Autozygosity islands and ROH patterns in Nellore lineages: evidence of selection for functionally important traits.

Abstract Background The aim of this study was to assess genome-wide autozygosity in a Nellore cattle population and to characterize ROH patterns and autozygosity islands that may have occurred due to selection within its lineages. It attempts also to compare estimates of inbreeding calculated from ROH (FROH), genomic relationship matrix (FGRM), and pedigree-based coefficient (FPED). Results The average number of ROH per animal was 55.15&#8201;±&#8201;13.01 with an average size of 3.24 Mb. The Nellore genome is composed mostly by a high number of shorter segments accounting for 78% of all ROH, although the proportion of the genome covered by them was relatively small. The genome autozygosity proportion indicates moderate to high inbreeding levels for classical standards, with an average value of 7.15% (178.70 Mb). The average of FPED and FROH, and their correlations (&#8722;&#8201;0.05 to 0.26) were low. Estimates of correlation between FGRM-FPED was zero, while the correlation (&#8722;&#8201;0.01 to &#8722;&#8201;0.07) between FGRM-FROH decreased as a function of ROH length, except for FROH&#8201;>&#8201;8Mb (&#8722;&#8201;0.03). Overall, inbreeding coefficients were not high for the genotyped animals. Autozygosity islands were evident across the genome (n&#8201;=&#8201;62) and their genomic location did not largely differ within lineages. Enriched terms (p&#8201;<&#8201;0.01) associated with defense response to bacteria (GO:0042742), immune complex reaction (GO:0045647), pregnancy-associated glycoproteins genes (GO:0030163), and organism growth (GO:0040014) were described within the autozygotic islands. Conclusions Low FPED-FROH correlation estimates indicate that FPED is not the most suitable method for capturing ancient inbreeding when the pedigree does not extend back many generations and FROH should be used instead. Enriched terms (p <&#8201;0.01) suggest a strong selection for immune response. Non-overlapping islands within the lineages greatly explain the mechanism underlying selection for functionally important traits in Nellore cattle.

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Main Authors: PERIPOLLI, E., METZGER, J., LEMOS, M. V. A. de, STAFUZZA, N. B., KLUSKA, S., OLIVIERI, B. F., FEITOSA, F. L. B., BERTON, M. P., LOPES, F. B., MUNARI, D. P., LOBO, R. B., MAGNABOSCO, C. de U., DI CROCE, F., OSTERSTOCK, J., DENISE, S., PEREIRA, A. S. C., BALDI, F.
Other Authors: ELISA PERIPOLLI, UNESP; JULIA METZGER, University of Veterinary Medicine Hannover; MARCOS VINICIUS ANTUNES DE LEMOS, UNESP; NEDENIA BONVINOSTAFUZZA, UNESP; SABRINA KLUSKA, UNESP; BIANCA FERREIRA OLIVIERI, UNESP; FABIELI LOUISE BRAGA FEITOSA, UNESP; MARIANA PIATTO BERTON, UNESP; FERNANDO BRITO LOPES, UNESP; DANISIO PRADO MUNARI, UNESP; RAYSILDO BARBOSA LOBO, Associação Nacional de Criadores e Pesquisadores; CLAUDIO DE ULHOA MAGNABOSCO, CPAC; FERNANDO DI CROCE, Zoetis; JASON OSTERSTOCK, Zoetis; SUE DENISE, Zoetis; ANGELICA SIMONE CRAVO PEREIRA, USP; FERNANDO BALDI, UNESP.
Format: Artigo de periódico biblioteca
Language:English
eng
Published: 2018-12-12
Subjects:Padroes ROH, Endogamia, Gado Nelore, Genoma, Genética Animal, Homozygosity,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1101339
https://dx.doi.org/10.1186%2Fs12864-018-5060-8
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spelling dig-alice-doc-11013392018-12-13T00:10:54Z Autozygosity islands and ROH patterns in Nellore lineages: evidence of selection for functionally important traits. PERIPOLLI, E. METZGER, J. LEMOS, M. V. A. de STAFUZZA, N. B. KLUSKA, S. OLIVIERI, B. F. FEITOSA, F. L. B. BERTON, M. P. LOPES, F. B. MUNARI, D. P. LOBO, R. B. MAGNABOSCO, C. de U. DI CROCE, F. OSTERSTOCK, J. DENISE, S. PEREIRA, A. S. C. BALDI, F. ELISA PERIPOLLI, UNESP; JULIA METZGER, University of Veterinary Medicine Hannover; MARCOS VINICIUS ANTUNES DE LEMOS, UNESP; NEDENIA BONVINOSTAFUZZA, UNESP; SABRINA KLUSKA, UNESP; BIANCA FERREIRA OLIVIERI, UNESP; FABIELI LOUISE BRAGA FEITOSA, UNESP; MARIANA PIATTO BERTON, UNESP; FERNANDO BRITO LOPES, UNESP; DANISIO PRADO MUNARI, UNESP; RAYSILDO BARBOSA LOBO, Associação Nacional de Criadores e Pesquisadores; CLAUDIO DE ULHOA MAGNABOSCO, CPAC; FERNANDO DI CROCE, Zoetis; JASON OSTERSTOCK, Zoetis; SUE DENISE, Zoetis; ANGELICA SIMONE CRAVO PEREIRA, USP; FERNANDO BALDI, UNESP. Padroes ROH Endogamia Gado Nelore Genoma Genética Animal Homozygosity Abstract Background The aim of this study was to assess genome-wide autozygosity in a Nellore cattle population and to characterize ROH patterns and autozygosity islands that may have occurred due to selection within its lineages. It attempts also to compare estimates of inbreeding calculated from ROH (FROH), genomic relationship matrix (FGRM), and pedigree-based coefficient (FPED). Results The average number of ROH per animal was 55.15&#8201;±&#8201;13.01 with an average size of 3.24 Mb. The Nellore genome is composed mostly by a high number of shorter segments accounting for 78% of all ROH, although the proportion of the genome covered by them was relatively small. The genome autozygosity proportion indicates moderate to high inbreeding levels for classical standards, with an average value of 7.15% (178.70 Mb). The average of FPED and FROH, and their correlations (&#8722;&#8201;0.05 to 0.26) were low. Estimates of correlation between FGRM-FPED was zero, while the correlation (&#8722;&#8201;0.01 to &#8722;&#8201;0.07) between FGRM-FROH decreased as a function of ROH length, except for FROH&#8201;>&#8201;8Mb (&#8722;&#8201;0.03). Overall, inbreeding coefficients were not high for the genotyped animals. Autozygosity islands were evident across the genome (n&#8201;=&#8201;62) and their genomic location did not largely differ within lineages. Enriched terms (p&#8201;<&#8201;0.01) associated with defense response to bacteria (GO:0042742), immune complex reaction (GO:0045647), pregnancy-associated glycoproteins genes (GO:0030163), and organism growth (GO:0040014) were described within the autozygotic islands. Conclusions Low FPED-FROH correlation estimates indicate that FPED is not the most suitable method for capturing ancient inbreeding when the pedigree does not extend back many generations and FROH should be used instead. Enriched terms (p <&#8201;0.01) suggest a strong selection for immune response. Non-overlapping islands within the lineages greatly explain the mechanism underlying selection for functionally important traits in Nellore cattle. 2018-12-13T00:10:48Z 2018-12-13T00:10:48Z 2018-12-12 2018 2018-12-13T00:10:48Z Artigo de periódico BMC Genomics, v. 19, 680, 2018. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1101339 https://dx.doi.org/10.1186%2Fs12864-018-5060-8 en eng openAccess
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language English
eng
topic Padroes ROH
Endogamia
Gado Nelore
Genoma
Genética Animal
Homozygosity
Padroes ROH
Endogamia
Gado Nelore
Genoma
Genética Animal
Homozygosity
spellingShingle Padroes ROH
Endogamia
Gado Nelore
Genoma
Genética Animal
Homozygosity
Padroes ROH
Endogamia
Gado Nelore
Genoma
Genética Animal
Homozygosity
PERIPOLLI, E.
METZGER, J.
LEMOS, M. V. A. de
STAFUZZA, N. B.
KLUSKA, S.
OLIVIERI, B. F.
FEITOSA, F. L. B.
BERTON, M. P.
LOPES, F. B.
MUNARI, D. P.
LOBO, R. B.
MAGNABOSCO, C. de U.
DI CROCE, F.
OSTERSTOCK, J.
DENISE, S.
PEREIRA, A. S. C.
BALDI, F.
Autozygosity islands and ROH patterns in Nellore lineages: evidence of selection for functionally important traits.
description Abstract Background The aim of this study was to assess genome-wide autozygosity in a Nellore cattle population and to characterize ROH patterns and autozygosity islands that may have occurred due to selection within its lineages. It attempts also to compare estimates of inbreeding calculated from ROH (FROH), genomic relationship matrix (FGRM), and pedigree-based coefficient (FPED). Results The average number of ROH per animal was 55.15&#8201;±&#8201;13.01 with an average size of 3.24 Mb. The Nellore genome is composed mostly by a high number of shorter segments accounting for 78% of all ROH, although the proportion of the genome covered by them was relatively small. The genome autozygosity proportion indicates moderate to high inbreeding levels for classical standards, with an average value of 7.15% (178.70 Mb). The average of FPED and FROH, and their correlations (&#8722;&#8201;0.05 to 0.26) were low. Estimates of correlation between FGRM-FPED was zero, while the correlation (&#8722;&#8201;0.01 to &#8722;&#8201;0.07) between FGRM-FROH decreased as a function of ROH length, except for FROH&#8201;>&#8201;8Mb (&#8722;&#8201;0.03). Overall, inbreeding coefficients were not high for the genotyped animals. Autozygosity islands were evident across the genome (n&#8201;=&#8201;62) and their genomic location did not largely differ within lineages. Enriched terms (p&#8201;<&#8201;0.01) associated with defense response to bacteria (GO:0042742), immune complex reaction (GO:0045647), pregnancy-associated glycoproteins genes (GO:0030163), and organism growth (GO:0040014) were described within the autozygotic islands. Conclusions Low FPED-FROH correlation estimates indicate that FPED is not the most suitable method for capturing ancient inbreeding when the pedigree does not extend back many generations and FROH should be used instead. Enriched terms (p <&#8201;0.01) suggest a strong selection for immune response. Non-overlapping islands within the lineages greatly explain the mechanism underlying selection for functionally important traits in Nellore cattle.
author2 ELISA PERIPOLLI, UNESP; JULIA METZGER, University of Veterinary Medicine Hannover; MARCOS VINICIUS ANTUNES DE LEMOS, UNESP; NEDENIA BONVINOSTAFUZZA, UNESP; SABRINA KLUSKA, UNESP; BIANCA FERREIRA OLIVIERI, UNESP; FABIELI LOUISE BRAGA FEITOSA, UNESP; MARIANA PIATTO BERTON, UNESP; FERNANDO BRITO LOPES, UNESP; DANISIO PRADO MUNARI, UNESP; RAYSILDO BARBOSA LOBO, Associação Nacional de Criadores e Pesquisadores; CLAUDIO DE ULHOA MAGNABOSCO, CPAC; FERNANDO DI CROCE, Zoetis; JASON OSTERSTOCK, Zoetis; SUE DENISE, Zoetis; ANGELICA SIMONE CRAVO PEREIRA, USP; FERNANDO BALDI, UNESP.
author_facet ELISA PERIPOLLI, UNESP; JULIA METZGER, University of Veterinary Medicine Hannover; MARCOS VINICIUS ANTUNES DE LEMOS, UNESP; NEDENIA BONVINOSTAFUZZA, UNESP; SABRINA KLUSKA, UNESP; BIANCA FERREIRA OLIVIERI, UNESP; FABIELI LOUISE BRAGA FEITOSA, UNESP; MARIANA PIATTO BERTON, UNESP; FERNANDO BRITO LOPES, UNESP; DANISIO PRADO MUNARI, UNESP; RAYSILDO BARBOSA LOBO, Associação Nacional de Criadores e Pesquisadores; CLAUDIO DE ULHOA MAGNABOSCO, CPAC; FERNANDO DI CROCE, Zoetis; JASON OSTERSTOCK, Zoetis; SUE DENISE, Zoetis; ANGELICA SIMONE CRAVO PEREIRA, USP; FERNANDO BALDI, UNESP.
PERIPOLLI, E.
METZGER, J.
LEMOS, M. V. A. de
STAFUZZA, N. B.
KLUSKA, S.
OLIVIERI, B. F.
FEITOSA, F. L. B.
BERTON, M. P.
LOPES, F. B.
MUNARI, D. P.
LOBO, R. B.
MAGNABOSCO, C. de U.
DI CROCE, F.
OSTERSTOCK, J.
DENISE, S.
PEREIRA, A. S. C.
BALDI, F.
format Artigo de periódico
topic_facet Padroes ROH
Endogamia
Gado Nelore
Genoma
Genética Animal
Homozygosity
author PERIPOLLI, E.
METZGER, J.
LEMOS, M. V. A. de
STAFUZZA, N. B.
KLUSKA, S.
OLIVIERI, B. F.
FEITOSA, F. L. B.
BERTON, M. P.
LOPES, F. B.
MUNARI, D. P.
LOBO, R. B.
MAGNABOSCO, C. de U.
DI CROCE, F.
OSTERSTOCK, J.
DENISE, S.
PEREIRA, A. S. C.
BALDI, F.
author_sort PERIPOLLI, E.
title Autozygosity islands and ROH patterns in Nellore lineages: evidence of selection for functionally important traits.
title_short Autozygosity islands and ROH patterns in Nellore lineages: evidence of selection for functionally important traits.
title_full Autozygosity islands and ROH patterns in Nellore lineages: evidence of selection for functionally important traits.
title_fullStr Autozygosity islands and ROH patterns in Nellore lineages: evidence of selection for functionally important traits.
title_full_unstemmed Autozygosity islands and ROH patterns in Nellore lineages: evidence of selection for functionally important traits.
title_sort autozygosity islands and roh patterns in nellore lineages: evidence of selection for functionally important traits.
publishDate 2018-12-12
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1101339
https://dx.doi.org/10.1186%2Fs12864-018-5060-8
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