Understanding the biological processes and gene network pathways and their relationship with the host microbiota that directly affect complex fertility traits and embryo survival in beef cattle.
Understanding the biological processes and gene network pathways and their relationship with the host microbiota that directly affect complex fertility traits and embryo survival in beef cattle.
批准号:
RGPIN-2017-05194
负责人:
Canovas, Angela
金额:
$1.68万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31
中文摘要
胚胎存活率是影响牛生产系统繁殖力和经济效益的主要因素之一。在牛中,大多数胚胎损失发生在育种后第16天之前,有证据表明在第8天之前损失更大。晚期胚胎损失虽然在数字上小于早期胚胎死亡率,但对生产者造成严重的经济损失,因为当雌性重复发情时,再繁殖往往为时已晚。尽管对胚胎存活进行了数十年的研究,但人们对决定性状及其确切功能的基因知之甚少。因此,更全面地了解牛重要经济性状的基因、调控途径和网络,将为通过遗传选择和繁殖管理提高生育力提供知识。最近关于牛生育力的研究已经检查了子宫中与受胎率相关的几个基因的表达。此外,基因组工具,如使用牛高密度芯片(Illumina)的基因分型已被纳入遗传评价,确定与牛的生育力和妊娠相关的特定基因型和性状之间的几种关联。然而,在减少牛胚胎损失方面取得的遗传进展最小。此前,研究人员使用细胞培养技术研究了子宫微生物群,报告称子宫是一个无菌环境,忽略了该技术的局限性,该技术只能培养一些特定的细菌。有趣的是,宏基因组学或使用高通量水平的细菌谱研究尚未用于研究微生物群对早期胚胎丢失的影响。* 本研究计划旨在通过比较“妊娠”和“非妊娠”奶牛,进一步了解牛胚胎存活和妊娠建立的基本原理。这项研究预计将导致识别关键调控基因(和功能SNP)以及影响胚胎存活的因果网络和代谢途径。最先进的方法将是整合来自新的高通量OMICS技术的结构和功能基因组数据(即,转录组学(RNA-Seq),代谢组学(GC-MS,NMR)和宏基因组学(微生物种群的16 S(细菌,古细菌)和18 S(原生动物,真菌)测序),请记住,这些方法无疑会随着时间的推移而发展,因为我们试图整合与胚胎存活相关的各种生物过程。这些知识可以被纳入育种计划,以提高遗传进展的速度,从而提高胚胎存活率。这项工作还将有助于培养高素质的学生和人员,并对其他牲畜物种和人类产生影响。
英文摘要
Embryo survival is one of the major factors affecting fertility and economic efficiency in cattle production systems. In cattle, most embryonic loss occurs before day 16 after breeding with some evidence of greater losses before day 8. Late embryonic loss, while numerically smaller than early embryonic mortality, nevertheless causes serious economic losses to producers because it is often too late to rebreed females when they repeat estrous.*** Despite decades of research on embryo survival, little is known about the genes determining the traits and their precise function. Therefore, a more complete understanding of the genes, regulatory pathways and networks involved in economically important traits in cattle will provide the knowledge to improve fertility by genetic selection and reproductive management. Recent studies on cattle fertility have examined the expression of several genes in the uterus related to conception rate. Also, genomic tools such as genotyping using the Bovine High-Density Chip (Illumina) have been incorporated into the genetic evaluations identifying several associations between specific genotypes and traits related to fertility and pregnancy in cattle. However, minimum genetic progress to reduce cattle embryo loss has been made. Previously, researchers studied the uterus microbiota using cell culture techniques reporting that the uterus is a sterile environment, overlooking the limitation of the technique which only is capable of culturing some specific bacteria. Interestingly, metagenomics or the study of the bacteria profile using high-throughput level has not been yet been used to examine effects of the microbiota on early embryonic loss. *** This program of research is designed to provide further insight into the underlying fundamentals of cattle embryo survival and the establishment of pregnancy by comparing “Pregnant” and “Non Pregnant” cows. This research is expected to lead to the identification of key regulator genes (and functional SNP) as well as causal networks and metabolic pathways affecting embryo survival. The state-of-the-art approach will be to integrate structural and functional genomic data from new high-throughput OMICS technologies (i.e., transcriptomics (RNA-Seq), metabolomics (GC-MS, NMR) and metagenomics (16S (bacterial, archaeal) and 18S (protozoa, fungal) sequencing of microbe populations), keeping in mind that these methods will no doubt evolve over time as we attempt to integrate the various biological processes associated with embryo survival. This knowledge could be incorporated into breeding programs to increase the rate of genetic progress to improve embryo survival. This work will also contribute to training of highly qualified students and personnel, and has implications for other livestock species and humans.
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Understanding the genetic relationship between fertility and feed efficiency traits and its pleiotropic effect in cattle
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批准号:RGPIN-2022-04999
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项目类别:Discovery Grants Program - Individual
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资助金额:$3.42万
-
财政年份:2022
-
负责人:Canovas, Angela
-
依托单位:
Understanding the biological processes and gene network pathways and their relationship with the host microbiota that directly affect complex fertility traits and embryo survival in beef cattle.
-
批准号:RGPIN-2017-05194
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.68万
-
财政年份:2021
-
负责人:Canovas, Angela
-
依托单位:
Understanding the biological processes and gene network pathways and their relationship with the host microbiota that directly affect complex fertility traits and embryo survival in beef cattle.
-
批准号:RGPIN-2017-05194
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.68万
-
财政年份:2020
-
负责人:Canovas, Angela
-
依托单位:
Use of-omics technologies toward profitability and beef consumers' satisfaction
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批准号:505544-2016
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项目类别:Collaborative Research and Development Grants
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资助金额:$8.32万
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财政年份:2018
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负责人:Canovas, Angela
-
依托单位:
Understanding the biological processes and gene network pathways and their relationship with the host microbiota that directly affect complex fertility traits and embryo survival in beef cattle.
-
批准号:RGPIN-2017-05194
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.68万
-
财政年份:2018
-
负责人:Canovas, Angela
-
依托单位:
Use of-omics technologies toward profitability and beef consumers' satisfaction
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批准号:505544-2016
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项目类别:Collaborative Research and Development Grants
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资助金额:$12.07万
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财政年份:2017
-
负责人:Canovas, Angela
-
依托单位:
Understanding the biological processes and gene network pathways and their relationship with the host microbiota that directly affect complex fertility traits and embryo survival in beef cattle.
-
批准号:RGPIN-2017-05194
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.68万
-
财政年份:2017
-
负责人:Canovas, Angela
-
依托单位:
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