 14
- 238000009395 breeding Methods 0.000 claims 13
- 241000196324 Embryophyta Species 0.000 claims 2
- 244000062793 Sorghum vulgare Species 0.000 claims 2
- 238000003205 genotyping method Methods 0.000 claims 2
- 235000019713 millet Nutrition 0.000 claims 2
- 235000014698 Brassica juncea var multisecta Nutrition 0.000 claims 1
- 235000006008 Brassica napus var napus Nutrition 0.000 claims 1
- 240000000385 Brassica napus var. napus Species 0.000 claims 1
- 235000006618 Brassica rapa subsp oleifera Nutrition 0.000 claims 1
- 235000004977 Brassica sinapistrum Nutrition 0.000 claims 1
- 229920000742 Cotton Polymers 0.000 claims 1
- 235000010469 Glycine max Nutrition 0.000 claims 1
- 244000299507 Gossypium hirsutum Species 0.000 claims 1
- 244000020551 Helianthus annuus Species 0.000 claims 1
- 235000003222 Helianthus annuus Nutrition 0.000 claims 1
- 240000005979 Hordeum vulgare Species 0.000 claims 1
- 235000007340 Hordeum vulgare Nutrition 0.000 claims 1
- 240000004658 Medicago sativa Species 0.000 claims 1
- 235000017587 Medicago sativa ssp. sativa Nutrition 0.000 claims 1
- 241001465754 Metazoa Species 0.000 claims 1
- 238000000342 Monte Carlo simulation Methods 0.000 claims 1
- 240000007594 Oryza sativa Species 0.000 claims 1
- 235000007164 Oryza sativa Nutrition 0.000 claims 1
- 240000000111 Saccharum officinarum Species 0.000 claims 1
- 235000007201 Saccharum officinarum Nutrition 0.000 claims 1
- 240000006394 Sorghum bicolor Species 0.000 claims 1
- 235000011684 Sorghum saccharatum Nutrition 0.000 claims 1
- 235000021307 Triticum Nutrition 0.000 claims 1
- 244000098338 Triticum aestivum Species 0.000 claims 1
- 240000008042 Zea mays Species 0.000 claims 1
- 235000016383 Zea mays subsp huehuetenangensis Nutrition 0.000 claims 1
- 235000002017 Zea mays subsp mays Nutrition 0.000 claims 1
- 235000009973 maize Nutrition 0.000 claims 1
- 235000009566 rice Nutrition 0.000 claims 1
- 238000004088 simulation Methods 0.000 claims 1
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01H—NEW PLANTS OR NON-TRANSGENIC PROCESSES FOR OBTAINING THEM; PLANT REPRODUCTION BY TISSUE CULTURE TECHNIQUES
- A01H1/00—Processes for modifying genotypes ; Plants characterised by associated natural traits
- A01H1/04—Processes of selection involving genotypic or phenotypic markers; Methods of using phenotypic markers for selection
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- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
- C12Q1/6888—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms
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- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
- C12Q1/6888—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms
- C12Q1/6895—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms for plants, fungi or algae
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
- G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B5/00—ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks
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- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
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- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/124—Animal traits, i.e. production traits, including athletic performance or the like
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- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/13—Plant traits
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- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/156—Polymorphic or mutational markers
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
- G16B20/40—Population genetics; Linkage disequilibrium
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- Bioinformatics & Cheminformatics (AREA)
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- Proteomics, Peptides & Aminoacids (AREA)
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- Environmental Sciences (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Claims (23)
1. Способ отбора индивидов в селекционной программе, при этом указанный способ включает:
создание оптимизированной оценочной совокупности данных путем: (i) отбора кандидата для фенотипирования из совокупности кандидатов и помещения кандидата в оценочную совокупность данных, где указанная информация о генотипе доступна для кандидата; (ii) оценивания точности расчетных геномных индексов селекционной ценности для кандидата, (iii) перемещения кандидата в оптимизированную оценочную совокупность данных только в том случае, если точность расчетного геномного индекса селекционной ценности для данного кандидата выше, чем для других кандидатов в совокупности кандидатов; и (iv) продолжения выполнения стадий (i)-(iii) до получения оптимизированной оценочной совокупности данных;
фенотипирование кандидатов в оптимизированной оценочной совокупности данных;
генотипирование размножающихся индивидов по множеству маркеров;
получение расчетных геномных индексов селекционной ценности для размножающихся индивидов с использованием фенотипов и генотипов кандидатов в оптимизированной оценочной совокупности данных и
отбор размножающихся индивидов на основании расчетных геномных индексов селекционной ценности.
2. Способ по п. 1, дополнительно включающий скрещивание указанных отобранных размножающихся индивидов.
3. Способ по п. 1, где указанную информацию о генотипе для кандидата получают посредством генотипирования или применения имитационного моделирования по методу Монте-Карло.
4. Способ по п. 1, где указанные размножающиеся индивиды являются гомозиготными.
5. Способ по п. 1, где указанными размножающимися индивидами являются растения.
6. Способ по п. 5, где указанное растение выбрано из группы, состоящей из: маиса, сои, подсолнечника, сорго, канолы, пшеницы, люцерны, хлопчатника, риса, ячменя, проса обыкновенного, сахарного тростника и проса прутьевидного.
7. Способ по п. 1, где указанными размножающимися индивидами являются животные.
8. Способ по п. 1, где указанную точность расчетных геномных индексов селекционной ценности рассчитывают при помощи математической формулы, в которую вводят информацию о маркерах для кандидатов из совокупности кандидатов и информацию о маркерах для родителей одной или нескольких популяций, образующих целевой объект прогнозирования.
9. Способ по п. 8, где целевой объект прогнозирования состоит из одной популяции.
10. Способ по п. 9, где указанную точность расчетных геномных индексов селекционной ценности определяют при помощи следующей формулы:
11. Способ по п. 8, где целевой объект прогнозирования состоит из более чем одной популяции.
12. Способ по п. 11, где указанную точность расчетных геномных индексов селекционной ценности определяют при помощи
13. Способ по п. 8, где целевой объект прогнозирования состоит из большого числа популяций.
14. Способ по п. 13, где точность 
заменяют надежностью 
, которую определяют как
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201361921216P | 2013-12-27 | 2013-12-27 | |
| US61/921,216 | 2013-12-27 | ||
| PCT/US2014/071889 WO2015100236A1 (en) | 2013-12-27 | 2014-12-22 | Improved molecular breeding methods |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| RU2016130577A true RU2016130577A (ru) | 2018-02-01 |
Family
ID=52432916
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| RU2016130577A RU2016130577A (ru) | 2013-12-27 | 2014-12-22 | Улучшенные способы молекулярной селекции |
Country Status (11)
| Country | Link |
|---|---|
| US (1) | US20160321396A1 (ru) |
| EP (1) | EP3086633B1 (ru) |
| CN (1) | CN106028794B (ru) |
| AU (1) | AU2014370029B2 (ru) |
| BR (1) | BR112016015033B1 (ru) |
| CA (1) | CA2932507C (ru) |
| MX (1) | MX2016008461A (ru) |
| PH (1) | PH12016501255A1 (ru) |
| RU (1) | RU2016130577A (ru) |
| WO (1) | WO2015100236A1 (ru) |
| ZA (1) | ZA201603680B (ru) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11980147B2 (en) | 2014-12-18 | 2024-05-14 | Pioneer Hi-Bred International Inc. | Molecular breeding methods |
| CN107278877B (zh) * | 2017-07-25 | 2019-10-22 | 山东省农业科学院玉米研究所 | 一种玉米出籽率的全基因组选择育种方法 |
| MY197312A (en) * | 2017-11-22 | 2023-06-13 | Felda Agricultural Services Sdn Bhd | Method and system for selecting a plant breed |
| CN113412333A (zh) | 2019-03-11 | 2021-09-17 | 先锋国际良种公司 | 用于克隆植物生产的方法 |
| US11174522B2 (en) | 2019-03-11 | 2021-11-16 | Pioneer Hi-Bred International, Inc. | Methods and compositions for imputing or predicting genotype or phenotype |
| CN111291931B (zh) * | 2020-02-05 | 2022-05-20 | 傲网信息科技（厦门）有限公司 | 动物育种预测方法、装置、电子设备和存储介质 |
| AU2021261379A1 (en) * | 2020-04-23 | 2022-11-17 | Inari Agriculture Technology, Inc. | Methods and systems for using envirotype in genomic selection |
| US20230154623A1 (en) * | 2021-11-17 | 2023-05-18 | Fetch Insurance Services, Inc. | Techniques for predicting diseases using simulations improved via machine learning |
| CN114912040A (zh) * | 2022-04-19 | 2022-08-16 | 中国农业科学院作物科学研究所 | 育种处理方法、装置及计算机可读存储介质 |
| CN115316266B (zh) * | 2022-09-05 | 2023-09-08 | 新疆农垦科学院 | 一种作物群体改良和品种选育方法 |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080163824A1 (en) * | 2006-09-01 | 2008-07-10 | Innovative Dairy Products Pty Ltd, An Australian Company, Acn 098 382 784 | Whole genome based genetic evaluation and selection process |
-
2014
- 2014-12-22 EP EP14831132.7A patent/EP3086633B1/en active Active
- 2014-12-22 BR BR112016015033-3A patent/BR112016015033B1/pt active IP Right Grant
- 2014-12-22 CN CN201480076351.9A patent/CN106028794B/zh active Active
- 2014-12-22 CA CA2932507A patent/CA2932507C/en active Active
- 2014-12-22 RU RU2016130577A patent/RU2016130577A/ru not_active Application Discontinuation
- 2014-12-22 AU AU2014370029A patent/AU2014370029B2/en active Active
- 2014-12-22 MX MX2016008461A patent/MX2016008461A/es active IP Right Grant
- 2014-12-22 WO PCT/US2014/071889 patent/WO2015100236A1/en active Application Filing
- 2014-12-22 US US15/108,425 patent/US20160321396A1/en active Pending
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2016
- 2016-05-30 ZA ZA2016/03680A patent/ZA201603680B/en unknown
- 2016-06-24 PH PH12016501255A patent/PH12016501255A1/en unknown
Also Published As
| Publication number | Publication date |
|---|---|
| MX2016008461A (es) | 2016-10-28 |
| EP3086633B1 (en) | 2020-02-26 |
| CA2932507A1 (en) | 2015-07-02 |
| AU2014370029B2 (en) | 2020-05-28 |
| CN106028794A (zh) | 2016-10-12 |
| CA2932507C (en) | 2022-06-28 |
| BR112016015033A2 (ru) | 2017-08-08 |
| AU2014370029A1 (en) | 2016-06-16 |
| PH12016501255A1 (en) | 2016-08-15 |
| WO2015100236A1 (en) | 2015-07-02 |
| EP3086633A1 (en) | 2016-11-02 |
| CN106028794B (zh) | 2020-07-28 |
| ZA201603680B (en) | 2017-11-29 |
| US20160321396A1 (en) | 2016-11-03 |
| BR112016015033B1 (pt) | 2022-09-06 |
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