2022•BMC BiologyOpen access

Author Correction: Hidden genomic features of an invasive malaria vector, Anopheles stephensi, revealed by a chromosome-level genome assembly

Mahul Chakraborty, Arunachalam Ramaiah, Adriana Adolfi, Paige V. Halas, Bhagyashree Kaduskar, Luna Thanh Ngo, Suvratha Jayaprasad, Kiran Paul, Saurabh Whadgar, Subhashini Srinivasan, Suresh Ellappa Subramani, Ethan Bier, Anthony Amade James, J. J. Emerson

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Abstract

The original article [1] contained an error in Fig. 3 and omitted a Funding source which the authors would like to correct. Due to a labeling error in one of our Iso-Seq samples, the RNA sample that was collected 24h after blood feeding was labeled as 324 by the sequencing center because they unknowingly removed a separator between the replicate number and the sample name. The error resulted in a different ordering of categories than we would have chosen, though this doesn’t actually affect the interpretations we made in the manuscript. The corrected Fig. 3 can be viewed ahead in this correction article. Although the error does not affect any conclusion, it remains technically inaccurate and merits correction. We also did not acknowledge funding from the United States National Science Foundation (NSF) to J.J.E. for development of the sex chromosome inference approach. This is an important oversight, as NSF requires acknowledgment. The grant number is: NSF grant IOS-1656260.

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What this paper is about

The original article [1] contained an error in Fig. 3 and omitted a Funding source which the authors would like to correct. Due to a labeling error in one of our Iso-Seq samples, the RNA sample that was collected 24h after blood feeding was labeled as 324 by the sequencing center because they unknowingly removed a separator between the replicate number and the sample name. The error resulted in a different ordering of categories than we would have chosen, though this doesn’t actually affect the interpretations we made in the manuscript. The corrected Fig. 3 can be viewed ahead in this correction article. Although the error does not affect any conclusion, it remains technically inaccurate and merits correction. We also did not acknowledge funding from the United States National Science Foundation (NSF) to J.J.E. for development of the sex chromosome inference approach. This is an important oversight, as NSF requires acknowledgment. The grant number is: NSF grant IOS-1656260.

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Available abstract

The original article [1] contained an error in Fig. 3 and omitted a Funding source which the authors would like to correct. Due to a labeling error in one of our Iso-Seq samples, the RNA sample that was collected 24h after blood feeding was labeled as 324 by the sequencing center because they unknowingly removed a separator between the replicate number and the sample name. The error resulted in a different ordering of categories than we would have chosen, though this doesn’t actually affect the interpretations we made in the manuscript. The corrected Fig. 3 can be viewed ahead in this correction article. Although the error does not affect any conclusion, it remains technically inaccurate and merits correction. We also did not acknowledge funding from the United States National Science Foundation (NSF) to J.J.E. for development of the sex chromosome inference approach. This is an important oversight, as NSF requires acknowledgment. The grant number is: NSF grant IOS-1656260.

Key concepts: Biology, Anopheles stephensi, Malaria, Genome, Computational biology, Chromosome, Anopheles, Vector (molecular biology)

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Author Correction: Hidden genomic features of an invasive malaria vector, Anopheles stephensi, revealed by a chromosome-level genome assembly — Research Paper | ScholarLens