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Population genomics of marine zooplankton
Authors
A Biscontin
A Bucklin
+241 more
A Bucklin
A Bucklin
A Bucklin
A Bucklin
A Bucklin
A Bucklin
A Bucklin
A Cornils
A Levasseur
A Weydmann
A Whitehead
AA Ramos
AA Thabet
AB Kohn
AE Maas
AM Reitzel
AM Tarrant
AR Longhurst
B Meyer
B Miller
B Nilsson
B Planque
B Young de
BE Deagle
BK Peterson
BR Foley
BY Lee
C Castellani
C Hahn
C Lauritano
C Papetti
C Papot
C Pittà De
C Riginos
C Schlötterer
C Schunter
C Sun
C Sun
C Vargas de
CC Caudill
CD Prokopowich
CDH Sherman
CE Lee
CE Lee
CL Ames
CR Voolstra
D Abad
D Papillon
D-S Hwang
DE Schindel
DL Crawford
DN Kulagin
DO Hessen
DPL Toews
E Bortolotto
E Faure
E Goetze
E Goetze
E Goetze
E Hodges
E Kayal
E Petkeviciute
E Unal
EE Nielsen
EJ Yang
EJH Head
EL Norton
EM Rasch
F Alberto
F Carlotti
F Denoeud
F Dufresne
F Li
F Marlétaz
FS Barreto
G Beaugrand
G Chen
G Chen
G Chust
G Drillet
G Luikart
G Sales
G Tsagkogeorga
GA Wyngaard
GA Wyngaard
GA Wyngaard
Genome 10K Community of Scientists
GH Pogson
GIGA Community of Scientists
H Ellegren
H Miyamoto
H Miyamoto
HM Bik
HM Galindo
HP Leinaas
HR Skjoldal
HS Kim
HS Kim
HY Koh
I Smolina
I Smolina
I Smolina
i5K Consortium
IA McLaren
IA McLaren
IG Romero
J Bailey
J Hemmer-Hansen
J Hirai
J Hirai
J Provan
J Rahlff
J Stapley
JC Avise
JC Avise
JC Havird
JE Bron
Jennifer Marie Questel
JF O’Grady
JF Ryan
JK Pearman
JL Davey
JS Ki
JS Ki
JT Kool
JY Toullec
K Alfsnes
K Ogoh
K Stopar
K Wang
K Weersing
KG Helfenbein
KM Johnson
KR Andrews
KTCA Peijnenburg
KTCA Peijnenburg
KTCA Peijnenburg
KTCA Peijnenburg
L Blanco-Bercial
L Blanco-Bercial
L Excoffier
L Excoffier
L Zane
L Zane
L Zane
Leocadio Blanco-Bercial
LL Knowles
LL Moroz
LN Papadopoulos
M Baratti
M Choquet
M Foll
M Iacchei
M Kuriyama
M Lechner
M Leray
M Omori
M-A Madoui
ME Cristescu
ME Hellberg
MM Hansen
MN Dawson
MR Jones
MS Clark
N Bierne
N Bierne
NA Baird
NK Jue
NW Jeffery
NW Jeffery
NW Jeffery
O Savolainen
ONS Aarbakke
ONS Aarbakke
P Beerli
P Gayral
P Li
P Wit De
P Wit De
PA Gagnaire
PA Gagnaire
PD Rawson
PG Batta-Lona
PG Batta-Lona
PH Lenz
PH Wiebe
PH Wiebe
PH Wiebe
PJ Milligan
PK Lindeque
PM Jepsen
PW Hedrick
R Ekblom
R Escribano
R Saborowski
RJ Elshire
RJ Machida
RJ Pereira
RJ Pereira
RK Cowen
RS Burton
RS Burton
RS Waples
RS Waples
S Bolte
S Edmands
S Eyun
S Falk-Petersen
S Kang
S Kim
S Kim
S Kollias
S Laakmann
S Raisuddin
S Renaut
S Wang
S Wei
SA Levin
SD Schoville
SJ Helyar
SM Bybee
SM Francisco
SN Jarman
SO Jung
SR Narum
T Maricic
TA Elliott
TG Lima
TM McGovern
Tomaso Patarnello
TR Gregory
TR Gregory
V Brekhman
V Siegel
W Minxiao
W Pett
WC Black
X Shen
X Shen
Y Li
Z Shao
Publication date
22 August 2017
Publisher
'Springer Science and Business Media LLC'
Doi
Abstract
Author Posting. © The Author(s), 2017. This is the author's version of the work. It is posted here for personal use, not for redistribution. The definitive version was published in Bucklin, Ann et al. "Population Genomics of Marine Zooplankton." Population Genomics: Marine Organisms. Ed. Om P. Rajora and Marjorie Oleksiak. Springer, 2018. doi:10.1007/13836_2017_9.The exceptionally large population size and cosmopolitan biogeographic distribution that distinguish many – but not all – marine zooplankton species generate similarly exceptional patterns of population genetic and genomic diversity and structure. The phylogenetic diversity of zooplankton has slowed the application of population genomic approaches, due to lack of genomic resources for closelyrelated species and diversity of genomic architecture, including highly-replicated genomes of many crustaceans. Use of numerous genomic markers, especially single nucleotide polymorphisms (SNPs), is transforming our ability to analyze population genetics and connectivity of marine zooplankton, and providing new understanding and different answers than earlier analyses, which typically used mitochondrial DNA and microsatellite markers. Population genomic approaches have confirmed that, despite high dispersal potential, many zooplankton species exhibit genetic structuring among geographic populations, especially at large ocean-basin scales, and have revealed patterns and pathways of population connectivity that do not always track ocean circulation. Genomic and transcriptomic resources are critically needed to allow further examination of micro-evolution and local adaptation, including identification of genes that show evidence of selection. These new tools will also enable further examination of the significance of small-scale genetic heterogeneity of marine zooplankton, to discriminate genetic “noise” in large and patchy populations from local adaptation to environmental conditions and change.Support was provided by the US National Science Foundation to AB and RJO (PLR-1044982) and to RJO (MCB-1613856); support to IS and MC was provided by Nord University (Norway)
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