6533b820fe1ef96bd1279aed

RESEARCH PRODUCT

Characterization of the porcine seminal plasma proteome comparing ejaculate portions.

subject

description

Full identification of boar seminal plasma (SP) proteins remains challenging. This study aims to provide an extensive proteomic analysis of boar SP and to generate an accessible database of boar SP-proteome. A SP-pool (33 entire ejaculates/11 boars; 3 ejaculates/boar) was analyzed to characterize the boar SP-proteome. Twenty ejaculates (5 boars, 4 ejaculates/boar) collected in portions (P1: first 10 mL of sperm rich ejaculate fraction (SRF), P2: rest of SRF and P3: post-SRF) were analyzed to evaluate differentially expressed SP-proteins among portions. SP-samples were analyzed using a combination of SEC, 1-D SDS PAGE and NanoLC-ESI-MS/MS followed by functional bioinformatics. The identified proteins were quantified from normalized LFQ intensity data. A total of 536 SP-proteins were identified, 409 of them in Sus scrofa taxonomy (374 validated with amp;gt;-99% confidence). Barely 20 of the identified SP-proteins were specifically implicated in reproductive processes, albeit other SP proteins could be indirectly involved in functionality and fertility of boar spermatozoa. Thirty-four proteins (16 identified in S. scrofa taxonomy) were differentially expressed among ejaculate portions, 16 being over expressed and 18 under-expressed in Pl-P2 regarding to P3. This major proteome mapping of the boar SP provides a complex inventory of proteins with potential roles as sperm function- and fertility- biomarkers. Biological significance: This proteomic study provides the major characterization of the boar SP-proteome with amp;gt;250 proteins first reported. The boar SP-proteome is described so that a spectral library can be built for relative label free protein quantification with SWATH approach. This proteomic profiling allows the creation of a publicly accessible database of the boar SP-proteome, as a first step for further understanding the role of SP-proteins in reproductive outcomes as well as for the identification of biomarkers for sperm quality and fertility. (C) 2016 Elsevier B.V. All rights reserved. Funding Agencies|MINECO Madrid (Spain); FEDER funds (EU) Madrid (Spain) [AGL2012-39903]; Seneca Foundation Murcia (Spain) [19892/GERM/15]; Swedish Research Council (VR) [521-2011-6353]; Swedish Research Council Formas [221-2011-512]; Research Council in Southeast Sweden (FORSS), Sweden [378091/312971]; Seneca Foundation (Murcia, Spain); MECD (Madrid, Spain)