diff --git a/NEWS.md b/NEWS.md
index d69f974..996d7bb 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,7 @@
 # mFD (development version)
+* Traits names in the tr_cat dataframe must be the same that in the sp_tr
+dataframe: otherwise can lead to bugs if using weights: check.sp.tr()
+* Add a sentence explaining that in the General Workflow vignette
 
 # mFD 1.0.6
 * Fix bug:
diff --git a/R/check_inputs.R b/R/check_inputs.R
index b575777..7583f56 100644
--- a/R/check_inputs.R
+++ b/R/check_inputs.R
@@ -113,9 +113,10 @@ check.sp.tr <- function(sp_tr, tr_cat = NULL, stop_if_NA = TRUE) {
            "traits x category data frame. Please check.")
     }
     
-    if (any(sort(names(sp_tr)) != sort(tr_cat$"trait_name"))) {
+    if (any(names(sp_tr) != tr_cat$"trait_name")) {
       stop("Trait names differ between species x traits data frame and ",
-           "traits x category data frame. Please check.")
+           "traits x category data frame or are not in the ame order. 
+           Please check.")
     }
   }
   
diff --git a/vignettes/mFD_general_workflow.Rmd b/vignettes/mFD_general_workflow.Rmd
index 5087ea6..ad05969 100644
--- a/vignettes/mFD_general_workflow.Rmd
+++ b/vignettes/mFD_general_workflow.Rmd
@@ -106,13 +106,10 @@ knitr::include_graphics("basic_framework.PNG")
 <br />
 
 The first thing to do before starting analyses is to know your data. To do so,
-you must be able to characterize the traits you are using (*i.e.* tell the
-package what type of traits you are using). That is why `mFD` package needs a
-data frame summarizing the type of each trait (*i.e.* each column of the
-`fruits_traits` data frame).
+you must be able to characterize the traits you are using (*i.e.* tell the package what type of traits you are using). That is why `mFD` package needs a data frame summarizing the type of each trait (*i.e.* each column of the `fruits_traits` data frame).
 
-**NB** You need to set up a data frame with the same columns names as the below
-example:
+**NB** You need to set up a data frame with the same columns names as the below example and traits names need to be in the same order as in
+the `fruits_traits` data frame: