diff --git a/PhysicsTools/NanoAOD/python/jets_cff.py b/PhysicsTools/NanoAOD/python/jets_cff.py
index 94474a8592e1a..89f4ef30977a0 100644
--- a/PhysicsTools/NanoAOD/python/jets_cff.py
+++ b/PhysicsTools/NanoAOD/python/jets_cff.py
@@ -229,7 +229,7 @@
         puId = Var("userInt('pileupJetId:fullId')",int,doc="Pileup ID flags for pre-UL trainings"),
         jetId = Var("userInt('tightId')*2+4*userInt('tightIdLepVeto')",int,doc="Jet ID flags bit1 is loose (always false in 2017 since it does not exist), bit2 is tight, bit3 is tightLepVeto"),
         qgl = Var("userFloat('qgl')",float,doc="Quark vs Gluon likelihood discriminator",precision=10),
-        nConstituents = Var("numberOfDaughters()",int,doc="Number of particles in the jet"),
+        nConstituents = Var("numberOfDaughters()","uint8",doc="Number of particles in the jet"),
         rawFactor = Var("1.-jecFactor('Uncorrected')",float,doc="1 - Factor to get back to raw pT",precision=6),
         chHEF = Var("chargedHadronEnergyFraction()", float, doc="charged Hadron Energy Fraction", precision= 6),
         neHEF = Var("neutralHadronEnergyFraction()", float, doc="neutral Hadron Energy Fraction", precision= 6),
@@ -463,8 +463,7 @@
 
 #        btagDeepC = Var("bDiscriminator('pfDeepCSVJetTags:probc')",float,doc="CMVA V2 btag discriminator",precision=10),
 #puIdDisc = Var("userFloat('pileupJetId:fullDiscriminant')",float,doc="Pileup ID discriminant",precision=10),
-#        nConstituents = Var("numberOfDaughters()",int,doc="Number of particles in the jet"),
-#        rawFactor = Var("1.-jecFactor('Uncorrected')",float,doc="1 - Factor to get back to raw pT",precision=6),
+        nConstituents = Var("numberOfDaughters()","uint8",doc="Number of particles in the jet"),
     ),
     externalVariables = cms.PSet(
         lsf3 = ExtVar(cms.InputTag("lepInJetVars:lsf3"),float, doc="Lepton Subjet Fraction (3 subjets)",precision=10),
@@ -493,6 +492,7 @@
 run2_miniAOD_80XLegacy.toModify( fatJetTable.variables, tau4 = None)
 run2_miniAOD_80XLegacy.toModify( fatJetTable.variables, n2b1 = None)
 run2_miniAOD_80XLegacy.toModify( fatJetTable.variables, n3b1 = None)
+(run2_nanoAOD_106Xv1 & ~run2_nanoAOD_devel).toModify( fatJetTable.variables, nConstituents = None)
 for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
   modifier.toModify( fatJetTable.variables, jetId = Var("userInt('tightId')*2+userInt('looseId')",int,doc="Jet ID flags bit1 is loose, bit2 is tight"))
 
diff --git a/PhysicsTools/NanoAOD/python/nanoDQM_cff.py b/PhysicsTools/NanoAOD/python/nanoDQM_cff.py
index 37c40fdfc93de..d0ad1967bfd61 100644
--- a/PhysicsTools/NanoAOD/python/nanoDQM_cff.py
+++ b/PhysicsTools/NanoAOD/python/nanoDQM_cff.py
@@ -66,6 +66,17 @@
 
 run2_miniAOD_80XLegacy.toModify(nanoDQM.vplots, IsoTrack = None)
 
+## no-change policy in run2_nanoAOD_106Xv1 (nanoAOD-v8)
+from Configuration.Eras.Modifier_run2_nanoAOD_106Xv1_cff import run2_nanoAOD_106Xv1
+from Configuration.Eras.Modifier_run2_nanoAOD_devel_cff import run2_nanoAOD_devel
+_fatjet_plots_nom = copy.deepcopy(nanoDQM.vplots.FatJet.plots)
+_fatjet_plots_106Xv1 = cms.VPSet()
+for plot in _fatjet_plots_nom:
+    if (plot.name.value() != "nConstituents"):
+        _fatjet_plots_106Xv1.append(plot)
+(run2_nanoAOD_106Xv1 & ~run2_nanoAOD_devel).toModify(nanoDQM.vplots.FatJet, plots = _fatjet_plots_106Xv1 )
+
+
 ## MC
 nanoDQMMC = nanoDQM.clone()
 nanoDQMMC.vplots.Electron.sels.Prompt = cms.string("genPartFlav == 1")
diff --git a/PhysicsTools/NanoAOD/python/nanoDQM_cfi.py b/PhysicsTools/NanoAOD/python/nanoDQM_cfi.py
index d57921df07b30..2e8f31021b7a4 100644
--- a/PhysicsTools/NanoAOD/python/nanoDQM_cfi.py
+++ b/PhysicsTools/NanoAOD/python/nanoDQM_cfi.py
@@ -162,6 +162,7 @@
                 NoPlot('muonIdx3SJ'),
                 Plot1D('n2b1', 'n2b1', 20, 0, 1, 'N2 (beta=1)'),
                 Plot1D('n3b1', 'n3b1', 20, 0, 5, 'N3 (beta=1)'),
+                Plot1D('nConstituents', 'nConstituents', 20, 0, 80, 'Number of particles in the jet'),
                 Plot1D('nBHadrons', 'nBHadrons', 4, -0.5, 3.5, 'number of b-hadrons'),
                 Plot1D('nCHadrons', 'nCHadrons', 4, -0.5, 3.5, 'number of c-hadrons'),
                 Plot1D('particleNetMD_QCD', 'particleNetMD_QCD', 20, 0, 1, 'Mass-decorrelated ParticleNet tagger raw QCD score'),